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» Information Retrieval in Folksonomies: Search and Ranking
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WSDM
2012
ACM
285views Data Mining» more  WSDM 2012»
12 years 3 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...
KDD
2010
ACM
257views Data Mining» more  KDD 2010»
13 years 11 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...
ICTAI
2002
IEEE
14 years 15 days ago
Context Query in Information Retrieval
It is observed that there is an important query requirement missing for search engines. With the wide variation of domain knowledge and user's interest, a user would like to ...
Chi-Hung Chi, Chen Ding, Kwok-Yan Lam
ICTIR
2009
Springer
13 years 5 months ago
An Analysis of NP-Completeness in Novelty and Diversity Ranking
Abstract. A useful ability for search engines is to be able to rank objects with novelty and diversity: the top k documents retrieved should cover possible interpretations of a que...
Ben Carterette
CLEF
2005
Springer
14 years 1 months ago
CLEF 2005: Multilingual Retrieval by Combining Multiple Multilingual Ranked Lists
: We participated in two tasks: Multi-8 two-years-on retrieval and Multi-8 results merging. For our multi-8 two-years-on retrieval work, simple multilingual ranked lists are first ...
Luo Si, Jamie Callan