A Comparison of recommendation algorithms based on use of linked data and cloud

  • Authors

    • Ankita Ranjan
    • Vinay M
    2018-03-11
    https://doi.org/10.14419/ijet.v7i2.6.10137
  • Recommender system, Linked data, Cloud Service

  • Abstract

    Recommendation generation is a critical need in today's time. With the advent of big data and the increasing number of users, generation of most suitable recommendation is essential. There are many issues already associated with recommendations such as data acquisition, scalability, etc.. Moreover, the users today look to get best recommendations at the minimum effort on their side. Thus it becomes difficult to manage such huge amount of information, extract the needed data and present it to the user with least user involvement. In this research, we surveyed some recommendation algorithms and analyze their applications on an open cloud server which uses linked data to generate automated recommendations.

  • References

    1. [1] Heitmann, Benjamin, and Conor Hayes. "Using Linked Data to Build Open, Collaborative Recommender Systems." AAAI spring symposium: linked data meets artificial intelligence. 2010.

      [2] Huang, Zan, et al. "A graph-based recommender system for digital library." Proceedings of the 2nd ACM/IEEE-CS joint conference on Digital libraries. ACM, 2002.

      [3] Khrouf, Houda, and Raphaël Troncy. "Hybrid event recommendation using linked data and user diversity." Proceedings of the 7th ACM conference on Recommender systems. ACM, 2013.

      [4] Di Noia, Tommaso, et al. "Linked open data to support content-based recommender systems." Proceedings of the 8th International Conference on Semantic Systems. ACM, 2012.

      [5] Ziegler, Cai-Nicolas, et al. "Improving recommendation lists through topic diversification." Proceedings of the 14th international conference on World Wide Web. ACM, 2005.

      [6] Amini, Bahram, Roliana Ibrahim, and Mohd Shahizan Othman. "Discovering the impact of knowledge in recommender systems: A comparative study." arXiv preprint arXiv:1109.0166 (2011).

      [7] Christian Bizer, Tom Heath,Tim Berners-Lee “Linked Data - The Story So Far†Proceedings of the Heath, T., Hepp, M., and Bizer, C. (eds.). Special

      [8] Issue on Linked Data, International Journal on Semantic Web and Information Systems (IJSWIS). http://linkeddata.org/docs/ijswis-special-issue.

      [9] Burke, Robin. "Hybrid recommender systems: Survey and experiments." User modeling and user-adapted interaction 12.4 (2002): 331-370.

      [10] Ms. K. C. Sonawane1, Mrs. S. S. Pondeâ€A Survey on Cloud-Based Remote Venue Recommendation System†Proceedings fromInternational Journal of Advanced Research in Computer and Communication Engineering Vol. 5, Issue 4, April 2016

  • Downloads

  • How to Cite

    Ranjan, A., & M, V. (2018). A Comparison of recommendation algorithms based on use of linked data and cloud. International Journal of Engineering & Technology, 7(2.6), 126-129. https://doi.org/10.14419/ijet.v7i2.6.10137

    Received date: 2018-03-14

    Accepted date: 2018-03-14

    Published date: 2018-03-11