Publication

Book Chapter:

  • Ifada, Noor & Nayak, Richi (2015). Do-Rank: DCG Optimization for Learning-to-Rank in Tag-based Item Recommendation Systems. In Cao, T., Lim, E.-P., Zhou, Z.-H., Ho, T.-B., Cheung, D., & Motoda, H. (Eds.) Advances in Knowledge Discovery and Data Mining. Springer-Verlag Berlin Heidelberg, Berlin, pp. 510-521. Download: [Publisher: Springer], [Repository: ePrints (free)]

Journal Article

  • Ifada, Noor & Nayak, Richi (2014). A two-stage item recommendation method using probabilistic ranking with reconstructed tensor model. Lecture Notes in Computer Science : User Modeling, Adaptation, and Personalization, 8538, pp. 98-110. Download: [Publisher: Springer], [Repository: ePrints (free)]

Conference Paper

  • Ifada, Noor & Nayak, Richi (2016). How relevant is the irrelevant data: Leveraging the tagging data for a learning-to-rank model. In Proceedings of The Ninth ACM International Conference on Web Search and Data mining – WSDM 2016, ACM New York, San Francisco, California, US, pp. 23-32. Download: [Publisher: ACM], [Repository: ePrints (free)]
  • Ifada, Noor & Nayak, Richi (2014). An efficient tagging data interpretation and representation scheme for item recommendation. In Proceedings of the Twelfth Australasian Data Mining Conference – AusDM 2014, 27-28 November 2014, Queensland University of Technology, Gardens Point Campus, Brisbane, Australia. Awarded as The Best Paper on Research-Track. Download: [Publisher: ACS], [Repository: ePrints (free)]
  • Ifada, Noor (2014). A tag-based personalized item recommendation system using tensor modeling and topic model approaches. In Proceedings of the 37th International ACM SIGIR Conference on Research & Development in Information Retrieval – SIGIR ’14, ACM New York, NY, USA, Gold Coast, Queensland, Australia, p. 1280. Download: [Publisher: ACM], [Repository: ePrints (free)]
  • Ifada, Noor & Nayak, Richi (2014). Tensor-based item recommendation using probabilistic ranking in social tagging systems. In Chung, Chin-Wan, Broder, Andrei, Shim, Kyuseok, & Suel, Torsten (Eds.) In Proceedings of the Companion Publication of the 23rd International Conference on World Wide Web Companion, ACM, Seoul, Republic of Korea, pp. 805-810. Download: [Publisher: ACM], [Repository: ePrints (free)]
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