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» CT-Rank: A Time-aware Ranking Algorithm for Web Search
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WSDM
2012
ACM
285views Data Mining» more  WSDM 2012»
13 years 5 months ago
Probabilistic models for personalizing web search
We present a new approach for personalizing Web search results to a specific user. Ranking functions for Web search engines are typically trained by machine learning algorithms u...
David Sontag, Kevyn Collins-Thompson, Paul N. Benn...
85
Voted
AINA
2007
IEEE
15 years 4 months ago
Un-biasing the Link Farm Effect in PageRank Computation
Link analysis is a critical component of current Internet search engines' results ranking software, which determines the ordering of query results returned to the user. The o...
Arnon Rungsawang, Komthorn Puntumapon, Bundit Mana...
WWW
2010
ACM
15 years 4 months ago
RankCompete: simultaneous ranking and clustering of web photos
With the explosive growth of digital cameras and online media, it has become crucial to design efficient methods that help users browse and search large image collections. The rec...
Liangliang Cao, Andrey Del Pozo, Xin Jin, Jiebo Lu...
WWW
2008
ACM
15 years 10 months ago
Learning to rank relational objects and its application to web search
Learning to rank is a new statistical learning technology on creating a ranking model for sorting objects. The technology has been successfully applied to web search, and is becom...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang...
KDD
2010
ACM
257views Data Mining» more  KDD 2010»
15 years 1 months ago
Multi-task learning for boosting with application to web search ranking
In this paper we propose a novel algorithm for multi-task learning with boosted decision trees. We learn several different learning tasks with a joint model, explicitly addressing...
Olivier Chapelle, Pannagadatta K. Shivaswamy, Srin...