Sentiment analysis for points of interest : a point of interest recommendation system based on “W4” recommendation model

How to profile users based on Point of Interests (POI), and how to provide customized services to users have become practical social issues with huge potential commercial values. This project was to address the issues through implementing the “W4” POI recommendation model discussed in Yuan et al (20...

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Bibliographic Details
Main Author: Li, Pengfei
Other Authors: Cong Gao
Format: Final Year Project (FYP)
Language:English
Published: 2016
Subjects:
Online Access:http://hdl.handle.net/10356/66825
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author Li, Pengfei
author2 Cong Gao
author_facet Cong Gao
Li, Pengfei
author_sort Li, Pengfei
collection NTU
description How to profile users based on Point of Interests (POI), and how to provide customized services to users have become practical social issues with huge potential commercial values. This project was to address the issues through implementing the “W4” POI recommendation model discussed in Yuan et al (2012), focusing on the four aspects of POI recommendation including the user (Who), the location and region (Where), the day and time (When) and the activity (What). This report discussed motivations of the project and various design process including scope finalization, project schedule and task assignments. The report further detailed concrete implementation considerations during each of the implementation phase, from preprocessing the raw data, constructing recommendation model, setting up prediction application server, designing interface, to integrating front-to-end communication of the system. The report also included recommendations for future implementations and enhancements. Lastly, the project delivered a web-based demonstration system with interactive user interface to provide the POI recommendation services.
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spelling ntu-10356/668252023-03-03T20:51:15Z Sentiment analysis for points of interest : a point of interest recommendation system based on “W4” recommendation model Li, Pengfei Cong Gao School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computer applications How to profile users based on Point of Interests (POI), and how to provide customized services to users have become practical social issues with huge potential commercial values. This project was to address the issues through implementing the “W4” POI recommendation model discussed in Yuan et al (2012), focusing on the four aspects of POI recommendation including the user (Who), the location and region (Where), the day and time (When) and the activity (What). This report discussed motivations of the project and various design process including scope finalization, project schedule and task assignments. The report further detailed concrete implementation considerations during each of the implementation phase, from preprocessing the raw data, constructing recommendation model, setting up prediction application server, designing interface, to integrating front-to-end communication of the system. The report also included recommendations for future implementations and enhancements. Lastly, the project delivered a web-based demonstration system with interactive user interface to provide the POI recommendation services. Bachelor of Engineering (Computer Science) 2016-04-27T05:23:38Z 2016-04-27T05:23:38Z 2016 Final Year Project (FYP) http://hdl.handle.net/10356/66825 en Nanyang Technological University 39 p. application/pdf
spellingShingle DRNTU::Engineering::Computer science and engineering::Computer applications
Li, Pengfei
Sentiment analysis for points of interest : a point of interest recommendation system based on “W4” recommendation model
title Sentiment analysis for points of interest : a point of interest recommendation system based on “W4” recommendation model
title_full Sentiment analysis for points of interest : a point of interest recommendation system based on “W4” recommendation model
title_fullStr Sentiment analysis for points of interest : a point of interest recommendation system based on “W4” recommendation model
title_full_unstemmed Sentiment analysis for points of interest : a point of interest recommendation system based on “W4” recommendation model
title_short Sentiment analysis for points of interest : a point of interest recommendation system based on “W4” recommendation model
title_sort sentiment analysis for points of interest a point of interest recommendation system based on w4 recommendation model
topic DRNTU::Engineering::Computer science and engineering::Computer applications
url http://hdl.handle.net/10356/66825
work_keys_str_mv AT lipengfei sentimentanalysisforpointsofinterestapointofinterestrecommendationsystembasedonw4recommendationmodel