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Institutional Repository [SANDBOX]
Technical University of Crete
Technical University of Crete
EN
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EL
| URI | http://purl.tuc.gr/dl/dias/D65DA3FB-F17F-4700-97C2-563FA23EED75 | - |
| Identifier | https://doi.org/10.1504/IJEB.2012.048740 | - |
| Identifier | http://www.inderscienceonline.com/doi/abs/10.1504/IJEB.2012.048740 | - |
| Language | en | - |
| Extent | 19 pages | en |
| Title | Analysing user behaviour in recommender systems | en |
| Creator | Matsatsinis Nikolaos | en |
| Creator | Ματσατσινης Νικολαος | el |
| Creator | Kleanthi Lakiotaki | en |
| Publisher | Inderscience | en |
| Content Summary | Nowadays, recommender systems are considered to be a valuable tool for internet marketing. Multi-criteria user modelling methodologies have been successfully applied to increase recommender systems accuracy. However, modelling user behaviour can be hard and often misleading when only the overall preference rate is considered. Various multi-criteria recommendation algorithms have been proposed that try to achieve high recommendation scores, but the gap from research ideas to real life applications remain large. Hence, studies concerning the understanding and interpretation of theoretical results together with direct application in real user data will improve and establish multi-criteria user profiling techniques as an important tool for recommender systems. In this direction, we analyse movie user profiles as a result of a multi-criteria recommendation methodology, applied to real user data, in order to reveal any hidden aspect of user behaviour that would eventually improve current system’s performance | en |
| Type of Item | Peer-Reviewed Journal Publication | en |
| Type of Item | Δημοσίευση σε Περιοδικό με Κριτές | el |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2015-11-05 | - |
| Date of Publication | 2012 | - |
| Subject | Recommendation systems (Information filtering) | en |
| Subject | Systems, Recommendation (Information filtering) | en |
| Subject | Systems, Recommender (Information filtering) | en |
| Subject | recommender systems information filtering | en |
| Subject | recommendation systems information filtering | en |
| Subject | systems recommendation information filtering | en |
| Subject | systems recommender information filtering | en |
| Bibliographic Citation | K. Lakiotaki, N. Matsatsinis," Analysing user behaviour in recommender systems," Intern. J. of Electronic Business ,vol.10,no.1 ,pp. 1-19,2012.doi:10.1504/IJEB.2012.048740 | en |
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