Sciweavers

230 search results - page 2 / 46
» A probabilistic method for inferring preferences from clicks
Sort
View
CORR
2006
Springer
118views Education» more  CORR 2006»
13 years 5 months ago
Minimally Invasive Randomization for Collecting Unbiased Preferences from Clickthrough Logs
Clickthrough data is a particularly inexpensive and plentiful resource to obtain implicit relevance feedback for improving and personalizing search engines. However, it is well kn...
Filip Radlinski, Thorsten Joachims
CVPR
2011
IEEE
13 years 1 months ago
Collaborative Personalization of Image Enhancement
While most existing enhancement tools for photographs have universal auto-enhancement functionality, recent research [8] shows that users can have personalized preferences. In thi...
Juan Caicedo, Ashish Kapoor, Sing Bing Kang
HICSS
2005
IEEE
132views Biometrics» more  HICSS 2005»
13 years 11 months ago
Multi-Expert Decision-Making with Linguistic Information: A Probabilistic-Based Model
It is well-known that linguistic decision-making problems that manage preferences from different experts follow a common resolution scheme composed by two phases: an aggregation p...
Van-Nam Huynh, Yoshiteru Nakamori
IRAL
2003
ACM
13 years 11 months ago
Extraction of user preferences from a few positive documents
In this work, we propose a new method for extracting user preferences from a few documents that might interest users. For this end, we first extract candidate terms and choose a n...
Byeong Man Kim, Qing Li, Jong-Wan Kim
EMNLP
2009
13 years 3 months ago
Mining Search Engine Clickthrough Log for Matching N-gram Features
User clicks on a URL in response to a query are extremely useful predictors of the URL's relevance to that query. Exact match click features tend to suffer from severe data s...
Huihsin Tseng, Longbin Chen, Fan Li, Ziming Zhuang...