Filters








93,437 Hits in 5.2 sec

Inferring and Exploiting Categories for Next Location Prediction

Ankita Likhyani, Deepak Padmanabhan, Srikanta Bedathur, Sameep Mehta
<span title="">2015</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/s4hirppq3jalbopssw22crbwwa" style="color: black;">Proceedings of the 24th International Conference on World Wide Web - WWW &#39;15 Companion</a> </i> &nbsp;
This category information is then leveraged to predict the next checkin location by the user.  ...  In this paper, we propose a framework to use the location data from LBSNs, combine it with the data from maps for associating a set of venue categories with these locations.  ...  To the best of our knowledge this is the first work that exploits such coarse-grained category information for next check-in location prediction.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2740908.2742770">doi:10.1145/2740908.2742770</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/www/LikhyaniPBM15.html">dblp:conf/www/LikhyaniPBM15</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5r6yazdmrjdfbiqthv3xmspehe">fatcat:5r6yazdmrjdfbiqthv3xmspehe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808150155/https://www.iiitd.edu.in/~ankital/www2015.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/d5/32/d5328efadc4f936c9b128719e806725c045d7d60.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2740908.2742770"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

AdNext

Byoungjip Kim, Jin-Young Ha, SangJeong Lee, Seungwoo Kang, Youngki Lee, Yunseok Rhee, Lama Nachman, Junehwa Song
<span title="">2011</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/g2i2kcww7zfazc6z4kehoj54cq" style="color: black;">Proceedings of the 12th Workshop on Mobile Computing Systems and Applications - HotMobile &#39;11</a> </i> &nbsp;
As one of the key enabling techniques for AdNext, we develop a probabilistic prediction model that predicts users' next visit place from their place visit history.  ...  AdNext can provide highly relevant ads to users by predicting places that the users will next visit.  ...  We would like to thank the reviewers and the shepherd, Prof. David Johnson, for their helpful feedback.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2184489.2184492">doi:10.1145/2184489.2184492</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/wmcsa/KimHLKLRNS11.html">dblp:conf/wmcsa/KimHLKLRNS11</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/v3g4qk74hndxnotnw6ljvd64n4">fatcat:v3g4qk74hndxnotnw6ljvd64n4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20120329065121/http://nclab.kaist.ac.kr:80/~bjkim/hotmobile11-adnext.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/2a/a6/2aa60d87d0add6ce130a22deca9deb1edf54defa.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2184489.2184492"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Where and what: Using smartphones to predict next locations and applications in daily life

Trinh Minh Tri Do, Daniel Gatica-Perez
<span title="">2014</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/yw6p22q3p5gsnimkka633h4l6u" style="color: black;">Pervasive and Mobile Computing</a> </i> &nbsp;
We present a framework for predicting where users will go and which app they will use in the next ten minutes by exploiting the rich contextual information from smartphone sensors.  ...  Our first goal is to understand which smartphone sensor data types are important for the two prediction tasks.  ...  Acknowledgement We thank the partial support of Nokia Research (LS-CONTEXT project) and SNSF (SONVB project).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.pmcj.2013.03.006">doi:10.1016/j.pmcj.2013.03.006</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6j3wxd72qfhs7pm635oufd3hia">fatcat:6j3wxd72qfhs7pm635oufd3hia</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170818062428/https://infoscience.epfl.ch/record/192387/files/Do_PMC_2013.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/66/70/667048238f12e1ae46569534dd0622ac5940649f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.pmcj.2013.03.006"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Discovering User's Trends and Routines from Location Based Social Networks

Sergio Salomón, Rafael Duque, José Montaña
<span title="2018-10-30">2018</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/tmebwgnfrvem5c5r53x7zxx3yq" style="color: black;">Proceedings (MDPI)</a> </i> &nbsp;
Location data is a powerful source of information to discover user's trends and routines.  ...  Finally, our model enables us to predict future location contexts from the user patterns. A case study evaluates the proposal using real-world data of a location-based social network.  ...  For each user interaction, the dataset includes latitude and longitude coordinates, user identifier, the current timestamp, an identifier of the visited location and its location category.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/proceedings2191222">doi:10.3390/proceedings2191222</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/q2nbeiwsffafpglf2etco7h43e">fatcat:q2nbeiwsffafpglf2etco7h43e</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200310085411/https://repositorio.unican.es/xmlui/bitstream/handle/10902/15991/DiscoveringUsersTrends.pdf;jsessionid=807C150CFE073531A05CEB3119BAB142?sequence=3" 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/20/b3/20b39688c535e02fb6695cc44dd25cd224d6b9d3.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/proceedings2191222"> <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>

Exploiting Foursquare and Cellular Data to Infer User Activity in Urban Environments

Anastasios Noulas, Cecilia Mascolo, Enrique Frias-Martinez
<span title="">2013</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4dx63pqjlvhgnpxex7o4qtt2ta" style="color: black;">2013 IEEE 14th International Conference on Mobile Data Management</a> </i> &nbsp;
Inferring the type of activities in neighborhoods of urban centers may be helpful in a number of contexts including urban planning, content delivery and activity recommendations for mobile web users or  ...  Initially, we assess how hard it is to predict specific urban activity of an area, showing that Nightlife and Entertainment spots are those easier to infer, whereas College and Shopping areas are those  ...  We will show in the next section how we exploit information both on call distances and durations to build machine learning features for supervised learning classifiers.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/mdm.2013.27">doi:10.1109/mdm.2013.27</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/mdm/NoulasMF13.html">dblp:conf/mdm/NoulasMF13</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/bqbondntyfgslfzmw7ahu3vy5i">fatcat:bqbondntyfgslfzmw7ahu3vy5i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20150429200358/https://www.cl.cam.ac.uk/~cm542/papers/mdm2013.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/a4/4b/a44be252fc446098e77c76a7bb070f7aaf931c46.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/mdm.2013.27"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

STS: Spatial–Temporal–Semantic Personalized Location Recommendation

Wenchao Li, Xin Liu, Chenggang Yan, Guiguang Ding, Yaoqi Sun, Jiyong Zhang
<span title="2020-09-08">2020</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/fw2uac7a5jggbfgqwh2wqy7yxu" style="color: black;">ISPRS International Journal of Geo-Information</a> </i> &nbsp;
We also propose an enhancement to take into account category information of locations for semantic-aware recommendation.  ...  In order to realize truly personalized location recommendations, we propose a Gaussian process based model for each user to systematically and non-linearly combine temporal and spatial information to predict  ...  category distribution of a user's next checked-in locations.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/ijgi9090538">doi:10.3390/ijgi9090538</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/a2nrujag5jh2jerrvdo27hewyu">fatcat:a2nrujag5jh2jerrvdo27hewyu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200918092817/https://res.mdpi.com/d_attachment/ijgi/ijgi-09-00538/article_deploy/ijgi-09-00538.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/81/d0/81d08a5e42469cc9c26adc89c524fcac5c191781.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/ijgi9090538"> <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>

Twitter Can Predict Your Next Place of Visit

Arun Chauhan, Ravi Tejwani, Durga Toshniwal
<span title="">2016</span> <i title="SAGE Publications"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/snvb3djywzbhvjtue42hxtjery" style="color: black;">International Journal of Distributed Sensor Networks</a> </i> &nbsp;
We hypothesize that tweets of the person have predictive power on his location and therefore can be used to predict his next place of visit.  ...  This problem is important for location based advertising and recommender based services.  ...  For predicting next place of visit, we use past tweets to infer the intent and interest of the user.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2016/9274715">doi:10.1155/2016/9274715</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/bwip3rhfv5czfm273a73ceum4a">fatcat:bwip3rhfv5czfm273a73ceum4a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200710080959/http://downloads.hindawi.com/journals/ijdsn/2016/9274715.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/e2/0b/e20bbe17a7a1a6dd143fa657ded19d278353910b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2016/9274715"> <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>

What's Your Next Move: User Activity Prediction in Location-based Social Networks [chapter]

Jihang Ye, Zhe Zhu, Hong Cheng
<span title="2013-05-02">2013</span> <i title="Society for Industrial and Applied Mathematics"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/viwc2ys5x5a47ogpdlftfzj5fm" style="color: black;">Proceedings of the 2013 SIAM International Conference on Data Mining</a> </i> &nbsp;
We propose a framework which uses a mixed hidden Markov model to predict the category of user activity at the next step and then predict the most likely location given the estimated category distribution  ...  To make ads and coupon delivery more effective, it is essential to predict the location that is most likely to be visited by a user at the next step.  ...  After predicting the category of a user for the next step, we use some simple schemes to predict a location given the category distribution.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1137/1.9781611972832.19">doi:10.1137/1.9781611972832.19</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/sdm/ChengYZ13.html">dblp:conf/sdm/ChengYZ13</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6vbbub7pjzcgdfs4jvfqsxe2re">fatcat:6vbbub7pjzcgdfs4jvfqsxe2re</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20160910044818/http://cgi-serv.se.cuhk.edu.hk:80/~hcheng/paper/sdm2013.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/23/d6/23d68bef82c294822147db39ffbfdfcdb860aa88.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1137/1.9781611972832.19"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Personalized Next Point-of-Interest Recommendation via Latent Behavior Patterns Inference [article]

Jing He, Xin Li, Lejian Liao, Williamb K.Cheung
<span title="2018-05-16">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In this paper, we address the problem of personalized next Point-of-interest (POI) recommendation which has become an important and very challenging task for location-based social networks (LBSNs), but  ...  By integrating categorical influence into mobility patterns and aggregating user's spatial preference on a POI, the proposed model deal with the next new POI recommendation problem by nature.  ...  and next location, the other is the distance between user and next location, then takes the combination of two distances in predicting [26] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1805.06316v1">arXiv:1805.06316v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ns4r7irijjet5fk3sg7w5iexgu">fatcat:ns4r7irijjet5fk3sg7w5iexgu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200823103837/https://arxiv.org/pdf/1805.06316v1.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/99/8d/998d43fade7681b2cc217704469b102bfeed9386.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1805.06316v1" 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>

Crowdsensed Data Learning-Driven Prediction of Local Businesses Attractiveness in Smart Cities

Andrea Capponr, Piergiorgio Viiello, Claudio Fiandrino, Guido Cantelmo, Dzmitry Kliazovich, Ulrich Sorgeu, Pascal Bouvry
<span title="">2019</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/tb3rbzm3lfa5bionys37kd42py" style="color: black;">2019 IEEE Symposium on Computers and Communications (ISCC)</a> </i> &nbsp;
In particular, we apply widely known Machine Learning (ML) techniques to achieve highly accurate results in predicting categories of local businesses (LBs) (e.g., bars, restaurants), and their attractiveness  ...  This work shows how to exploit sensing data to improve traditionally experience-based approaches for urban decisions.  ...  Specifically, SVM optimization parameters are C = 2 8 and γ = 2 −12 for LB category prediction, while they are C = 2 6 and γ = 2 −10 for LB attractiveness prediction. VI.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/iscc47284.2019.8969771">doi:10.1109/iscc47284.2019.8969771</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/iscc/CapponiVFCKSB19.html">dblp:conf/iscc/CapponiVFCKSB19</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7mtwbcumnferpp3axa25fzjw3a">fatcat:7mtwbcumnferpp3axa25fzjw3a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190923031431/http://orbilu.uni.lu/bitstream/10993/39439/1/ISCC-camera-ready.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/8a/10/8a101d9b7756457346fe56e3695f1966d1c6e2a5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/iscc47284.2019.8969771"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Speaker identity indexing in audio-visual documents

Mbarek Charhad Sadek Mansouri
<span title="2005-01-01">2005</span> <i title="Zenodo"> Zenodo </i> &nbsp;
Three types of patterns are used to predict the speaker in the previous, current and next speech segments. Predictions are then propagated to other segments by similarity at the acoustic level.  ...  The task of speaker's identity detection can be carried out by exploiting data elements resulting from different modalities (text, image and audio).  ...  ACKNOWLEDGEMENTS This work has been sponsored by an INPG BQR project and by the PENG -IST-004597 European project.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.6334021">doi:10.5281/zenodo.6334021</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7vvmotighfcenotep76ofuccga">fatcat:7vvmotighfcenotep76ofuccga</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220310083041/https://zenodo.org/record/6334021/files/6.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/72/25/72251cc0ba43a9ad47e2955fa763d2ece295d47f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.6334021"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> zenodo.org </button> </a>

Contextual conditional models for smartphone-based human mobility prediction

Trinh Minh Tri Do, Daniel Gatica-Perez
<span title="">2012</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/tbl7svy7dzb65af4vqu34wmt7i" style="color: black;">Proceedings of the 2012 ACM Conference on Ubiquitous Computing - UbiComp &#39;12</a> </i> &nbsp;
Human behavior is often complex and context-dependent. This paper presents a general technique to exploit this "multidimensional" contextual variable for human mobility prediction.  ...  We showed how this idea can be applied to two specific online prediction tasks: what is the next place a user will visit? and how long will he stay in the current place?.  ...  After filtering, we get 30,000 trusted transitions for next place prediction and 41,000 trusted visit for duration prediction.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2370216.2370242">doi:10.1145/2370216.2370242</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/huc/DoG12.html">dblp:conf/huc/DoG12</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6awo7reex5elnkpm6zgdk7lu64">fatcat:6awo7reex5elnkpm6zgdk7lu64</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20141222010140/http://csce.uark.edu:80/~tingxiny/courses/5013sp14/reading/Do2012CCM.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/de/4e/de4e7d66b6cf450c17a47721cea6c3778d5e187c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2370216.2370242"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

GoThere

Abdul Majid, Ling Chen, Gencai Chen, Hamid Turab Mirza, Ibrar Hussain
<span title="">2012</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/s4hirppq3jalbopssw22crbwwa" style="color: black;">Proceedings of the 21st international conference companion on World Wide Web - WWW &#39;12 Companion</a> </i> &nbsp;
We propose a context and preference aware travel guide that suggests significant tourist destinations to users based on their preferences and current surrounding context using contextualized usergenerated  ...  Significance score for each location is computed using a user-expertise model that exploits the relationships among users, locations, and location categories.  ...  Next the locations in L' are ranked using rank score R and top k locations are returned as query result.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2187980.2188135">doi:10.1145/2187980.2188135</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/www/MajidCCMH12.html">dblp:conf/www/MajidCCMH12</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tnnzxa75wrfbpcqjowk3x5sneu">fatcat:tnnzxa75wrfbpcqjowk3x5sneu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20120530124611/http://www2012.org/proceedings/companion/p577.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/91/c7/91c7922366de053fb8f19964f851138b540e7e3c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2187980.2188135"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

What is this place? Inferring place categories through user patterns identification in geo-tagged tweets

Deborah Falcone, Cecilia Mascolo, Carmela Comito, Domenico Talia, Jon Crowcroft
<span title="">2014</span> <i title="ICST"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3ffj5c7xcfbbvf46gu3pwvoejm" style="color: black;">Proceedings of the 6th International Conference on Mobile Computing, Applications and Services</a> </i> &nbsp;
A supervised learning framework takes the tweets spatial-temporal features and determines human dynamics which we use to infer the place category.  ...  Moreover the framework identifies the category of a place, with an accuracy up to 66%, finding out where people eat and drink, go for entertainment, or work/study.  ...  ACKNOWLEDGMENT The work presented in this paper has been partially supported by European Commission, European Social Fund (ESF), Regione Calabria, and COST program Action IC1305, 'Network for Sustainable  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.4108/icst.mobicase.2014.257683">doi:10.4108/icst.mobicase.2014.257683</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/mobicase/FalconeMCTC14.html">dblp:conf/mobicase/FalconeMCTC14</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mxreore47rgkzilqfzbb24zp6i">fatcat:mxreore47rgkzilqfzbb24zp6i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190427104643/https://eudl.eu/pdf/10.4108/icst.mobicase.2014.257683" 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/6f/f1/6ff12a10013316aa4976ed159b67501e766ed0ea.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.4108/icst.mobicase.2014.257683"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Detecting Visual Relationships with Deep Relational Networks [article]

Bo Dai, Yuqi Zhang, Dahua Lin
<span title="2017-04-12">2017</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
At the heart of this framework is the Deep Relational Network, a novel formulation designed specifically for exploiting the statistical dependencies between objects and their relationships.  ...  "person-ride-horse") as a category.  ...  The task is to locate all visual relationships from a given image, and infer the triplets.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1704.03114v2">arXiv:1704.03114v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/k6nazub225b43ks3i6nzfkgpni">fatcat:k6nazub225b43ks3i6nzfkgpni</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200914122933/https://arxiv.org/pdf/1704.03114v2.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/43/4d/434d6726229c0f556841fad20391c18316806f73.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1704.03114v2" 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>
&laquo; Previous Showing results 1 &mdash; 15 out of 93,437 results