General Mathematics

   

Modelo de Recomendación Basado en Conocimiento Empleando Números SVN

Authors: Roddy Cabezas Padilla, José González Ruiz, Milton Villegas Alava, Maikel Leyva Vázquez

Knowledge based recommender systems despite its usefulness and high impact have some shortcomings. Among its limitations are lack of more flexible models, the inclusion of indeterminacy of the factors involved for computing a global similarity. In this paper, a new knowledge based recommendation models based SVN number is presented. It includes data base construction, client profiling, products filtering and generation of recommendation. Its implementation makes possible to improve reliability and including indeterminacy in product and user profile. An illustrative example is shown to demonstrate the model applicability.

Comments: 6 Pages.

Download: PDF

Submission history

[v1] 2018-05-29 05:42:03

Unique-IP document downloads: 8 times

Vixra.org is a pre-print repository rather than a journal. Articles hosted may not yet have been verified by peer-review and should be treated as preliminary. In particular, anything that appears to include financial or legal advice or proposed medical treatments should be treated with due caution. Vixra.org will not be responsible for any consequences of actions that result from any form of use of any documents on this website.

Add your own feedback and questions here:
You are equally welcome to be positive or negative about any paper but please be polite. If you are being critical you must mention at least one specific error, otherwise your comment will be deleted as unhelpful.

comments powered by Disqus