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» Using Temporal Data for Making Recommendations
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SIGDIAL
2010
14 years 7 months ago
Modeling Spoken Decision Making Dialogue and Optimization of its Dialogue Strategy
This paper presents a spoken dialogue framework that helps users in making decisions. Users often do not have a definite goal or criteria for selecting from a list of alternatives...
Teruhisa Misu, Komei Sugiura, Kiyonori Ohtake, Chi...
84
Voted
SAC
2006
ACM
15 years 3 months ago
A privacy preserving web recommender system
In this paper we propose a recommender system that helps users to navigate though the Web by providing dynamically generated links to pages that have not yet been visited and are ...
Ranieri Baraglia, Claudio Lucchese, Salvatore Orla...
RECSYS
2009
ACM
15 years 3 months ago
A partial-order based active cache for recommender systems
Recommender systems aim to substantially reduce information overload by suggesting lists of similar items that users may find interesting. Caching has been a useful technique for...
Umar Qasim, Vincent Oria, Yi-fang Brook Wu, Michae...
KDD
2006
ACM
200views Data Mining» more  KDD 2006»
15 years 9 months ago
A Random-Walk Based Scoring Algorithm Applied to Recommender Engines
Recommender systems are an emerging technology that helps consumers find interesting products and useful resources. A recommender system makes personalized product suggestions by e...
Augusto Pucci, Marco Gori, Marco Maggini
JEC
2006
77views more  JEC 2006»
14 years 9 months ago
Tiny split data-caches make big performance impact for embedded applications
This paper shows that even very small data caches, when split to serve data streams exhibiting temporal and spatial localities, can improve performance of embedded applications wit...
Afrin Naz, Krishna M. Kavi, Wentong Li, Philip H. ...