A collaborative user-centered framework for recommending items in Online Social Networks

Computers in Human Behavior

Volumn 51, Issue , 2015, Pages 694-704

  Colace, Francesco ^a   De Santo, Massimo ^a   Greco, Luca ^a   Moscato, Vincenzo ^b   Picariello, Antonio ^b  

^a UNIVERSITY OF SALERNO   (Italy)

^b UNIVERSITY OF NAPLES FEDERICO II   (Italy)

Author keywords

Recommender systems; Sentiment analysis

Indexed keywords

ONLINE SYSTEMS; RECOMMENDER SYSTEMS;

COLLABORATIVE USERS; CONTEXT INFORMATION; MAKING DECISION; ON-LINE SOCIAL NETWORKS; SENTIMENT ANALYSIS; SYSTEM ACCURACY; USER SATISFACTION;

SOCIAL NETWORKING (ONLINE);

EID: 84947491614     PISSN: 07475632     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chb.2014.12.011     Document Type: Article

References (45)

1. G. Adomavicius, R. Sankaranarayanan, S. Sen, and A. Tuzhilin Incorporating contextual information in recommender systems using a multidimensional approach ACM Transactions on Information Systems (TOIS) 23 1 2005 103 145
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 2005 734 749
3. G. Adomavicius, and J. Zhang Stability of recommendation algorithms ACM Transactions on Information Systems (TOIS) 30 4 2012 23
4. M. Albanese, A. d'Acierno, V. Moscato, F. Persia, and A. Picariello A multimedia semantic recommender system for cultural heritage applications 2011 Fifth IEEE international conference on semantic computing (ICSC) 2011 IEEE 403 410
5. M. Albanese, A. d'Acierno, V. Moscato, F. Persia, and A. Picariello A multimedia recommender system ACM Transactions on Internet Technology 13 1 2013 3:1 3:32
6. I. Bartolini, V. Moscato, R.G. Pensa, A. Penta, A. Picariello, C. Sansone, and et al. Recommending multimedia visiting paths in cultural heritage applications Multimedia Tools and Applications 2014 1 30
7. G. Canfora, A.R. Fasolino, G. Frattolillo, and P. Tramontana A wrapping approach for migrating legacy system interactive functionalities to service oriented architectures Journal of Systems and Software 81 4 2008 463 480
8. F. Colace, M. De Santo, and L. Greco An adaptive product configurator based on slow intelligence approach International Journal of Metadata, Semantics and Ontologies 9 2 2014 128 137
9. F. Colace, M. De Santo, and L. Greco E-learning and personalized learning path: A proposal based on the adaptive educational hypermedia system International Journal of Emerging Technologies in Learning (iJET) 9 2 2014 9
10. F. Colace, M. De Santo, L. Greco, and P. Napoletano Text classification using a few labeled examples Computers in Human Behavior 30 2014 689 697
11. F. Colace, M. De Santo, L. Greco, and P. Napoletano Weighted word pairs for query expansion Information Processing & Management 51 1 2015 179 193
12. Colace, F., De Santo, M., & Greco, L. (2013). A probabilistic approach to tweets' sentiment classification. In Affective computing and intelligent interaction (ACII), 2013 humaine association conference on (pp. 37-42).
13. X. Ding, B. Liu, and P.S. Yu A holistic lexicon-based approach to opinion mining Proceedings of the 2008 international conference on web search and data mining, WSDM '08 2008 ACM New York, NY, USA 231 240
14. R. Dong, M.P. O'Mahony, M. Schaal, K. McCarthy, and B. Smyth Sentimental product recommendation Proceedings of the 7th ACM conference on recommender systems, RecSys '13 2013 ACM New York, NY, USA 411 414
15. P. Dourish What we talk about when we talk about context Personal and Ubiquitous Computing 8 1 2004 19 30
16. A.S. Drigas, R.-E. Ioannidou, G. Kokkalia, and M. Lytras ICTs, mobile learning and social media to enhance learning for attention difficulties Journal of Universal Computer Science 20 10 2014 1499 1510
17. Esuli, A., & Sebastiani, F. (2006). Sentiwordnet: A publicly available lexical resource for opinion mining. In Proceedings of the 5th conference on language resources and evaluation (LREC 2006) (pp. 417-422).
18. G. Ganu, Y. Kakodkar, and A. Marian Improving the quality of predictions using textual information in online user reviews Information Systems 38 1 2013 1 15
19. S.G. Hart, and L.E. Staveland Development of NASA-TLX (Task Load Index): Results of empirical and theoretical research Advances in Psychology 52 1988 139 183
20. Y. Hijikata, K. Iwahama, and S. Nishida Content-based music filtering system with editable user profile Proceedings of the 2006 ACM symposium on applied computing, SAC '06 2006 ACM New York, NY, USA 1050 1057
21. D. Ienco, C. Robardet, R.G. Pensa, and R. Meo Parameter-less co-clustering for star-structured heterogeneous data Data Mining and Knowledge Discovery 26 2 2013 217 254
22. K. Kabassi Personalisation systems for cultural tourism Multimedia services in intelligent environments 2013 Springer 101 111
23. A. Karatzoglou, X. Amatriain, L. Baltrunas, and N. Oliver Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborative filtering Proceedings of the fourth ACM conference on recommender systems 2010 ACM 79 86
24. Y. Koren Factorization meets the neighborhood: A multifaceted collaborative filtering model Proceedings of the 14th ACM SIGKDD international conference on knowledge discovery and data mining, KDD '08 2008 ACM New York, NY, USA 426 434
25. E. Kurilovas, A. Juskeviciene, S. Kubilinskiene, and S. Serikoviene Several Semantic web approaches to improving the adaptation quality of virtual learning environments Journal of Universal Computer Science 20 10 2014 1418 1432
26. Leung, C. W. K., Chan, S. C. F., & Chung, F.-l. (2006). Integrating collaborative filtering and sentiment analysis: A rating inference approach. In Proceedings of The ECAI 2006 workshop on recommender systems (pp. 62-66). Citeseer.
27. V. Maidel, P. Shoval, B. Shapira, and M. Taieb-Maimon Evaluation of an ontology-content based filtering method for a personalized newspaper Proceedings of the 2008 ACM conference on recommender systems, RecSys '08 2008 ACM New York, NY, USA 91 98
28. K. Musial, K. Juszczyszyn, and P. Kazienko Ontology-based recommendation in multimedia sharing systems System Science 34 2008 97 106
29. A. Neviarouskaya, H. Prendinger, and M. Ishizuka Sentiful: A lexicon for sentiment analysis IEEE Transactions on Affective Computing 2 1 2011 22 36
30. N. Pappas, and A. Popescu-Belis Sentiment analysis of user comments for one-class collaborative filtering over ted talks Proceedings of the 36th international ACM SIGIR conference on research and development in information retrieval, SIGIR '13 2013 ACM New York, NY, USA 773 776
31. Pazzani, M. J., & Billsus, D. (2007). Content-based recommendation systems. In The adaptive web lecture notes in computer science (Vol. 4321, pp. 325-341).
32. N. Ramakrishnan, B.J. Keller, B.J. Mirza, A.Y. Grama, and G. Karypis Privacy risks in recommender systems IEEE Internet Computing 5 2001 54 62
33. P. Resnick, N. Iacovou, M. Suchak, P. Bergstrom, and J. Riedl Grouplens: An open architecture for collaborative filtering of netnews 1994 ACM Press
34. F. Ricci, L. Rokach, B. Shapira, and P.B. Kantor Recommender systems handbook 2011 Springer
35. B. Sarwar, G. Karypis, J. Konstan, and J. Riedl Item-based collaborative filtering recommendation algorithms Proceedings of the 10th international conference on World Wide Web, WWW '01 2001 ACM New York, NY, USA 285 295
36. A.I. Schein, A. Popescul, L.H. Ungar, and D.M. Pennock Methods and metrics for cold-start recommendations Proceedings of the 25th annual international ACM SIGIR conference on research and development in information retrieval, SIGIR '02 2002 ACM New York, NY, USA 253 260
37. V.K. Singh, M. Mukherjee, and G.K. Mehta Combining collaborative filtering and sentiment classification for improved movie recommendations C. Sombattheera, A. Agarwal, S.K. Udgata, K. Lavangnananda, MIWAI Lecture notes in computer science Vol. 7080 2011 Springer 38 50
38. Sinha, R. R., & Swearingen, K. (2001). Comparing recommendations made by online systems and friends. In DELOS workshop: Personalisation and recommender systems in digital libraries.
39. J. Stan, F. Muhlenbach, C. Largeron, and et al. Recommender systems using social network analysis: Challenges and future trends Encyclopedia of Social Network Analysis and Mining 2014 1 22
40. X. Su, and T. Khoshgoftaar A survey of collaborative filtering techniques Advances in Artificial Intelligence 2009
41. S.-H. Yang, B. Long, A.J. Smola, H. Zha, and Z. Zheng Collaborative competitive filtering: Learning recommender using context of user choice Proceedings of the 34th international ACM SIGIR conference on research and development in information retrieval 2011 ACM 295 304
42. H. Yildirim, and M.S. Krishnamoorthy A random walk method for alleviating the sparsity problem in collaborative filtering Proceedings of the 2008 ACM conference on recommender systems, RecSys '08 2008 ACM New York, NY, USA 131 138
43. H.-F. Yu, C.-J. Hsieh, S. Si, and I.S. Dhillon Parallel matrix factorization for recommender systems Knowledge and Information Systems 2013 1 27
44. X. Zhou, Y. Xu, Y. Li, A. Josang, and C. Cox The state-of-the-art in personalized recommender systems for social networking Artificial Intelligence Review 37 2 2012 119 132
45. L. Zhuang, F. Jing, and X.-Y. Zhu Movie review mining and summarization Proceedings of the 15th ACM international conference on information and knowledge management, CIKM '06 2006 ACM New York, NY, USA 43 50