WeBrowse: Leveraging User Clicks for Content Discovery in Communities of a Place

One of the limits of web content discovery tools, let them be recommender systems or content curation tools such as social rating, social bookmarking and other social media, is the scarcity of user input (e.g. rate, submit, share). This problem is even worse in the case of what we call communities o...

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Bibliographic Details
Published in:Proceedings of the ACM on human-computer interaction 2017-12, Vol.1 (CSCW), p.1-24, Article 93
Main Authors: Scavo, Giuseppe, Ben Houidi, Zied, Traverso, Stefano, Teixeira, Renata, Mellia, Marco
Format: Article
Language:English
Subjects:
Collaborative and social computing
Collaborative and social computing systems and tools
Collaborative filtering
Computer Science
Data mining
Human-centered computing
Human-Computer Interaction
Information systems
Information systems applications
Location based services
Networking and Internet Architecture
Spatial-temporal systems
Web log analysis
Web mining
World Wide Web
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Summary:One of the limits of web content discovery tools, let them be recommender systems or content curation tools such as social rating, social bookmarking and other social media, is the scarcity of user input (e.g. rate, submit, share). This problem is even worse in the case of what we call communities of a place: people who study, live or work at the same place. Such people often share common interests but either do not know each other or fail to actively engage in submitting and relaying information. In this paper, we investigate the feasibility of using the aggregated clicks of entire communities of users to passively emulate a content curation service a la Reddit. To this end, we prototype and deploy WeBrowse, a content curation service based on the processing of raw HTTP logs. Evaluation based on our deployments demonstrates feasibility at scale while respecting user privacy. The majority of WeBrowse's users welcome the quality of content it promotes.
ISSN:2573-0142
2573-0142
DOI:10.1145/3134728