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Chapter and Conference Paper
A Potential-Based Node Selection Strategy for Influence Maximization in a Social Network
Social network often serves as a medium for the diffusion of ideas or innovations. The problem of influence maximization which was posed by Domingos and Richardson is stated as: if we can try to convince a sub...
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Chapter and Conference Paper
Combating Link Spam by Noisy Link Analysis
Link Spam has indentified as one of the major obstacles for link-based ranking algorithms of modern search engine since it intently constructs hyperlink structure to help some poor-content pages obtaining unde...
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Chapter and Conference Paper
Sensorless Pressure Control for Special Industrial Applications
An automated pum** controller, which is able to maintain constant pressure in a hydraulics system and will not have any physical contact with the medium, is addressed in this paper. The reason to do some res...
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Chapter and Conference Paper
A Label Propagation-Based Algorithm for Community Discovery in Online Social Networks
With the rapid development of Internet and Web 2.0 applications, many different patterns of online social networks become fashionable all over the world. These sites help people share and exchange information,...
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Chapter and Conference Paper
HRank: A Path Based Ranking Method in Heterogeneous Information Network
Recently, there is a surge of interests on heterogeneous information network analysis. Although evaluating the importance of objects has been well studied in homogeneous networks, it is not yet exploited in he...
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Chapter and Conference Paper
Aspect Mining with Rating Bias
Due to the personalized needs for specific aspect evaluation on product quality, these years have witnessed a boom of researches on aspect rating prediction, whose goal is to extract ad hoc aspects from online...
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Chapter and Conference Paper
Office Workers’ Perceived Barriers and Facilitators to Taking Regular Micro-breaks at Work: A Diary-Probed Interview Study
Research has suggested regular breaks in sedentary office work are important for health, wellbeing and long-term productivity. Although many computerized break reminders exist, few are based on user needs and...
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Chapter and Conference Paper
Modeling and Evaluating MID1 ICAL Pipeline on Spark
Squire Kilometre Array (SKA) project generates almost the hugest data volume in the world. SKA data flow pipelines need almost real-time processing ability, which brings huge challenges to the execution framew...
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Chapter and Conference Paper
Time-Aware Attentive Neural Network for News Recommendation with Long- and Short-Term User Representation
News recommendation is very critical to help users quickly find news satisfying their preferences. Modeling user interests with accurate user representations is a challenging task in news recommendation. Exist...
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Chapter and Conference Paper
PMD: An Optimal Transportation-Based User Distance for Recommender Systems
Collaborative filtering predicts a user’s preferences by aggregating ratings from similar users and thus the user similarity (or distance) measure is key to good performance. Existing similarity measures eithe...
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Article
FuseRec: fusing user and item homophily modeling with temporal recommender systems
Recommender systems can benefit from a plethora of signals influencing user behavior such as her past interactions, her social connections, as well as the similarity between different items. However, existing ...