乐胖代购免代理版

{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,20]],"date-time":"2024-09-20T16:39:15Z","timestamp":1726850355452},"reference-count":69,"publisher":"Institute for Operations Research and the Management Sciences (INFORMS)","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information Systems Research"],"published-print":{"date-parts":[[2020,9]]},"abstract":" As the mobile app market grows rapidly, with millions of apps and billions of users, search costs are increasing tremendously. Similar to the case of recommender systems, the challenge is how apps can be recommended to the right users and how consumers can find the right apps. This paper studies a new mobile app ad framework, cross-promotion (CP), which is to promote new \u201ctarget\u201d apps within other \u201csource\u201d apps. With unique random matching experiment data, we empirically test the important determinants of ad effectiveness. We then propose a machine-learning-based framework to optimally match source apps to target apps to improve ad effectiveness in terms of app downloads and postdownload usages. The simulation results show that app analytics capability is essential in building accurate prediction models and in increasing ad effectiveness of CP campaigns and that, at the expense of privacy, individual user data can further improve the matching performance. The paper has important managerial implications because it provides direct guidance to better utilize CP for app developers and to leverage data analytics and machine-learning models for platform managers. It also provides policy implications on the trade-off between utility and privacy in the growing data economy. <\/jats:p>","DOI":"10.1287\/isre.2020.0921","type":"journal-article","created":{"date-parts":[[2020,8,26]],"date-time":"2020-08-26T13:00:31Z","timestamp":1598446831000},"page":"865-891","source":"Crossref","is-referenced-by-count":26,"title":["Matching Mobile Applications for Cross-Promotion"],"prefix":"10.1287","volume":"31","author":[{"ORCID":"http:\/\/orcid.org\/0000-0003-0657-6898","authenticated-orcid":false,"given":"Gene Moo","family":"Lee","sequence":"first","affiliation":[{"name":"Sauder School of Business, University of British Columbia, Vancouver, British Columbia V6T 1Z2, Canada;"}]},{"ORCID":"http:\/\/orcid.org\/0000-0001-5899-5299","authenticated-orcid":false,"given":"Shu","family":"He","sequence":"additional","affiliation":[{"name":"Department of Operations and Information Management, University of Connecticut, Storrs, Connecticut 06269;"}]},{"given":"Joowon","family":"Lee","sequence":"additional","affiliation":[{"name":"College of Social Science, Hansung University, Seoul 136-172, Korea;"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-7371-8991","authenticated-orcid":false,"given":"Andrew B.","family":"Whinston","sequence":"additional","affiliation":[{"name":"Department of Information, Risks, and Operations Management, McCombs School of Business, The University of Texas at Austin, Austin, Texas 78712"}]}],"member":"109","reference":[{"key":"B1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2005.99"},{"key":"B2","doi-asserted-by":"publisher","DOI":"10.1080\/07421222.2014.1001266"},{"key":"B3","volume-title":"The Long Tail: Why the Future of Business is Selling Less of More","author":"Anderson C","year":"2006"},{"key":"B5","doi-asserted-by":"publisher","DOI":"10.1509\/jmr.13.0503"},{"key":"B6","doi-asserted-by":"publisher","DOI":"10.1287\/mksc.1120.0725"},{"key":"B7","doi-asserted-by":"publisher","DOI":"10.1145\/2133806.2133826"},{"issue":"1","key":"B8","first-page":"993","volume":"3","author":"Blei DM","year":"2003","journal-title":"J. Machine Learn. Res."},{"key":"B9","doi-asserted-by":"publisher","DOI":"10.1257\/aer.104.5.475"},{"key":"B10","doi-asserted-by":"publisher","DOI":"10.1287\/isre.1100.0325"},{"key":"B11","doi-asserted-by":"publisher","DOI":"10.1023\/A:1021240730564"},{"key":"B12","doi-asserted-by":"publisher","DOI":"10.1111\/j.1468-2354.2012.00698.x"},{"key":"B13","doi-asserted-by":"crossref","unstructured":"Davis J, Goadrich M (2006) The relationship between precision-recall and roc curves. Proc. 23rd Internat. Conf. Machine Learn. (Association for Computing Machinery, New York), 233\u2013240.","DOI":"10.1145\/1143844.1143874"},{"key":"B14","doi-asserted-by":"publisher","DOI":"10.1257\/aer.20150076"},{"key":"B15","unstructured":"Ershov D (2016) The effect of consumer search costs on entry and quality in the mobile app market. Working paper, University of Toronto, Toronto."},{"key":"B17","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.2016.2447"},{"key":"B18","doi-asserted-by":"publisher","DOI":"10.1080\/00029890.1962.11989827"},{"key":"B19","doi-asserted-by":"publisher","DOI":"10.25300\/MISQ\/2013\/37.4.12"},{"key":"B20","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.2014.1945"},{"key":"B21","doi-asserted-by":"publisher","DOI":"10.1287\/isre.1120.0453"},{"key":"B22","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.2018.3188"},{"key":"B23","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0307752101"},{"key":"B24","doi-asserted-by":"publisher","DOI":"10.1111\/poms.13015"},{"key":"B25","doi-asserted-by":"publisher","DOI":"10.1111\/j.1756-2171.2006.tb00039.x"},{"key":"B26","doi-asserted-by":"publisher","DOI":"10.25300\/MISQ\/2016\/40.4.09"},{"key":"B27","doi-asserted-by":"crossref","unstructured":"Hariri N, Mobasher B, Burke R (2012) Context-aware music recommendation based on latent topic sequential patterns. Proc. ACM Conf. Recommender Systems (Association for Computing Machinery, New York), 131\u2013138.","DOI":"10.1145\/2365952.2365979"},{"key":"B28","doi-asserted-by":"publisher","DOI":"10.1016\/j.geb.2016.01.002"},{"key":"B29","doi-asserted-by":"publisher","DOI":"10.2307\/1912352"},{"key":"B30","doi-asserted-by":"crossref","unstructured":"Hu W, Bolivar A (2008) Online auctions efficiency: A survey of eBay auctions. Proc. Internat. Conf. World Wide Web (Association for Computing Machinery, New York), 925\u2013934.","DOI":"10.1145\/1367497.1367621"},{"key":"B32","doi-asserted-by":"publisher","DOI":"10.1509\/jmkg.70.2.122"},{"key":"B33","doi-asserted-by":"publisher","DOI":"10.1300\/J366v06n03_03"},{"key":"B34","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.1040.0256"},{"key":"B35","unstructured":"Le Q, Mikolov T (2014) Distributed representations of sentences and documents. Xing EP, Jebara T, eds. Proc. Internat. Conf. Machine Learn. Proc. Machine Learn. Res. 32(2):1188\u20131196."},{"key":"B36","doi-asserted-by":"publisher","DOI":"10.1080\/07421222.2016.1267523"},{"key":"B37","doi-asserted-by":"publisher","DOI":"10.2753\/MIS0742-1222310206"},{"key":"B38","doi-asserted-by":"publisher","DOI":"10.1177\/0092070303031003003"},{"key":"B39","unstructured":"Levin JD (2011) The economics of internet markets. NBER Working Paper No. 16852, National Bureau of Economic Research, Cambridge, MA."},{"key":"B41","doi-asserted-by":"publisher","DOI":"10.1509\/jmkr.48.4.683"},{"key":"B42","doi-asserted-by":"publisher","DOI":"10.1509\/jmkr.42.2.233.62288"},{"key":"B44","doi-asserted-by":"publisher","DOI":"10.1109\/MIC.2003.1167344"},{"key":"B45","doi-asserted-by":"crossref","unstructured":"Lops P, De Gemmis M, Semeraro G (2011) Content-based recommender systems: State of the art and trends. Recommender Systems Handbook (Springer, Boston), 73\u2013105.","DOI":"10.1007\/978-0-387-85820-3_3"},{"key":"B46","doi-asserted-by":"publisher","DOI":"10.1287\/isre.1120.0462"},{"key":"B48","doi-asserted-by":"publisher","DOI":"10.1086\/208907"},{"key":"B50","doi-asserted-by":"publisher","DOI":"10.1162\/003355304772839551"},{"key":"B51","doi-asserted-by":"crossref","unstructured":"Natarajan N, Shin D, Dhillon IS (2013) Which app will you use next? Collaborative filtering with interactional context. Proc. ACM Conf. Recommender Systems (Association for Computing Machinery, New York), 201\u2013208.","DOI":"10.1145\/2507157.2507186"},{"key":"B52","doi-asserted-by":"publisher","DOI":"10.2307\/41410406"},{"key":"B53","doi-asserted-by":"publisher","DOI":"10.1177\/00222429990634s105"},{"key":"B54","doi-asserted-by":"crossref","unstructured":"Petsas T, Papadogiannakis A, Polychronakis M, Markatos EP, Karagiannis T (2013) Rise of the planet of the apps: A systematic study of the mobile app ecosystem. Proc. ACM Internet Measurement Conf. (Association for Computing Machinery, New York), 277\u2013290.","DOI":"10.1145\/2504730.2504749"},{"key":"B55","doi-asserted-by":"publisher","DOI":"10.1287\/isre.2016.0664"},{"key":"B58","doi-asserted-by":"crossref","unstructured":"Ramage D, Dumais ST, Liebling DJ (2010) Characterizing microblogs with topic models. Proc. Internat. AAAI Conf. Web Social Media (AAAI Press, Palo Alto, CA), 130\u2013137.","DOI":"10.1609\/icwsm.v4i1.14026"},{"key":"B59","doi-asserted-by":"publisher","DOI":"10.1037\/1076-898X.1.1.34"},{"key":"B60","doi-asserted-by":"publisher","DOI":"10.1145\/245108.245121"},{"key":"B61","doi-asserted-by":"publisher","DOI":"10.1162\/154247603322493212"},{"key":"B62","doi-asserted-by":"publisher","DOI":"10.1086\/261272"},{"key":"B63","doi-asserted-by":"publisher","DOI":"10.1111\/j.1468-0297.2007.02121.x"},{"key":"B64","doi-asserted-by":"publisher","DOI":"10.1016\/0306-4573(88)90021-0"},{"key":"B65","doi-asserted-by":"crossref","unstructured":"Schafer JB, Frankowski D, Herlocker J, Sen S (2007) Collaborative filtering recommender systems. Brusilovsky P, Kobsa A, Nejdl W, eds. The Adaptive Web: Methods and Strategies of Web Personalization (Springer, Berlin), 291\u2013324.","DOI":"10.1007\/978-3-540-72079-9_9"},{"key":"B66","doi-asserted-by":"publisher","DOI":"10.25300\/MISQ\/2016\/40.4.11"},{"key":"B67","author":"Shin D","year":"2020","journal-title":"MIS Quart."},{"key":"B68","doi-asserted-by":"publisher","DOI":"10.1177\/002224379002700203"},{"key":"B69","doi-asserted-by":"publisher","DOI":"10.1086\/209292"},{"key":"B70","doi-asserted-by":"publisher","DOI":"10.2307\/20650294"},{"key":"B71","doi-asserted-by":"publisher","DOI":"10.1509\/jmkr.38.1.30.18828"},{"key":"B72","doi-asserted-by":"publisher","DOI":"10.1111\/j.1540-6261.2007.01291.x"},{"key":"B73","doi-asserted-by":"publisher","DOI":"10.1509\/jmkg.66.1.55.18455"},{"key":"B75","doi-asserted-by":"crossref","unstructured":"Wang C, Blei DM (2011) Collaborative topic modeling for recommending scientific articles. Proc. ACM Internat. Conf. Knowledge Discovery Data Mining (Association for Computing Machinery, New York), 448\u2013456.","DOI":"10.1145\/2020408.2020480"},{"key":"B76","doi-asserted-by":"crossref","unstructured":"Weng J, Lim E-P, Jiang J, He Q (2010) TwitterRank: Finding topic-sensitive influential Twitterers. Proc. ACM Internat. Conf. Web Search Data Mining (Association for Computing Machinery, New York), 261\u2013270.","DOI":"10.1145\/1718487.1718520"},{"key":"B77","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.2014.1952"},{"key":"B78","doi-asserted-by":"publisher","DOI":"10.1257\/aer.104.5.255"},{"key":"B79","doi-asserted-by":"crossref","unstructured":"Zhong N, Michahelles F (2013) Google Play is not a long tail market: An empirical analysis of app adoption on the Google Play app market. Proc. 28th Annual ACM Sympos. Applied Comput. (Association for Computing Machinery, New York), 499\u2013504.","DOI":"10.1145\/2480362.2480460"}],"container-title":["Information Systems Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/pubsonline.informs.org\/doi\/pdf\/10.1287\/isre.2020.0921","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,4,2]],"date-time":"2023-04-02T16:08:41Z","timestamp":1680451721000},"score":1,"resource":{"primary":{"URL":"https:\/\/pubsonline.informs.org\/doi\/10.1287\/isre.2020.0921"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9]]},"references-count":69,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2020,9]]}},"alternative-id":["10.1287\/isre.2020.0921"],"URL":"https:\/\/doi.org\/10.1287\/isre.2020.0921","relation":{},"ISSN":["1047-7047","1526-5536"],"issn-type":[{"value":"1047-7047","type":"print"},{"value":"1526-5536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,9]]}}}