499 search results - page 43 / 100 » Search Engines that Learn from Implicit Feedback |
132
click to vote
Publication
A large class of systems of biological and technological relevance can be described as analog networks, that is, collections of dynamic devices interconnected by links of varying s...
IPM
2008
14 years 11 months ago
2008
This article explores how to develop complex data driven user models that go beyond the bag of words model and topical relevance. We propose to learn from rich user specific info...
TREC
1998
15 years 17 days ago
1998
In this report we describe our model of dynamic hypertext and how the ClickIR system uses this model to assist users in interactive search. The system was used in both the ad hoc ...
112
click to vote
WWW
2010
ACM
15 years 6 months ago
2010
ACM
Today the major web search engines answer queries by showing ten result snippets, which need to be inspected by users for identifying relevant results. In this paper we investigat...
CCS
2011
ACM
13 years 11 months ago
2011
ACM
Search engine optimization (SEO) techniques are often abused to promote websites among search results. This is a practice known as blackhat SEO. In this paper we tackle a newly em...