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» Evaluating Critiquing-based Recommender Agents
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CIA
2004
Springer
13 years 10 months ago
Qualitative Analysis of User-Based and Item-Based Prediction Algorithms for Recommendation Agents
Recommendation agents employ prediction algorithms to provide users with items that match their interests. In this paper, several prediction algorithms are described and evaluated...
Manos Papagelis, Dimitris Plexousakis
AAAI
2006
13 years 6 months ago
Mixed Collaborative and Content-Based Filtering with User-Contributed Semantic Features
We describe a recommender system which uses a unique combination of content-based and collaborative methods to suggest items of interest to users, and also to learn and exploit it...
Matthew Garden, Gregory Dudek
ATAL
2005
Springer
13 years 11 months ago
Trust evaluation through relationship analysis
Current mechanisms for evaluating the trustworthiness of an agent within an electronic marketplace depend either on using a history of interactions or on recommendations from othe...
Ronald Ashri, Sarvapali D. Ramchurn, Jordi Sabater...
AAAI
2004
13 years 6 months ago
Exploring More Realistic Evaluation Measures for Collaborative Filtering
Collaborative filtering is a popular technique for recommending items to people. Several methods for collaborative filtering have been proposed in the literature and the quality o...
Giuseppe Carenini, Rita Sharma
AAAI
2011
12 years 5 months ago
Dynamic Resource Allocation in Conservation Planning
Consider the problem of protecting endangered species by selecting patches of land to be used for conservation purposes. Typically, the availability of patches changes over time, ...
Daniel Golovin, Andreas Krause, Beth Gardner, Sara...