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ACM Transactions on the Web (TWEB), Volume 12 Issue 1, September 2017

Exploring the Emerging Type of Comment for Online Videos: DanMu
Ming He, Yong Ge, Enhong Chen, Qi Liu, Xuesong Wang
Article No.: 1
DOI: 10.1145/3098885

DanMu, an emerging type of user-generated comment, has become increasingly popular in recent years. Many online video platforms such as have provided the DanMu function. Unlike traditional online reviews such as reviews at...

Adaptive Knowledge Propagation in Web Ontologies
Pasquale Minervini, Volker Tresp, Claudia D'amato, Nicola Fanizzi
Article No.: 2
DOI: 10.1145/3105961

We focus on the problem of predicting missing assertions in Web ontologies. We start from the assumption that individual resources that are similar in some aspects are more likely to be linked by specific relations: this phenomenon is also...

Recommendation in a Changing World: Exploiting Temporal Dynamics in Ratings and Reviews
Yining Liu, Yong Liu, Yanming Shen, Keqiu Li
Article No.: 3
DOI: 10.1145/3108238

Users’ preferences, and consequently their ratings and reviews to items, change over time. Likewise, characteristics of items are also time-varying. By dividing data into time periods, temporal Recommender Systems (RSs) improve...

Activity Recommendation with Partners
Wenting Tu, David W. Cheung, Nikos Mamoulis, Min Yang, Ziyu Lu
Article No.: 4
DOI: 10.1145/3121407

Recommending social activities, such as watching movies or having dinner, is a common function found in social networks or e-commerce sites. Besides certain websites which manage activity-related locations (e.g.,, many items...

Caching to Reduce Mobile App Energy Consumption
Kaushik Dutta, Debra Vandermeer
Article No.: 5
DOI: 10.1145/3125778

Mobile applications consume device energy for their operations, and the fast rate of battery depletion on mobile devices poses a major usability hurdle. After the display, data communication is the second-biggest consumer of mobile device energy....