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» A Web Recommendation System Based on Maximum Entropy
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AINA
2009
IEEE
14 years 22 days ago
Do Metrics Make Recommender Algorithms?
Recommender systems are used to suggest customized products to users. Most recommender algorithms create collaborative models by taking advantage of web user profiles. In the las...
Elica Campochiaro, Riccardo Casatta, Paolo Cremone...
COLCOM
2007
IEEE
14 years 2 months ago
Face2face social bookmarking with recommendations: WebQuests in the classrooms
—In this paper we present SYNCOBOOK, a distributed system that offers the functionalities of a face-to-face cooperative bookmarking system and of a recommendation system. Our ove...
Raffaella Grieco, Delfina Malandrino, Giuseppina P...
ICALT
2007
IEEE
14 years 1 months ago
An Ontology-Based Framework for Authoring Assisted by Recommendation
In this paper, we propose the use of Semantic Web technologies to bridge the gap between authoring systems and authors. The core part of our solution is the ontology-based framewo...
Sasa Nesic, Dragan Gasevic, Mehdi Jazayeri
ICIP
2007
IEEE
14 years 1 months ago
Propagating Image-Level Part Statistics to Enhance Object Detection
The bag-of-words approach has become increasingly attractive in the fields of object category recognition and scene classification, witnessed by some successful applications [5, 7...
Sheng Gao, Joo-Hwee Lim, Qibin Sun
OHS
2001
Springer
14 years 1 days ago
METIOREW: An Objective Oriented Content Based and Collaborative Recommending System
The size of Internet has been growing very fast and many documents appear every day in the Net. Users find many problems to obtain the information that they really need. In order t...
David Bueno, Ricardo Conejo, Amos David