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» Predicting user interests from contextual information
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MOBISYS
2011
ACM
14 years 20 days ago
AppJoy: personalized mobile application discovery
The explosive growth of the mobile application market has made it a significant challenge for the users to find interesting applications in crowded App Stores. To alleviate this...
Bo Yan, Guanling Chen
MM
2005
ACM
110views Multimedia» more  MM 2005»
15 years 3 months ago
Photo LOI: browsing multi-user photo collections
The number of digital photographs is growing beyond the abilities of individuals to easily manage and understand their own photo collections. Photo LOI (Level of Interest) is a te...
Rahul Nair, Nick Reid, Marc Davis
ECIR
2010
Springer
14 years 11 months ago
Personalizing Web Search with Folksonomy-Based User and Document Profiles
Web search personalization aims to adapt search results to a user based on his tastes, interests and needs. The way in which such personal preferences are captured, modeled and exp...
David Vallet, Iván Cantador, Joemon M. Jose
MIR
2005
ACM
143views Multimedia» more  MIR 2005»
15 years 3 months ago
Extracting information from multimedia meeting collections
Multimedia meeting collections, composed of unedited audio and video streams, handwritten notes, slides, and electronic documents that jointly constitute a raw record of complex h...
Daniel Gatica-Perez, Dong Zhang, Samy Bengio
SIGIR
2006
ACM
15 years 3 months ago
Action modeling: language models that predict query behavior
We present a novel language modeling approach to capturing the query reformulation behavior of Web search users. Based on a framework that categorizes eight different types of “...
G. Craig Murray, Jimmy J. Lin, Abdur Chowdhury