Paper-Conference

TriRank: Review-aware Explainable Recommendation by Modeling Aspects
Most existing collaborative filtering techniques have focused on modeling the binary relation of users to items by extracting from user …
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VELDA: relating an image tweet's text and images
Image tweets are becoming a prevalent form of social media, but little is known about their content - textual and visual - and the …
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Exploiting Timelines to Enhance Multi-document Summarization
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Comment-based multi-view clustering of web 2.0 items
Clustering Web 2.0 items (i.e., web resources like videos, images) into semantic groups benefits many applications, such as organizing …
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New and improved: modeling versions to improve app recommendation
Existing recommender systems usually model items as static – unchanging in attributes, description, and features. However, in …
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Predicting the popularity of web 2.0 items based on user comments
In the current Web 2.0 era, the popularity of Web resources fluctuates ephemerally, based on trends and social interest. As a result, …
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Chinese Informal Word Normalization: an Experimental Study
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Exploiting Discourse Analysis for Article-Wide Temporal Classification
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Mining Scientific Terms and their Definitions: A Study of the ACL Anthology
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Mining Informal Language from Chinese Microtext: Joint Word Recognition and Segmentation
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