Weighted hybrid technique for recommender system
نویسندگان
چکیده
منابع مشابه
Hybrid Recommender System Based on Variance Item Rating
K-nearest neighbors (KNN) based recommender systems (KRS) are among the most successful recent available recommender systems. These methods involve in predicting the rating of an item based on the mean of ratings given to similar items, with the similarity defined by considering the mean rating given to each item as its feature. This paper presents a KRS developed by combining the following app...
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 کاملHybrid Recommender System for Personalized Poi Selection
An important phase of trip planning is the selection of relevant points of interest. Many recommender systems have been developed to assist in travel planning, but only few of them take into account user’s preferences. This paper presents preliminary results of the hybrid recommender system which first, filters out the points of interest according to user preferences and second, predicts the at...
متن کاملHybrid Recommender System for Joining Virtual Communities
The variety of social networks and virtual communities has created problematic for users of different ages and preferences; in addition, since the true nature of groups is not clearly outlined, users are uncertain about joining various virtual groups and usually face the trouble of joining the undesired ones. As a solution, in this study, we introduced the hybrid community recommender system wh...
متن کاملClustering Approach for Hybrid Recommender System
Recommender system is a kind of web intelligence techniques to make a daily information filtering for people. In this work1, Clustering techniques have been applied to the item-based collaborative filtering framework to solve the cold start problem. It also suggests a way to integrate the content information into the collaborative filtering. Extensive experiments have been conducted on MovieLen...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Physics: Conference Series
سال: 2017
ISSN: 1742-6588,1742-6596
DOI: 10.1088/1742-6596/930/1/012050