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| Content Provider | Semantic Scholar |
|---|---|
| Author | Chamiel, Gil Pagnucco, Maurice |
| Copyright Year | 2009 |
| Abstract | A challenge for preference based recommender systems is to elicit user preferences in an accurate and efficient manner. Eliciting preferences from the user in the form of a query that is then used to filter items from a database can result in a coarse recommendation with numerous results returned. The problem lies in the user's knowledge concerning the items among which they are searching. Unless the user is a domain expert, their preferences are likely to be expressed in a vague manner and so vague results (in the form of irrelevant alternatives) are returned. On the other hand, the advent of the world wide web has delivered an abundance of data at our fingertips. Information gathered from the web, reduced to structured ontologies, can prove useful in focussing preference elicitation mechanisms. In this paper we present a preference elicitation process which allows users to communicate their preferences in a simple manner, through examples presented to them. The system then makes use of an ontology model, based on expert information and social web resources. It elicits the user's preferences guided by this ontology in an interactive and dynamic manner. We show that this leads to more effective recommendations. We evaluate our work through empirical experiments and discuss the results in terms of preference elicitation coverage as well as the prediction accuracy of the preference model. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://ceur-ws.org/Vol-532/paper6.pdf |
| Alternate Webpage(s) | http://www.cse.unsw.edu.au/~gilc/papers/chamiel-pagnucco-rsweb09.pdf |
| Alternate Webpage(s) | http://ls13-www.cs.tu-dortmund.de/homepage/RSWEB/papers/Chamiel.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
