Personalized News Recommendation System
Abstract & Details
Research Area
Computer Engineering
Keywords
Personalized Recommendation Algorithm
News Recommendation
Association Rules
Hybrid Collaborative Filtering Algorithm.
Abstract
With the development of network information technology, a lots of news comes into the view of Internet users. We have entered the “information overload" era. So how to find useful information becomes more important. Personalized news recommendation is a technology to find the news that users want to get urgently. It is based on browsing history of many users. Through analysis of their interests, we can realize that the personalized news recommendation for different user. In our system, we propose an improved association rules. This method associates with the collaborative filtering algorithm to form the hybrid recommendation algorithm. Through using this new algorithms, we can generate recommendation lists and realize the Personalized News Recommendation.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Kalpesh M. Waghulde | Pravara's Sir Visvesvarya Institute of Technology, Chincholi |
| 2 | Priyanka P. Yendait | Pravara's Sir Visvesvarya Institute of Technology, Chincholi |
| 3 | Ashwini R. Saindane | Pravara's Sir Visvesvarya Institute of Technology, Chincholi |
| 4 | Deepali A. Khandagale | Pravara's Sir Visvesvarya Institute of Technology, Chincholi |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Waghulde, Kalpesh M., Yendait, Priyanka P., Saindane, Ashwini R., & Khandagale, Deepali A. (2016). Personalized News Recommendation System. International Journal of Advance Research and Innovative Ideas In Education, 2(6), 931-934.
MLA Style
Waghulde, Kalpesh M., et al. "Personalized News Recommendation System." International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 6, 2016, pp. 931-934.
IEEE Style
Kalpesh M. Waghulde, Priyanka P. Yendait, Ashwini R. Saindane, and Deepali A. Khandagale, "Personalized News Recommendation System," International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 6, pp. 931-934, 2016.
Vancouver Style
Waghulde Kalpesh M., Yendait Priyanka P., Saindane Ashwini R., Khandagale Deepali A.. Personalized News Recommendation System. International Journal of Advance Research and Innovative Ideas In Education. 2016;2(6):931-934.
Harvard Style
Waghulde, Kalpesh M., Yendait, Priyanka P., Saindane, Ashwini R., & Khandagale, Deepali A. (2016) 'Personalized News Recommendation System', International Journal of Advance Research and Innovative Ideas In Education, 2(6), pp. 931-934.
Chicago Style
Waghulde, Kalpesh M., et al. "Personalized News Recommendation System." International Journal of Advance Research and Innovative Ideas In Education 2, no. 6 (2016): 931-934.
Turabian Style
Waghulde, Kalpesh M., et al. "Personalized News Recommendation System." International Journal of Advance Research and Innovative Ideas In Education 2, no. 6 (2016): 931-934.
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