Analysis of User Preference Algorithm Recommendation Mechanism in News Communication

User Preference-oriented Collaborative Recommendation Algorithm in e-commerce

Collaborative recommendation is a key issue today in e-commerce, which helps users find the information of products which they are interested in from the mass of information. Aiming at the problem in an insufficient personalization of e-commerce recommendation system , a user preference-oriented network model is established in the paper. Related theories and techniques of clustering are used to...

Effective Mechanism for Social Recommendation of News

Recommendation systems represent an important tool for news distribution on the Internet. In this work we modify a recently proposed social recommendation model in order to deal with no explicit ratings of users on news. The model consists of a network of users which continually adapts in order to achieve an efficient news traffic. To optimize network’s topology we propose different stochastic ...

Context-Aware User-Driven News Recommendation

A Personalized News Recommendation using User Location and News Contents

Personalized news article recommendation provides interesting articles to a specific user based on the preference of the user. With increasing use of hand-held devices, the interests of users are not influenced only by news contents, but also by their location. Therefore, in this paper, we propose a novel topic model to incorporate user location into a user preference for the location-based per...

Analyzing User Preference for Social Image Recommendation

With the incredibly growing amount of multimedia data shared on the social media platforms, recommender systems have become an important necessity to ease users’ burden on the information overload. In such a scenario, extensive amount of heterogeneous information such as tags, image content, in addition to the user-to-item preferences, is extremely valuable for making effective recommendations....