43 search results - page 1 / 9 » Query chains: learning to rank from implicit feedback |
KDD
2005
ACM
14 years 9 months ago
2005
ACM
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 ...
NAACL
2010
13 years 6 months ago
2010
The goal of this work is to integrate query similarity metrics as features into a dense model that can be trained on large amounts of query log data, in order to rank query rewrit...
ETRA
2010
ACM
14 years 3 months ago
2010
ACM
In order to help users navigate an image search system, one could provide explicit information on a small set of images as to which of them are relevant or not to their task. Thes...
ICML
2008
IEEE
14 years 9 months ago
2008
IEEE
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...
CIVR
2010
Springer
14 years 1 months ago
2010
Springer
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, ...