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標題Title: A Big Data Model supporting Information Recommendation in Social Networks
作者Authors: 陳鈺惠
上傳單位Department: 資訊工程系
上傳時間Date: 2013-6-11
上傳者Author: 陳鈺惠
審核單位Department: 資訊工程系
審核老師Teacher: 許子衡
檔案類型Categories: 研究生論文報告Thesis
關鍵詞Keyword: social networks; information recommendation; data model
摘要Abstract: As information systems are becoming sophisticated and
mobile, cloud computing, social networking services are now very
popular to people, the amount of data is rapidly increasing every
year. Big data is data which should be analyzed by a company or
an organization, but has not been tried to be analyzed or could not
have been processed by current technology. In this paper, we
introduce a big data model for recommender systems using social
network data. The model incorporates factors related to social
networks and can be applied to information recommendation with
respect to various social behaviors that can increase the reliability
of the recommended information. The big data model has the
flexibility to be expanded to incorporate more sophisticated
additional factors if needed. The experimental results using it in
information recommendation and using map-reduce to process it
show that it is a feasible model to be used for information
recommendation.

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2013_6_b71a11cc.ppt 1726Kb ppt 102 44
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