A Hybrid Friend Recommendation Technique Using SVM Based on the Users’ Attributes
نویسندگان
چکیده
Online social networks have attracted millions of users to integrate their daily life into these social media. As an important e-activity, the Friend Recommendation System (FRS) has been designed to help the users exploring new friends with common interests. However, most existing FRS are using simple methods, such as mutual friends, location-based information etc. This paper proposes a hybrid technique utilizing Support Vector Machine (SVM), recommending people in social networks based on users' attributes. With the case study from Tencent Weibo, the proposed method has improved the accuracy of recommendation comparing with two classic algorithms, Naive Bayes and Random Forests. Furthermore, considering nine attributes in FRS, we identified that the acceptance of followers is the most important factor to influence the users decision.
منابع مشابه
Hybrid Adaptive Educational Hypermedia Recommender Accommodating User’s Learning Style and Web Page Features
Personalized recommenders have proved to be of use as a solution to reduce the information overload problem. Especially in Adaptive Hypermedia System, a recommender is the main module that delivers suitable learning objects to learners. Recommenders suffer from the cold-start and the sparsity problems. Furthermore, obtaining learner’s preferences is cumbersome. Most studies have only focused...
متن کاملAutomatic Hashtag Recommendation in Social Networking and Microblogging Platforms Using a Knowledge-Intensive Content-based Approach
In social networking/microblogging environments, #tag is often used for categorizing messages and marking their key points. Also, since some social networks such as twitter apply restrictions on the number of characters in messages, #tags can serve as a useful tool for helping users express their messages. In this paper, a new knowledge-intensive content-based #tag recommendation system is intr...
متن کاملA Profile-based Friend Detection Scheme for Online Social Networks
In past few years, users created friends with every other World Health Organization live or work near them, like neighbor or work place etc. this kind of friendly relationship is named as ancient means of constructing friends or G. Friend referred to as geographical primarily based friends .Now social networking services recommend friends to users based on their social graphs, which may not be ...
متن کاملA Friend Recommendation System Using Users' Information of Total Attributes
Social network services, such as Facebook and Twitter in U.S.A., RenRen, QQ and Weibo in China, have grown substantially in recent years. Friend recommendation is an important emerging social network service component, which expands the networks by actively recommending new potential friends to users. We introduce a new friend recommendation system using a user’s information of total attributes...
متن کاملUse of Semantic Similarity and Web Usage Mining to Alleviate the Drawbacks of User-Based Collaborative Filtering Recommender Systems
One of the most famous methods for recommendation is user-based Collaborative Filtering (CF). This system compares active user’s items rating with historical rating records of other users to find similar users and recommending items which seems interesting to these similar users and have not been rated by the active user. As a way of computing recommendations, the ultimate goal of the user-ba...
متن کامل