Paper-Conference

Scrutinizing Mobile App Recommendation: Identifying Important App-Related Indicators
Among several traditional and novel mobile app recommender techniques that utilize a diverse set of app-related features (such as an …
Cite DOI URL
Interactive Second Language Learning from News Websites
Cite DOI URL
Keywords, phrases, clauses and sentences: topicality, indicativeness and informativeness at scales
Cite DOI URL
#mytweet via Instagram: Exploring User Behaviour across Multiple Social Networks
We study how users of multiple online social networks (OSNs) employ and share information by studying a common user pool that use six …
Cite DOI URL
Scholarly Document Information Extraction using Extensible Features for Efficient Higher Order Semi-CRFs
We address the tasks of recovering bibliographic and document structure metadata from scholarly documents. We leverage higher order …
Cite DOI URL
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 …
Cite DOI URL
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 …
Cite
Exploiting Timelines to Enhance Multi-document Summarization
Cite DOI URL
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 …
Cite DOI URL
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 …
Cite DOI URL