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RECSYS
2010
ACM
15 years 21 days ago
Nantonac collaborative filtering: a model-based approach
A recommender system has to collect users' preference data. To collect such data, rating or scoring methods that use rating scales, such as good-fair-poor or a five-point-sca...
Toshihiro Kamishima, Shotaro Akaho
124
Voted
CIKM
2010
Springer
14 years 11 months ago
Rank learning for factoid question answering with linguistic and semantic constraints
This work presents a general rank-learning framework for passage ranking within Question Answering (QA) systems using linguistic and semantic features. The framework enables query...
Matthew W. Bilotti, Jonathan L. Elsas, Jaime G. Ca...
84
Voted
WWW
2003
ACM
16 years 1 months ago
Searching the workplace web
The social impact from the World Wide Web cannot be underestimated, but technologies used to build the Web are also revolutionizing the sharing of business and government informat...
Ronald Fagin, Ravi Kumar, Kevin S. McCurley, Jasmi...
89
Voted
WWW
2009
ACM
16 years 1 months ago
Dataplorer: a scalable search engine for the data web
More and more structured information in the form of semantic data is nowadays available. It offers a wide range of new possibilities especially for semantic search and Web data in...
Haofen Wang, Qiaoling Liu, Gui-Rong Xue, Yong Yu, ...
119
Voted
WWW
2003
ACM
15 years 5 months ago
User Access Pattern Enhanced Small Web Search
Current search engines generally employ link analysis techniques to web-page re-ranking. However, the same techniques are problematic in small webs, such as websites or intranet w...
Gui-Rong Xue, Hua-Jun Zeng, Zheng Chen, Wei-Ying M...