Location,time and preference aware restaurant recommendation method
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2016.
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| Médium: | Diplomová práce |
| Jazyk: | English |
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BRAC University
2017
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| On-line přístup: | http://hdl.handle.net/10361/7596 |
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10361-7596 |
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10361-75962022-01-26T10:13:18Z Location,time and preference aware restaurant recommendation method Habib, Md. Ahsan Rakib, Md. Abdur Hasan, Dr. Muhammad Abul Department of Computer Science and Engineering, BRAC University Location,time and preference Restaurant recommendation Location based social networks (LBSN) This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2016. Cataloged from PDF version of thesis report. Includes bibliographical references (page 40-44). Location based social networks (LBSN) introduce a platform to understand users ‘preference via analyzing the ir check-in history. Such data are being used in the literature for wide variety of location aware recommendation systems. In this thesis, we propose an oval location, time and preference aware restaurant recommendation method by using checkers-in history, user’s current spatial location and current time. In the proposed method, each user’s check-in history is modeled individually to discover the preference etrend by using a logistic function. At the same time, each restaurant’s popularity is calculated using user-restaurant mutual reinforcement learning. The restaurant recommendation scores are computed by considering four key factors, namely, i) user’s preference score ii) the distance of avenue; iii) the time of a day; and iv) popularity of avenue. Each of these key factors is modeled carefully to estimate ear ealistic recommendations core for a restaurant in a given geospatial range. We tested our method using an available data set. The experimental results confirmed the effectiveness of the proposed method. Md. Ahsan Habib Md. Abdur Rakib B. Computer Science and Engineering 2017-01-16T04:36:00Z 2017-01-16T04:36:00Z 2016 2016-08 Thesis ID 12101077 ID 12101036 http://hdl.handle.net/10361/7596 en BRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 44 pages application/pdf BRAC University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Location,time and preference Restaurant recommendation Location based social networks (LBSN) |
| spellingShingle |
Location,time and preference Restaurant recommendation Location based social networks (LBSN) Habib, Md. Ahsan Rakib, Md. Abdur Location,time and preference aware restaurant recommendation method |
| description |
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2016. |
| author2 |
Hasan, Dr. Muhammad Abul |
| author_facet |
Hasan, Dr. Muhammad Abul Habib, Md. Ahsan Rakib, Md. Abdur |
| format |
Thesis |
| author |
Habib, Md. Ahsan Rakib, Md. Abdur |
| author_sort |
Habib, Md. Ahsan |
| title |
Location,time and preference aware restaurant recommendation method |
| title_short |
Location,time and preference aware restaurant recommendation method |
| title_full |
Location,time and preference aware restaurant recommendation method |
| title_fullStr |
Location,time and preference aware restaurant recommendation method |
| title_full_unstemmed |
Location,time and preference aware restaurant recommendation method |
| title_sort |
location,time and preference aware restaurant recommendation method |
| publisher |
BRAC University |
| publishDate |
2017 |
| url |
http://hdl.handle.net/10361/7596 |
| work_keys_str_mv |
AT habibmdahsan locationtimeandpreferenceawarerestaurantrecommendationmethod AT rakibmdabdur locationtimeandpreferenceawarerestaurantrecommendationmethod |
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1814308196529995776 |