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» Term Ranking for Clustering Web Search Results
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ERCIMDL
2004
Springer
180views Education» more  ERCIMDL 2004»
15 years 3 months ago
Next Generation Search Interfaces - Interactive Data Exploration and Hypothesis Formulation
To date, the majority of Web search engines have provided simple keyword search interfaces that present the results as a ranked list of hyperlinks. More recently researchers have b...
Jane Hunter, Katya Falkovych, Suzanne Little
CIKM
2009
Springer
14 years 11 months ago
Improving search engines using human computation games
Work on evaluating and improving the relevance of web search engines typically use human relevance judgments or clickthrough data. Both these methods look at the problem of learni...
Hao Ma, Raman Chandrasekar, Chris Quirk, Abhishek ...
SIGMOD
2011
ACM
219views Database» more  SIGMOD 2011»
14 years 27 days ago
Context-sensitive ranking for document retrieval
We study the problem of context-sensitive ranking for document retrieval, where a context is defined as a sub-collection of documents, and is specified by queries provided by do...
Liang Jeff Chen, Yannis Papakonstantinou
ERCIMDL
2008
Springer
119views Education» more  ERCIMDL 2008»
14 years 12 months ago
Enhancing Library Services with Web 2.0 Functionalities
In this paper, a prototype of an Online Public Access Catalog (OPAC) is presented. This new OPAC features new functionalities and utilizes web 2.0 technologies in order to deliver ...
Dimitris Gavrilis, Constantia Kakali, Christos Pap...
98
Voted
IPM
2008
100views more  IPM 2008»
14 years 10 months ago
Query-level loss functions for information retrieval
Many machine learning technologies such as support vector machines, boosting, and neural networks have been applied to the ranking problem in information retrieval. However, since...
Tao Qin, Xu-Dong Zhang, Ming-Feng Tsai, De-Sheng W...