{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T06:08:02Z","timestamp":1760854082968,"version":"3.41.0"},"reference-count":50,"publisher":"Association for Computing Machinery (ACM)","issue":"1","license":[{"start":{"date-parts":[[2019,3,29]],"date-time":"2019-03-29T00:00:00Z","timestamp":1553817600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"research fund of Tsinghua University - Tencent Joint Laboratory for Internet Innovation Technology"},{"name":"National Key Research and Development Program of China","award":["2017YFE0112300"],"award-info":[{"award-number":["2017YFE0112300"]}]},{"DOI":"10.13039\/501100001809","name":"National Nature Science Foundation of China","doi-asserted-by":"crossref","award":["61861136003, 61621091, 61673237"],"award-info":[{"award-number":["61861136003, 61621091, 61673237"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100017582","name":"Beijing National Research Center for Information Science and Technology","doi-asserted-by":"crossref","award":["20031887521"],"award-info":[{"award-number":["20031887521"]}],"id":[{"id":"10.13039\/501100017582","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["Proc. ACM Interact. Mob. Wearable Ubiquitous Technol."],"published-print":{"date-parts":[[2019,3,29]]},"abstract":"<jats:p>With increasing diversity of user interest and preference, personalized location recommendation is essential and beneficial to our daily life. To achieve this, the most critical challenge is the cold-start recommendation problem, for we cannot learn preference from cold-start users without any historical records. In this paper, we demonstrate that it is feasible to make personalized location recommendation by learning user interest and location features from app usage data. By proposing a novel generative model to transfer user interests from app usage behavior to location preference, we achieve personalized location recommendation via learning the interest's correlation between locations and apps. Based on two real-world datasets, we evaluate our method's performance with a variety of scenarios and parameters. The results demonstrate that our method outperforms the state-of-the-art solutions in solving cold-start problem, i.e., when there are 60% cold-start users, we can still achieve a 77.0% hitrate in recommending the top five locations, which is at least 9.6% higher than the baselines. Our study is the first step forward for transferring user interests learning from online fingerprints to offline footprints, which paves the way for better personalized location recommendation services.<\/jats:p>","DOI":"10.1145\/3314413","type":"journal-article","created":{"date-parts":[[2019,4,2]],"date-time":"2019-04-02T11:57:40Z","timestamp":1554206260000},"page":"1-22","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":19,"title":["From Fingerprint to Footprint"],"prefix":"10.1145","volume":"3","author":[{"given":"Zhen","family":"Tu","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, Tsinghua University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yali","family":"Fan","sequence":"additional","affiliation":[{"name":"Sun Yat-Sen University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yong","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Tsinghua University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiang","family":"Chen","sequence":"additional","affiliation":[{"name":"Sun Yat-Sen University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Li","family":"Su","sequence":"additional","affiliation":[{"name":"Tsinghua University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Depeng","family":"Jin","sequence":"additional","affiliation":[{"name":"Beijing National Research Center for Information Science and Technology(BNRist), Department of Electrical Engineering, Tsinghua University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2019,3,29]]},"reference":[{"key":"e_1_2_1_1_1","unstructured":"Apple. 2018. Licensed Application End User License Agreement. https:\/\/www.apple.com\/legal\/internet-services\/itunes\/dev\/stdeula\/.  Apple. 2018. Licensed Application End User License Agreement. https:\/\/www.apple.com\/legal\/internet-services\/itunes\/dev\/stdeula\/."},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/2971648.2971707"},{"key":"e_1_2_1_3_1","first-page":"1","article-title":"Comprehensive survey on distance\/similarity measures between probability density functions","volume":"1","author":"Cha Sung-Hyuk","year":"2007","journal-title":"City"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/2785830.2785891"},{"key":"e_1_2_1_5_1","unstructured":"Nield David. 2017. All the Ways Your Smartphone and Its Apps Can Track You. https:\/\/gizmodo.com\/all-the-ways-your-smartphone-and-its-apps-can-track-you-1821213704.  Nield David. 2017. All the Ways Your Smartphone and Its Apps Can Track You. https:\/\/gizmodo.com\/all-the-ways-your-smartphone-and-its-apps-can-track-you-1821213704."},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/1814433.1814453"},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/2628363.2628367"},{"key":"e_1_2_1_8_1","doi-asserted-by":"crossref","unstructured":"Chen Gao Xiangnan He Dahua Gan Xiangning Chen Fuli Feng Yong Li and Tat-Seng Chua. 2019. Neural Multi-Task Recommendation from Multi-Behavior Data. In ICDE.  Chen Gao Xiangnan He Dahua Gan Xiangning Chen Fuli Feng Yong Li and Tat-Seng Chua. 2019. Neural Multi-Task Recommendation from Multi-Behavior Data. In ICDE.","DOI":"10.1109\/ICDE.2019.00140"},{"key":"e_1_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-014-0343-4"},{"key":"e_1_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/1281192.1281230"},{"key":"e_1_2_1_11_1","unstructured":"Google. 2018. Google's Privacy Policies. https:\/\/policies.google.com\/privacy#infosharing  Google. 2018. Google's Privacy Policies. https:\/\/policies.google.com\/privacy#infosharing"},{"key":"e_1_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/2370216.2370442"},{"key":"e_1_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/2750858.2807542"},{"volume-title":"Retrieved","year":"2018","key":"e_1_2_1_14_1"},{"key":"e_1_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/2396761.2398683"},{"volume-title":"Researchers: Uber's iOS App Had Secret Permissions That Allowed It to Copy Your Phone Screen. https:\/\/gizmodo.com\/researchers-uber-s-ios-app-had-secret-permissions-that-1819177235.","year":"2017","author":"Kate Conger","key":"e_1_2_1_16_1"},{"key":"e_1_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2009.263"},{"key":"e_1_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/2971648.2971669"},{"key":"e_1_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/2971648.2971693"},{"key":"e_1_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3269234"},{"key":"e_1_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1142\/S0219622013500077"},{"key":"e_1_2_1_22_1","doi-asserted-by":"crossref","unstructured":"Qiang Liu Shu Wu Liang Wang and Tieniu Tan. 2016. Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts.. In AAAI. 194--200.   Qiang Liu Shu Wu Liang Wang and Tieniu Tan. 2016. Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts.. In AAAI. 194--200.","DOI":"10.1609\/aaai.v30i1.9971"},{"key":"e_1_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/2492517.2492652"},{"key":"e_1_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/1458082.1458205"},{"key":"e_1_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/1935826.1935877"},{"key":"e_1_2_1_26_1","unstructured":"Eric Malmi and Ingmar Weber. 2016. You Are What Apps You Use: Demographic Prediction Based on User's Apps. (2016).  Eric Malmi and Ingmar Weber. 2016. You Are What Apps You Use: Demographic Prediction Based on User's Apps. (2016)."},{"key":"e_1_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/1557019.1557091"},{"volume-title":"Asian conference on computer vision. Springer, 709--720","year":"2010","author":"Nguyen Hieu V","key":"e_1_2_1_28_1"},{"volume-title":"Retrieved","year":"2017","author":"Department of Computer Science and University of Helsinki.","key":"e_1_2_1_29_1"},{"key":"e_1_2_1_30_1","unstructured":"Google Play. 2017. Mafengwo in the Google Play. https:\/\/play.google.com\/store\/apps\/developer?id=mafengwo.mobile.  Google Play. 2017. Mafengwo in the Google Play. https:\/\/play.google.com\/store\/apps\/developer?id=mafengwo.mobile."},{"key":"e_1_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/SMARTCOMP.2014.7043857"},{"key":"e_1_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/2645710.2645751"},{"key":"e_1_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/2645710.2645772"},{"key":"e_1_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/2370216.2370243"},{"key":"e_1_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401969"},{"key":"e_1_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3264948"},{"key":"e_1_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/2983323.2983711"},{"key":"e_1_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/2971648.2971673"},{"key":"e_1_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/2493988.2494333"},{"key":"e_1_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/2093973.2093980"},{"key":"e_1_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/3161413"},{"key":"e_1_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939793"},{"key":"e_1_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/2600428.2609599"},{"volume-title":"Proc. ACM Ubicomp.","year":"2017","author":"Zhang Shuo","key":"e_1_2_1_45_1"},{"key":"e_1_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1145\/2971648.2971696"},{"volume-title":"STELLAR: Spatial-Temporal Latent Ranking for Successive Point-of-Interest Recommendation.. In AAAI. 315--322.","year":"2016","author":"Zhao Shenglin","key":"e_1_2_1_47_1"},{"key":"e_1_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2015.2508816"},{"key":"e_1_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1145\/2948649.2948656"},{"key":"e_1_2_1_50_1","doi-asserted-by":"crossref","first-page":"236","DOI":"10.1609\/aaai.v24i1.7577","article-title":"Collaborative Filtering Meets Mobile Recommendation: A User-Centered Approach","volume":"10","author":"Zheng Vincent Wenchen","year":"2010","journal-title":"AAAI"},{"key":"e_1_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2012.31"}],"container-title":["Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3314413","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3314413","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:53:30Z","timestamp":1750204410000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3314413"}},"subtitle":["Cold-start Location Recommendation by Learning User Interest from App Data"],"short-title":[],"issued":{"date-parts":[[2019,3,29]]},"references-count":50,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2019,3,29]]}},"alternative-id":["10.1145\/3314413"],"URL":"https:\/\/doi.org\/10.1145\/3314413","relation":{},"ISSN":["2474-9567"],"issn-type":[{"type":"electronic","value":"2474-9567"}],"subject":[],"published":{"date-parts":[[2019,3,29]]},"assertion":[{"value":"2018-08-01","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2019-01-01","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2019-03-29","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}