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» Set-based model: a new approach for information retrieval
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KDD
2005
ACM
177views Data Mining» more  KDD 2005»
16 years 7 months ago
Query chains: learning to rank from implicit feedback
This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform ...
Filip Radlinski, Thorsten Joachims
VLDB
2005
ACM
83views Database» more  VLDB 2005»
16 years 2 days ago
Indexing Data-oriented Overlay Networks
The application of structured overlay networks to implement index structures for data-oriented applications such as peer-to-peer databases or peer-to-peer information retrieval, r...
Karl Aberer, Anwitaman Datta, Manfred Hauswirth, R...
WWW
2006
ACM
16 years 7 months ago
Mining clickthrough data for collaborative web search
This paper is to investigate the group behavior patterns of search activities based on Web search history data, i.e., clickthrough data, to boost search performance. We propose a ...
Jian-Tao Sun, Xuanhui Wang, Dou Shen, Hua-Jun Zeng...
CLEF
2009
Springer
15 years 7 months ago
Interactive Probabilistic Search for GikiCLEF
In this paper we will briefly describe the approaches taken by the Berkeley Cheshire Group for the GikiCLEF task of the QA track. Because the task was intended to model some aspec...
Ray R. Larson
WWW
2009
ACM
16 years 7 months ago
Extracting community structure through relational hypergraphs
Social media websites promote diverse user interaction on media objects as well as user actions with respect to other users. The goal of this work is to discover community structu...
Yu-Ru Lin, Jimeng Sun, Paul Castro, Ravi B. Konuru...