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» Comparing relevance feedback algorithms for web search
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TREC
2001
14 years 11 months ago
SiteQ: Engineering High Performance QA System Using Lexico-Semantic Pattern Matching and Shallow NLP
s In TREC-10, we participated in the web track (only ad-hoc task) and the QA track (only main task). In the QA track, our QA system (SiteQ) has general architecture with three proc...
Gary Geunbae Lee, Jungyun Seo, Seungwoo Lee, Hanmi...
SIGIR
2012
ACM
13 years 3 days ago
Cognos: crowdsourcing search for topic experts in microblogs
Finding topic experts on microblogging sites with millions of users, such as Twitter, is a hard and challenging problem. In this paper, we propose and investigate a new methodolog...
Saptarshi Ghosh, Naveen Kumar Sharma, Fabrí...
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ICIP
2003
IEEE
15 years 11 months ago
An ontology approach to object-based image retrieval
In this paper, an image retrieval methodology suited for search in large collections of heterogeneous images is presented. The proposed approach employs a fully unsupervised segme...
Vasileios Mezaris, Ioannis Kompatsiaris, Michael G...
CLEF
2007
Springer
15 years 3 months ago
Cheshire at GeoCLEF 2007: Retesting Text Retrieval Baselines
In this paper we will briefly describe the approaches taken by Berkeley for the main GeoCLEF 2007 tasks (Mono and Bilingual retrieval). This year we used only a single system in ...
Ray R. Larson
MDM
2005
Springer
15 years 3 months ago
Dynamically-optimized context in recommender systems
Traditional approaches to recommender systems have not taken into account situational information when making recommendations, and this seriously limits the relevance of the resul...
Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang