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» Recommender Systems by means of Information Retrieval
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WWW
2007
ACM
15 years 10 months ago
Modeling user behavior in recommender systems based on maximum entropy
We propose a model for user purchase behavior in online stores that provide recommendation services. We model the purchase probability given recommendations for each user based on...
Tomoharu Iwata, Kazumi Saito, Takeshi Yamada
AWIC
2003
Springer
15 years 2 months ago
Evaluating the Informative Quality of Web Sites by Fuzzy Computing with Words
Abstract. In this paper we present a method based on fuzzy computing with words to measure the informative quality of Web sites used to publish information stored in XML documents....
Enrique Herrera-Viedma, Eduardo Peis, María...
RECSYS
2009
ACM
15 years 4 months ago
Conceptual recommender system for CiteSeerX
Short search engine queries do not provide contextual information, making it difficult for traditional search engines to understand what users are really requesting. One approach ...
Ajith Kodakateri Pudhiyaveetil, Susan Gauch, Hiep ...
RECSYS
2009
ACM
15 years 4 months ago
Getting recommender systems to think outside the box
We examine the case of over-specialization in recommender systems, which results from returning items that are too similar to those previously rated by the user. We propose Outsid...
Zeinab Abbassi, Sihem Amer-Yahia, Laks V. S. Laksh...
RECSYS
2009
ACM
15 years 4 months ago
Rate it again: increasing recommendation accuracy by user re-rating
A common approach to designing Recommender Systems (RS) consists of asking users to explicitly rate items in order to collect feedback about their preferences. However, users have...
Xavier Amatriain, Josep M. Pujol, Nava Tintarev, N...