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The Study on Intelligent Decision and Personalized Recommendation of Job Information Service

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Advances in Computer Communication and Computational Sciences

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 760))

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Abstract

With the rapid development of the Internet, the vast majority of college students have been applying for jobs online mainly. For the applicants, while the upside of the Internet is to provide considerable and various job information, it may take them a great deal of time and energy to pick the fitting post from as well. Currently, job-hunting Web sites demonstrate all sorts of information through integration and classification, requiring users to manually retrieve to find the best for them. Combining the key technology of personalized recommendation service and online job-seeking of graduates, the paper designs and implements the employment information recommendation service for college students. The concrete procedures include adopting recommendation algorithm and similarity calculating method that cater to job information based on data mining, intelligent decisions, analysis of users’ preference and information integration and recommendation and testing in terms of certain situations or data features. It achieves the desired recommendation result.

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Acknowledgements

The work is supported by grants from National Science and Technology Supporting Program of China (2014BAH10F00) and University Research Program of Communication University of China (3132015XNG1522). We thank the reviewers and editor for their helpful comments.

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Authors and Affiliations

  1. Communication University of China, Beijing, China

    Chen Li & Cheng Yang

Authors
  1. Chen Li
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  2. Cheng Yang
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Corresponding author

Correspondence to Chen Li .

Editor information

Editors and Affiliations

  1. Department of Mathematics & Computer Science, University of Missouri, St. Louis, Missouri, USA

    Sanjiv K. Bhatia

  2. Computer Science Engineering Department, ABES Engineering College, Ghaziabad, India

    Shailesh Tiwari

  3. Department of Computer Science & Engineering, Motilal Nehru National Institute of Technology, Allahabad, Uttar Pradesh, India

    Krishn K. Mishra

  4. Department of Computer Science & Engineering, ABES Engineering College, Ghaziabad, India

    Munesh C. Trivedi

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Li, C., Yang, C. (2019). The Study on Intelligent Decision and Personalized Recommendation of Job Information Service. In: Bhatia, S., Tiwari, S., Mishra, K., Trivedi, M. (eds) Advances in Computer Communication and Computational Sciences. Advances in Intelligent Systems and Computing, vol 760. Springer, Singapore. https://doi.org/10.1007/978-981-13-0344-9_23

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