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» Recommender Systems by means of Information Retrieval
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SIGECOM
2004
ACM
127views ECommerce» more  SIGECOM 2004»
15 years 3 months ago
HYRIWYG: leveraging personalization to elicit honest recommendations
This paper presents HYRIWYG (How You Rate Influences What You Get), a reputation system applicable to Internet Recommendation Systems (RS). The novelty lies in the incentive mecha...
Ana Cristina Bicharra Garcia, Martin Ekstrom, Hans...
WWW
2008
ACM
15 years 10 months ago
Asymmetrical query recommendation method based on bipartite network resource allocation
This paper presents a new query recommendation method that generates recommended query list by mining large-scale user logs. Starting from the user logs of click-through data, we ...
Zhiyuan Liu, Maosong Sun
SIGIR
2005
ACM
15 years 3 months ago
Information retrieval system evaluation: effort, sensitivity, and reliability
The effectiveness of information retrieval systems is measured by comparing performance on a common set of queries and documents. Significance tests are often used to evaluate the...
Mark Sanderson, Justin Zobel
RECSYS
2009
ACM
15 years 4 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
SAC
2008
ACM
14 years 9 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...