Sciweavers

499 search results - page 58 / 100
» Search Engines that Learn from Implicit Feedback
Sort
View
WWW
2008
ACM
15 years 12 months ago
Determining user's interest in real time
Most of the search engine optimization techniques attempt to predict users interest by learning from the past information collected from different sources. But, a user's curr...
Sanasam Ranbir Singh, Hema A. Murthy, Timothy A. G...
IR
2000
14 years 11 months ago
Automating the Construction of Internet Portals with Machine Learning
Domain-specific internet portals are growing in popularity because they gather content from the Web and organize it for easy access, retrieval and search. For example, www.campsear...
Andrew McCallum, Kamal Nigam, Jason Rennie, Kristi...
CIKM
2009
Springer
15 years 5 months ago
MRM: an adaptive framework for XML searching
In order to deal with the diversified nature of XML documents as well as individual user preferences, we propose a novel Multiodel (MRM), which is able to abstract a spectrum of i...
Ho Lam Lau, Wilfred Ng
ATAL
2005
Springer
15 years 4 months ago
From team plan to individual plans: a petri net-based approach
This paper focuses on a framework for representing a team plan and its projections on individual agents. The team plan is represented with a coloured Petri net. Using the implicit...
Olivier Bonnet-Torrés, Catherine Tessier
MM
2004
ACM
142views Multimedia» more  MM 2004»
15 years 4 months ago
Learning query-class dependent weights in automatic video retrieval
Combining retrieval results from multiple modalities plays a crucial role for video retrieval systems, especially for automatic video retrieval systems without any user feedback a...
Rong Yan, Jun Yang 0003, Alexander G. Hauptmann