User Preference Based Mobile Application Recommendation
Vipinkatara1, Prashant K. Gupta2, Madhurima Hooda3, Saurabh Gupta4
1Vipinkatara, Amity University, Noida (Uttar Pradesh), India.
2Prashant K. Gupta, Amity University, Noida (Uttar Pradesh), India.
3Madhurima Hooda, Amity University, Noida (Uttar Pradesh), India.
4Saurabh Gupta, Dr. Akhilesh Das Gupta Institute of Technology & Management, GGSIP, India.
Manuscript received on 23 November 2019 | Revised Manuscript received on 04 December 2019 | Manuscript Published on 14 December 2019 | PP: 162-165 | Volume-9 Issue-1S November 2019 | Retrieval Number: A10341191S19/2019©BEIESP | DOI: 10.35940/ijitee.A1034.1191S19
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Application recommendation is one of the larger scales and sophisticated recommendation system currently exists. In this research work, we devised an approach which will deal with suggesting application based on users click on a particular application. The approach described in this paper is efficient and with less memory requirement than other traditional methods. This paper also includes the details about the implementation of the approach with User Interface. The paper also provides the details that how it can be implemented on a large scale. The approach is implemented in a mobile-based platform with react native support. The main objective of this paper is to describe an approach, which will be efficient and completely based on users data. The main objective of an Application Recommendation to recommend applications to increase user experience and recommend application based on their needs. Companies like Google, Apple, Samsung etc. are implementing it also.
Keywords: Mobile Application, User Preference, Recommender Systems.
Scope of the Article: Mobile Applications and Services for IoT