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 Guangzhong Sun

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Average citations per article6.83
Citation Count41
Publication count6
Publication years2013-2017
Available for download4
Average downloads per article170.00
Downloads (cumulative)680
Downloads (12 Months)680
Downloads (6 Weeks)119
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6 results found Export Results: bibtexendnoteacmrefcsv

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1 published by ACM
August 2017 RecSys Challenge '17: Proceedings of the Recommender Systems Challenge 2017
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 19,   Downloads (12 Months): 74,   Downloads (Overall): 74

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The 2017 ACM RecSys Challenge focuses on the problem of job recommendations on XING in a cold-start scenario. In this paper we describe our solution as well as some practical lessons learned from the competition. We model this task as a binary classification problem. Negative candidate selection is the first ...
Keywords: recommendation systems, recsys challenge 2017, content-based filtering, job recommendations, cold start

2 published by ACM
August 2017 ACM Transactions on Intelligent Systems and Technology (TIST) - Survey Paper, Regular Papers and Special Issue: Social Media Processing: Volume 8 Issue 6, September 2017
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 15,   Downloads (12 Months): 135,   Downloads (Overall): 135

Full text available: PDFPDF
Microblogging Web sites, such as Twitter and Sina Weibo, have become popular platforms for socializing and sharing information in recent years. Spammers have also discovered this new opportunity to unfairly overpower normal users with unsolicited content, namely social spams. Although it is intuitive for everyone to follow legitimate users, recent ...
Keywords: Spammer detection, microblog, social network

3
April 2017 WWW '17 Companion: Proceedings of the 26th International Conference on World Wide Web Companion
Publisher: International World Wide Web Conferences Steering Committee
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 71,   Downloads (12 Months): 349,   Downloads (Overall): 349

Full text available: PDFPDF
To overcome data sparsity problem, we propose a cross domain recommendation system named CCCFNet which can combine collaborative filtering and content-based filtering in a unified framework. We first introduce a factorization framework to tie CF and content-based filtering together. Then we find that the MAP estimation of this framework can ...
Keywords: neural network, cross domain, recommendation system

4
April 2017 WWW '17 Companion: Proceedings of the 26th International Conference on World Wide Web Companion
Publisher: International World Wide Web Conferences Steering Committee
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 14,   Downloads (12 Months): 122,   Downloads (Overall): 122

Full text available: PDFPDF
For shopkeepers, one of their biggest common concerns is whether their business will thrive or fail in the future. With the development of new ways to collect business data, it is possible to leverage multiple domains' knowledge to build an intelligent model for business assessment. In this paper, we discuss ...
Keywords: data mining, location-based services, restaurant survival analysis

5
May 2013 IEEE Transactions on Parallel and Distributed Systems: Volume 24 Issue 5, May 2013
Publisher: IEEE Press
Bibliometrics:
Citation Count: 1

The multiple longest common subsequence (MLCS) problem, which is related to the measurement of sequence similarity, is one of the fundamental problems in many fields. As an NP-hard problem, finding a good approximate solution within a reasonable time is important for solving large-size problems in practice. In this paper, we ...
Keywords: Approximation algorithms,Parallel algorithms,Heuristic algorithms,Memory architecture,Complexity theory,Data structures,DNA,SMP cluster,Multiple longest common subsequence problem (MLCS),skyline problem,branch-and-bound search,progressive algorithm,distributed memory architecture

6
January 2013 IEEE Transactions on Knowledge and Data Engineering: Volume 25 Issue 1, January 2013
Publisher: IEEE Educational Activities Department
Bibliometrics:
Citation Count: 33

This paper presents a smart driving direction system leveraging the intelligence of experienced drivers. In this system, GPS-equipped taxis are employed as mobile sensors probing the traffic rhythm of a city and taxi drivers' intelligence in choosing driving directions in the physical world. We propose a time-dependent landmark graph to ...
Keywords: Trajectory,Roads,Vehicles,Global Positioning System,Routing,Cities and towns,Meteorology,driving behavior,Spatial databases and GIS,data mining,GPS trajectory,driving directions



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