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44 results on '"Kechid, Samir"'

1. A Deep Learning Architecture for Profile Enrichment and Content Recommendation

Author

Sadouki, Fatiha, Kechid, Samir, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Saeed, Faisal, editor, Al-Hadhrami, Tawfik, editor, Mohammed, Fathey, editor, and Mohammed, Errais, editor

Published
2021
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3. A Semantic-Based Personalized Information Retrieval Approach Using a Geo-Social User Profile

Author

Rafa, Tahar, Kechid, Samir, Barbosa, Simone Diniz Junqueira, Series Editor, Filipe, Joaquim, Series Editor, Kotenko, Igor, Series Editor, Sivalingam, Krishna M., Series Editor, Washio, Takashi, Series Editor, Yuan, Junsong, Series Editor, Zhou, Lizhu, Series Editor, Elloumi, Mourad, editor, Granitzer, Michael, editor, Hameurlain, Abdelkader, editor, Seifert, Christin, editor, Stein, Benno, editor, Tjoa, A Min, editor, and Wagner, Roland, editor

Published
2018
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11. Bees Swarm Optimization for Web Information Foraging

Author

Drias, Yassine, Kechid, Samir, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, Series editor, Tanaka, Yuzuru, Series editor, Wahlster, Wolfgang, Series editor, Siekmann, Jörg, Series editor, Prasath, Rajendra, editor, O’Reilly, Philip, editor, and Kathirvalavakumar, T., editor

Published
2014
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12. Exploring Folksonomy Structure for Personalizing the Result Merging Process in Distributed Information Retrieval

Author

Saoud, Zakaria, Kechid, Samir, Amrouni, Radia, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, Series editor, Tanaka, Yuzuru, Series editor, Wahlster, Wolfgang, Series editor, Siekmann, Jörg, Series editor, Prasath, Rajendra, editor, O’Reilly, Philip, editor, and Kathirvalavakumar, T., editor

Published
2014
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15. Automatic Test Data Generation Using a Genetic Algorithm

Author

Aleb, Nassima, Kechid, Samir, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Murgante, Beniamino, editor, Misra, Sanjay, editor, Carlini, Maurizio, editor, Torre, Carmelo M., editor, Nguyen, Hong-Quang, editor, Taniar, David, editor, Apduhan, Bernady O., editor, and Gervasi, Osvaldo, editor

Published
2013
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16. A New Approach for Distributed Symbolic Software Testing

Author

Aleb, Nassima, Kechid, Samir, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Murgante, Beniamino, editor, Misra, Sanjay, editor, Carlini, Maurizio, editor, Torre, Carmelo M., editor, Nguyen, Hong-Quang, editor, Taniar, David, editor, Apduhan, Bernady O., editor, and Gervasi, Osvaldo, editor

Published
2013
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27. An event-based geo-social user profile for a personalized information retrieval

Author

Rafa Tahar and Kechid Samir

Subjects
User information, Information retrieval, User profile, Process (engineering), Event (computing), Computer science, Event based, Adaptation (computer science), Personalization
Abstract

The user of a social website is often interested by information about events that have interested other users, especially his friends, and that appear remarkably in their researches, exchanges and sharing. In this paper, for a better description of the user and his interests, we propose: (i) a geosocial user profile that takes into account the event aspect of user information needs, (ii) a search process integrating the user profile for a better personalization and adaptation of the search results.

Published
2017

28. A geo-social user profile for a personalized information retrieval

Author

Kechid Samir and Rafa Tahar

Subjects
060201 languages & linguistics, Cognitive models of information retrieval, User profile, Information retrieval, Exploit, Computer science, Information access, 06 humanities and the arts, 02 engineering and technology, Query expansion, Human–computer information retrieval, 0602 languages and literature, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Relevance (information retrieval), Adaptation (computer science)
Abstract

Several works in user-centered personalized information retrieval treat independently the user's mobile and social contexts, and they develop and exploit separately the social and situational user profiles to improve the information access process. We propose, in this paper, a personalized information retrieval approach combining the social and situational user profiles to improve the search results relevance. We intend to improve two important phases of the research process, (i) user query expansion and (ii) adaptation of search results to the user profile.

Published
2016

29. Personalised distributed information retrieval-based agents

Author

Kechid, Samir and Drias, Habiba

Subjects
Information services industry -- Analysis, Information services industry -- Forecasts and trends, Information services -- Analysis, Information services -- Forecasts and trends, Computer-generated environments -- Analysis, Computer simulation -- Analysis, Information services industry, Market trend/market analysis, Computers and office automation industries
Abstract

Byline: Samir Kechid, Habiba Drias This paper proposes a new approach using a multi agents system for personalising the distributed information retrieval (DIR). Most prior research in DIR focused on selecting and merging information that has the most relevant content according to the query, but ignored the user's specific needs. Our approach extends the state-of-the-art in a DIR. Firstly, it develops an agent called user-agent for managing the user profile. Secondly, it develops an agent called source-agent for each information source in order to manage its information source. Finally, it develops an agent called agent-broker for cooperating between user-agent and each source-agent in order to select the best source and merge their best documents in response to the user's query. The approach has been experimented with several known information sources. The experimental results show that the approach: (1) improve the relevance of the result, (2) reduce the response times and (3) improve the system extensibility.

Published
2010

30. Contextual Source Selection for Federated Search in Mobile Environment

Author

Kechid Samir and Benachour Hamid

Subjects
Spatial contextual awareness, Context model, Information retrieval, User profile, business.industry, Computer science, 05 social sciences, Federated search, Context (language use), 02 engineering and technology, Ontology (information science), 0202 electrical engineering, electronic engineering, information engineering, Mobile search, 020201 artificial intelligence & image processing, 0501 psychology and cognitive sciences, Mobile telephony, Metasearch engine, business, 050107 human factors
Abstract

The emergence of new communication technologiesand the latest generation of smart-phone devices, allow the userto continuously access the Web, at any time and from any locationwith different devices. The introduction of the user and hisenvironment in the research process is intended to solve theinformation overload problem and to increase the accuracy ofthe retrieval system. In this paper, we present a new approachto select the best sources from different heterogeneous sourcesby exploiting a multidimensional contextual user profile in amobile environment, that includes the research situation "time, location ", the device and the user preferences. We also presentour approach to define user and source profiles, using externalontologies and a learning algorithm supervised by user resultssatisfaction score.

Published
2016

38. Mutli-agent System for Personalizing Information Source Selection

Author

Drias Habiba and Kechid Samir

Subjects
Information management, Intelligent agent, User profile, Information retrieval, Computer science, Multi-agent system, Selection (linguistics), Information source, Relevance (information retrieval), Data mining, State (computer science), computer.software_genre, computer
Abstract

This paper proposes a new approach using a multi agents system for personalizing the information source selection. Most prior research for information source selection focused on selecting the sources that has the most relevant content according to the query but ignored the user’s specific needs. Our approach extends the state of the art in distributed information retrieval. First, it develops models for representing both user and information source using feature based profiles. Second, it develops an agent called user-agent for managing the user profile. Third, it develops an agent called source-agent for each information source in order to manage its information source (source profile) in parallel. Fourth, it develops an agent called agent-broker for cooperating between user-agent and each source-agent in order to select the best source to the user’s query. The approach has been experimented with several known information sources. The experimental results obtained show that the approach: (1) Improve the relevance of the result. (2) Reduce the response times. (3) Improve the system extensibility.

Published
2009

39. Accès personnalisé à de multiples serveurs d'informations

Author

Kechid, Samir and Drias, Habiba

Abstract

RÉSUMÉ .Cet article décrit une approche de la recherche d'information permettant l'accès personnalisé à plusieurs serveurs d'information. L'accès à des serveurs d'informations distribués est souvent effectué en trois étapes, la première consiste à sélectionner les serveurs pertinents pour la requête, puis soumettre la requête à ces serveurs sélectionnés et finalement fusionner les résultats retournés par ces serveurs. L'objectif de cet article est d'intégrer l'utilisateur via son profil dans les processus de sélection et de fusions des résultats des serveurs. Nous avons testé notre approche sur les moteurs de recherches suivant : GOOGLE, YAHOO, ALTAVISTA, MSN, LYCOS, TEOMA, WISENUT, ALLTHWEB.

Published
2006
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44. Dynamic Web information foraging using self‐interested agents: Application to scientific citations network.

Author

Drias, Yassine and Kechid, Samir

Subjects
CITATION networks, WEBSITES, MULTIAGENT systems, INFORMATION retrieval, ACCESS to information, ONTOLOGIES (Information retrieval)
Abstract

Summary: In this paper, a dynamic information foraging approach is proposed. Game theory and more precisely normal‐form is adapted to model the addressed problem. We tackle the issue of Web information foraging as a game played by a set of self‐interested agents that aim at reaching relevant Web pages in a short time. We introduce three kinds of agents along with the strategies followed by each one of them. In fact, the actions performed by the agents would highly depend on the strategy they adopt. We propose a pure strategy, a mixed strategy, and a fully mixed strategy respectively for the three kinds of agents. The agents share a common goal, which is satisfying a specific information need and work together in order to achieve it. The cooperative aspect between the self‐interested agents allows to get information from the Web in an effective and efficient way. Furthermore, we discuss the dynamic aspect of our information foraging approach which is ensured thanks to a modular multi‐agent system architecture. In order to test our Web information foraging system, we performed extensive experiments on the Citation Network Dataset that includes more than 2.3 million scientific publications. A preprocessing step was conducted with the aim of classifying the publications according to the 2012 ACM ontology, the purpose being to make our approach scalable. We also compared the results of our approach with two information access approaches. The first one deals with Web information retrieval whereas the second concerns medical information foraging. The experimental results show the superiority of our approach in terms of efficiency and results quality. [ABSTRACT FROM AUTHOR]

Published
2019
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