Fengli Xu

schoolTsinghua Universitybar_chart#2587 Global Rank

Total Papers

HCI Rank

#2587

Research Areas

Years Active

Recent Publications

Bringing Friends into the Loop of Recommender Systems: An Exploratory Study

The recommender system (RS), as a computer-supported information filtering system, is ubiquitous and influences what we eat, watch, or even like. In online RS, interactions between users and the system form a feedback loop: users take actions based on the recommendations provided by RS, and RS updates its recommendati…

CHI '215th+ AuthorOnline Learning & MOOC Platforms +1

Learning from Home: A Mixed-Methods Analysis of Live Streaming Based Remote Education Experience in Chinese Colleges during the COVID-19 Pandemic

The COVID-19 global pandemic and resulted lockdown policies have forced education in nearly every country to switch from a traditional co-located paradigm to a pure online “distance learning from home” paradigm. Lying in the center of this learning paradigm shift is the emergence and wide adoption of distance communic…

CSCW '203rd AuthorSocial Support, Donation, and Money

Understanding the Role of Intermediaries in Online Social E-commerce: An Exploratory Study of Beidian

Social e-commerce, as a new form of social computing based marketing platforms, utilizes existing real-world social relationships for promotions and sales of products. It has been growing rapidly in recent years and attracted tens of millions of users in China. A key group of actors who enable market transactions on t…

CSCW '191st AuthorEconomic encounters

“I Think You’ll Like It”: Modelling the Online Purchase Behavior in Social E-commerce

Understanding the roles of social factors in online purchase behavior has been a long standing research problem. The recently emerging social e-commerce platforms leverage the stimulated word-of-mouth effect to promote the sales of items, which offers a peek into the complex interplay between the social influence and…

CSCW '181st AuthorUrban Spaces

Understanding Motivations behind Inaccurate Check-ins

Check-in data from social networks provide researchers a unique opportunity to model human dynamics at scale. However, it is unclear how indicative these check-in traces are of real human mobility. Prior work showed that a significant portion of Foursquare check-ins did not match with the physical mobility patterns of…

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