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» Determining the user intent of web search engine queries
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WWW
2010
ACM
14 years 4 months ago
Sampling high-quality clicks from noisy click data
Click data captures many users’ document preferences for a query and has been shown to help significantly improve search engine ranking. However, most click data is noisy and of...
Adish Singla, Ryen W. White
ICTAI
2002
IEEE
14 years 1 months ago
Context Query in Information Retrieval
It is observed that there is an important query requirement missing for search engines. With the wide variation of domain knowledge and user's interest, a user would like to ...
Chi-Hung Chi, Chen Ding, Kwok-Yan Lam
SIGIR
2010
ACM
14 years 26 days ago
Studying trailfinding algorithms for enhanced web search
Search engines return ranked lists of Web pages in response to queries. These pages are starting points for post-query navigation, but may be insufficient for search tasks involvi...
Adish Singla, Ryen White, Jeff Huang
ECIR
2011
Springer
13 years 15 days ago
Introducing the User-over-Ranking Hypothesis
The User-over-Ranking hypothesis states that rather the user herself than a web search engine’s ranking algorithm can help to improve retrieval performance. The means are longer ...
Benno Stein, Matthias Hagen
SEMWEB
2009
Springer
14 years 3 months ago
Learning Semantic Query Suggestions
An important application of semantic web technology is recognizing human-defined concepts in text. Query transformation is a strategy often used in search engines to derive querie...
Edgar Meij, Marc Bron, Laura Hollink, Bouke Huurni...