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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 ...

    Kanika Narang, Yitong Song, Alexander Schwing in Data Mining and Knowledge Discovery (2021)

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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...

    Yitong Pang, Yiming Zhang, Jianing Tong in Knowledge Science, Engineering and Managem… (2020)

  3. 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...

    Yitong Meng, **nyan Dai, **ao Yan, James Cheng in Advances in Information Retrieval (2020)

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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...

    Zhongsheng Li, Qiuhong Li, Yimin Liu in Database Systems for Advanced Applications (2018)

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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...

    Yitong Huang, Steve Benford, Hilde Hendrickx in Persuasive Technology: Development and Imp… (2017)

  6. 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...

    Yitong Li, Chuan Shi, Huidong Zhao in Machine Learning and Knowledge Discovery i… (2016)

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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...

    Yitong Li, Chuan Shi, Philip S. Yu, Qing Chen in Web-Age Information Management (2014)

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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,...

    Yitong Wang, Yurong Zhao, Zhuoxiang Zhao in Advanced Data Mining and Applications (2013)

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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...

    Tianshu Peng, Craig Struthers, Jianwu Zhe, Guangming Liu in Information and Automation (2011)

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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...

    Yitong Wang, **aofei Chen, **aojun Feng in Advanced Data Mining and Applications (2010)

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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...

    Yitong Wang, **aojun Feng in Advanced Data Mining and Applications (2009)