Combinatorial optimization based recommender systems.
Conference paper
Roda, F., Liberti, L. and Raimondi, F. 2009. Combinatorial optimization based recommender systems. Cologne Twente Workshop 2009: 8th Cologne-Twente Workshop on Graphs and Combinatorial Optimization. Paris 02 - 04 Jun 2009 pp. 175-179
Type | Conference paper |
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Title | Combinatorial optimization based recommender systems. |
Authors | Roda, F., Liberti, L. and Raimondi, F. |
Abstract | Recommender systems exploit a set of established user preferences to predict topics or products that a new user might like [2]. Recommender systems have become an important research area in the field of information retrieval. Many approaches have been developed in recent years and the interest is very high. However, despite all the efforts, recommender systems are still in need of further development and more advanced recommendation modelling methods, as these systems must take into account additional requirements on user preferences, such as geographic search and social networking. This fact, in particular, implies that the recommendation must be much more “personalized” than it used to be. |
Research Group | Foundations of Computing group |
SensoLab group | |
Artificial Intelligence group | |
Research Group on Development of Intelligent Environments | |
Conference | Cologne Twente Workshop 2009: 8th Cologne-Twente Workshop on Graphs and Combinatorial Optimization |
Page range | 175-179 |
Publication process dates | |
Deposited | 29 Apr 2010 |
Output status | Published |
Web address (URL) | http://www.lix.polytechnique.fr/ctw09/ctw09-proceedings.pdf |
Language | English |
File |
https://repository.mdx.ac.uk/item/829v1
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