Recommendation Based on Personal Preference
نویسنده
چکیده
This chapter first defines a recommendation process, which helps the user to select products from a large number of candidates according to personal preference. Though both conventional database and fuzzy database have been used for this task, none of the two provide a proper solution. A new approach is introduced, which is easy to design and maintain, and provides well justified results. The central idea of this approach is to interpret user preference as consisting of multiple criteria, each of which is relative to available data. The procedure introduced here forms a membership function at run-time according to user request and available data, then use it to rank the candidates.
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