How to count thumb-ups and thumb-downs?
Zhang, Dell and Mao, R. and Li, H. and Mao, J. (2011) How to count thumb-ups and thumb-downs? In: Ma, W.-Y. and Nie, J.-Y. and Baeza-Yates, R.A. and Chua, T.-S. and Croft, W.B. (eds.) Proceedings of the 34th international ACM SIGIR conference on Research and development in Information - SIGIR '11. New York, U.S.: ACM Press, pp. 1223-1224. ISBN 9781450307574.
Abstract
It is a common practice among Web 2.0 services to allow users to rate items on their sites. In this paper, we first point out the flaws of the popular methods for user-rating based ranking of items, and then argue that two well-known Information Retrieval (IR) techniques, namely the Probability Ranking Principle and Statistical Language Modelling, provide a simple but effective solution to this problem.
Metadata
| Item Type: | Book Section |
|---|---|
| Additional Information: | Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2011, Beijing, China, July 25-29, 2011 |
| School: | Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences |
| Research Centres and Institutes: | Birkbeck Knowledge Lab |
| Depositing User: | Administrator |
| Date Deposited: | 30 May 2013 11:15 |
| Last Modified: | 09 Aug 2023 12:33 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/7090 |
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