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» Clustering user queries of a search engine
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SENSYS
2005
ACM
14 years 1 months ago
MAX: human-centric search of the physical world
MAX is a system that facilitates human-centric search of the physical world. It allows humans to search for and locate objects as and when they need it instead of organizing them ...
Kok-Kiong Yap, Vikram Srinivasan, Mehul Motani
ICTIR
2009
Springer
13 years 5 months ago
An Analysis of NP-Completeness in Novelty and Diversity Ranking
Abstract. A useful ability for search engines is to be able to rank objects with novelty and diversity: the top k documents retrieved should cover possible interpretations of a que...
Ben Carterette
COLING
2010
13 years 2 months ago
A Method for Automatically Generating a Mediatory Summary to Verify Credibility of Information on the Web
In this paper, we propose a method for mediatory summarization, which is a novel technique for facilitating users' assessments of the credibility of information on the Web. A...
Hideyuki Shibuki, Takahiro Nagai, Masahiro Nakano,...
SIGIR
2010
ACM
13 years 11 months ago
How good is a span of terms?: exploiting proximity to improve web retrieval
Ranking search results is a fundamental problem in information retrieval. In this paper we explore whether the use of proximity and phrase information can improve web retrieval ac...
Krysta Marie Svore, Pallika H. Kanani, Nazan Khan
RECSYS
2009
ACM
14 years 2 months ago
Conceptual recommender system for CiteSeerX
Short search engine queries do not provide contextual information, making it difficult for traditional search engines to understand what users are really requesting. One approach ...
Ajith Kodakateri Pudhiyaveetil, Susan Gauch, Hiep ...