A Survey on Friendbook Using Semantic based Friend Recommendation System
Abstract & Details
Research Area
Data mining,Android
Keywords
Friend recommendation
mobile sensing
life style
clustering
similarity metric
k-means
Activity Recognition
Social Networks
Pattern Recognition
Abstract
Existing social networking services advise friends to users based on their social graphs, which may not be the most correct to reflect a user’s preferences on friend selection in real life. In this system a novel semantic based friend recommendation system for social networks, which advice the friends to users based on their life styles instead of social graphs. By taking advantage of sensor-rich smartphones, Friendbook expose life styles of users from usercentric sensor data, measures the similarity of life styles between users, and advice the friends to users if their life styles have high similarity .We further propose a similarity metric to measure the similarity of life styles between users, and calculate users’ impact in terms of life styles with a friend-matching graph. Upon receiving a request, Friendbook gaincoming a list of people with highest recommendation scores to the query user. Finally, Friendbook integrates a feedback mechanism to further improve the recommendation accuracy. The results show that the recommendations accurately reflect the preferences of users in choosing friends.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Sonali Devoram Adsure | SRES COE,Kopargaon |
| 2 | Arati sanjay Arane | SRES COE,Kopargaon |
| 3 | Ashwini Manohar Chavhan | SRES COE,Kopargaon |
| 4 | Rohini Kailas Jagdhane | SRES COE,Kopargaon |
| 5 | Amruta Dilip Pardeshi | SRES COE,Kopargaon |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Adsure, Sonali Devoram, Arane, Arati sanjay, Chavhan, Ashwini Manohar, Jagdhane, Rohini Kailas, & Pardeshi, Amruta Dilip (2015). A Survey on Friendbook Using Semantic based Friend Recommendation System. International Journal of Advance Research and Innovative Ideas In Education, 1(4), 280-286.
MLA Style
Adsure, Sonali Devoram, et al. "A Survey on Friendbook Using Semantic based Friend Recommendation System." International Journal of Advance Research and Innovative Ideas In Education, vol. 1, no. 4, 2015, pp. 280-286.
IEEE Style
Sonali Devoram Adsure, Arati sanjay Arane, Ashwini Manohar Chavhan, Rohini Kailas Jagdhane, and Amruta Dilip Pardeshi, "A Survey on Friendbook Using Semantic based Friend Recommendation System," International Journal of Advance Research and Innovative Ideas In Education, vol. 1, no. 4, pp. 280-286, 2015.
Vancouver Style
Adsure Sonali Devoram, Arane Arati sanjay, Chavhan Ashwini Manohar, Jagdhane Rohini Kailas, Pardeshi Amruta Dilip. A Survey on Friendbook Using Semantic based Friend Recommendation System. International Journal of Advance Research and Innovative Ideas In Education. 2015;1(4):280-286.
Harvard Style
Adsure, Sonali Devoram, Arane, Arati sanjay, Chavhan, Ashwini Manohar, Jagdhane, Rohini Kailas, & Pardeshi, Amruta Dilip (2015) 'A Survey on Friendbook Using Semantic based Friend Recommendation System', International Journal of Advance Research and Innovative Ideas In Education, 1(4), pp. 280-286.
Chicago Style
Adsure, Sonali Devoram, et al. "A Survey on Friendbook Using Semantic based Friend Recommendation System." International Journal of Advance Research and Innovative Ideas In Education 1, no. 4 (2015): 280-286.
Turabian Style
Adsure, Sonali Devoram, et al. "A Survey on Friendbook Using Semantic based Friend Recommendation System." International Journal of Advance Research and Innovative Ideas In Education 1, no. 4 (2015): 280-286.
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