Emotional properties of latent factors in an image recommender system
نویسندگان
چکیده
In this paper we analyze the relations between the latent factors with high variance description and affective parameters in an image recommender system. Using the matrix factorization approach we identify the main two factors in the user-item rating database. We exploit the affective metadata related to each item to identify relations between the main factors and the affective metadata. Results show that the first latent factor is strongly related with the valence and dominance while the arousal does not appear to be related. The second factor, however, shows no relation with the affective parameters.
منابع مشابه
A social recommender system based on matrix factorization considering dynamics of user preferences
With the expansion of social networks, the use of recommender systems in these networks has attracted considerable attention. Recommender systems have become an important tool for alleviating the information that overload problem of users by providing personalized recommendations to a user who might like based on past preferences or observed behavior about one or various items. In these systems...
متن کاملAn Effective Algorithm in a Recommender System Based on a Combination of Imperialist Competitive and Firey Algorithms
With the rapid expansion of the information on the Internet, recommender systems play an important role in terms of trade and research. Recommender systems try to guess the user's way of thinking, using the in-formation of user's behavior or similar users and their views, to discover and then propose a product which is the most appropriate and closest product of user's interest. In the past dec...
متن کاملEvolutionary User Clustering Based on Time-Aware Interest Changes in the Recommender System
The plenty of data on the Internet has created problems for users and has caused confusion in finding the proper information. Also, users' tastes and preferences change over time. Recommender systems can help users find useful information. Due to changing interests, systems must be able to evolve. In order to solve this problem, users are clustered that determine the most desirable users, it pa...
متن کاملارائه ی معماری سیستم توصیه گر پژوهشی براساس عوامل زمینه ای شناسایی شده در حوزه علوم پزشکی
Introduction: Today, researchers prefer to have most of their required information at their fingertips. Scholarly or research paper recommender systems are intelligent systems that aim to recommend the most appropriate scientific papers or resources based on users' needs. Past studies have shown that contextual information such as users', system' and environment' contexts influence the quality ...
متن کاملAn ontological hybrid recommender system for dealing with cold start problem
Recommender Systems ( ) are expected to suggest the accurate goods to the consumers. Cold start is the most important challenge for RSs. Recent hybrid s combine and . We introduce an ontological hybrid RS where the ontology has been employed in its part while improving the ontology structure by its part. In this paper, a new hybrid approach is proposed based on the combination of demog...
متن کامل