@inproceedings{691e0e3317e041c8a6a25ab55ddd5653,
title = "Collaborative recommending using formal concept analysis",
abstract = "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.",
author = "\{Du Boucher-Ryan\}, Patrick and Derek Bridge",
year = "2006",
doi = "10.1007/978-1-84628-226-3\_16",
language = "English",
isbn = "184628225X",
series = "Research and Development in Intelligent Systems XXII - Proceedings of AI 2005, the 25th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence",
publisher = "Springer London",
pages = "205--218",
booktitle = "Research and Development in Intelligent Systems XXII - Proceedings of AI 2005, the 25th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence",
address = "United Kingdom",
note = "25th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, AI 2005 ; Conference date: 12-12-2005 Through 14-12-2005",
}