Recommending Combinations of Appointment Places from Hive based Big Data

BOHYUN, KIM and MINSOO, LEE and SUJOUNG, OH (2015) Recommending Combinations of Appointment Places from Hive based Big Data. In: Second International Conference on Advances In Computing, Control And Networking - ACCN 2015, 28-29 August, 2015, Bangkok, Thailand.

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Abstract

Since the development of web, we can use various type data such as movie, music, and social network data. These data is very useful to make recommendation system. For this reason, several recommendation system studies used the web data to construct outstanding system. In this paper, we proposed a method to recommend combinations of appointment places based on web data. Our system generates ranking to extract best store, and use location data to recommend suitable store. By considering these two main features, the proposed system recommend best and suitable store to user to recommend combinations of appointment places. Our system provides a chance to design combinations of appointment places with highquality easily

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Combinations of appointment places, Hive, Recommendation system, Yelp
Depositing User: Mr. John Steve
Date Deposited: 27 Apr 2019 12:27
Last Modified: 27 Apr 2019 12:27
URI: http://publications.theired.org/id/eprint/1650

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