Skip to main content

Ranking People by Integrating Professional Capability, Sociability and Time Decaying Effect

  • Conference paper
  • First Online:
  • 1882 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8597))

Abstract

In this paper, we propose a model which is designed for the ranking of people who are of a same working domain. Our model measures their ranks comprehensively. It calculates their rank-scores from two aspects: one aspect is about their sociability, which can be represented by the links connected to them from other related people, the other one is about the achievements completed by them, e.g., the achievements of a scientist can be measured by the quality of books and papers published by him/her. Our model also takes the decaying effect of time into consideration, because achievements would probably be forgotten by people or might become obsolete after a long time period, consequently the related rank-scores would be decayed along with time. Our experiments showed that our rank list is time sensitive and more meaningful in the situation when we want to get people ranked according to how much people are recognized and remembered by others at a specific time point.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Page, L., Brin, S., Motwani, R., Winograd, T.: The pagerank citation ranking: bringing order to the web (1999)

    Google Scholar 

  2. Jeh, G., Widom, J.: Scaling personalized web search. In: Proceedings of the 12th International Conference on World Wide Web, pp. 271–279. ACM (2003)

    Google Scholar 

  3. Dubey, H., Roy, B.: An improved page rank algorithm based on optimized normalization technique. Int. J. Comput. Sci. Inf. Technol. 2(5), 2183–2188 (2011)

    Google Scholar 

  4. Berkhin, P.: Bookmark-coloring algorithm for personalized pagerank computing. Internet Math. 3(1), 41–62 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  5. Fujiwara, Y., Nakatsuji, M., Shiokawa, H., Mishima, T., Onizuka, M.: Efficient ad-hoc search for personalized pagerank. In: Proceedings of the 2013 International Conference on Management of Data, pp. 445–456. ACM (2013)

    Google Scholar 

  6. Nie, Z., Zhang, Y., Wen, J.R., Ma, W.Y.: Object-level ranking: bringing order to web objects. In: Proceedings of the 14th International Conference on World Wide Web, pp. 567–574. ACM (2005)

    Google Scholar 

  7. Balmin, A., Hristidis, V., Papakonstantinou, Y.: Objectrank: authority-based keyword search in databases. In: Proceedings of the Thirtieth International Conference on Very Large Data Bases-Volume 30, VLDB Endowment, pp. 564–575 (2004)

    Google Scholar 

  8. Rode, H., Serdyukov, P., Hiemstra, D., Zaragoza, H.: Entity ranking on graphs: studies on expert finding (2007)

    Google Scholar 

  9. Chakrabarti, S.: Dynamic personalized pagerank in entity-relation graphs. In: Proceedings of the 16th International Conference on World Wide Web, pp. 571–580. ACM (2007)

    Google Scholar 

  10. Venetis, P., Gonzalez, H., Jensen, C.S., Halevy, A.: Hyper-local, directions-based ranking of places. Proc. VLDB Endow. 4(5), 290–301 (2011)

    Article  Google Scholar 

  11. Qi, Hc, Huang, Dc, Zhevg, Y.: An improved pagerank algorithm with time feedbacking. J. Zhejiang Univ. Technol. 33(3), 272 (2005)

    Google Scholar 

  12. Guo, Y.Z., Ramamohanarao, K., Park, L.A.: Personalized pagerank for web page prediction based on access time-length and frequency. In: IEEE/WIC/ACM International Conference on Web Intelligence, pp. 687–690. IEEE (2007)

    Google Scholar 

  13. Yang, K.W., Huh, S.Y.: Automatic expert identification using a text categorization technique in knowledge management systems. Expert Syst. Appl. 34(2), 1445–1455 (2008)

    Article  Google Scholar 

  14. Wikipedia: Forgetting curve. http://en.wikipedia.org/wiki/Forgetting_curve

  15. Loftus, G.R.: Evaluating forgetting curves. J. Exp. Psychol. Learn. Mem. Cogn. 11(2), 397 (1985)

    Article  Google Scholar 

Download references

Acknowledgement

This research was supported by the National Basic Research 973 Program of China under Grant No. 2012CB316201, the National Natural Science Foundation of China under Grant Nos. 61033007, 61003060 and the Fundamental Research Funds for the Central Universities under Grant Nos. N100704001, 130404015.

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Hongguo Yang or Derong Shen .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Yang, H., Shen, D., Kou, Y., Nie, T., Yu, G. (2014). Ranking People by Integrating Professional Capability, Sociability and Time Decaying Effect. In: Chen, Y., et al. Web-Age Information Management. WAIM 2014. Lecture Notes in Computer Science(), vol 8597. Springer, Cham. https://doi.org/10.1007/978-3-319-11538-2_38

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-11538-2_38

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11537-5

  • Online ISBN: 978-3-319-11538-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics