L
Liangjie Hong
Researcher at LinkedIn
Publications - 60
Citations - 4439
Liangjie Hong is an academic researcher from LinkedIn. The author has contributed to research in topics: Recommender system & Topic model. The author has an hindex of 23, co-authored 57 publications receiving 3784 citations. Previous affiliations of Liangjie Hong include Yahoo! & Lehigh University.
Papers
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Proceedings ArticleDOI
Empirical study of topic modeling in Twitter
Liangjie Hong,Brian D. Davison +1 more
TL;DR: It is shown that by training a topic model on aggregated messages the authors can obtain a higher quality of learned model which results in significantly better performance in two real-world classification problems.
Proceedings ArticleDOI
Predicting popular messages in Twitter
TL;DR: It is shown that the method can successfully predict messages which will attract thousands of retweets with good performance and formulate the task into a classification problem and study two of its variants by investigating a wide spectrum of features based on the content of the messages.
Proceedings ArticleDOI
Discovering geographical topics in the twitter stream
TL;DR: An algorithm is presented by modeling diversity in tweets based on topical diversity, geographical diversity, and an interest distribution of the user by exploiting sparse factorial coding of the attributes, thus allowing it to deal with a large and diverse set of covariates efficiently.
Detection of Harassment on Web 2.0
TL;DR: This paper uses a supervised learning approach for harassment that employs content features, sentiment features, and contextual features of documents and achieves significant improvements over several baselines, including Term Frequency- Inverse Document Frequency (TFIDF) approaches.
Proceedings ArticleDOI
Beyond clicks: dwell time for personalization
TL;DR: A novel method to compute accurate dwell time based on client-side and server-side logging is described and how to normalize dwell time across different devices and contexts is demonstrated.