乐胖代购免代理版

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Intell. Syst. Technol."],"published-print":{"date-parts":[[2022,4,30]]},"abstract":"In this article, we propose and study a novel data-driven framework for Targeted Outdoor Advertising Recommendation (TOAR) with a special consideration of user profiles and advertisement topics. Given an advertisement query and a set of outdoor billboards with different spatial locations and rental prices, our goal is to find a subset of billboards, such that the total targeted influence is maximum under a limited budget constraint. To achieve this goal, we are facing two challenges: (1) it is difficult to estimate targeted advertising influence in physical world; (2) due to NP hardness, many common search techniques fail to provide a satisfied solution with an acceptable time, especially for large-scale problem settings. Taking into account the exposure strength, advertisement matching degree, and advertising repetition effect, we first build a targeted influence model that can characterize that the advertising influence spreads along with users mobility. Subsequently, based on a divide-and-conquer strategy, we develop two effective approaches, i.e., a master\u2013slave-based sequential optimization method, TOAR-MSS, and a cooperative co-evolution-based optimization method, TOAR-CC, to solve our studied problem. Extensive experiments on two real-world datasets clearly validate the effectiveness and efficiency of our proposed approaches.<\/jats:p>","DOI":"10.1145\/3495159","type":"journal-article","created":{"date-parts":[[2022,1,5]],"date-time":"2022-01-05T15:07:50Z","timestamp":1641395270000},"page":"1-23","update-policy":"http:\/\/dx.doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Data-driven Targeted Advertising Recommendation System for Outdoor Billboard"],"prefix":"10.1145","volume":"13","author":[{"ORCID":"http:\/\/orcid.org\/0000-0002-5897-4401","authenticated-orcid":false,"given":"Liang","family":"Wang","sequence":"first","affiliation":[{"name":"Northwestern Polytechnical University, Xi\u2019an, Shaan Xi, China"}]},{"given":"Zhiwen","family":"Yu","sequence":"additional","affiliation":[{"name":"Northwestern Polytechnical University, Xi\u2019an, Shaan Xi, China"}]},{"given":"Bin","family":"Guo","sequence":"additional","affiliation":[{"name":"Northwestern Polytechnical University, Xi\u2019an, Shaan Xi, China"}]},{"given":"Dingqi","family":"Yang","sequence":"additional","affiliation":[{"name":"University of Macau, Taipa, Macau, China"}]},{"given":"Lianbo","family":"Ma","sequence":"additional","affiliation":[{"name":"Northeastern University, Shenyang, China"}]},{"given":"Zhidan","family":"Liu","sequence":"additional","affiliation":[{"name":"Shenzhen University, Shenzhen, China"}]},{"given":"Fei","family":"Xiong","sequence":"additional","affiliation":[{"name":"Beijing Jiaotong University, Beijing, China"}]}],"member":"320","published-online":{"date-parts":[[2022,1,5]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2017.2767023"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1086\/209063"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5726"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2013.2267015"},{"key":"e_1_3_2_6_2","doi-asserted-by":"crossref","unstructured":"Yi-Cheng Chen Tipajin Thaipisutikul and Timothy K. 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