The Community for Technology Leaders
RSS Icon
Subscribe
Issue No.04 - July/August (2009 vol.11)
pp: 38-44
Nanda Kumar , City University of New York
Bracha Shapira , Deutsche Telekom Laboratories at Ben-Gurion University
ABSTRACT
Recommender systems play a significant role in reducing information overload for people visiting online sites, but their accuracy could be improved by using data from online social networks and electronic communication tools.
INDEX TERMS
Recommendation systems, Design Science, advice taking, social computing, IT Professional.
CITATION
Nanda Kumar, Bracha Shapira, "Improving Social Recommender Systems", IT Professional, vol.11, no. 4, pp. 38-44, July/August 2009, doi:10.1109/MITP.2009.76
REFERENCES
1. O. Arazy and C. Woo, "Enhancing Information Retrieval through Statistical Natural Language Processing: A Study of Collocation Indexing," Management Information Systems Quarterly, vol. 31, no. 3, 2007, pp. 525–546.
2. M. Gilly et al., "A Dyadic Study of Interpersonal Information Search," J. Academy of Marketing Science, vol. 26, no. 2, 1998, pp. 83–100.
3. U. Shardanand and P. Maes, "Social Information Filtering: Algorithms for Automating Word of Mouth," Proc. Conf. Human Factors in Computing Systems, ACM Press, 1995, pp. 210–217.
4. J. Herlocker et al., "Evaluating Collaborative Filtering Recommender Systems," ACM Trans. Information Systems, vol. 22, no. 1, 2004, pp. 5–53.
5. D. Levin and R. Cross, "The Strength of Weak Ties You Can Trust: The Mediating Role of Trust in Effective Knowledge Transfer," Management Science, vol. 40, no. 11, 2004, pp. 1477–1490.
6. P. Marsden and K. Campbell, "Measuring Tie Strength," Social Force, vol. 63, no. 2, 1984, pp. 482–501.
7. D. Smith, S. Menon, and K. Sivakumar, "Online Peer and Editorial Recommendations, Trust, and Choice in Virtual Markets," J. Interactive Marketing, vol. 19, no. 3, 2005, pp. 15–37.
8. D. Goldberg et al., "Using Collaborative Filtering to Weave an Information Tapestry," Comm. ACM, vol. 35, no. 12, 1992, pp. 61–70.
9. J. Golbeck and J. Hendler, "Filmtrust: Movie Recommendations Using Trust in Web-Based Social Networks," Proc. Consumer Comm. and Networking Conf., IEEE CS Press, 2006, pp. 282–286.
10. P. Massa and P. Avesani, "Trust-Aware Collaborative Filtering for Recommender Systems," LNCS, vol. 3290, Springer, 2004, pp. 492–508.
11. J. O'Donovan and B. Smyth, "Trust in Recommender Systems," Proc. 10th Int'l Conf. Intelligent User Interfaces, ACM Press, 2005, pp. 167–174.
12. K. Goldberg et al., "Eigentaste: A Constant Time Collaborative Filtering Algorithm," Information Retrieval, vol. 4, no. 2, 2001, pp. 133–151.
13. D.A. Maltz and K. Ehlrich, "Pointing the Way: Active Collaborative Filtering," Proc. Computer–Human Interaction, ACM Press, 1995, pp. 202–209.
15 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool