Regresar

Recommendation systems: A focus on filtering techniques

Abstract:

A recommended system (SR) seeks to pbkp_redict the preference that a user would give to a product in use, provides personalized information for the identification of articles, generating suggestions that are beneficial and agile for the search of items or activities required. The user can accept the recommendations of information that is stored in a database, and generates new suggestions. These systems are used in the most prominent platforms such as websites and social networks. These information filtering techniques focus on the properties and main characteristics of articles and users. This paper presents an analysis of the recommended systems and the components that intervene in the development of their functions-Select the focus of the filtering techniques, the classification of the SR, the options of filtering techniques and the latest conclusions in the analysis of the recommended systems.