A vertex similarity index for better personalized recommendation
نویسندگان
چکیده
منابع مشابه
Personalized recommendation with corrected similarity
Personalized recommendation attracts a surge of interdisciplinary researches. Especially, similarity based methods in applications of real recommendation systems achieve great success. However, the computations of similarities are overestimated or underestimated outstandingly due to the defective strategy of unidirectional similarity estimation. In this paper, we solve this drawback by leveragi...
متن کاملA New Similarity Measure Based on Item Proximity and Closeness for Collaborative Filtering Recommendation
Recommender systems utilize information retrieval and machine learning techniques for filtering information and can predict whether a user would like an unseen item. User similarity measurement plays an important role in collaborative filtering based recommender systems. In order to improve accuracy of traditional user based collaborative filtering techniques under new user cold-start problem a...
متن کاملA Personalized Recommendation Algorithm on Integration of Item Semantic Similarity and Item Rating Similarity
With the rapid development of the Internet and the wide application of e-commerce, recommender system has become a necessity and collaborative filtering is the most successful technology for building recommendation systems. There are many problems in the recommendation approaches, such as data sparsity problem, the issue of new items and scalability issues. Item-based collaborative filtering al...
متن کاملA Personalized Recommendation Model for Tourism Products
Electronic Commerce has becomes an important means for tourism enterprises to face the increasing competition. How to provide the personalized service for customers is an important issue to raise the service level of tourism. Through analyzing characteristics of tourism, a Personalized Recommendation Model is proposed at the basis of user’s rating feature. It has following features: (1) Pre-pro...
متن کاملPersonalized Food Recommendation
In this paper a food recommender system giving general and personalized advice is described. The system is based on semi-formal knowledge of personal nutrition gained in a previous project (Food4Me). This project implements a manual expert knowledge based approach using a decision tree for recommending optimal adaptions to the individual nutrition behavior. The system was evaluated in a Proof-o...
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: Physica A: Statistical Mechanics and its Applications
سال: 2017
ISSN: 0378-4371
DOI: 10.1016/j.physa.2016.09.057