Trust based recommender system using ant colony for trust computation

Expert Systems with Applications

Volumn 39, Issue 1, 2012, Pages 1183-1190

  Bedi, Punam ^a   Sharma, Ravish ^a  

^a UNIVERSITY OF DELHI   (India)

Author keywords

Ant colony; Collaborative Filtering; Pheromone updating; Recommender system; Trust

Indexed keywords

AGGREGATED DYNAMICS; ANT ALGORITHMS; ANT COLONIES; COLD START; COLLABORATIVE FILTERING; DATA SETS; DATA SPARSITY; MATRIX; PHEROMONE UPDATING; TRUST; UPDATING STRATEGY;

FEEDBACK; RATING; TAR;

RECOMMENDER SYSTEMS;

EID: 81855164833     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.07.124     Document Type: Article

References (37)

1. Basu, C.; Hirsh, H.; & Cohen, W.W. (1998). Recommendation as classification: using social and content-based information in recommendation, in Proceedings of the Fifteenth National Conference on Artificial Intelligence (AAAI-98). Madison, Wisconsin, AAAI Press, pp. 714-720.
2. Bedi, P.; Sharma, R.; & Kaur, H. (2009). Recommender System based on collaborative behavior of ants, Journal of Artificial Intelligence 2009, Asian Network for Scientific Information, ISSN 1994-5450, pp. 40-55.
3. Billsus, D. &. Pazzani, M. J. (1998). Learning collaborative information filters, in Proceedings of the Fifteenth International Conference on Machine Learning, Madison, Morgan Kaufman San Francisco, CA, pp. 46-54.
4. Blum, C. (2005). Ant Colony Optimization: Introduction and recent trends. Physics of Life Reviews Journal, Elsevier, 2(4), pp. 353-373. doi:10.1016/j.plrev.2005.10.001.
5. Bonabeau, E.; Dorigo, M. & Theraulaz, G. (1999). Swarm Intelligence: From natural to artificial systems. Santa Fe Institute Studies in the Sciences of Complexity, Oxford University Press (New York). ISBN: 0-19-513158-4, Kindle Edition.
6. R. Burke Hybrid recommender systems: Survey and experiments User Modeling and User-Adapted Interaction Journal 12 4 2002 331 370 10.1023/A:1008286413827
7. M. Dorigo, V. Maniezzo, and A. Colorni Ant System: Optimization by a colony of cooperating agents IEEE Transactions on Systems, Man, and Cybernetics-Part B 26 1 1996 29 41
8. M. Dorigo, and T. Stutzle Ant Colony Optimization 2004 MIT Press Cambridge, MA ISBN 0-262-04219-3
9. D. Goldberg, D. Nicholas, B.M. Oki, and D. Terry Using collaborative filtering to weave an information tapestry Communications of the ACM 35 12 1992 61 70
10. K. Goldberg, T. Roeder, D. Gupta, and C. Perkins Eigentaste: A constant time collaborative filtering algorithm Information Retrieval Journal 4 2 2001 133 151 doi:10.1.1.37.8212
11. J.L. Herlocker, J.A. Konstan, L.G. Terveen, and J. Reidl Evaluating collaborative filtering recommender systems ACM Transactions on Information Systems 22 1 2004 5 53 10.1145/963770.963772
12. Hill, W.; Stead, L.; Rosenstein, M. & Furnas, G. (1995). Recommending and evaluating choices in a virtual community of use, in Proceedings of the SIGCHI conference on Human factors in computing systems, Denver, Colorado, United States, ACM Press/Addison-Wesley Publishing Co.; pp. 194-201.
13. J.A. Konstan, B.N. Miller, D. Maltz, J.L. Herlocker, L.R. Gordon, and J. Riedl GroupLens: Applying collaborative filtering to UseNet news Communications of the ACM 40 3 1997 77 87 http://doi.acm.org/10.1145/245108.245126
14. Lorenzi, F.; Santos, D.S.dos & Bazzan, A.L.C. (2005). Case-based recommender systems inspired by social insects, in Proceedings of XXV Congresso da Sociedate Braseilera de Computacao, Sao Leopolda, pp. 752-760.
15. Massa, P.; & Avesani, P. (2004). Trust-aware collaborative filtering for recommender systems, in Proceedings of International Conference on Cooperative Information Systems, Agia Napa, Cyprus, pp. 492-508.
16. Massa, P.; & Avesani, P. (2007). Trust-aware recommender systems, Proceedings of RecSys, ACM, New York, NY, USA, pp. 17-24.
17. Massa, P. & Bhattacharjee, B. (2004). Using trust in recommender systems: an experimental analysis. in Proceedings of 2nd International Conference on trust management, Oxford, England, pp. 221-235.
18. P. Massa, and P. Avesani Trust metrics in recommender systems Computing with Social Trust 2009 Springer London pp. 259-285, doi:10.1007/978-1-84800-356- 9
19. O'Donovan, J.; & Smith, B. (2005). Trust in recommender systems, in Proceedings of the 10th International Conference on Intelligent User Interfaces (IUI'05), San Diego, California, USA, pp. 167-174.
20. Resnick, P.; Lakovou, N.; Sushak, M.; Bergstrom, P. & Riedl, J. (1994). GroupLens: An open architecture for collaborative filtering of Netnews, in Proceedings of the 1994 ACM conference on Computer supported cooperative work, Chapel Hill, North Carolina, United States, ACM Press, pp. 175-186.
21. P. Resnick, and H.R. Varian Recommender systems Communications of the ACM 40 3 1997 56 58 10.1145/245108.245121
22. E. Rich User modeling via stereotypes Cognitive Science Journal, Elsevier 3 4 1979 329 354 10.1207/s15516709cog0304-3
23. S. Ries, J. Kangasharju, and M. Muhlhauser A Classification of trust systems, LNCS 4277/2006 2006 Springer Berlin pp. 894-903
24. Sarwar, B. M.; Karypis, G.; Konstan, J. A. & Reidl, J. (2000a). Analysis of recommendation algorithms for E-Commerce. in Proceedings of the 2nd ACM conference on electronic commerce (EC'00), Minneapolis, Minnesota, United States, pp. 158-167. doi:10.1145/352871.352887.
25. Sarwar, B. M.; Karypis, G.; Konstan, J. A. & Reidl, J. (2000b). Application of dimensionality reduction in recommender system - A case study. ACM WebKDD 2000 Web mining for E-commerce workshop.
26. Sarwar, B. M.; Karypis, G.; Konstan, J. A. & Riedl, J. (2001). Item-based collaborative filtering recommendation algorithms, in Proceedings of the 10th international conference on World Wide Web, Hong Kong, ACM Press, pp. 285-295.
27. Schafer, J. B.; Konstan, J. A.; & Reidl, J. (1999). Recommender systems in E-Commerce, in Proceedings of the first ACM conference on electronic commerce 99, Denver, United States, ACM Press, pp.158-166.
28. J.B. Schafer, D. Frankowski, J. Herlocker, and S. Sen Collaborative filtering recommender systems The Adaptive Web LNCS 4321/2007 2007 Springer Berlin/Heidelberg pp. 291-324ISBN: 978-3-540-72078-2
29. Shardanand, U.; & Maes, P. (1995). Social information filtering: Algorithms for automating 'Word of Mouth', in Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Denver, Colorado, United States, pp. 210-217.
30. Sharma, R.; Singh, M.; Makkar, R.; Kaur, H.; & Bedi, P. (2007). Ant Recommender: Recommender system inspired by ant colony, in Proceedings of International Conference on Advances in Computer Vision and Information Technology (ACVIT-07), pp. 361-369.
31. J. Sobecki Web-based system user interface hybrid recommendation using ant colony metaphor LNCS 4694/2008 2007 Springer Berlin/Heidelberg pp.1033-1040, ISBN: 978-3-540-74828-1
32. L. Terveen, W. Hill, B. Amento, D. McDonald, and J. Creter PHOAKS: A system for sharing recommendations Communications of the ACM 40 3 1997 59 62 http://doi.acm.org/10.1145/245108.245122
33. L. Terveen, and W. Hill Human-Computer collaboration in recommender systems Human computer interaction in the new millenium 2001 Addision-Wesley New York 487 509
34. Ujjin, S.; & Bentley, P.J. (2003). Particle Swarm Optimization recommender system, in Proceedings of the 2003 IEEE Swarm Intelligence Symposium-SIS'03, pp. 124-131. doi:10.1109/SIS.2003.1202257.
35. Wei, Z. (2007). A novel trust model based on recommendation for E-Commerce, in International Conference on Service Systems and Service Management 2007, Chengdu, pp. 1-4, ISBN: 1-4244-0885-7, doi:10.1109/ICSSSM.2007. 4280307.
36. W. Yuan, D. Guan, Y.K. Lee, S. Lee, and S.J. Hur Improved trust-aware recommender system using small-worldness of trust networks Knowledge-Based Systems 23 3 2010 232 238 10.1016/j.knosys.2009.12.004
37. C.N. Ziegler, and G.J. Nilcolas Investigating correlations of trust and interest similarity- Do birds of a feather really flock together? Decision Support Systems 43 2 2007 460 475