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 Le Wu

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Bibliometrics: publication history
Average citations per article2.00
Citation Count12
Publication count6
Publication years2016-2017
Available for download3
Average downloads per article490.67
Downloads (cumulative)1,472
Downloads (12 Months)1,012
Downloads (6 Weeks)183
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1 published by ACM
June 2018 SIGIR '18: The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval
Publisher: ACM
Citation Count: 1
Downloads (6 Weeks): 131,   Downloads (12 Months): 352,   Downloads (Overall): 352

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Collaborative filtering(CF) is one of the most popular techniques for building recommender systems. To alleviate the data sparsity issue in CF, social recommendation has emerged by leveraging social influence among users for better recommendation performance. In these systems, users' preferences over time are determined by their temporal dynamic interests as ...
Keywords: attention, collaborative filtering, recurrent network, social influence, social network, social recommendation

2 published by ACM
November 2017 CIKM '17: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management
Publisher: ACM
Citation Count: 2
Downloads (6 Weeks): 19,   Downloads (12 Months): 109,   Downloads (Overall): 109

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Diagnosing students' knowledge proficiency, i.e., the mastery degrees of a particular knowledge point in exercises, is a crucial issue for numerous educational applications, e.g., targeted knowledge training and exercise recommendation. Educational theories have converged that students learn and forget knowledge from time to time. Thus, it is necessary to track ...
Keywords: dynamic modeling, educational priors, explanatory power, knowledge diagnosis

August 2017 IJCAI'17: Proceedings of the 26th International Joint Conference on Artificial Intelligence
Publisher: AAAI Press
Citation Count: 0

Matrix Factorization (MF) is among the most widely used techniques for collaborative filtering based recommendation. Along this line, a critical demand is to incrementally refine the MF models when new ratings come in an online scenario. However, most of existing incremental MF algorithms are limited by specific MF models or ...

4 published by ACM
August 2017 KDD '17: Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Publisher: ACM
Citation Count: 1
Downloads (6 Weeks): 22,   Downloads (12 Months): 423,   Downloads (Overall): 626

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Crowdfunding is an emerging Internet fundraising mechanism by raising monetary contributions from the crowd for projects or ventures. In these platforms, the dynamics, i.e., daily funding amount on campaigns and perks (backing options with rewards), are the most concerned issue for creators, backers and platforms. However, tracking the dynamics in ...
Keywords: crowdfunding, dynamics, hierarchical time series

June 2017 IEEE Transactions on Knowledge and Data Engineering: Volume 29 Issue 6, June 2017
Publisher: IEEE Educational Activities Department
Citation Count: 7

Sociologists have long converged that the evolution of a S ocial N etworking S ervice(SNS) is driven by the interplay between users’ preferences (reflected in user-item interaction behavior) and the social network structure (reflected in user-user interaction behavior). Nevertheless, traditional approaches either modeled these two kinds of behaviors in isolation or ...

6 published by ACM
December 2016 ACM Transactions on the Web (TWEB): Volume 10 Issue 4, December 2016
Publisher: ACM
Citation Count: 0
Downloads (6 Weeks): 10,   Downloads (12 Months): 127,   Downloads (Overall): 384

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With the booming popularity of online social networks like Twitter and Weibo, online user footprints are accumulating rapidly on the social web. Simultaneously, the question of how to leverage the large-scale user-generated social media data for personal credit scoring comes into the sight of both researchers and practitioners. It has ...
Keywords: social data, consumer finance, user profiling, P2P lending, Personal credit scoring, features

April 2016 DASFAA 2016: Proceedings, Part II, of the 21st International Conference on Database Systems for Advanced Applications - Volume 9643
Publisher: Springer-Verlag New York, Inc.
Citation Count: 0

Recent years have witnessed the prosperity of a new type of real-time user-generated comment, or so-called DanMu, in many recent online video platforms. These DanMu-enabled video platforms present scrolling marquee comments overlaid directly on top of the videos by synchronizing these comments to specific playback times. In this paper, we ...

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