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» CiteSeerX: AI in a Digital Library Search Engine
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RECSYS
2009
ACM
13 years 11 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 ...
WEBDB
2010
Springer
155views Database» more  WEBDB 2010»
13 years 9 months ago
Learning Topical Transition Probabilities in Click Through Data with Regression Models
The transition of search engine users’ intents has been studied for a long time. The knowledge of intent transition, once discovered, can yield a better understanding of how diď...
Xiao Zhang, Prasenjit Mitra
JCDL
2011
ACM
272views Education» more  JCDL 2011»
12 years 7 months ago
CollabSeer: a search engine for collaboration discovery
Collaborative research has been increasingly popular and important in academic circles. However, there is no open platform available for scholars or scientists to effectively dis...
Hung-Hsuan Chen, Liang Gou, Xiaolong Zhang, Clyde ...
WWW
2010
ACM
13 years 11 months ago
Context-aware citation recommendation
When you write papers, how many times do you want to make some citations at a place but you are not sure which papers to cite? Do you wish to have a recommendation system which ca...
Qi He, Jian Pei, Daniel Kifer, Prasenjit Mitra, C....
ERCIMDL
1997
Springer
169views Education» more  ERCIMDL 1997»
13 years 9 months ago
Relevance Feedback and Query Expansion for Searching the Web: A Model for Searching a Digital Library
: A fully operational large scale digital library is likely to be based on a distributed architecture and because of this it is likely that a number of independent search engines m...
Alan F. Smeaton, Francis Crimmins