Sciweavers

362 search results - page 55 / 73
» Learning preferences of new users in recommender systems: an...
Sort
View
STOC
2004
ACM
145views Algorithms» more  STOC 2004»
14 years 7 months ago
Using mixture models for collaborative filtering
A collaborative filtering system at an e-commerce site or similar service uses data about aggregate user behavior to make recommendations tailored to specific user interests. We d...
Jon M. Kleinberg, Mark Sandler
IPM
2008
114views more  IPM 2008»
13 years 7 months ago
User-assisted query translation for interactive cross-language information retrieval
Interactive Cross-Language Information Retrieval (CLIR), a process in which searcher and system collaborate to find documents that satisfy an information need regardless of the la...
Douglas W. Oard, Daqing He, Jianqiang Wang
IUI
2011
ACM
12 years 10 months ago
TellMe: learning procedures from tutorial instruction
This paper describes an approach to allow end users to define new procedures through tutorial instruction. Our approach allows users to specify procedures in natural language in t...
Yolanda Gil, Varun Ratnakar, Christian Fritz
KDD
2009
ACM
245views Data Mining» more  KDD 2009»
14 years 8 months ago
Mining rich session context to improve web search
User browsing information, particularly their non-search related activity, reveals important contextual information on the preferences and the intent of web users. In this paper, ...
Guangyu Zhu, Gilad Mishne
AOSE
2007
Springer
13 years 11 months ago
Refining Goal Models by Evaluating System Behaviour
Abstract. Nowadays, information systems have to perform in complex, heterogeneous environments, considering a variety of system users with different needs and preferences. Software...
Mirko Morandini, Loris Penserini, Anna Perini, Ang...