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Intelligently formulating the RPA execution path is conducive to saving labor costs and improving the promotion of RPA for enterprises. For the first time, this paper proposed based on improving DDQN algorithm for RPA path planning. First of all, the problem that the working environment of RPA was a Web page, which didn't meet the exploration conditions of the depth enhancement algorithm, with the help of the idea of metaphor map, it built the virtual environment to meet the requirements of the path planning experiment. At the same time, in order to improve the exploration efficiency of DDQN algorithm, this paper proposed to use the Jaccard coefficient of the location information between samples as a sample priority and combined it with rank-based prioritization to build new sampling methods. This paper randomly used task samples on the virtual environment to verify to demonstrate compliance with the experimental requirements. Further comparison of experimental results of the improved DDQN with DQN, DDQN, PPO and SAC-Discrete shows that the improved algorithm has fewer iterations, faster convergence speed, and higher return value, indicating the effectiveness and feasibility of the improving DDQN algorithm. [ABSTRACT FROM AUTHOR]

Copyright of Tourism Tribune / Lvyou Xuekan is the property of Tourism Institute of Beijing Union University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Forensic Science & Technology is the property of Institute of Forensic Science, Ministry of Public Security and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Aiming at the ubiquitous network spammers on e-commerce platform, this paper proposed an algorithm considering network structure and time characteristics to detect the spammer groups in the comment network. The algorithm consisted of four steps: a) mining the target products that were vulnerahle to attack by the spammers based on the analysis of the structural characteristics of the comment network; b) this paper proposed an algorithm for mining the suspicious period when the spammer groups attacked the target product inspired by the "co-bursting phenomenon" ; c) this paper constructed the induced subgraph of target products-reviewers based on the data of target product in suspicious period, and applied hierarchical agglomerative clustering algorithm to generate candidate spammer groups on the subgraph; d) in order to filter out the normal users who shopped and commented during the suspicious period, this paper proposed a spammer groups purification method, and then classified the purified groups based on the behavior characteristics of the reviewers. The experimental results based on real data sets show that the proposed algorithm can accurately and efficiently detect the network spammer groups active on e-commerce websites. [ABSTRACT FROM AUTHOR]

Internet advertising effectiveness evaluation is the core issue of online marketing. At present, the evaluation criteria of Internet advertising effectiveness are different. However, the evaluation methods have problems such as single source of information, no difference in falsehood, and global assumptions, which poses great challenges to the evaluation of Internet ad vertising effectiveness. Finding a new evaluation index to measure the effectiveness of Internet advertising has become an urgent task. This paper first proposed the concept of impression space innovatively as a more effective evaluation index of Webpage advertising effects to solve th e single problem of information source. Secondly, this paper analyzed the impact of user types, behaviors, behavioral processes and other characteristics on the evaluation criteria of Internet advertising effectiveness, and eliminated the evaluation bias caused by the user's indifference hypothesis. Thirdly, this paper introduces the local characteristics of Web pages, and analyzed the influence of factors such as page layout, advertisement and page content relevance on Internet advertising effected to eliminate global assumptions. Finally, this paper constructed an impression space model based on multimodal features to predict the effectiveness of Internet advertising. The experimental results show that the accuracy rate of the impression space proposed by this paper is significantly improved to 92. 4%. Moreover, the prediction results of the impression space model are not only more accurate and scientific, but also have obvious interpretability. [ABSTRACT FROM AUTHOR]

There exists several issues in traditional collaborative filtering algorithms, which has the sparsity of user rating matrix and ignores the relationship between item attributes. Considering above problems, this paper proposed a novel collaborative filtering algorithm combining score ratio factor and item attribute. This algorithm used the scoring matrix to obtain the ratio matrix of common and non-common score users between items. Therefore, it increased the influence degree of the users of the item common score, and reduced the error caused by the sparsity of the user-item scoring matrix on the item similarity calculation. It quantified the item attribute to obtain the weight of the item similarity, and it also improved the accuracy of the item similarity calculation. According to the above two points, this paper proposed an algorithm combining scoring scale factor and item attribute weight as item similarity weight. Experimental results show that the proposed algorithm improves the recall rate and accuracy by 5. 1% and 4. 7% respectively compared with the existing methods. The algorithm is suitable for personalized recommendation of e-commerce websites. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Educational Research & Development / Jiao Yu Yan Jiu Yu Fa Zhan Gi Kan is the property of National Academy for Educational Research and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Tourism Tribune / Lvyou Xuekan is the property of Tourism Institute of Beijing Union University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

At present, there are two major problems in the mainstream web page extraction methods: the extraction information type is single, and it is difficult to obtain multiple kinds of news information. More reliance on HTML tags, its difficult to extend to different sources. Therefore, this paper proposed an information extraction method of news Web pages based on multidimensional text features. It divided writing, semantic and location features into writing features by using the writing features of news texts. And it used multi-channel convolutional neural network to fuse multi-dimensional text features to extract multiple types of news Web pages. Only a small amount of data set training was required to extract news Web page information from new sources. Experimental results show that the performance of this method is better than the current optimal method. [ABSTRACT FROM AUTHOR]

The traditional public opinion data collection methods of power network have some problems, such as low recall rate, low calculation accuracy and being time-consuming. Therefore, the topic crawler technology was used to improve the data collection method. Firstly, the topic crawler technology was used to build the data collection framework, and based on the framework, the topic vector of network public opinion was constructed. Secondly, we defined the topic and keyword of network public opinion, and calculated the similarity between keyword vector and power web page by using the similarity model, which was added to the web crawler queue. Finally, used the best first search strategy, setted the web page with the highest similarity as the first priority, downloaded and stored network public opinion related data, completed data crawling and realized data collection. The experimental results show that the average recall rate of the method in this paper is as high as 92%, the accuracy of web page similarity calculation is higher than 90%, and the average time of data acquisition is 36 minutes, which is better than the comparison method. [ABSTRACT FROM AUTHOR]

Based on the strategic analysis of problem solution, the paper points out the future development orientation of tourist personalized recommending service: temporal and spatial integration. The authors hold the view that the integration of 3 types of websites--tourism websites, Virtual Electronic Social Networks (ESNs) and websites providing Location Based services (LBS) will become the breakthrough point for future development. Selecting more than 20 representative tourism websites including www.ctrip.com, www.renren.com, www.qieke.com, et, al., the authors analyse current development status of tourism websites and find the 3 foregoing internet service platforms tend to be integrated in their development, thus tourist personalized recommending service has been provided an informatization environment for its future temporal-spatial development trend. We have also designed a framework of eight contents for personalized recommending services; namely, information retrieving; auxiliary decision-making for personalized travel plan; dynamic organization for travel with friends; business recommendation; navigation in scenic spots; tour guide arrival based on tourists' current location; ESNs members' word-of-mouth recommendation and dynamic travel warnings for overflow of tourists. The paper is a scholastic pursuit for future development trend of e-commerce and tourism informatization. [ABSTRACT FROM AUTHOR]

Session-based recommendation aims to predict the next click based on the user 's current click behavior. Previous methods mainly focus on the time-series pattern ( i. e. sequential pattern ) in session, nearly ignoring the complex transition among items . To this end, inspired by PageRank, this paper proposed an influence diffusion model, which built the bridge between session clicks and web page jumps. Specifically, this method built a session graph based on the explicit time-series pattern of the session sequence, which could model more meaningful transition patterns. Furthermore, it applied a graph diffusion model to capture the potential interactions among items. In the process of session representation, this method proposed a novel position encoding method to tackle the problem of interest shift and an intention extraction layer on top of it, which could extract core intention in multi-interest session. The experimental results on real-world data demonstrates the advantages of this method over state-of-the-art methods. [ABSTRACT FROM AUTHOR]

The existing spam website detection methods are mainly aimed at self-built spam websites， and not suitable for injected spam websites because of the low efficiency of link detection. This paper proposes a new detection method， in which a detection framework is based on multi-dimensional features of webpage structure and text. The framework divides the webpage into blocks. Then content features are extracted by calculating odd ratio and structural features based on tags， attribute keys and attribute values are extracted by using the one-hot rate. The detection model is generated by proper machine learning and used to detect spam links. The detection accuracy of this framework is increased by up to 13%， compared with the algorithms based on content detection and on blacklist matching. [ABSTRACT FROM AUTHOR]

Aiming at vulnerabilities mentioned above, this paper put forward a method to detect SQL injection attack based on SimHash algorithm. Firstly, it generated the initial SimHash fingerprint database after segmenting, hashing, weighting, merging, and dimension-reducing each SQL statement through self-learning process. Secondly, it used the initial fingerprint database to build the SimHash fingerprint database with index structure. Thirdly, it judged the legitimacy of each SQL statement by combining strict white list strategy which took " users' action is either black or white" as its core concept with the SimHash fingerprint database. Thereby, it lowered the risk of hacker' s attacks bypassing the defense system. Experiments show that the detection method has a favorable performance of defensing SQL injection attack, including defensing some unknown ones, which is especially applicable for medium and small-sized websites. [ABSTRACT FROM AUTHOR]

By the development of theIinternet and exponential growth of network information, there are a large number of duplicated pages on the network. The fact reduces the retrieval of speed and precision, and affects the retrieval efficiency, moreover, influences the quality of search engine. On the basis of the structural text description, this paper proposes an improved eliminating repetitive algorithm method by using MD5. The paper deals with the algorithm content, algorithm characteristics and algorithm design. It has been proved through experiment that the method has a good effect on improving the recall ratio and the precision. [ABSTRACT FROM AUTHOR]

With the rapid development of corporate social responsibility (CSR) practices in the Chinese hotel industry (which include the green hotel movement, environmental protection and charitable donations), researchers are increasingly interested in CSR within this industry from various angles and different theoretical perspectives. Some researchers have explored the antecedent or motivation of CSR practices within Chinese hotel enterprises. These researchers have found that CSR practices are working positively with hotel managerial ethics, institutional pressures and market orientation. Other researchers pay attention to the mechanisms of CSR behavior and examine how CSR practices are actually carried out in hotel enterprises. Nevertheless, little theoretical attention has been paid to understanding what CSR practices implemented in Chinese hotels really achieve. This paper aims to fill this gap by focusing on CSR reports from top Chinese hotel-management companies. Using content analysis of public CSR information (which includes data from independent CSR or sustainability reports, official hotel websites and CSR news) from the top 15 Chinese hotel-management companies (rated by room number in 2010), we found several key CSR characteristics. First, the main CSR practices of top Chinese hotel-management companies are charitable donations (particularly for disaster relief), volunteer activities, green hotel practices and the reduction of energy consumption. Second, providing accommodation and support for governmental activities or hospitality is considered an important part of hotel CSR for central and local governments. This reflects the unique combination of CSR characteristics in the Chinese hotel industry experienced in a transitional economic environment. Third, Chinese hotel-management companies feel more responsibility towards the community and society, the environment, employees, governments and customers than suppliers, competitors or creditors. This partly reflects CSR' s global nature, which goes beyond the law. Fourthly, Chinese hotel-management companies are beginning to link CSR to their core business. This means strategic CSR practices are emerging in the Chinese hotel industry. Finally, disclosure of CSR information by hotel management companies is more likely to be made by official hotel website news reports and less likely to be made by independent CSR reports or CSR columns within hotel websites. This study makes two important theoretical contributions. It adds to CSR literature through content analysis of CSR information disclosed by top hotel management companies in China, one of the world' s most important emerging economies. The findings from this study assist understanding CSR behaviors in developing countries. Second, this paper contributes to hotel management literature. Our findings help us understand the behavior of Chinese hotel-management companies and compare them with hotel enterprises in other countries, particularly in developed economies. Our study also has implications for managers. Our results can assist group and independent hotel managers in understanding hotel CSR practices and improve their CSR awareness. This can help hotels focus on CSR information disclosure and improve the quality and channels of CSR information disclosure. Our findings can also stimulate mutual CSR knowledge exchange and transfer between hotel enterprises and improve CSR cognition and practice levels across the entire hotel industry. Further, our study can also give insights to managers in other service industries because CSR practices within the hotel industry are more advanced than within other service industries. This study has two limitations. The first is that public CSR information is constantly evolving. This paper' s content analysis was performed during the first quarter of 2012. Information may have since changed to include or dismiss data found in this study. Second, public CSR information may have a social desirability' problem, meaning published material may more likely include 'good news' stories. [ABSTRACT FROM AUTHOR]

Group buying is one of the popular online shopping behaviors. However, most studies discussed it only from the viewpoints of price. This paper integrates the factors influencing online shopping behavior in group buying websites. The research results are shown as follows: (1) website quality and incentive mechanism have significant effects on the transaction cost; (2) website quality have significant effects on the incentive mechanism; (3) website quality and incentive mechanism have significant effects on the customer value; (4) customer value, trust and demand externality have significant effects on the purchasing intention. [ABSTRACT FROM AUTHOR]

Under the background of the rapid development of information technology, the functions of tourist websites and tourists' needs are undergoing corresponding changes. It is of great significance to grasping the trend of the changes for the development of tourist websites. The paper makes a survey of 100 tourists and 75 China's 5A-rated websites in tourist attractions in 2005 and 2010 so as to obtain tourists' perceptions of the changes of evaluation indicators as well as changes of websites. Based on this, the authors analyze the changes of tourists' needs about tourists websites in tourists attractions and changes of websites applying internet technologies. Meanwhile, the paper, through the interrelative comparison of IPA method, makes an analysis of the changes of the development of tourist websites that keep pace with tourists' expectations and those that do not conform with their expectations. The paper furthermore elaborates problems existing in China's tourist websites in the past five years and future orientation for improvement. Finally, the paper also discusses the prospect for the application of these study results among academia and industrial circle. [ABSTRACT FROM AUTHOR]

With the development of society and economy, the demand for higher education is increasing. Several years ago, the total number of graduate students graduated each year from the university has been more than 1 500. The level of education covers doctoral, master of academic and master of engineering. The external review of postgraduate thesis is a necessary step to guarantee the quality of the thesis. This paper aims at minutely collating and clarifying the whole approval process of postgraduate thesis external reviews, thoroughly enumerating the complete list of relative data, creating the database for theses and external review experts, describing the functions and interfaces of the Web system, especially the module of the review. After completing the establishment and implementation, the Web system can be remote accessed through the Internet. Through the Web system, each of postgraduate students can submit or update his or her thesis within a specified time period. The invited external reviewer or other related persons can view it online in their own browser Web page. They can also download the full-text of the designated anonymous thesis. The name of author has been obscured in both manners. Thesis’ grading and review remark by the reviewer can be entered and completed on the Web page in some stipulated format. And the student, his or her supervisor, college or university the Web system administrator can check the results in any suitable time. [ABSTRACT FROM AUTHOR]

Cross-site scripting is a common way of exploiting Web application security vulnerabilities. A malicious user exploits a vulnerability to inject a malicious script into a Web page, and when the user browses the page, it triggers the script, causing the attack to occur. This paper studied a recursive feature elimination algorithm based on regular expression and support vector machine(RE-SVM-RFE) for each kind of deformation. Firstly, it used the regular expression matching algorithm to select a representative training set of characteristics, for the data preprocessing. Then it reused RE-SVM-RFE feature selection algorithm to select the optimal characteristics, and sorted the offensive keyword feature. Finally, it summarized the frequency of occurrence of the keyword feature, found that the higher the frequency the greater the likelihood loopholes. Experimental results show that, after the data RE-SVM-RFE recursive feature elimination after SVM feature selection algorithm, higher accuracy of prediction, and better sensitivity and specificity, the algorithm can effectively detect XSS. [ABSTRACT FROM AUTHOR]

In the traditional Web page ranking algorithm Okapi BM25, there exists a problem that the retrieval results are independent to the domain keywords, and the improved algorithm needs to build the domain vector manually. To address this issue, this paper proposed a Web page ranking algorithm based on BM25 and softmax regression classification model. The method first encoded the Web page text with the bag-of-words model. And then trained the softmax regression classification model by a small amount of Web data to predict the category scores of the test Web data. Finally it combined the category scores and the BM25 information retrieval scores to get the final ranking of Web page results. Experimental results show that this method can meet the user’s information need better without even manually creating the domain vector. [ABSTRACT FROM AUTHOR]

Although the major e-commerce model of food and beverage industry is selling physical food products in website stores, different business models like selling dining e-coupons and booking seats of restaurants have risen to achieve a virtual and actual integrated model. These new business models will impact the interactive relations between restaurants operation and customers purchasing behavior. Hence, this paper took a dining e-coupon sales website in Taiwan as survey object and combined TAM and ISCM to develop appropriate research framework. Goal of this research is tried to explore and analyze customer acceptance behavioral model of this website. Research results can be used as references of developing new food and beverage industry e-commerce models in the future. The questionnaires were distributed to online users of this website by purposive sampling method. Analysis results showed that the using perception of online customers was dominated by process and effectiveness during purchasing and using dinning e-coupons but not affected by the satisfaction of using experience. In addition, the intent of continuing use of online customers was also mainly affected by the effectiveness of purchasing and using processes. Therefore, this research suggested that this dinning e-coupon needs to reconsider the actual effect of e-coupons for their customers as key points of this website. On the other hand, optimization of the website information quality and continuous development of remedial measures for service faults are the major operation directions to enhance the attraction and adhesion of website users. [ABSTRACT FROM AUTHOR]

The available studies have confirmed that personalized service will improve the service quality of travel websites and greatly enhance consumers' satisfaction. However, personalized service will involve the privacy information of network consumers, which is likely to restrict the development of personalized service. The paper, by introducing the key influencing factors such as trust and successful experience, constructs the model which indicates the influencing process between consumers' privacy concern and the behavior intention of consumers using personalized service. Through the study method of experimental design and by using 177 valid samples for testing, we find the following results: 1. the consumers' privacy concern has negative impact on the behavior intention of using personalized service of travel websites; 2. consumers' trust in the travel websites has mediating effect on the relationship between privacy concern and behavior intention; 3. whether consumers have successful experiences in using travel websites or not has positive and regulating effect on the relationship between trust and behavior intention. [ABSTRACT FROM AUTHOR]

In order to guide users to use well and improving websites' quality and constructing the Web semantic model, this paper presented a new approach and framework of learning from Web pages, and used formal concept analysis (FCA) to build the semantic concept tree. Firstly, it used information extraction and natural language processing tools to extract and segment texts, and then identified feature words by statistical methods. Secondly, it transformed feature words into thesaurus terms by using search-engine-based similarity calculation. Thirdly, it formed a formal context, and reduced the context by using rules, clustering and other techniques. Finally, it constructed concept lattice by using some algorithm to get hierarchy, which then transformed into the concept tree. Experimental results show that the concept tree can be used as the basis of Web ontology model, and have a profound signification for semantic assessment. The proposed algorithm has a certain value and referenced significance. [ABSTRACT FROM AUTHOR]

This paper proposed a model using critical non-functional requirements to measure software trustworthiness, and analyzed the definitions including in this model, such as software trustworthiness, non-functional requirements, critical nonfunctional requirements. Furthermore, it analyzed non-functional requirements decomposition and weights, subdivided and nonfunctional requirements into A, B, C, D four types for better acquisition. At last, it elaborated a "online travel" website in the Web application software the model of measuring process in detail. The proposed model is a general measurement model of software trustworthiness, applying to different form of software, supporting customizing of software trustworthiness, having certain guiding significance for measuring software trustworthiness. [ABSTRACT FROM AUTHOR]

In the knowledge economy times, the Internet as the core of information technology has brought significant opportunities for the development of the tourism industry. With the rapid development of tourism e-commerce, online travel websites have become an important platform for tourism information search and reservation in the wave of the Internet economy. The interactivity, real-time and convenience of the network has gradually been combined with the traditional tourism transactions, prompting the rapid pace of development of Chinese tourism industry. So far, online tourism transactions are dominant. However, in real life, most consumers still prefer to search for information online and purchase travel products offline. Among a variety of reasons, lack of trust is the most obvious cause. Most tourists consider that online tourism trading is high risk and uncertain. As tourism websites are the direct interface and channel to consumers, the information content, transaction systems and service of tourists which are provided by the websites have become significant factors affecting the online trading willingness of tourists. The purpose of this study is to investigate the effects of website information type, brand and service guarantee on tourism online trust. The key methodology of this paper consists of a laboratory experiment, which is of high internal validity. A 2 x 2 x 2 factorial design is conducted in this research. Eight different scenarios are contrived in accordance with the levels of three independent variables including "information type" (specific vs. general), "brand reputation" (high vs. low) and "service guarantee" (with vs. without). The results show that the effects on tourism online trust are stronger when tourism websites have a high brand reputation and service guarantee rather than low brand reputation and are without a service guarantee. However, beyond our expectation, there is no significant difference between specific information and general information websites on tourism online trust. What's more, the effects on tourism online trust are influenced by the interaction between information type and brand reputation as well as between information type and service guarantee. When the brand reputation is low or without a service guarantee, the degree of trust of the specific information website is higher than the general information websites. Similarly, the effect on tourism online trust is also influenced by the interaction between service guarantee and brand reputation. By carrying out service guarantees to reduce perceived risk, those who have not formed a website with high brand reputation can achieve significant effects, better than those that already have a high brand reputation. Finally, implications for theory and practice are discussed. [ABSTRACT FROM AUTHOR]

The fast development of information technology has established an important foundation for the combination of network and tourism, and opened up an entirely new era for the practice of modern tourism. Therefore, understanding and analyzing the psychology and behavior of consumers' online tourism participation is becoming more and more critical to tourism marketing and management. As an increasingly popular mode of modern tourism, online tourism has become one of the most significant manifestations of tourism informational development, and at the same time, it has become the vital direction of globe tourism development nowadays. However, the existing studies mainlyfocus on the characteristics of consumer participation behavior in online tourism, and not on the effect of tourism website characteristics, consumer participation motivation, participation processes, participation psychology and behavioral mechanism. In order to examine the impact of tourism website characteristics on consumer participation psychology and subsequent participation behavior, this paper introduced the self-determination theory from psychological science to online tourism consumer behavior study. To accomplish the research goal, this study tested 12 hypotheses and constructed the conceptual model of online tourism consumer participation psychology and behavior based on the systematic review of relevant studies. The participants were 397 tourism websites users and each completed an online survey. Structural Equation Modeling was used in the data analysis. Major findings included that perceived tourism website familiarity and service norm had positive effects on consumers' autonomy, competency, and relatedness--he three factors that influence consumers' self-determination states when they participate in the online activities. That is to say, when online tourism consumers perceived higher website familiarity and better website service norm, they would have the greater perception of autonomy, competence and relatedness. The structural path coefficients between website familiarity and autonomy, competence and relatedness were 0.0363, 0. 298 and 0. 188, respectively. Self-determination state ( e. g., autonomy, competency, and relatedness) then had the positive effect on consumer perceived engagement and information searching behavior in tourism websites. The structural path coefficients were 0. 246 (from autonomy to consumer perceived engagement), 0. 304 (from competency to consumer perceived engagement), 0. 161 (from relatedness to consumer perceived engagement), 0. 395 (from autonomy to information search behavior), 0.253 (from competency to information search behavior) and 0.048 (from relatedness to information search behavior) . If consumers scored high in autonomy, competence and relatedness, they would be more engaged and more actively in the online activities and spend much more time and energy in information searching. This study adds to the research on self-determination experience during online tourism consumer participation by arguing that positive psychological experience the online customers had would impact their further online tourism participation behavior. Meanwhile, in the Web 2.0 times, with the an increasingly close relationship between consumers and companies, we suggest tourism companies to use Internet to enhance their brand awareness, improve their service, communicate with consumers, formulate effective mechanism to attract more consumers and bring more positive psychological experience for online tourism consumers. Thus, consumers would be more likely to be involved in tourism online participation processes and stay loyal to tourism websites. [ABSTRACT FROM AUTHOR]

Tourism E-commerce, as the product of the combination of tourism industry and information technology, enjoys wide prospect for development on global scale. Amid the wave of tourism E -commerce, portal websites are being built rapidly in tourism attractions and new competitive advantages are being created. However, due to current limitation in the study of websites, we still lack a fixed criterion to evaluate the construction of websites in tourism attractions, which lacks theoretical and scientific guidance. The paper aims to establish maturity model to comprehensively evaluate websites in tourism attractions and guide their scientific development through evaluation approach and theoretical analysis of maturity model ( MA-CMM) and assess basic situation and inadquancy of portal websites in China' s 5A rated tourism attractions so as to instruct the construction of tourism websites and offer guidance for the building of tourism informatization in China [ABSTRACT FROM AUTHOR]

Citizen video news is a specific kind of citizen journalism, it develops fast for the growing of video websites and cellphone & camera in recent years, also causes increasing impact. However, research emphasis tend to be from the perspective of citizen journalism theory. This paper uses content analysis to view the 380 pieces of video news from sohu, sina, youku and ku6 websites from May 2009 to April 2010, mainly include two parts: the first is quantitative description of technical form, content type and reporting styles of the citizen video news; The second part focuses on the correlation between various factors and causal relationships from statistical analysis. Statistics show that: citizen video news of the average length is 3.79 minutes, the preferences are using background music, subtitle and not using still pictures, frame out and news explanation; Analysis shows that: accidents and disasters video has significant impact on the credibility; non-mainstream events significantly influence click rate; livelihood of the people recording video has a significant effect on the message; value orientation, the technical form are both not associated with click rate and message. [ABSTRACT FROM AUTHOR]

Recognizing special Named Entities from Chinese Web search query logs is very useful for practice. In this paper, a few seed words and feature selection techniques are used to extract features from the query logs first, and then the features are combined into a text classifier for NE recognition. Experiments on a handred million queries to mine six types of Special Named Entities show that it is able to find high quality Special Named Entities from Chinese Web search query logs. The average P@ 500 of the six classes achieves 77%. [ABSTRACT FROM AUTHOR]

The paper has introduced the development of the online registration system on autonomy enrollment of coleges web of B/S mode based on ASP. NET technology, and elaborated the construction, application and characterstics of the system and its essential technologies. [ABSTRACT FROM AUTHOR]

As the applying of Ajax,it becomes more and more difficult to abtain the data from the Deep Web sites. Especially,the query interface is the key to obtain the Deep Web data. In this paper, an Ajax analysis-processing model is proposed for the query interface which has applied the technology of Ajax. Therefore, the problem that the traditional crawler can not complete the submission of the form is solved in this way, and more and more Deep Web data is obtained. Experiments indicate that this method is effective. [ABSTRACT FROM AUTHOR]

Copyright of Chinese Journal of Psychology is the property of Wu-Nan Book Inc. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of NTU Management Review is the property of NTU Management Review and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In this study, a research is conducted on backpackers' continuing use in travel websites based on Expectation Confirmation Theory (ECT). Efforts are made to generalize factors that influence continuing use behavior through the literature review on the topic of websites' characteristics, information technology adoption, and Information systems success. So far, there hasn't been any research in ECT investigating continuing use in subjects of backpackers. Therefore, we extended the variables of ECT to better explain the continuing use of travel websites under different context. This research subjects were mainly focused on backpackers in Taiwan who used to travel domestically or internationally on their own rather than traveling through the arrangement of travel agency. Data analysis is conducted via LISREL statistical analysis, with 251 valid questionnaires returned. This study concludes five main results with using travel websites, including: (1) Perceived quality (information quality, system quality and service quality) of travel websites has a positive impact on the expectation confirmation. (2) Expectation confirmation has a positive effect on the extent of perceived use characteristics (perceived usefulness, perceived ease of use) of travel websites and use satisfaction. (3) Perceived use characteristics of travel websites have a positive impact on the use satisfaction. (4) Perceived use characteristics of travel websites have not a positive impact on continuing usage intention. Finally, use satisfaction of travel websites has a positive significance on continuing usage intention. On the whole, most of hypotheses were supported. Implications are also provided. [ABSTRACT FROM AUTHOR]

In order to improve the cost on number of participants and experimental time resulted by applying traditional card sorting method, in 2008 Paul proposed a novel new card sorting method named modified Delphi card sorting to help in web sites constructions. This method is reformed from Delphi experiment in linear manner. Each participant proposes feedbacks and adjustments to the sorted architecture done by the previous participant, and then gives his results to the next participant. The final architecture result will be considered as a consistent one for all participants. The inter-influence between contiguous participants will be inevitable during the experiment. However, all the rest participants will be affected by the sorted architecture generated by the seed participant; it may be the major impact source. Whether the backgrounds of the seed participants will have impacts on the effectiveness of findability of final architectures, is a critical issue to conduct modified Delphi card sorting. In this study, we designate three persons who are related to information architecture discipline as the seed participates: a librarian, a student user, and an information architect. The following participants are the group of same student users randomly selected from the university, but in different orders during experiment process, to produce three diverse website architectures. Finally, the findability questionnaire is conducted and statistical analysis is applied to explore that whether the backgrounds of the seed participants will affect the findability of websites finally generated by modified Delphi-type card sorting method. [ABSTRACT FROM AUTHOR]