Paradigms for decentralized social filtering exploiting trust network structure

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3291, Issue , 2004, Pages 840-858

  Ziegler, Cai Nicolas ^a   Lausen, Georg ^a  

^a UNIVERSITY OF FREIBURG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

COLLABORATIVE FILTERING; DISTRIBUTED DATABASE SYSTEMS; INTERNET; MULTI AGENT SYSTEMS; RECOMMENDER SYSTEMS; SEMANTIC WEB; SEMANTICS;

CONTENT-BASED FILTERS; EMPIRICAL ANALYSIS; FORMING TECHNIQUES; PERSONAL PRODUCTS; SOCIAL FILTERING; TRUST METRICS; TRUST NETWORKS;

INFORMATION FILTERING;

EID: 35048903543     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30469-2_2     Document Type: Article

References (37)

1. ABDUL-RAHMAN, A., AND HAILES, S. A distributed trust model. In New Security Paradigms Workshop (Cumbria, UK, September 1997), pp. 48-60.
2. BARABÁSI, A.-L., AND ALBERT, R. Emergence of scaling in random networks. Science 286 (October 1999), 509-512.
3. BERSCHEID, E. Interpersonal attraction. In The Handbook of Social Psychology, D. Gilbert, S. Fiske, and G. Lindzey, Eds., 4th ed., vol. II. McGraw-Hill, New York, NY, USA, 1998.
4. BETH, T., BORCHERDING, M., AND KLEIN, B. Valuation of trust in open networks. In Proceedings of the 1994 European Symposium on Research in Computer Security (1994), pp. 3-18.
5. BREESE, J., HECKERMAN, D., AND KADIE, C. Empirical analysis of predictive algorithms for collaborative filtering. In Proceedings of the Fourteenth Annual Conference on Uncertainty in Artificial Intelligence (Madison, WI, USA, July 1998), Morgan Kaufmann, pp. 43-52.
6. ERDÖS, P., AND RÉNYI, A. On random graphs. Publications Mathematicae 5 (1959), 290297.
7. GOLBECK, J., PARSIA, B., AND HENDLER, J. Trust networks on the Semantic Web. In Proceedings of Cooperative Intelligent Agents (Helsinki, Finland, August 2003).
8. GOLDBERG, D., NICHOLS, D., OKI, B., AND TERRY, D. Using collaborative filtering to weave an information tapestry. Communications of the ACM 35,12 (1992), 61-70.
9. GUHA, R. Open rating systems. Tech. rep., Stanford Knowledge Systems Laboratory, Stanford, CA, USA, 2003.
10. HERLOCKER, J., KONSTAN, J., AND RIEDL, J. Explaining collaborative filtering recommendations. In Proceedings of the 2000 ACM Conference on Computer Supported Cooperative Work (Philadelphia, PA, USA, 2000), pp. 241-250.
11. HERLOCKER, J., KONSTAN, J., TERVEEN, L., AND RIEDL, J. Evaluating collaborative filtering recommender systems. ACM Transactions on Information Systems 22, 1 (2004), 5-53.
12. HUANG, Z., CHEN, H., AND ZENG, D. Applying associative retrieval techniques to alleviate the sparsity problem in collaborative filtering. ACM Transactions on Information Systems 22, 1(2004), 116-142.
13. HUANG, Z., CHUNG, W., ONG, T.-H., AND CHEN, H. A graph-based recommender system for digital library. In Proceedings of the Second ACM/IEEE-CS Joint Conference on Digital Libraries (Portland, OR, USA, 2002), ACM Press, pp. 65-73.
14. KAUTZ, H., SELMAN, B., AND SHAH, M. Referral Web: Combining social networks and collaborative filtering. Communications of the ACM 40,3 (March 1997), 63-65.
15. KONSTAN, J. Introduction to recommender systems: Algorithms and evaluation. ACM Transactions on Information Systems 22,1 (2004), 1-4.
16. LAM, S., AND RIEDL, J. Shilling recommender systems for fun and profit. In Proceedings of the 13th Conference on World Wide Web (New York, NY, USA, 2004), ACM Press, pp. 393-402.
17. LEVIEN, R., AND AIKEN, A. Attack-resistant trust metrics for public key certification. In Proceedings of the 7th USENIX Security Symposium (San Antonio, TX, USA, January 1998).
18. MARSH, S. Formalising Trust as a Computational Concept. PhD thesis, Department of Mathematics and Computer Science, University of Stirling, Stirling, UK, 1994.
19. MASSA, P., AND BHATTACHARJEE, B. Using trust in recommender systems: an experimental analysis. In Proceedings of the 2nd International Conference on Trust Management (Oxford, UK, March 2004), C. Jensen, S. Poslad, and T. Dimitrakos, Eds., vol. 2995 of LNCS, SpringerVerlag.
20. MIDDLETON, S., ALANI, H., SHADBOLT, N., AND DE ROURE, D. Exploiting synergy between ontologies and recommender systems. In Proceedings of the WWW2002 International Workshop on the Semantic Web (Maui, HW, USA, May 2002), vol. 55 of CEUR Workshop Proceedings.
21. MONTANER, M. Collaborative Recommender Agents Based on Case-based Reasoning and Trust. PhD thesis, Universitat de Girona, Girona, Spain, 2003.
22. Mui, L., SZOLOVITS, P., AND ANG, C. Collaborative sanctioning: Applications in restaurant recommendations based on reputation. In Proceedings of the Fifth International Conference on Autonomous Agents (Montreal, Canada, 2001), ACM Press, pp. 118-119.
23. OLSSON, T. Decentralized social filtering based on trust. In Working Notes of the AAAI-98 Recommender Systems Workshop (Madison, WI, USA, 1998).
24. O'MAHONY, M., HURLEY, N., KUSHMERICK, N., AND SILVESTRE, G. Collaborative recommendation: A robustness analysis. ACM Transactions on Internet Technology 4, 3 (August 2004).
25. PAGE, L., BRIN, S., MOTWANI, R., AND WINOGRAD.T. The pagerank citation ranking: Bringing order to the Web. Tech. rep., Stanford Digital Library Technologies Project, 1998.
26. PAZZANI, M. A framework for collaborative, content-based and demographic filtering. Artificial Intelligence Revie\v 13,5-6 (1999), 393-408.
27. QUILLIAN, R. Semantic memory. In Semantic Information Processing, M. Minsky, Ed. MIT Press, Boston, MA, USA, 1968, pp. 227-270.
28. SARWAR, B., KARYPIS, G., KONSTAN, J., AND RIEDL, J. Analysis of recommendation algorithms for e-commerce. In Proceedings of the 2nd ACM Conference on Electronic Commerce (Minneapolis, MN, USA, 2000), ACM Press, pp. 158-167.
29. SARWAR, B., KARYPIS, G., KONSTAN, J., ANDRIEDL, J. Application of dimensionality reduction in recommender systems - a case study. In ACM WebKDD Workshop (Boston, MA, USA, August 2000).
30. SARWAR, B., KARYPIS, G., KONSTAN, J., AND RIEDL, J. Item-based collaborative filtering recommendation algorithms. In Proceedings of the 10th International World Wide Web Conference (Hong Kong, China, May 2001).
31. SHARDANAND, U., AND MAES, P. Social information filtering: Algorithms for automating "word of mouth". In Proceedings of the ACM CHI'95 Conference on Human Factors in Computing Systems (1995), vol. 1, pp. 210-217.
32. SINHA, R., AND SWEARINGEN, K. Comparing recommendations made by online systems and friends. In Proceedings of the DELOS-NSF Workshop on Personalization and Recommender Systems in Digital Libraries (Dublin, Ireland, June 2001).
33. WATTS, D., AND STROGATZ, S. Collective dynamics of "small- world" networks. Nature 393 (June 1998), 44CM42.
34. ZIEGLER, C.-N., AND LAUSEN, G. Analyzing correlation between trust and user similarity in online communities. In Proceedings of the 2nd International Conference on Trust Management (Oxford, UK, March 2004), C. Jensen, S. Poslad, and T. Dimitrakos, Eds., vol. 2995 of LNCS, Springer-Verlag, pp. 251-265.
35. ZIEGLER, C.-N., AND LAUSEN, G. Spreading activation models for trust propagation. In Proceedings of the IEEE International Conference on e-Technology, e-Commerce, and eService (Taipei, Taiwan, March 2004), IEEE Computer Society Press.
36. ZIEGLER, C.-N., LAUSEN, G., AND SCHMIDT-THIEME, L. Taxonomy-driven computation of product recommendations. In Proceedings of the 2004 ACM CIKM Conference on Information and Knowledge Management (Washington D.C., USA, November 2004), ACM Press. To appear.
37. ZIEGLER, C.-N., SCHMIDT-THIEME, L., AND LAUSEN, G. Exploiting semantic product descriptions for recommender systems. In Proceedings of the 2nd ACM SIGIR Semantic Web and Information Retrieval Workshop 2004 (Sheffield, UK, July 2004).