A live comparison of methods for personalized article recommendation at Forbes.com

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

Volumn 7524 LNAI, Issue PART 2, 2012, Pages 51-66

  Kirshenbaum, Evan ^a   Forman, George ^a   Dugan, Michael ^b  

^a HEWLETT PACKARD LABORATORIES   (United States)

^b Forbes Media   (United States)

Author keywords

collaborative filtering; content analysis; live user trial; personalization; recommender systems

Indexed keywords

CLICK-THROUGH RATE; COLLABORATIVE FILTERING; COMPARISON OF METHODS; CONTENT ANALYSIS; CONTENT-BASED METHODS; HISTORICAL DATA; LIVE USER TRIAL; PERSONALIZATIONS; RECOMMENDATION METHODS; REMAPPING; SECOND PHASE; USER SESSIONS;

LEARNING SYSTEMS; RECOMMENDER SYSTEMS;

WEBSITES;

EID: 84866850854     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33486-3_4     Document Type: Conference Paper

References (24)

1. Adomavicius, G., Tuzhilin, A.: Toward the next generation of recommender systems. IEEE Trans. on Knowl. and Data Eng. 17(6), 734-749 (2005)
2. Billsus, D., Pazzani, M.J.: Adaptive News Access. In: Brusilovsky, P., Kobsa, A., Nejdl, W. (eds.) Adaptive Web 2007. LNCS, vol. 4321, pp. 550-570. Springer, Heidelberg (2007)
3. Chen, J., Nairn, R., Nelson, L., Bernstein, M., Chi, E.: Short and tweet: experiments on recommending content from information streams. In: CHI 2010 (2010)
4. Cremonesi, P., Koren, Y., Turrin, R.: Performance of recommender algorithms on top-n recommendation tasks. In: RecSys 2010, pp. 39-46 (2010)
5. Das, A.S., Datar, M., Garg, A., Rajaram, S.: Google news personalization: scalable online collaborative filtering. In: WWW 2007, pp. 271-280 (2007)
6. de Wit, J.: Evaluating recommender systems: an evaluation framework to predict user satisfaction for recommender systems in an electronic programme guide context. Master's thesis, University of Twente, The Netherlands (May 2008)
7. Ge, M., Delgado-Battenfeld, C., Jannach, D.: Beyond accuracy: evaluating recommender systems by coverage and serendipity. In: RecSys 2010, p. 257 (2010)
8. Herlocker, J., Konstan, J., Terveen, L., Riedl, J.: Evaluating collaborative filtering recommender systems. ACM Trans. Inf. Syst. 22(1), 5-53 (2004)
9. Hurley, N., Zhang, M.: Novelty and diversity in top-N recommendation - analysis and evaluation. ACM Trans. Internet Technol. 14, 14:1-14:30 (2011)
10. Jahrer, M., Töscher, A., Legenstein, R.: Combining predictions for accurate recommender systems. In: KDD 2010, pp. 693-702 (2010)
11. Katz, G., Ofek, N., Shapira, B., Rokach, L., Shani, G.: Using Wikipedia to boost collaborative filtering techniques. In: RecSys 2011, pp. 285-288 (2011)
12. Kirshenbaum, E.: A Wikipedia-based concept extractor for unstructured text. Technical report, HP Labs (in preparation)
13. Kittur, A., Chi, E.H., Suh, B.: Crowdsourcing user studies with mechanical turk. In: CHI 2008, pp. 453-456 (2008)
14. Koenigstein, N., Dror, G., Koren, Y.: Yahoo! music recommendations: modeling music ratings with temporal dynamics and item taxonomy. In: RecSys 2011 (2011)
15. Koren, Y.: Factorization meets the neighborhood: a multifaceted collaborative filtering model. In: KDD 2008, pp. 426-434 (2008)
16. Lerman, K., Hogg, T.: Using a model of social dynamics to predict popularity of news. In: WWW 2010, pp. 621-630 (2010)
17. Liu, J., Dolan, P., Pedersen, E.R.: Personalized news recommendation based on click behavior. In: IUI 2010, pp. 31-40 (2010)
18. Maidel, V., Shoval, P., Shapira, B., Taieb-Maimon, M.: Evaluation of an ontology-content based filtering method for a personalized newspaper. In: RecSys 2008 (2008)
19. Pan, R., Zhou, Y., Cao, B., Liu, N.N., Lukose, R., Scholz, M., Yang, Q.: One-class collaborative filtering. In: ICDM 2008, pp. 502-511 (2008)
20. Pu, P., Chen, L., Hu, R.: A user-centric evaluation framework for recommender systems. In: RecSys 2011, pp. 157-164 (2011)
21. Sandholm, T., Ung, H., Aperjis, C., Huberman, B.A.: Global budgets for local recommendations. In: RecSys 2010, pp. 13-20 (2010)
22. Steck, H.: Item popularity and recommendation accuracy. In: RecSys 2011 (2011)
23. Su, X., Khoshgoftaar, T.M.: A survey of collaborative filtering techniques. In: Advances in Artificial Intelligence, pp. 4:2-4:2 (January 2009)
24. Zheng, H., Wang, D., Zhang, Q., Li, H., Yang, T.: Do clicks measure recommendation relevancy? an empirical user study. In: RecSys 2010, pp. 249-252 (2010)