BuzyBeeNewz: Android Application for News Recommendation

April 2017
Vol-3, Issue-2
Paper ID: 4580
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Engineering
Keywords
News Recommendation Android User Profile User Interest Offline News.
Abstract
Now a days people generally use Android system like in smartphones, tablets etc. in their daily routine. In smartphones people use various applications like whatsapp, facebook, instagram, etc. But today online news reading has become very popular as the web provides access to news articles from millions of sources around the world. A main challenge of news websites is to help users to provide the articles that are interested to read. There has been a lots of demand for development of web search applications for gaining information related to user’s choice. This paper presents the state of ideas, interests and other issues in this context, to provide the need for an improved personalized system. Recommender Systems used for the ‘information overload’ problem by identifying the users interest by creating user profiles, maintaining those profiles to keep assisting the changes in user interests and presenting a set of recent news articles formed as recommendations based on those user profiles.

Author Information

# Name Institute / Affiliation
1 Kalpesh M. Waghulde SVIT, Chincholi
2 Priyanka P. Yendait SVIT, Chincholi
3 Ashwini R. Saindane SVIT, Chincholi
4 Deepali A. Khandagale SVIT, Chincholi
5 Prof. Priyanka S. Aher SVIT, 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., & Aher, Prof. Priyanka S. (2017). BuzyBeeNewz: Android Application for News Recommendation. International Journal of Advance Research and Innovative Ideas In Education, 3(2), 3754-3758.
MLA Style
Waghulde, Kalpesh M., et al. "BuzyBeeNewz: Android Application for News Recommendation." International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 2, 2017, pp. 3754-3758.
IEEE Style
Kalpesh M. Waghulde, Priyanka P. Yendait, Ashwini R. Saindane, Deepali A. Khandagale, and Prof. Priyanka S. Aher, "BuzyBeeNewz: Android Application for News Recommendation," International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 2, pp. 3754-3758, 2017.
Vancouver Style
Waghulde Kalpesh M., Yendait Priyanka P., Saindane Ashwini R., Khandagale Deepali A., Aher Prof. Priyanka S.. BuzyBeeNewz: Android Application for News Recommendation. International Journal of Advance Research and Innovative Ideas In Education. 2017;3(2):3754-3758.
Harvard Style
Waghulde, Kalpesh M., Yendait, Priyanka P., Saindane, Ashwini R., Khandagale, Deepali A., & Aher, Prof. Priyanka S. (2017) 'BuzyBeeNewz: Android Application for News Recommendation', International Journal of Advance Research and Innovative Ideas In Education, 3(2), pp. 3754-3758.
Chicago Style
Waghulde, Kalpesh M., et al. "BuzyBeeNewz: Android Application for News Recommendation." International Journal of Advance Research and Innovative Ideas In Education 3, no. 2 (2017): 3754-3758.
Turabian Style
Waghulde, Kalpesh M., et al. "BuzyBeeNewz: Android Application for News Recommendation." International Journal of Advance Research and Innovative Ideas In Education 3, no. 2 (2017): 3754-3758.

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