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KBS
2006

Collaborative Recommending using Formal Concept Analysis

13 years 11 months ago
Collaborative Recommending using Formal Concept Analysis
We show how Formal Concept Analysis (FCA) can be applied to Collaborative Recommenders. FCA is a mathematical method for analysing binary relations. Here we apply it to the relation between users and items in a collaborative recommender system. FCA groups the users and items into concepts, ordered by a concept lattice. We present two new algorithms for finding neighbours in a collaborative recommender. Both use the concept lattice as an index to the recommender's ratings matrix. Our experimental results show a major decrease in the amount of work needed to find neighbours, while guaranteeing no loss of accuracy or coverage.
Patrick du Boucher-Ryan, Derek G. Bridge
Added 13 Dec 2010
Updated 13 Dec 2010
Type Journal
Year 2006
Where KBS
Authors Patrick du Boucher-Ryan, Derek G. Bridge
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