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» Learning and adaptivity in interactive recommender systems
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ICALT
2010
IEEE
13 years 7 months ago
Towards a Competence Based System for Recommending Study Materials (CBSR)
— Most e-learning systems require intervention from a teacher. The development of adaptive hypermedia systems, such as intelligent tutoring systems, aimed to reduce the teachersâ...
Athitaya Nitchot, Lester Gilbert, Gary B. Wills
FLAIRS
2006
13 years 8 months ago
Improving Case-Based Recommendations Using Implicit Feedback
A recommender system suggests items to a user for a given query by personalizing the recommendations based on the user interests. User personalization is usually done by asking us...
Deepak Khemani, Mohamed A. K. Sadiq, Rakesh Bangan...
UM
2010
Springer
13 years 11 months ago
Interaction and Personalization of Criteria in Recommender Systems
A user’s informational need and preferences can be modeled by criteria, which in turn can be used to prioritize candidate results and produce a ranked list. We examine the use of...
Shawn R. Wolfe, Yi Zhang
CAISE
2003
Springer
14 years 21 days ago
Recommendation Based Discovery of Dynamic Virtual Communities
Recommendation systems are becoming increasingly popular in various large-scale web-based applications (such as infomediaries, emarketplaces, knowledge portals) since they enable u...
Manos Papagelis, Dimitris Plexousakis
AGENTS
1997
Springer
13 years 11 months ago
An Adaptive Web Page Recommendation Service
An adaptive recommendation service seeks to adapt to its users, providing increasingly personalized recommendations over time. In this paper we introduce the \Fab" adaptive W...
Marko Balabanovic