A Collaborative Filtering Recommendation Based on User Profile and User Behavior in Online Social Networks

au.link.externalLink [Full Text] (https://ieeexplore.ieee.org/abstract/document/6978207/)
dc.contributor.author Lu, Yang
dc.contributor.author Gopalakrishnan, Anilkumar Kothalil
dc.date.accessioned 2018-06-27T06:15:27Z
dc.date.available 2018-06-27T06:15:27Z
dc.date.issued 2014
dc.description.abstract This paper aims to present and discuss the similarity among users in a social network based on CF (Collaborative Filtering) algorithm and SimRank (Similarity Based on Random Walk) algorithm. The CF algorithm used to predict the relationship between users based on the user rating on items (movies and books) and the user’s profile. The SimRank algorithm calculates the similarity among users through finding the nearest neighbors for each user in the social network. At last, the combination of these two algorithms will be used to get “people may interest each other” from users’ database. In the experimental analysis, a data set “DouBan” (a data set is collected from a Chinese website) will be used and demonstrates the performance of the improved technique with a website. And the website will be developed to show the recommended processing of the proposed algorithm. Finally, the recommendation accuracy of the proposed method is evaluated by comparing with the existing recommendation algorithms. en_US
dc.format.extent 5 pages en_US
dc.format.mimetype application/pdf en_US
dc.identifier.citation 18th International Computer Science and Engineering Conference (ICSEC 2014), 273-277 en_US
dc.identifier.uri https://repository.au.edu/handle/6623004553/21182
dc.language.iso eng en_US
dc.rights.holder Lu, Yang en_US
dc.rights.holder Gopalakrishnan, Anilkumar Kothalil en_US
dc.subject Collaborative filtering en_US
dc.subject SimRank en_US
dc.subject Social networks en_US
dc.subject Similarity en_US
dc.title A Collaborative Filtering Recommendation Based on User Profile and User Behavior in Online Social Networks en_US
dc.type Text en_US
mods.genre Conference Paper en_US
Excerpt bundle
Now showing 1 - 1 of 1
Thumbnail Image
987.88 KB
Adobe Portable Document Format