Shantala Devi Patil1
, Aditi Sunil Deshpande2
, Keerthi Chandra P3
, Komala M4
, Madhushree T5
Section:Survey Paper, Product Type: Journal Paper
Volume-07 ,
Issue-14 , Page no. 502-504, May-2019
CrossRef-DOI:
https://doi.org/10.26438/ijcse/v7si14.502504
Online published on May 15, 2019
Copyright © Shantala Devi Patil, Aditi Sunil Deshpande, Keerthi Chandra P, Komala M, Madhushree T . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
View this paper at
Google Scholar |
DPI Digital Library
- IEEE Citation
- MLA Citation
- APA Citation
- BibTex Citation
- RIS Citation
IEEE Style Citation: Shantala Devi Patil, Aditi Sunil Deshpande, Keerthi Chandra P, Komala M, Madhushree T, “Point-of-interest Recommendation in Location-Based Social Networks,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.14, pp.502-504, 2019.
MLA Style Citation: Shantala Devi Patil, Aditi Sunil Deshpande, Keerthi Chandra P, Komala M, Madhushree T "Point-of-interest Recommendation in Location-Based Social Networks." International Journal of Computer Sciences and Engineering 07.14 (2019): 502-504.
APA Style Citation: Shantala Devi Patil, Aditi Sunil Deshpande, Keerthi Chandra P, Komala M, Madhushree T, (2019). Point-of-interest Recommendation in Location-Based Social Networks. International Journal of Computer Sciences and Engineering, 07(14), 502-504.
BibTex Style Citation:
@article{Patil_2019,
author = {Shantala Devi Patil, Aditi Sunil Deshpande, Keerthi Chandra P, Komala M, Madhushree T},
title = {Point-of-interest Recommendation in Location-Based Social Networks},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {07},
Issue = {14},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {502-504},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1185},
doi = {https://doi.org/10.26438/ijcse/v7i14.502504}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i14.502504}
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1185
TI - Point-of-interest Recommendation in Location-Based Social Networks
T2 - International Journal of Computer Sciences and Engineering
AU - Shantala Devi Patil, Aditi Sunil Deshpande, Keerthi Chandra P, Komala M, Madhushree T
PY - 2019
DA - 2019/05/15
PB - IJCSE, Indore, INDIA
SP - 502-504
IS - 14
VL - 07
SN - 2347-2693
ER -
In today`s world, location based social networks are mainly used for recommending point of interest. The behaviour of users is mainly arriving at a POI location and these are influenced by their friends and it`s also based on their individual preference. Social influence in social networks can be used by businesses to lure more customers. Depending on the categories of POIs, different target users have a different impact on different categories. This paper selects the POIs which have more influence on the target user by providing a POI score. The main aim is to satisfy target user’s need and to promote business locations (POIs). Based on the score, businesses can look to expand their impact scope.
location based social networks; location promotion; POI location
[1] Li G, Chen S, Feng J, et al. Efficient location-aware influence maximization[C] ACM SIGMOD 2014: 87-98.
[2] Bao J, Zheng Y, Mokbel M F. Location-based and preference-aware recommendation using sparse geo-social networking data[C]. International Conference on Advances in Geographic Information Systems. ACM, 2012:199-208.
[3] Sarwat M, Levandoski J J, Eldawy A, et al. LARS*: An efficient and scalable location-aware recommender system [J]. IEEE Transactions on Knowledge and Data Engineering, 2014, 26(6): 1384-1399.
[4] Zhu W Y, Peng W C, Chen L J, et al. Modelling user mobility for location promotion in location-based social networks[C] ACM SIGKDD 2015: 1573-1582.
[5] Fei Yu, Zhijun Li, Shouxu Jiang, Shirong Lin, et al. Point-of-interest Recommendation for Location Promotion in Location-based Social Networks. IEEE Conference on Mobile Data Management.
