Funder
Secretaría de Estado de Investigación, Desarrollo e Innovación
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Information Systems
Reference38 articles.
1. Armstrong, T. G., Moffat, A., Webber, W., & Zobel, J. (2009a). Has ad-hoc retrieval improved since 1994? In Proceedings of the 32nd ACM conference on Research and development in Information Retrieval, SIGIR’09. ACM, pp. 692–693.
2. Armstrong, T. G., Moffat, A., Webber, W., & Zobel, J. (2009b). Improvements that don’t add up: Ad hoc retrieval results since 1998. In Proceedings of the 18th ACM conference on Information and knowledge management, CIKM’09. ACM, pp. 601–610.
3. Baeza-Yates, R., & Ribeiro-Neto, B. (2011). Modern information retrieval: The concepts and technology behind search (2nd ed.) (ACM Press Books). Addison-Wesley Professional.
4. Barbieri, N., Costa, G., Manco, G., & Ortale, R. (2011). Modeling item selection and relevance for accurate recommendations: a bayesian approach. In Proceedings of the 5th ACM conference on recommender systems, RecSys’11. ACM, pp. 21–28.
5. Basu, C., Hirsh, H., & Cohen, W. W. (1998). Recommendation as classification: Using social and content-based information in recommendation. In Proceedings of AAAI/IAAI’98, pp. 714–720.
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