242 results on '"Yiu-Kai Ng"'
Search Results
2. A Personalized Book Recommender System for Adults Based on Deep Learning and Filtering.
3. Easy to Find: A Natural Language Query Processing System on Advertisements Using an Automatically Populated Database.
4. Retrieving and Ranking Relevant Products from Boolean Natural Language Queries.
5. A Hybrid Approach for Summarizing User Reviews Based on KL-Divergence and Deep Learning.
6. Query-relevant sentiment summarization based on facet identification and sentence clustering.
7. Identifying Maturity Rating Levels of Online Books.
8. Analyzing the Preferences and Personal Needs of Teenage Readers to Make Book Recommendations.
9. A Simple, Concise, Query-based Approach to News Article Summarization Using Sentence Scoring.
10. Research Paper Recommendation Based on Content Similarity, Peer Reviews, Authority, and Popularity.
11. Recommending Video Games to Adults with Autism Spectrum Disorder for Social-Skill Enhancement.
12. 'Don't Judge a Book by its Cover': Exploring Book Traits Children Favor.
13. Using a Deep Learning Model, Content Features, and Author Metadata to Recommend Research Papers.
14. Personalized Book Recommendation Based on a Deep Learning Model and Metadata.
15. Age-Suitability Prediction for Literature Using a Recurrent Neural Network Model.
16. Recommending social-interactive games for adults with autism spectrum disorders (ASD).
17. Movie Recommendations Using the Deep Learning Approach.
18. A Graduate School Recommendation System Using the Multi-Class Support Vector Machine and KNN Approaches.
19. Recommending Long-Tail Items Using Extended Tripartite Graphs.
20. Enhancing long tail item recommendations using tripartite graphs and Markov process.
21. Personalized Table-Top Game Recommendations.
22. CrsRecs: A personalized course recommendation system for college students.
23. Using tripartite graphs to make long tail recommendations.
24. Personalized Recipe Recommendations for Toddlers Based on Nutrient Intake and Food Preferences.
25. Recommending Books for Children Based on the Collaborative and Content-Based Filtering Approaches.
26. Making personalized movie recommendations for children.
27. Orthogonal query recommendations for children.
28. Clustering Retrieved Web Documents to Speed Up Web Searches.
29. Suggesting Simple and Comprehensive Queries to Elementary-Grade Children.
30. Web Search Using Summarization on Clustered Web Documents Retrieved by User Queries.
31. Analyzing Book-Related Features to Recommend Books for Emergent Readers.
32. Generating extractive sentiment summaries for natural language user queries on products
33. How Can We Help Our K-12 Teachers?: Using a Recommender to Make Personalized Book Suggestions.
34. Automating readers' advisory to make book recommendations for K-12 readers.
35. Enhancing Web Search Using Query-Based Clusters and Labels.
36. A Probabilistic Query Suggestion Approach without Using Query Logs.
37. What to read next?: making personalized book recommendations for K-12 users.
38. Predicting the ratings of multimedia items for making personalized recommendations.
39. With a Little Help from My Friends: Generating Personalized Book Recommendations Using Data Extracted from a Social Website.
40. ReadAid: A Robust and Fully-Automated Readability Assessment Tool.
41. A query-based multi-document sentiment summarizer.
42. A personalized recommendation system on scholarly publications.
43. A community question-answering refinement system.
44. An Unsupervised Sentiment Classifier on Summarized or Full Reviews.
45. Personalized Book Recommendations Created by Using Social Media Data.
46. A Performance Evaluation Framework for Library Search Engines.
47. Classifying Sentence-Based Summaries of Web Documents.
48. Retrieving good, better, and best answers to questions in advertisements.
49. Generating Fuzzy Equivalence Classes on RSS News Articles for Retrieving Correlated Information.
50. Identifying Spam Web Pages Based on Content Similarity.
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