2019 · 23 citations · 27 references
Social SciencesSocial PsychologySocial InfluenceSocial PerceptionStereotypingExpertise DiscoverySocial JudgmentSocial MediaSocial Network AnalysisCrowdsourced Expertise AssessmentExpertise Proficiency LevelsSocial Network-based Expertise InferenceSocial Validation
The main mission of LinkedIn is to connect 610M+ members to the right opportunities. To find the right opportunities, LinkedIn needs to understand each member's skill set and their expertise levels accurately. However, estimating members' skill expertise is challenging due to lack of ground-truth. So far, the industry relied on either hand-created small scale data, or large scale social gestures containing a lot of social bias (e.g., endorsements).
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Opinion Mining and Sentiment Analysis
Bo Pang, Lillian Lee · Foundations and Trends® in Information Retrieval · 2008 · 6.2K citations
Zhe Cao, Tao Qin, Tie‐Yan Liu et al. · 2007 · 2K citations
Analysis of recommendation algorithms for e-commerce
Badrul Sarwar, George Karypis, Joseph A. Konstan et al. · 2000 · 1.8K citations · Full text