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» Graded-Inclusion-Based Information Retrieval Systems
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SAC
2008
ACM
15 years 3 months ago
Tag-aware recommender systems by fusion of collaborative filtering algorithms
Recommender Systems (RS) aim at predicting items or ratings of items that the user are interested in. Collaborative Filtering (CF) algorithms such as user- and item-based methods ...
Karen H. L. Tso-Sutter, Leandro Balby Marinho, Lar...
100
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IEAAIE
2004
Springer
15 years 9 months ago
Iterative Semi-supervised Learning: Helping the User to Find the Right Records
This paper proposes extending semi-supervised learning by allowing an ongoing interaction between a user and the system. The extension is intended to not only to speed up search fo...
Chris Drummond
WWW
2005
ACM
16 years 4 months ago
Delivering new web content reusing remote and heterogeneous sites. A DOM-based approach
This contribution addresses the development of new web sites reusing already existing contents from external sources. Unlike common links to other resources, which retrieves the w...
Luis Álvarez Sabucedo, Luis E. Anido-Rif&oa...
ECIR
2009
Springer
16 years 1 months ago
Using Multiple Query Aspects to Build Test Collections without Human Relevance Judgments
Abstract. Collecting relevance judgments (qrels) is an especially challenging part of building an information retrieval test collection. This paper presents a novel method for crea...
Miles Efron
RECSYS
2009
ACM
15 years 10 months ago
Recommendations with prerequisites
We consider the problem of recommending the best set of k items when there is an inherent ordering between items, expressed as a set of prerequisites (e.g., the course ‘Real Ana...
Aditya G. Parameswaran, Hector Garcia-Molina