- Volume 8 Issue 2
The information system in which users can utilize to control and to get the filtered information efficiently has appeared. Content-based filtering can reflect content information, and it provides recommendation by comparing the feature information about item and the profile of preference. This has the shortcoming of the varying accuracy of prediction depending on teaming method. This paper suggests the discovery of preference through learning the profile for the content-based filtering. This study improves the accuracy of recommendation through learning the profile according to granting the preference of 6 levels to estimated value in order to solve the problem. Finally, to evaluate the performance of the proposed method, this study applies to MovieLens dataset, and it is compared with the performance of previous studies.
- A. Ansari, S. Essegaier, and R. Rkohli, "Internet Recommendation Systems," Jour. of Marketing Research, Vol.37, pp.363-375, 2000. https://doi.org/10.1509/jmkr.37.3.363.18779
- D. M. Pennock and E. Horvitz, "Collaborative Filtering by Personality Diagnosis: A Hybrid Memory and Model based Approach," Proc. of the Conf. on Uncertainty in AI, 2000.
- S. J. Ko and J. H. Lee, "User Preference Mining through Collaborative Filtering and Content Based Filtering in Recommender System," LNCS 2455, pp.244-253, 2002.
- D. D. Lewis and M. Ringuette, "Comparison of Two Learning Algorithms for Text Categorization," Proc. of the Symposium on Document Analysis and Information Retrieval, 1994.
- K. Y. Jung, "User Preference through Bayesian Categorization for Recommendation," LNAI 4099, pp.112-119, 2006.
- Y. H. Li and A. K. Jain, "Classification of Text Documents," Jour. of the Computer, Vol.41, No.8, pp.537-546, 1998. https://doi.org/10.1093/comjnl/41.8.537
- A. McCallum and K. Nigram, "A Comparison of Event Models for Naïve Bayes Text Classification," Proc. of the AAAI-98 Workshop on Learning for Text Categorization, 1998.
- 정경용, "혼합 필터링과 연관 이웃 마이닝을 이용한 개인화 아이템 추천 기법", 인하대학교 박사학위논문, 2005.
- P. Melville, R. J. Mooney, and R. Nagarajan, "Content-Boosted Collaborative Filtering for Improved Recommendations," Proc. of the National Conf. on Artificial Intelligence, pp.187-192, 2002.
- Personalized Dietary Nutrition Contents Recommendation using Hybrid Filtering for Managing Health vol.11, pp.11, 2011, https://doi.org/10.5392/JKCA.2011.11.11.001
- Applying Rating Score's Reliability of Customers to Enhance Prediction Accuracy in Recommender System vol.13, pp.7, 2013, https://doi.org/10.5392/JKCA.2013.13.07.379