Personalized recommendation combining user interest and social circle

IEEE Transactions on Knowledge and Data Engineering

Volumn 26, Issue 7, 2014, Pages 1763-1777

  Qian, Xueming ^a   Feng, He ^a   Zhao, Guoshuai ^a   Mei, Tao ^b  

^a XI'AN JIAOTONG UNIVERSITY   (China)

^b MICROSOFT RESEARCH   (United States)

Author keywords

Interpersonal influence; personal interest; recommender system; social networks

Indexed keywords

SOCIAL NETWORKING (ONLINE);

INTERPERSONAL INFLUENCES; MODEL-BASED OPC; PERSONAL INTEREST; PERSONALIZED RECOMMENDATION; PROBABILISTIC MATRIX FACTORIZATIONS; SOCIAL CIRCLES; SPARSITY PROBLEMS; USER INTERESTS;

RECOMMENDER SYSTEMS;

EID: 84904421842     PISSN: 10414347     EISSN: None     Source Type: Journal    
DOI: 10.1109/TKDE.2013.168     Document Type: Article

References (64)

1. X.-W. Yang, H. Steck, and Y. Liu, "Circle-based recommendation in online social networks, " in Proc. 18th ACM SIGKDD Int. Conf. KDD, New York, NY, USA, Aug. 2012, pp. 1267-1275.
2. M. Jiang et al., "Social contextual recommendation, " in Proc. 21st ACM Int. CIKM, New York, NY, USA, 2012, pp. 45-54.
3. M. Jamali and M. Ester, "A matrix factorization technique with trust propagation for recommendation in social networks, " in Proc. ACM Conf. RecSys, Barcelona, Spain, 2010, pp. 135-142.
4. R. Salakhutdinov and A. Mnih, "Probabilistic matrix factorization, " in Proc. NIPS, 2008.
5. Y. Koren, R. Bell, and C. Volinsky, "Matrix factorization techniques for recommender systems, " Computer, vol. 42, no. 8, pp. 30-37, Aug. 2009.
6. M. E. Tipping and C. M. Bishop, "Probabilistic principal component analysis, " J. Roy. Statist. Soc., Ser. B, vol. 61, no. 3, pp. 611-622, 1999.
7. G. Adomavicius and A. Tuzhilin, "Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions, " IEEE Trans. Knowl. Data Eng., vol. 17, no. 6, pp. 734-749, Jun. 2005. (Pubitemid 40860454)
8. R. Bell, Y. Koren, and C. Volinsky, "Modeling relationships at multiple scales to improve accuracy of larg e recommender systems, " in Proc. 13th ACM SIGKDD Int. Conf. KDD, San Jose, CA, USA 2007, pp. 95-104. (Pubitemid 350229196)
9. B. Sarwar, G. Karypis, J. Konstan, and J. Reidl, "Item-based collaborative filtering recommendation algorithms, " in Proc. 10th Int. Conf. WWW, Hong Kong, China, 2001, pp. 285-295.
10. M. Jahrer, A. Toscher, and R. Legenstein, "Combining predictions for accurate recommender systems, " in Proc. 16th ACM SIGKDD Int. Conf. KDD, Washington, DC, USA, 2010, pp. 693-702.
11. Y. Zhang, B. Cao, and D. Y. Yeung, "Multi-domain collaborative filtering, " in Proc. 26th Conf. UAI, 2010.
12. G.-R. Xue et al., "Scalable collaborative filtering using clusterbased smoothing, " in Proc. 28th Annu. Int. ACM SIGIR Conf. Research Development Information Retrieval, Salvador, Brazil, 2005, pp. 114-121.
13. H. Ma, I. King, and M. R. Lyu, "Learning to recommend with social trust ensemble, " in Proc. 32nd Int. ACM SIGIR Conf. Research Development Information Retrieval, Boston, MA, USA, 2009, pp. 203-210.
14. M. Jamali and M. Ester, "Trustwalker: A random walk model for combining trust-based and item-based recommendation, " in Proc. 15th ACM SIGKDD Int. Conf. Knowledge Discovery Data Mining, Paris, France, pp. 397-406, 2009.
15. X. Yang, Y. Guo, and Y. Liu, "Bayesian-inference based recommendation in online social networks, " in Proc. 30th Annu. IEEE INFOCOM, Shanghai, China, 2011, pp. 551-555.
16. J. Huang, X. Cheng, J. Guo, H. Shen, and K. Yang, "Social recommendation with interpersonal influence, " in Proc. 19th ECAI, Amsterdam, Netherlands, pp. 601-606, 2010.
17. H. Ma, H. Yang, M. R. Lyu, and I. King, "SoRec: Social recommendation using probabilistic matrix factorization, " in Proc. 17th ACM CIKM, Napa Valley, CA, USA, 2008, pp. 931-940.
18. H. Ma, D. Zhou, C. Liu, M. R. Lyu, and I. King, "Recommender systems with social regularization, " in Proc. ACM Int. Conf. WSDM, Hong Kong, China, 2011, pp. 287-296.
19. F. Liu and H. Lee, "Use of social network information to enhance collaborative filtering performance, " Expert Syst. Appl., vol. 37, no. 7, pp. 4772-4778, Jul. 2010.
20. P. Massa and P. Avesani, "Trust-aware recommender systems, " in Proc. 2007 ACM Conf. Recommender Systems, Minneapolis, MN, USA, pp. 17-24.
21. M. Richardson and P. Domingos, "Mining knowledge-sharing sites for viral marketing, " in Proc. 8th ACM SIGKDD Int. Conf. KDD, Edmonton, AB, Canada, 2002.
22. R. Keshavan, A. Montanari, and S. Oh, "Matrix completion from noisy entries, " J. Mach. Learn. Res., vol. 11, pp. 2057-2078, Jul. 2010.
23. Y. Koren, "Factorization meets the neighborhood: A multifaceted collaborative filtering model, " in Proc. 14th ACM SIGKDD Int. Conf. KDD, Las Vegas, NV, USA, 2008, pp. 426-434.
24. Y. Koren, "Collaborative filtering with temporal dynamics, " in Proc. 14th ACM SIGKDD Int. Conf. KDD, Paris, France, 2009, pp. 447-456.
25. A. Paterek, "Improving regularized singular value decomposition for collaborative filtering, " in Proc. KDDCup, San Jose, CA, USA, 2007.
26. M. Balabanovic and Y. Shoham, "Fab: Content-based, collaborative recommendation, " Commun. ACM, vol. 40, no. 3, pp. 66-72, Mar. 1997.
27. J. L. Herlocker, J. A. Konstan, L. G. Terveen, and J. T. Riedl, "Evaluating collaborative filtering recommender systems, " ACM Trans. Inform. Syst., vol. 22, no. 1. pp. 5-53, Jan. 2004.
28. J.Wang, A. P. de Vries, andM. J. T. Reinders, "Unifying user-based and item-based collaborative filtering approaches by similarity fusion, " in Proc. 29th Annu. Int. ACM SIGIR Conf. Research Development Information Retrieval, Seattle, WA, USA, 2006.
29. N. N. Liu, M. Zhao, and Q. Yang, "Probabilistic latent preference analysis for collaborative filtering, " in Proc. 18th ACM CIKM, Hong Kong, China, 2009, pp. 759-766.
30. Q. Liu, E. Chen, H. Xiong, C. Ding, and J. Chen, "Enhancing collaborative filtering by user interest expansion via personalized ranking, " IEEE Trans. Syst., Man, Cybern. B, vol. 42, no. 1, pp. 218-233, Feb. 2012.
31. Y. Chen and J. Canny, "Recommending ephemeral items at web scale, " in Proc. 34th Int. ACM SIGIR Conf. Research Development Information Retrieval, New York, NY, USA, 2011, pp. 1013-1022.
32. M. Harvey, M. J. Carman, I. Ruthven, and F. Crestani, "Bayesian latent variable models for collaborative item rating prediction, " in Proc. 20th ACM Int. CIKM, 2011, Glasgow, U.K. pp. 699-708.
33. L. Yu, R. Pan, and Z. Li, "Adaptive social similarities for recommender systems, " in Proc. 5th ACM Conf. RecSys, New York, NY, USA, 2011.
34. P. Bedi, H. Kaur, and S. Marwaha, "Trust based recommender system for semantic web, " in Proc. 20th IJCAI, 2007, pp. 2677-2682.
35. J. O'Donovan and B. Smyth, "Trust in recommender systems, " in Proc. 10th Int. Conf. IUI, San Diego, CA, USA, 2005, pp. 167-174.
36. J. Leskovec, A. Singh, and J. Kleinberg, "Patterns of influence in a recommendation network, " in Lecture Notes in Computer Science., Berlin, Germany: Springer, 2006, pp. 380-389. (Pubitemid 44019437)
37. P. Cui et al., "Who should share what? Item-level social influence prediction for users and posts ranking, " in Proc. 34th Int. ACM SIGIR Conf. Research Development Information Retrieval, Beijing, China, 2011, pp. 185-194.
38. R. Bond and P. B. Smith, "Culture and conformity: A metaanalysis of studies using Asch's (1952b, 1956) line judgment task, " Psychol. Bull., vol. 119, no. 1, pp. 111-137, Jan. 1996. (Pubitemid 126021388)
39. H. R. Kim and P. K. Chan, "Learning implicit user interest hierarchy for context in personalization, " in Proc. Int. Conf. Intelligent User Interface, New York, NY, USA, 2003.
40. M. Grcar, D. Mladenic, and M. Grobelnik, "User profiling for interest-focused browsing history, " in Proc. UserSWeb, 2005.
41. X. Zhou et al., "Utilizing search intent in topic ontology-based user profile for web mining, " in Proc. IEEE Int. Conf. Web Intelligence, Hong Kong, China, 2006.
42. O. Phelan, K. McCarthy, and B. Smyth, "Using twitter to recommend realtime topical news, " in Proc. 3rd ACM Conf. Recommender Systems, Hong Kong, China, 2009, pp. 385-388.
43. J. Chen, R. Nairn, L. Nelson, M. Bernstein, and E. Chi, "Short and tweet: Experiments on recommending content from information streams, " in Proc. 28th Int. Conf. Human Factors Computing Systems, Atlanta, GA, USA, 2010, pp. 1185-1194.
44. R. Sinha and K. Swearingen, "Comparing recommendations made by online systems and friends, " in Proc. DELOS Workshop Personalisation Recommender Systems Digital Libraries, Dublin, Ireland, 2001.
45. A. Java, X. Song, T. Finin, and B. Tseng, "Why we twitter: Understanding microblogging usage and communities, " in Proc. 9th WebKDD, 1st SNA-KDD, San Jose, CA, USA, 2007, pp. 56-65. (Pubitemid 351665610)
46. A. Rahman and S. Hailes, "Supporting trust in virtual communities, " in Proc. 33rd Int. Conf. System Sciences, Maui, HW, USA, 2000.
47. Q. Yuan, L. Chen, and S. Zhao, "Factorization vs. regularization: Fusing heterogeneous social relationships in top-N recommendation, " in Proc. 5th ACM Conf. Recommender Systems, Chicago, IL, USA, 2011.
48. M. Ou et al., "Comparing apples to oranges: A scalable solution with heterogeneous hashing, " in Proc. 19th ACM SIGKDD, Chicago, IL, USA, 2013.
49. P. Cui, F. Wang, S. Liu, M. Ou, and S. Yang, "Who should share what? Item-level social influence prediction for users and posts ranking, " in Proc. Int. ACM SIGIR Conf., Beijing, China, 2011.
50. P. Cui, F. Wang, and S. Yang, "Item-level social influence prediction with probabilistic hybrid factor matrix factorization, " in Proc. 25th AAAI Conf. Artificial Intelligence, 2011.
51. M. Jiang et al., "Social recommendation across multiple relational domains, " in Proc. 21st ACM Int. CIKM, Maui, HI, USA, 2012.
52. H. Feng and X. Qian, "Recommendation via user's personality and social contextual, " in Proc. 22nd ACM CIKM, New York, NY, USA, 2013.
53. J. Shen, H. Pang, M. Wang, and S. Yan, "Modeling concept dynamics for large scale music search, " in Proc. 35th Int. ACM SIGIR Conf. Research Development Information Retrieval, New York, NY, USA, 2012, pp. 455-464.
54. J. Shen and Z. Cheng, "Personalized video similarity measure, " Multimedia Syst., vol. 17, no. 5, pp. 421-433, 2011.
55. J. Shen, D. Tao, and X. Li, "Modality mixture projections for semantic video event detection, " IEEE Trans. Circuits. Syst. Video Technol., vol. 18, no. 11, pp. 1587-1596, Nov. 2008.
56. H. Feng and X. Qian, "Mining user-contributed photos for personalized product recommendation, " Neurocomputing, vol. 129, pp. 409-420, 2014.
57. H. Feng and X. Qian, "Recommend social network users favorite brands, " in Proc. 14th Pacific-Rim Conf. Multimedia, Nanjing, China, 2013.
58. S. Jiang, X. Qian, T. Mei, K. Lan, and L. Zhang, "Mobile multimedia travelogue generation by exploring geo-locations and image tags, " in Proc. ISCAS, Beijing, China, 2013, pp. 881-884.
59. S. Jiang, X. Qian, Y. Xue, F. Li, and X. Hou, "Generating representative images for landmark by discovering high frequency shooting locations from community-contributed photos, " in Proc. IEEE ICME, San Jose, CA, USA, 2013.
60. J. Shen, W. Meng, S. Yan, H. Pang, and X. Hua, "Effective music tagging through advanced statistical modeling, " in Proc. 33rd Int. ACM SIGIR, Geneva, Switzerland 2010, 635-642.
61. X. Qian, X. Liu, C. Zheng, Y. Du, and X. Hou, "Tagging photos using users' vocabularies, " Neurocomputing, vol. 111, pp. 144-153, Jul. 2013.
62. J. Li, X. Qian, Y. Tang, L. Yang, and C. Liu, "GPS estimation from users' photos, " in Proc. MMM, Huangshan, China, 2013, pp. 118-129.
63. J. Li, X. Qian, Y. Tang, L. Yang, and T. Mei, "GPS estimation for places of interest from social users' uploaded photos, " IEEE Trans. Multimedia, vol. 15, no. 8, pp. 2058-2071, Dec. 2014.
64. P. Cremonesi, Y. Koren, and R. Turrin, "Performance of recommender algorithms on top-n recommendation tasks, " in Proc. 4th ACM Conf. Recommender Systems, New York, NY, USA, 39-46.