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- research-articleMay 2019
Generalists and Specialists: Using Community Embeddings to Quantify Activity Diversity in Online Platforms
In many online platforms, people must choose how broadly to allocate their energy. Should one concentrate on a narrow area of focus, and become a specialist, or apply oneself more broadly, and become a generalist? In this work, we propose a principled ...
- research-articleJanuary 2019
Where to Post: Routing Questions to Right Community in Community Question Answering Systems
CODS-COMAD '19: Proceedings of the ACM India Joint International Conference on Data Science and Management of DataPages 136–142https://doi.org/10.1145/3297001.3297018At present, question-answer (QA) sites have become one of the most important sources of information sharing. In order to ease search and categorization, QA sites create communities to discuss a specific topic or interest. As a consequence, a large ...
- research-articleOctober 2015
Recommending Users and Communities in Social Media
ACM Transactions on Knowledge Discovery from Data (TKDD), Volume 10, Issue 2Article No.: 17, Pages 1–27https://doi.org/10.1145/2757282Social media has become increasingly prevalent in the last few years, not only enabling people to connect with each other by social links, but also providing platforms for people to share information and interact over diverse topics. Rich user-generated ...
- research-articleOctober 2013
FRec: a novel framework of recommending users and communities in social media
CIKM '13: Proceedings of the 22nd ACM international conference on Information & Knowledge ManagementPages 1765–1770https://doi.org/10.1145/2505515.2505645In this paper, we propose a framework of recommending users and communities in social media. Given a user's profile, our framework is capable of recommending influential users and topic-cohesive interactive communities that are most relevant to the given ...
- research-articleOctober 2013
Pairwise learning in recommendation: experiments with community recommendation on linkedin
RecSys '13: Proceedings of the 7th ACM conference on Recommender systemsPages 193–200https://doi.org/10.1145/2507157.2507175Many online systems present a list of recommendations and infer user interests implicitly from clicks or other contextual actions. For modeling user feedback in such settings, a common approach is to consider items acted upon to be relevant to the user, ...
- ArticleNovember 2012
A Latent Topic Based Collaborative Filtering Recommendation Algorithm for Web Communities
WISA '12: Proceedings of the 2012 Ninth Web Information Systems and Applications ConferencePages 241–246https://doi.org/10.1109/WISA.2012.41Providing personalized high quality community recommendation for Web community members has become increasingly important. Traditional collaborative filtering methods based on explicit topic associations cannot solve the information sparsity problem. The ...
- ArticleSeptember 2010
Soft-constraint based online LDA for community recommendation
With the number of social communities grows, social community recommendation has gradually become a critical technique for users to efficiently find their favorite communities. Currently a variety of recommendation techniques have been developed, such ...
- ArticleJuly 2009
A community recommendation method based on social networks for web 2.0-based IPTV
Web 2.0-based IPTV is a new Internet Protocol Television (IPTV) infrastructure that allows users to participate in content creation and consumption through Web-based communities that are formed based on user interests. However, there are some ...