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» Query Refinement based on Topical Term Clustering
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KDD
2005
ACM
180views Data Mining» more  KDD 2005»
14 years 1 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
CIKM
2010
Springer
13 years 5 months ago
From exploratory search to web search and back
The power of search is with no doubt one of the main aspects for the success of the Web. Currently available search engines on the Web allow to return results with a high precisio...
Roberto Mirizzi, Tommaso Di Noia
CIKM
2005
Springer
14 years 1 months ago
Minimal document set retrieval
This paper presents a novel formulation and approach to the minimal document set retrieval problem. Minimal Document Set Retrieval (MDSR) is a promising information retrieval task...
Wei Dai, Rohini K. Srihari
DEXAW
2010
IEEE
231views Database» more  DEXAW 2010»
13 years 8 months ago
Extracting User Interests from Search Query Logs: A Clustering Approach
-- This paper proposes to enhance search query log analysis by taking into account the semantic properties of query terms. We first describe a method for extracting a global semant...
Lyes Limam, David Coquil, Harald Kosch, Lionel Bru...
EKAW
2004
Springer
14 years 28 days ago
A Topic-Based Browser for Large Online Resources
The exploration of large information spaces is a difficult task, especially if the user is not familiar with the terminology used to describe information. Conceptual models of a do...
Heiner Stuckenschmidt, Anita de Waard, Ravinder Bh...