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» An Information Retrieval Approach to Sense Ranking
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CIKM
2000
Springer
15 years 2 months ago
Relevance and Reinforcement in Interactive Browsing
We consider the problem of browsing the top ranked portion of the documents returned by an information retrieval system. We describe an interactive relevance feedback agent that a...
Anton Leuski
KDD
2006
ACM
134views Data Mining» more  KDD 2006»
15 years 10 months ago
Learning to rank networked entities
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
Alekh Agarwal, Soumen Chakrabarti, Sunny Aggarwal
CHI
2011
ACM
14 years 1 months ago
Apolo: making sense of large network data by combining rich user interaction and machine learning
Extracting useful knowledge from large network datasets has become a fundamental challenge in many domains, from scientific literature to social networks and the web. We introduc...
Duen Horng Chau, Aniket Kittur, Jason I. Hong, Chr...
WSDM
2010
ACM
259views Data Mining» more  WSDM 2010»
15 years 7 months ago
Revisiting Globally Sorted Indexes for Efficient Document Retrieval
There has been a large amount of research on efficient document retrieval in both IR and web search areas. One important technique to improve retrieval efficiency is early termina...
Fan Zhang, Shuming Shi, Hao Yan, Ji-Rong Wen
WWW
2010
ACM
15 years 4 months ago
SpotRank: a robust voting system for social news websites
In a social news website people share content they found on the web, called news, then vote for those they like the most. Voting for a news is then considered as a recommendation,...
Thomas Largillier, Guillaume Peyronnet, Sylvain Pe...