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» Relevance Evaluation of Search Engines' Query Results
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WWW
2010
ACM
16 years 1 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
MIR
2010
ACM
232views Multimedia» more  MIR 2010»
16 years 1 months ago
Exploiting external knowledge to improve video retrieval
Most video retrieval systems are multimodal, commonly relying on textual information, low- and high-level semantic features extracted from query visual examples. In this work, we ...
David Vallet, Iván Cantador, Joemon M. Jose
WSDM
2010
ACM
265views Data Mining» more  WSDM 2010»
16 years 3 months ago
Data-oriented Content Query System: Searching for Data into Text on the Web
As the Web provides rich data embedded in the immense contents inside pages, we witness many ad-hoc efforts for exploiting fine granularity information across Web text, such as We...
Kevin Chen-Chuan Chang, Mianwei Zhou, Tao Cheng
CIDM
2007
IEEE
16 years 26 days ago
iScore: Measuring the Interestingness of Articles in a Limited User Environment
Abstract-Search engines, such as Google, assign scores to news articles based on their relevancy to a query. However, not all relevant articles for the query may be interesting to ...
Raymond K. Pon, Alfonso F. Cardenas, David Buttler...
CIKM
2009
Springer
16 years 1 months ago
Easiest-first search: towards comprehension-based web search
Although Web search engines have become information gateways to the Internet, for queries containing technical terms, search results often contain pages that are difficult to be ...
Makoto Nakatani, Adam Jatowt, Katsumi Tanaka