國立清華大學

資訊工程學系

Department Of Computer Science

National Tsing Hua University

專題演講

SEMINAR

主 講 人：Dr. Alvin Chin          

SPEAKER  (Xpress Internet Services, Microsoft Devices Group at Microsoft)

題    目：Recommending Content and People

TOPIC    Through Mobile Social Networks

時    間：103年9月4日(星期四) 上午10:00~11:00

DATE

地    點：台達館601 室

PLACE        

                             連絡人：王浩全教授

敬請踴躍參加!!

摘要:  Today, we are becoming flooded with more and more information, we are busy, and we crave for information that is fast and easy to obtain. How to match the right content and right people with ourselves? This is the goal of recommender systems, however, most are usually based on user profile and homophily (similar characteristics). The results of recommendation systems might be ok, but they are not exactly in real-time or very personalized, because they do not take into account context that includes social, location and mobile (SoLoMo). People that we encounter and connect with, around physical resources such as conferences, provide opportunities for extending our social networks from offline to online which we call mobile social networks. In this talk, I will discuss about our application and system called Find & Connect for connecting people from offline to online and how we can recommend people based on physical proximity and homophily. This can be extended to recommending activities and events from learning about past user behaviour using an application called LeXiang. In addition, I will discuss about how an online environment such as a group shopping website can help recommend shops offline using spatial and temporal context.  Finally, I will discuss about content recommendations from the mobile web and how we can use big data to create personalized web content recommendations that are more relevant, interesting and surprising to the user.