Mining the real-time web: A novel approach to product recommendation

Knowledge-Based Systems

Volumn 29, Issue , 2012, Pages 3-11

  Garcia Esparza, Sandra ^a   O'Mahony, Michael P ^a   Smyth, Barry ^a  

^a UNIVERSITY COLLEGE DUBLIN   (Ireland)

Author keywords

Information retrieval; Micro blogging; Real time web; Recommender systems; User generated content

Indexed keywords

DATA SETS; INDEXING AND RETRIEVAL; MICRO-BLOGGING; MOVIE RATINGS; PRODUCT FEATURE; PRODUCT RECOMMENDATION; REAL-TIME WEB; STRUCTURED DATA; TEXT MESSAGES; USER-GENERATED CONTENT;

INFORMATION RETRIEVAL; RECOMMENDER SYSTEMS; TELEPHONE SYSTEMS;

SOCIAL NETWORKING (ONLINE);

EID: 84857370125     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2011.07.007     Document Type: Conference Paper

References (40)

1. S. Aciar, D. Zhang, S. Simoff, and J. Debenham Recommender system based on consumer product reviews Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence 2006 IEEE Computer Society Washington, DC, USA 719 723
2. G. Adomavicius, and A. Tuzhilin Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions IEEE Transactions on Knowledge and Data Engineering 17 6 2005 734 749 (Pubitemid 40860454)
3. S. Ahn, and C.-K. Shi Exploring movie recommendation system using cultural metadata Transactions on Edutainment II 2009 119 134
4. M. Balabanović, and Y. Shoham Fab: content-based, collaborative recommendation Communications of the ACM 40 3 1997 66 72
5. J.S. Breese, D. Heckerman, and C.M. Kadie Empirical analysis of predictive algorithms for collaborative filtering G.F. Cooper, S. Moral, Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence (UAI'98) 1998 Morgan Kaufmann 43 52
6. R. Burke Hybrid recommender systems: Survey and experiments User Modeling and User-Adapted Interaction 12 4 2002 331 370
7. I. Cantador, A. Bellogín, and D. Vallet Content-based recommendation in social tagging systems Proceedings of the fourth ACM conference on Recommender systems (RecSys'10) 2010 ACM New York, USA 237 240
8. O. Celma, and P. Herrera A new approach to evaluating novel recommendations Proceedings of the 2008 ACM conference on Recommender systems (RecSys'08) 2008 ACM New York, USA 179 186
9. S. Chelcea, G. Gallais, and B. Trousse A personalized recommender system for travel information Proceedings of the 1st French-speaking conference on Mobility and ubiquity computing (UbiMob'04) 2004 ACM New York, USA 143 150
10. J.L. Herlocker, J.A. Konstan, A. Borchers, and J. Riedl An algorithmic framework for performing collaborative filtering Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR'99) 1999 ACM New York, USA 230 237
11. M. Hu, and B. Liu Mining and summarizing customer reviews Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining (KDD'04) 2004 ACM New York, USA 168 177 (Pubitemid 40114926)
12. B.J. Jansen, M. Zhang, K. Sobel, and A. Chowdury Micro-blogging as online word of mouth branding Proceedings of the 27th international conference extended abstracts on Human factors in computing systems (CHI EA'09) 2009 ACM Press New York, USA 3859 3864
13. Y. Koren, Collaborative filtering with temporal dynamics, in: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28-July 1 2009, pp. 447-456.
14. Y. Koren, R. Bell, and C. Volinsky Matrix factorization techniques for recommender systems IEEE Computer 42 8 2009 30 37
15. C.W.-k. Leung, S.C.-f. Chan, F.-l. Chung, Integrating collaborative filtering and sentiment analysis: a rating inference approach, in: Proceedings of the European Conference on Artificial Intelligence (ECAI'06) Workshop on Recommender Systems, Riva del Garda, Italy, 2006, pp. 62-66.
16. R.J. Mooney, and L. Roy Content-based book recommending using learning for text categorization Proceedings of the Fifth ACM Conference on Digital Libraries (DL'00) 2000 ACM New York, NY, USA 195 204
17. T. Mullen, N. Collier, Sentiment analysis using support vector machines with diverse information sources, in: Proceedings of the conference on Empirical Methods in Natural Language Processing, 2004, pp. 412-418.
18. V. Pandey, C. Iyer, Sentiment analysis of microblogs. , 2009 (accessed 11.10).
19. B. Pang, L. Lee, S. Vaithyanathan, Thumbs up?: sentiment classification using machine learning techniques, in: Proceedings of the ACL-02 conference on Empirical methods in natural language processing (EMNLP'02), Association for Computational Linguistics, Morristown, NJ, USA, 2002, pp. 79-86.
20. M.J. Pazzani, and D. Billsus Content-based recommendation systems P. Brusilovsky, A. Kobsa, W. Nejdl, The Adaptive Web: Methods and Strategies of Web Personalization 2007 Springer-Verlag Berlin Heidelberg 325 341 (Pubitemid 351189202)
21. J. Pérez-Iglesias, J.R. Pérez-Agüera, V. Fresno, Y.Z. Feinstein, Integrating the Probabilistic Models BM25/BM25F into Lucene, CoRR abs/0911.5046, 2009.
22. D. Poirier, I. Tellier, F. Franoise, S. Julien, Toward text-based recommendations, in: Proceedings of the 9th international conference on Adaptivity, Personalization and Fusion of Heterogeneous Information (RIAO'10), Paris, France, 2010.
23. A.-M. Popescu, O. Etzioni, Extracting product features and opinions from reviews, in: Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing (HLT'05), Association for Computational Linguistics, Morristown, NJ, USA, 2005, pp. 339-346.
24. J. Read, Using emoticons to reduce dependency in machine learning techniques for sentiment classification, in: Proceedings of the ACL Student Research Workshop, ACL'05. Association for Computational Linguistics, Morristown, NJ, USA, pp. 43-48. , 2005.
25. P. Resnick, N. Iacovou, M. Suchak, P. Bergstrom, and J. Riedl Grouplens: An open architecture for collaborative filtering of netnews Proceedings of ACM Conference on Computer-Supported Cooperative Work (CSCW'94) 1994 Chapel Hill North Carolina, USA 175 186
26. S. Robertson, S. Walker, S. Jones, M. Hancock-Beaulieu, M. Gatford, Okapi at trec-3, in: Text REtrieval Conference (TREC), 1996, pp. 109-126.
27. S.E. Robertson, K.S. Jones, Simple, proven approaches to text retrieval. Tech. rep., Microsoft Research Ltd., University of Cambridge, Cambridge, UK, 1997.
28. G. Salton, and M.J. McGill Introduction to Modern Information Retrieval 1986 McGraw-Hill, Inc.
29. B. Sarwar, G. Karypis, J. Konstan, and J. Riedl Analysis of recommendation algorithms for ecommerce Proceedings of the 2nd ACM Conference on Electronic Commerce (EC'00) 2000 ACM Minneapolis, Minnesota, USA 158 167
30. B.M. Sarwar, G. Karypis, J.A. Konstan, J. Riedl, Item-based collaborative filtering recommendation algorithms, in: Proceedings of the 10th International World Wide Web Conference (WWW'01), Hong Kong, May 2011, pp. 285-295.
31. J.B. Schafer, J.A. Konstan, and J. Riedl E-commerce recommendation applications Data Mining and Knowledge Discovery 5 1-2 2001 115 153
32. S. Sen, J. Vig, and J. Riedl Tagommenders: connecting users to items through tags Proceedings of the 18th International Conference on World wide Web (WWW'09) 2009 ACM NY, USA 671 680
33. U. Shardanand, and P. Maes Social information filtering: algorithms for automating "word of mouth" Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI'95) 1995 ACM Press/Addison-Wesley Publishing Co. 210 217
34. B. Smyth, and P. Cotter A personalised TV listings service for the digital TV age Knowledge-Based Systems 13 2-3 2000 53 59
35. H. Tang, S. Tan, and X. Cheng A survey on sentiment detection of reviews Expert Systems with Applications 36 7 2009 10760 10773
36. C.J. van Rijsbergen Information Retrieval 1979 Butterworth-Heinemann Newton, MA, USA
37. J. Wiebe, E. Riloff, Creating subjective and objective sentence classifiers from unannotated texts, in: Proceedings of the 6th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing'05). Mexico City, Mexico, 2005, pp. 486-497. (Pubitemid 41251884)
38. R.T.A. Wietsma, F. Ricci, Product reviews in mobile decision aid systems, in: Pervasive Mobile Interaction Devices (PERMID 2005), Munich, Germany, 2005, pp. 15-18.
39. M. Zhang, and N. Hurley Statistical modeling of diversity in top-n recommender systems Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT'09) vol. 01 2009 IEEE Computer Society Washington, DC, USA 490 497
40. Z. Zhang, and B. Varadarajan Utility scoring of product reviews Proceedings of the 15th ACM International Conference on Information and Knowledge Management (CIKM'06) 2006 ACM New York, NY, USA 51 57 (Pubitemid 47203551)