Sciweavers

380 search results - page 2 / 76
» Evaluating the Robustness of Learning from Implicit Feedback
Sort
View
CIVR
2010
Springer
276views Image Analysis» more  CIVR 2010»
13 years 10 months ago
Optimizing visual search with implicit user feedback in interactive video retrieval
This paper describes an approach to optimize query by visual example results, by combining visual features and implicit user feedback in interactive video retrieval. To this end, ...
Stefanos Vrochidis, Ioannis Kompatsiaris, Ioannis ...
KDD
2005
ACM
177views Data Mining» more  KDD 2005»
14 years 6 months ago
Query chains: learning to rank from implicit feedback
This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform ...
Filip Radlinski, Thorsten Joachims
COMPUTER
2007
107views more  COMPUTER 2007»
13 years 5 months ago
Search Engines that Learn from Implicit Feedback
Thorsten Joachims, Filip Radlinski
ICML
2008
IEEE
14 years 6 months ago
Learning to learn implicit queries from gaze patterns
In the absence of explicit queries, an alternative is to try to infer users' interests from implicit feedback signals, such as clickstreams or eye tracking. The interests, fo...
Antti Ajanki, Kai Puolamäki, Samuel Kaski
ECIR
2011
Springer
12 years 9 months ago
Balancing Exploration and Exploitation in Learning to Rank Online
Abstract. As retrieval systems become more complex, learning to rank approaches are being developed to automatically tune their parameters. Using online learning to rank approaches...
Katja Hofmann, Shimon Whiteson, Maarten de Rijke