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» An Ontology-Based Information Retrieval Model
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KDD
2006
ACM
143views Data Mining» more  KDD 2006»
16 years 7 months ago
Mining long-term search history to improve search accuracy
Long-term search history contains rich information about a user's search preferences. In this paper, we study statistical language modeling based methods to mine contextual i...
Bin Tan, Xuehua Shen, ChengXiang Zhai
WWW
2011
ACM
15 years 1 months ago
Ranking in context-aware recommender systems
As context is acknowledged as an important factor that can affect users’ preferences, many researchers have worked on improving the quality of recommender systems by utilizing ...
Minsuk Kahng, Sangkeun Lee, Sang-goo Lee
WWW
2005
ACM
16 years 7 months ago
Improving text collection selection with coverage and overlap statistics
In an environment of distributed text collections, the first step in the information retrieval process is to identify which of all available collections are more relevant to a giv...
Thomas Hernandez, Subbarao Kambhampati
CIVR
2008
Springer
127views Image Analysis» more  CIVR 2008»
15 years 8 months ago
Performance evaluation of relevance feedback methods
In this paper we review the evaluation of relevance feedback methods for content-based image retrieval systems. We start out by presenting an overview of current common practice, ...
Mark J. Huiskes, Michael S. Lew
SAC
2006
ACM
16 years 15 days ago
Relevance feedback methods for logo and trademark image retrieval on the web
Relevance feedback is the state-of-the-art approach for adjusting query results to the needs of the users. This work extends the existing framework of image retrieval with relevan...
Euripides G. M. Petrakis, Klaydios Kontis, Epimeni...