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» A Knowledge Recommend System Based on User Model
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GFKL
2007
Springer
180views Data Mining» more  GFKL 2007»
14 years 1 months ago
Content-based Dimensionality Reduction for Recommender Systems
Recommender Systems are gaining widespread acceptance in e-commerce applications to confront the information overload problem. Collaborative Filtering (CF) is a successful recommen...
Panagiotis Symeonidis
BPM
2010
Springer
163views Business» more  BPM 2010»
13 years 9 months ago
Self-adjusting Recommendations for People-Driven Ad-Hoc Processes
Abstract. A company's ability to flexibly adapt to changing business requirements is one key factor to remain competitive. The required flexibility in peopledriven processes i...
Christoph Dorn, Thomas Burkhart, Dirk Werth, Schah...
SWAP
2007
13 years 9 months ago
Towards Social Semantic Suggestive Tagging
The organization of the knowledge on the web is increasingly becoming a social task performed by online communities whose members share a common interest in classifying different t...
Fabio Calefato, Domenico Gendarmi, Filippo Lanubil...
EWCBR
1998
Springer
14 years 21 hour ago
WWW Assisted Browsing by Reusing Past Navigations of a Group of Users
In this paper, we present our case-based browsing advisor for the Web, called BROADWAY. BROADWAY follows a group of users during their navigations and supports an indirect collabor...
Michel Jaczynski, Brigitte Trousse
ACMICEC
2008
ACM
272views ECommerce» more  ACMICEC 2008»
13 years 9 months ago
Adapting the interaction state model in conversational recommender systems
Conventional conversational recommender systems support interaction strategies that are hard-coded into the system in advance. In this context, Reinforcement Learning techniques h...
Tariq Mahmood, Francesco Ricci