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» Query and Document Models for Enterprise Search
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VLDB
2007
ACM
132views Database» more  VLDB 2007»
15 years 4 months ago
EntityRank: Searching Entities Directly and Holistically
As the Web has evolved into a data-rich repository, with the standard “page view,” current search engines are becoming increasingly inadequate for a wide range of query tasks....
Tao Cheng, Xifeng Yan, Kevin Chen-Chuan Chang
CIKM
2007
Springer
15 years 4 months ago
Generalizing from relevance feedback using named entity wildcards
Traditional adaptive filtering systems learn the user’s interests in a rather simple way – words from relevant documents are favored in the query model, while words from irre...
Abhimanyu Lad, Yiming Yang
KDD
2005
ACM
180views Data Mining» more  KDD 2005»
15 years 3 months ago
Information retrieval based on collaborative filtering with latent interest semantic map
In this paper, we propose an information retrieval model called Latent Interest Semantic Map (LISM), which features retrieval composed of both Collaborative Filtering(CF) and Prob...
Noriaki Kawamae, Katsumi Takahashi
ADC
2004
Springer
105views Database» more  ADC 2004»
15 years 3 months ago
Do Clarity Scores for Queries Correlate with User Performance?
Recently the concept of a clarity score was introduced in order to measure the ambiguity of a query in relation to the collection in which the query issuer is seeking information ...
Andrew Turpin, William R. Hersh
MIR
2010
ACM
163views Multimedia» more  MIR 2010»
15 years 13 days ago
SNDocRank: a social network-based video search ranking framework
Multimedia ranking algorithms are usually user-neutral and measure the importance and relevance of documents by only using the visual contents and meta-data. However, users’ int...
Liang Gou, Hung-Hsuan Chen, Jung-Hyun Kim, Xiaolon...