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Location Regularization-Based POI Recommendation in Location-Based Social Networks

Lei Guo, Haoran Jiang, Xinhua Wang
<span title="2018-04-09">2018</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/dmr4kpn2yreovpdxpdiqtjcrnu" style="color: black;">Information</a> </i> &nbsp;
In fact, in most location-based social networks, the user's negative preferences are not explicitly observable.  ...  To exploit the geographical characteristics from a location perspective, we then constrain the ranking loss by using a regularization term derived from locations, and assume nearest neighboring POIs are  ...  First, we describe the scenario of POI recommendation in location-based social networks.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/info9040085">doi:10.3390/info9040085</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/s2yel2kdsvf33blmwnxvmb7ehy">fatcat:s2yel2kdsvf33blmwnxvmb7ehy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180726080211/https://res.mdpi.com/def50200f2a9dd6f3b96c6dd1435bc97c7786d05eb6b534697fe204441a6648aa6e1897fd54d3335c1ca290cc452fd2fcc1195d22544a119181e066d20faed7aa12964f07cae2a566b8dd86163fc6109ef770b513cf5da9a768c244c2487d4b46dbef58e1213648173e57161bd3e594a480d750010c0f329e3b248027fd325a086266603a95cc82914e48c3135320678dd7d45c7101c8df598df2e99?filename=&amp;attachment=1" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/63/a2/63a2b27332d52ca906aeaf12269e273abbfc632e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/info9040085"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

User modeling for point-of-interest recommendations in location-based social networks: the state-of-the-art [article]

Shudong Liu
<span title="2017-12-19">2017</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Location-based social networks(LBSNs)allow users to check-in at a physical location and share daily tips on points-of-interest (POIs) with their friends anytime and anywhere.  ...  Depending on which type of LBSNs data was fully utilized in user modeling approaches for POI recommendations, we divide user modeling algorithms into four categories: pure check-in data-based user modeling  ...  Location-based social networks (LBSNs) allow users to check-in and share their locations, tips, and experiences about points-of-interest (POIs) with their friends anytime and anywhere.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1712.06768v1">arXiv:1712.06768v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/nzmsjj6kjzby7ldi3czf6zlkye">fatcat:nzmsjj6kjzby7ldi3czf6zlkye</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200824050620/https://arxiv.org/ftp/arxiv/papers/1712/1712.06768.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/f0/e4/f0e43e247b13d7ac952a34d994a57771a9f31622.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1712.06768v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Network Embedding-Aware Point-of-Interest Recommendation in Location-Based Social Networks

Lei Guo, Haoran Jiang, Xiyu Liu, Changming Xing
<span title="2019-11-04">2019</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/y3fh56bfunh5fgneywwba6d4ke" style="color: black;">Complexity</a> </i> &nbsp;
network and a predefined location network, respectively.  ...  According to the above observations, to well utilize the network information, a neural network-based embedding method (node2vec) is first exploited to learn the user and POI representations from a social  ...  . is recommendation scenario is shown in Figure 2 , which is associated with three central elements: the user check-in data (also known as user-POI check-in matrix), social network, and location network  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2019/3574194">doi:10.1155/2019/3574194</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/yvdlqwr77jahlovqada6e2zs2e">fatcat:yvdlqwr77jahlovqada6e2zs2e</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200211211721/http://downloads.hindawi.com/journals/complexity/2019/3574194.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/00/58/00582d80bad9adb3114079a1b27cdf5a0d71e3d0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2019/3574194"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> hindawi.com </button> </a>

Points-of-interest Recommendation Algorithm Based on LBSN in Edge Computing Environment

Keyan Cao, Jingjing Guo, Gongjie Meng, Haoli Liu, Yefan Liu, Gui Li
<span title="">2020</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
With the advancement of the Internet of Everything era and the popularity of mobile devices, Location-based Social Networks (LBSN) have penetrated people's lives.  ...  INTRODUCTION With the rapid development of Internet technology and the continuous popularization of mobile communication devices, Location-based Social Networks (LBSN) have penetrated people's lives.  ...  Location selection is crucial in geo-social network, Zhong et al. [14] proposed the problem of sample location selection to maximize the influence of distance perception in the geo-social network.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.2979922">doi:10.1109/access.2020.2979922</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zaacjuvo35hohceprw54xsqnoq">fatcat:zaacjuvo35hohceprw54xsqnoq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201108180657/https://ieeexplore.ieee.org/ielx7/6287639/8948470/09031336.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/6c/63/6c631712824a9a3de659bdd354bf32ebaaaa6862.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.2979922"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a>

Context-aware Point-of-Interest Recommendation Using Tensor Factorization with Social Regularization

Lina Yao, Quan Z. Sheng, Yongrui Qin, Xianzhi Wang, Ali Shemshadi, Qi He
<span title="">2015</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ibcfmixrofb3piydwg5wvir3t4" style="color: black;">Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval - SIGIR &#39;15</a> </i> &nbsp;
Point-of-Interest (POI) recommendation is a new type of recommendation task that comes along with the prevalence of locationbased social networks in recent years.  ...  In addition, we fuse users' social relations as regularization terms of the factorization to improve the recommendation accuracy.  ...  CONCLUSION In this paper, we propose a tensor non-negative decomposition based Point-of-Interest (POI) recommendation approach using users' social constraints as regularization.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2766462.2767794">doi:10.1145/2766462.2767794</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/sigir/YaoSQWSH15.html">dblp:conf/sigir/YaoSQWSH15</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rpc3rfcafrfvnmuephuebjes3u">fatcat:rpc3rfcafrfvnmuephuebjes3u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190218122717/https://static.aminer.org/pdf/20170130/pdfs/sigir/5rxjzeoq2mdlhu9pim3qykgd7vfbztg8.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/0d/fd/0dfd1181f8b866a7f0b3e5f63574d7998c778be8.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2766462.2767794"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

An Enhanced Travel Package Recommendation System based on Location Dependent Social Data

C. Abilash Reddy, V. Subramaniyaswamy
<span title="2015-07-31">2015</span> <i title="Indian Society for Education and Environment"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wffwpj3q45g5zfjzfeyagk5uea" style="color: black;">Indian Journal of Science and Technology</a> </i> &nbsp;
Location based social networking systems add location as main dimension to the social connections which gives necessities for personalized location recommendations.  ...  Existing recommendation systems concentrate mostly either recommending locations , travel packages to a single user or not precise enough, just recommending a list of possibly suitable packages to select  ...  In our system we first construct a user profile and location model from the location based social data and find regular sequences among locations.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.17485/ijst/2015/v8i16/63571">doi:10.17485/ijst/2015/v8i16/63571</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/sosrtflxyzgmhgtume7pswxmoa">fatcat:sosrtflxyzgmhgtume7pswxmoa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170706112648/http://www.indjst.org/index.php/indjst/article/download/63571/58034/" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.17485/ijst/2015/v8i16/63571"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Point of Interest Recommendation engine

T. SAKTHISREE, S. SIVASANKARI, S.GOKUL RAJ, S. ABIRAMI
<span title="2020-02-29">2020</span> <i title="International Journal of Recent Trends in Engineering and Research"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q6j7kxpeujbvdfdbleu52jna4a" style="color: black;">International Journal of Recent Trends in Engineering and Research</a> </i> &nbsp;
The popularity of location-based social networks (LBSNs) has led to an enormous amount of user-based check-in data.Recommended Points of Interest (POIs) plays a key role in meeting the needs of LBSN users  ...  While recent work has explored the thought of adopting a collaborative ranking (CR) for recommendations, few attempts are made to include time-based information for POI recommendations using CR.  ...  Location-based social network recommendation. Location-based social network recommendations (LBSNs) added the situation to the normal social network.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.23883/ijrter.2020.6013.5onhy">doi:10.23883/ijrter.2020.6013.5onhy</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kobcu2nesbgwjftzmd57zeukse">fatcat:kobcu2nesbgwjftzmd57zeukse</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200709173155/https://www.ijrter.com/papers/volume-6/issue-2/point-of-interest-recommendation-engine.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/08/19/0819815d8d694d438608681f05fc08f57049a09e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.23883/ijrter.2020.6013.5onhy"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Exploring IoT Location Information to Perform Point of Interest Recommendation Engine: Traveling to a New Geographical Region

Xu Yang, Billy Zimba, Tingting Qiao, Keyan Gao, Xiaoya Chen
<span title="2019-02-26">2019</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/taedaf6aozg7vitz5dpgkojane" style="color: black;">Sensors</a> </i> &nbsp;
Many studies in the Location-Based Social Network (LBSN) domain have begun to use social media and location sensing information to implement personalized Points-of-interests (POI) recommendations.  ...  In this research, we proposed a location-aware POI recommendation system that models user preferences mainly based on user reviews, which shows the nature of activities that a user finds interesting.  ...  The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s19050992">doi:10.3390/s19050992</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mlwgkl2xgjdircxtsayv5q4jwq">fatcat:mlwgkl2xgjdircxtsayv5q4jwq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190503145800/https://res.mdpi.com/sensors/sensors-19-00992/article_deploy/sensors-19-00992.pdf?filename=&amp;attachment=1" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/96/2a/962a043b825fc4f9968bd4463a15bf1db5e5871e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s19050992"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

A Method of Recommendation of Points of Interest Based on Location Classification and User Similarity

Jennefer Mononteliza, University of Antique, Antique, Philippines
<span title="2020-05-30">2020</span> <i title="Global Vision Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/r5lcr47lcnaodklgyozcp3425i" style="color: black;">Asia-pacific Journal of Convergent Research Interchange</a> </i> &nbsp;
Location-based social network data contains a lot of interest information.  ...  With the popularization of social network and global positioning technology, location-based social network applications have developed rapidly.  ...  Recommendation of Points of Interest Based on Social Networks With the rise of social networks in recent years, more and more research has focused on social relationships.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21742/apjcri.2020.05.11">doi:10.21742/apjcri.2020.05.11</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kx6mes33w5h4lmj7f6frubaqui">fatcat:kx6mes33w5h4lmj7f6frubaqui</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220311041544/http://fucos.or.kr/journal/APJCRI/Articles/v6n5/11.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/03/7c/037ce1158beb27f42f7dacc7f7ada4dff2f86d0f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21742/apjcri.2020.05.11"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Collaborative Location Recommendation by Integrating Multi-dimensional Contextual Information

Lina Yao, Quan Z. Sheng, Xianzhi Wang, Wei Emma Zhang, Yongrui Qin
<span title="2018-02-05">2018</span> <i title="Association for Computing Machinery (ACM)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3pxayimhcfdzhf6admua73ekfe" style="color: black;">ACM Transactions on Internet Technology</a> </i> &nbsp;
Point-of-Interest (POI) recommendation is a new type of recommendation task that comes along with the prevalence of location-based social networks and services in recent years.  ...  Based on the model, we further improve the recommendation accuracy by utilizing the internal relations within users and locations to regularize the latent factors.  ...  THE PROPOSED METHOD In this section, we systematically describe our tensor-based POI recommendation framework with social and spatial regularizations.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3134438">doi:10.1145/3134438</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/cqyd6inu7jemlnputrltmwvao4">fatcat:cqyd6inu7jemlnputrltmwvao4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180720014118/http://eprints.hud.ac.uk/id/eprint/33686/1/toit-2017.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/71/4d/714d5d5682e9ae2e0c296e5539e57da0b409a05b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3134438"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

CEPR

Defu Lian, Xing Xie, Vincent W. Zheng, Nicholas Jing Yuan, Fuzheng Zhang, Enhong Chen
<span title="2015-04-20">2015</span> <i title="Association for Computing Machinery (ACM)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/gmnsxns6fvf23c44lkzaej5laq" style="color: black;">ACM Transactions on Intelligent Systems and Technology</a> </i> &nbsp;
With the growing popularity of location-based social networks, numerous location visiting records (e.g., checkins) continue to accumulate over time.  ...  locations to visit, in the following.  ...  This development has triggered a new kind of social network service-location-based social networks (LBSNs), such as Foursquare, Jiepang, Gowalla, and so on.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2629557">doi:10.1145/2629557</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dx4j73m2rvfzjkmdqv3v7cobda">fatcat:dx4j73m2rvfzjkmdqv3v7cobda</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20160418010850/http://staff.ustc.edu.cn:80/~cheneh/paper_pdf/2015/Defu-Lian-TIST.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/4f/a9/4fa90eb3b64c9efd0ced198add08b9dc543ddbbf.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2629557"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

A Geographical Factor of Interest Recommended Strategies in Location Based Social Networks

Bulusu Rama, K Sai Prasad, Ayesha Sultana, K Shekar
<span title="2018-08-15">2018</span> <i title="Science Publishing Corporation"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/piy2nrvrjrfcfoz5nmre6zwa4i" style="color: black;">International Journal of Engineering &amp; Technology</a> </i> &nbsp;
data-based consumer modeling, geographical information-based consumer modeling, spatial-temporal information-based consumer modeling, and geo-social information-based consumer modeling.  ...  Contingent upon which sort of LBSNs records used to be completely used in buyer displaying forms for POI proposals, we separate client demonstrating calculations into four classifications: pure check-in  ...  is a unique attribute that distinguishes POIs from gadgets in regular recommender systems.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14419/ijet.v7i3.27.17649">doi:10.14419/ijet.v7i3.27.17649</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xbhdedvfkbe6tgacryx7fbwyke">fatcat:xbhdedvfkbe6tgacryx7fbwyke</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200211010646/https://www.sciencepubco.com/index.php/ijet/article/download/17649/7772" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d8/02/d8020e157fafee5fb975cb01c6541f4d70e18ba9.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14419/ijet.v7i3.27.17649"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

A Joint Deep Recommendation Framework for Location-Based Social Networks

Omer Tal, Yang Liu
<span title="2019-03-19">2019</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/y3fh56bfunh5fgneywwba6d4ke" style="color: black;">Complexity</a> </i> &nbsp;
In this work we propose Textual and Contextual Embedding-based Neural Recommender (TCENR), a deep framework that employs contextual data, such as users' social networks and locations' geo-spatial data,  ...  In addition, we provide further insight into the design selections and hyperparameters of our recommender system, hoping to shed light on the benefit of deep learning for location-based social network  ...  Acknowledgments This work was supported in part by the National Natural Science Foundation of China Grant (61572289) and NSERC Discovery Grants.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2019/2926749">doi:10.1155/2019/2926749</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hmdfns6pfrajjkgvm2aj6r3uwu">fatcat:hmdfns6pfrajjkgvm2aj6r3uwu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190503015117/http://downloads.hindawi.com/journals/complexity/2019/2926749.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ec/8e/ec8e280ce5eb9602f88cda22add7dc48271c7142.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2019/2926749"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> hindawi.com </button> </a>

Urban point-of-interest recommendation by mining user check-in behaviors

Josh Jia-Ching Ying, Eric Hsueh-Chan Lu, Wen-Ning Kuo, Vincent S. Tseng
<span title="">2012</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/fqqihtxlu5bvfaqxjyvqcob35a" style="color: black;">Proceedings of the ACM SIGKDD International Workshop on Urban Computing - UrbComp &#39;12</a> </i> &nbsp;
In this paper, we propose a novel approach named Urban POI-Mine (UPOI-Mine) that integrates location-based social networks (LBSNs) for recommending users urban POIs based on the user preferences and location  ...  In recent years, researches on recommendation of urban Points-Of-Interest (POI), such as restaurants, based on social information have attracted a lot of attention.  ...  Many POIs in Location-Based Social Network (LBSN) have been labeled with useful tags [16] [17] such as coffee shop or pizza restaurant, which are crucial for assisting users in searching and exploring  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2346496.2346507">doi:10.1145/2346496.2346507</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/kdd/YingLKT12.html">dblp:conf/kdd/YingLKT12</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qkpdl3kzwvdh5e3xxmyg5mgtpm">fatcat:qkpdl3kzwvdh5e3xxmyg5mgtpm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809091502/http://wan.poly.edu/KDD2012/forms/workshop/UrbComp2012/doc/UrbComp2012_Paper21.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d8/f0/d8f0a01be74820bb5a1787d5f74fed9283be4205.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2346496.2346507"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

A Survey on Deep Learning Based Point-Of-Interest (POI) Recommendations [article]

Md. Ashraful Islam, Mir Mahathir Mohammad, Sarkar Snigdha Sarathi Das, Mohammed Eunus Ali
<span title="2020-11-20">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Location-based Social Networks (LBSNs) enable users to socialize with friends and acquaintances by sharing their check-ins, opinions, photos, and reviews.  ...  A POI recommendation technique essentially exploits users' historical check-ins and other multi-modal information such as POI attributes and friendship network, to recommend the next set of POIs suitable  ...  Introduction Location-based Social Networks (LBSNs) offer users a unique opportunity to socialize by sharing their check-ins, opinions, photos, and reviews.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2011.10187v1">arXiv:2011.10187v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3uampnqerfdvnpuzrxcrsjviwq">fatcat:3uampnqerfdvnpuzrxcrsjviwq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201124042102/https://arxiv.org/pdf/2011.10187v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/90/b0/90b0975dedd52e33526bf68bccca765f26b0d156.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2011.10187v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>
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