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Recommending News With Twitter A Survey Study

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Recommend News with Twitter - A Survey Study ∗
ABSTRACT
This paper is a survey study of recent researches on Twitter, in particularly the field of recommendation system and user profile. Twitter is a social network service which has become the hotspot in both industry and academic research recently. With large amount of user and the asymmetric friend rela- tionship, the users on Twitter actually forms an interesting social network. Also, the short nature of tweets(the status that users posted on Twitter) and the freedom that Twitter grants for users ensured some good property of the tweets such as real-time and broadness of topics. Researchers has been trying to extract information from tweets or model- ing users for recommendation purpose. This paper will go through some work in this area and analyze these methods. Moreover, this paper provides some thought for future re- search direction based on these attempts.
Categories and Subject Descriptors
H.4 [Information Systems Applications]: Miscellaneous General Terms
Algorithms, Experimentation
Keywords
Recommender System, Twitter, News
1. INTRODUCTION
The phrase social network is used to describe the network services in which the content is mainly provided on user- driven basis. With more than 883 million total registered accounts and 232 million monthly active users, Twitter is one of the largest yet hottest social network on this planet. Not only under the focus of capital market and industry, Twitter and its users are hot

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