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» A product retrieval system robust to subjective queries
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ICDIM
2007
IEEE
13 years 11 months ago
A product retrieval system robust to subjective queries
: In this paper, we propose a method for retrieving products that match users’ search queries written in natural language. We use a large amount of product reviews written by con...
Kenji Sugiki, Shigeki Matsubara
EDBT
2009
ACM
134views Database» more  EDBT 2009»
13 years 9 months ago
Caching content-based queries for robust and efficient image retrieval
In order to become an effective complement to traditional Web-scale text-based image retrieval solutions, content-based image retrieval must address scalability and efficiency iss...
Fabrizio Falchi, Claudio Lucchese, Salvatore Orlan...
KDD
2009
ACM
156views Data Mining» more  KDD 2009»
14 years 5 months ago
Query result clustering for object-level search
Query result clustering has recently attracted a lot of attention to provide users with a succinct overview of relevant results. However, little work has been done on organizing t...
Jongwuk Lee, Seung-won Hwang, Zaiqing Nie, Ji-Rong...
WWW
2009
ACM
14 years 6 months ago
Buzz-based recommender system
In this paper, we describe a buzz-based recommender system based on a large source of queries in an eCommerce application. The system detects bursts in query trends. These bursts ...
Nish Parikh, Neel Sundaresan
WSDM
2009
ACM
138views Data Mining» more  WSDM 2009»
14 years 2 days ago
Adaptive subjective triggers for opinionated document retrieval
This paper proposes a novel application of a statistical language model to opinionated document retrieval targeting weblogs (blogs). In particular, we explore the use of the trigg...
Kazuhiro Seki, Kuniaki Uehara