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 Hengshu Zhu

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Average citations per article5.68
Citation Count176
Publication count31
Publication years2011-2017
Available for download15
Average downloads per article612.00
Downloads (cumulative)9,180
Downloads (12 Months)2,815
Downloads (6 Weeks)406
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34 results found Export Results: bibtexendnoteacmrefcsv

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1 published by ACM
September 2018 ACM Transactions on Management Information Systems (TMIS): Volume 9 Issue 3, September 2018
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 117,   Downloads (12 Months): 117,   Downloads (Overall): 117

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Person-Job Fit is the process of matching the right talent for the right job by identifying talent competencies that are required for the job. While many qualitative efforts have been made in related fields, it still lacks quantitative ways of measuring talent competencies as well as the job’s talent requirements. ...
Keywords: Recruitment analysis, joint representation learning

2 published by ACM
June 2018 SIGIR '18: The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 65,   Downloads (12 Months): 251,   Downloads (Overall): 251

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The wide spread use of online recruitment services has led to information explosion in the job market. As a result, the recruiters have to seek the intelligent ways for Person-Job Fit, which is the bridge for adapting the right job seekers to the right positions. Existing studies on Person-Job Fit ...
Keywords: neural network, person-job fit, recruitment analysis

3
August 2017 IJCAI'17: Proceedings of the 26th International Joint Conference on Artificial Intelligence
Publisher: AAAI Press
Bibliometrics:
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
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 50,   Downloads (12 Months): 831,   Downloads (Overall): 1,089

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Point-of-Interest (POI) demand modeling in urban regions is critical for many applications such as business site selection and real estate investment. While some efforts have been made for the demand analysis of some specific POI categories, such as restaurants, it lacks systematic means to support POI demand modeling. To this ...
Keywords: human mobility, point-of-interest, region demand

5 published by ACM
August 2017 KDD '17: Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 12,   Downloads (12 Months): 278,   Downloads (Overall): 429

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The study of career development has become more important during a time of rising competition. Even with the help of newly available big data in the field of human resources, it is challenging to prospect the career development of talents in an effective manner, since the nature and structure of ...
Keywords: career development, career path modeling, multi-task learning, ranking, survival analysis

6
March 2017 World Wide Web: Volume 20 Issue 2, March 2017
Publisher: Kluwer Academic Publishers
Bibliometrics:
Citation Count: 0

Traditionally, research about social user profiling assumes that users share some similar interests with their followees. However, it lacks the studies on what topic and to what extent their interests are similar. Our study in online sharing sites reveals that besides shared interests between followers and followees, users do maintain ...
Keywords: Collaborative filtering, Information filtering, Social and behavioral sciences, Social recommendation, User profiling

7 published by ACM
August 2016 KDD '16: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Publisher: ACM
Bibliometrics:
Citation Count: 14
Downloads (6 Weeks): 22,   Downloads (12 Months): 229,   Downloads (Overall): 584

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The emergence of Location-based Social Network (LBSN) services provides a wonderful opportunity to build personalized Point-of-Interest (POI) recommender systems. Although a personalized POI recommender system can significantly facilitate users' outdoor activities, it faces many challenging problems, such as the hardness to model user's POI decision making process and the difficulty ...
Keywords: matrix factorization, point-of-interest, recommendation

8 published by ACM
August 2016 KDD '16: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 10,   Downloads (12 Months): 95,   Downloads (Overall): 314

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Recruitment market analysis provides valuable understanding of industry-specific economic growth and plays an important role for both employers and job seekers. With the rapid development of online recruitment services, massive recruitment data have been accumulated and enable a new paradigm for recruitment market analysis. However, traditional methods for recruitment market ...
Keywords: latent variable model, recruitment market, trend analysis

9 published by ACM
August 2016 KDD '16: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Publisher: ACM
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 14,   Downloads (12 Months): 80,   Downloads (Overall): 236

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With the high mobility of talent, it becomes critical for the recruitment team to find the right talent from the right source in an efficient manner. The prevalence of Online Professional Networks (OPNs), such as LinkedIn, enables the new paradigm for talent recruitment and job search. However, the dynamic and ...
Keywords: people analytics, talent circle detection

10 published by ACM
August 2016 KDD '16: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Publisher: ACM
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 7,   Downloads (12 Months): 76,   Downloads (Overall): 211

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Days on Market (DOM) refers to the number of days a property is on the active market, which is an important measurement of market liquidity in real estate industry. Indeed, at the micro level, DOM is not only a special concern of house sellers, but also a useful indicator for ...
Keywords: days on market, multi-task learning, real estate

11 published by ACM
August 2016 KDD '16: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Publisher: ACM
Bibliometrics:
Citation Count: 5
Downloads (6 Weeks): 17,   Downloads (12 Months): 128,   Downloads (Overall): 401

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With recent advances in mobile and sensor technologies, a large amount of efforts have been made on developing intelligent applications for taxi drivers, which provide beneficial guide and opportunity to improve the profit and work efficiency. However, limited scopes focus on the latent social interaction within cab drivers, and corresponding ...
Keywords: mobile data mining, social influence, taxi trajectories

12
June 2016 Knowledge and Information Systems: Volume 47 Issue 3, June 2016
Publisher: Springer-Verlag New York, Inc.
Bibliometrics:
Citation Count: 1

Many of today's online news Web sites have enabled users to specify different types of emotions (e.g., angry or shocked) they have after reading news. Compared with traditional user feedbacks such as comments and ratings, these specific emotion annotations are more accurate for expressing users' personal emotions. In this paper, ...
Keywords: Sentiment analysis, Social emotions, Topic models

13
December 2015 WI-IAT '15: Proceedings of the 2015 IEEE / WIC / ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) - Volume 01
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 0

How to discover potential users of new released products is an important task in marketing campaigns, especially for companies have many established users. Indeed, transfer learning is a natural choice for addressing such problem, which can leverage the user data from historical products (i.e., auxiliary domains) for recommendation of new ...

14
November 2015 ICDM '15: Proceedings of the 2015 IEEE International Conference on Data Mining (ICDM)
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 1

Discovering the determinants of job change and predicting the individual job change occasion are essential approaches for understanding the professional careers of human. However, with the evolution of labor division and globalization, modern careers become more self-directed and dynamic, which makes job change occasion difficult to predict. Fortunately, the emerging ...

15 published by ACM
August 2015 KDD '15: Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Publisher: ACM
Bibliometrics:
Citation Count: 9
Downloads (6 Weeks): 11,   Downloads (12 Months): 100,   Downloads (Overall): 838

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Mixed land use refers to the effort of putting residential, commercial and recreational uses in close proximity to one another. This can contribute economic benefits, support viable public transit, and enhance the perceived security of an area. It is naturally promising to investigate how to rank real estate from the ...
Keywords: real estate ranking, functional diversity, mixed-land using, human mobility, urban geography

16
July 2015 IJCAI'15: Proceedings of the 24th International Conference on Artificial Intelligence
Publisher: AAAI Press
Bibliometrics:
Citation Count: 1

Tuning hyper-parameters for large-scale matrix factorization (MF) is very time consuming and sometimes unacceptable. Intuitively, we want to tune hyper-parameters on small sub-matrix sample and then exploit them into the original large-scale matrix. However, most of existing MF methods are scale-variant, which means the optimal hyperparameters usually change with the ...

17
July 2015 World Wide Web: Volume 18 Issue 4, July 2015
Publisher: Kluwer Academic Publishers
Bibliometrics:
Citation Count: 3

With the explosive development of social networks, there are excessive amount of user-generated contents available on social media platforms. Indeed, in social networks, it is now a big challenge to promote the right information to the right audiences at the right time. To this end, in this paper, we propose ...
Keywords: Mention mechanism, Recommender system, Social media marketing, Twitter, Ranking SVM

18 published by ACM
December 2014 ACM Transactions on Intelligent Systems and Technology (TIST) - Special Sections on Diversity and Discovery in Recommender Systems, Online Advertising and Regular Papers: Volume 5 Issue 4, January 2015
Publisher: ACM
Bibliometrics:
Citation Count: 28
Downloads (6 Weeks): 15,   Downloads (12 Months): 161,   Downloads (Overall): 971

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Recent advances in mobile devices and their sensing capabilities have enabled the collection of rich contextual information and mobile device usage records through the device logs. These context-rich logs open a venue for mining the personal preferences of mobile users under varying contexts and thus enabling the development of personalized ...
Keywords: Context aware, mobile user, personalized recommendation

19
December 2014 ICDM '14: Proceedings of the 2014 IEEE International Conference on Data Mining
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 1

Technology prospecting is a process to evaluate the potential business values of high tech companies from the technology perspective. In this paper, we provide a new view-angle to understand technology prospecting by studying the evolving distributions of technologies in the companies. Specifically, we first exploit topic models to learn technological ...
Keywords: Patent Mining, Technology Prospecting, Topic Modeling, Hype Cycle

20
December 2014 ICDM '14: Proceedings of the 2014 IEEE International Conference on Data Mining
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 2

Many of today's online news websites have enabled users to specify different types of emotions (e.g., Angry and shocked) they have after reading news. Compared with traditional user feedbacks such as comments and ratings, these specific emotion annotations are more accurate for expressing users' personal emotions. In this paper, we ...



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