{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,16]],"date-time":"2026-04-16T14:49:57Z","timestamp":1776350997556,"version":"3.51.2"},"reference-count":53,"publisher":"Association for Computing Machinery (ACM)","issue":"4","license":[{"start":{"date-parts":[[2021,11,30]],"date-time":"2021-11-30T00:00:00Z","timestamp":1638230400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM\/IMS Trans. Data Sci."],"published-print":{"date-parts":[[2021,11,30]]},"abstract":"<jats:p>\n                    Economic-wise, a common goal for companies conducting marketing is to maximize the return revenue\/profit by utilizing the various effective marketing strategies. Consumer behavior is crucially important in economy and targeted marketing, in which behavioral economics can provide valuable insights to identify the biases and profit from customers. Finding credible and reliable information on products\u2019 profitability is, however, quite difficult since most products tend to peak at certain times w.r.t. seasonal sales cycles in a year.\n                    <jats:bold>On-Shelf Availability (OSA)<\/jats:bold>\n                    plays a key factor for performance evaluation. Besides, staying ahead of hot product trends means we can increase marketing efforts without selling out the inventory. To fulfill this gap, in this paper, we first propose a general profit-oriented framework to address the problem of revenue maximization based on economic behavior, and compute the\n                    <jats:bold>\n                      <jats:underline>O<\/jats:underline>\n                      n-shelf\n                      <jats:underline>P<\/jats:underline>\n                      opular and most\n                      <jats:underline>P<\/jats:underline>\n                      rofitable\n                      <jats:underline>P<\/jats:underline>\n                      roducts (OPPPs)\n                    <\/jats:bold>\n                    for the targeted marketing. To tackle the revenue maximization problem, we model the k-satisfiable product concept and propose an algorithmic framework for searching OPPP and its variants. Extensive experiments are conducted on several real-world datasets to evaluate the effectiveness and efficiency of the proposed algorithm.\n                  <\/jats:p>","DOI":"10.1145\/3488058","type":"journal-article","created":{"date-parts":[[2022,2,23]],"date-time":"2022-02-23T17:11:38Z","timestamp":1645636298000},"page":"1-21","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Towards Revenue Maximization with Popular and Profitable Products"],"prefix":"10.1145","volume":"2","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5781-8116","authenticated-orcid":false,"given":"Wensheng","family":"Gan","sequence":"first","affiliation":[{"name":"Jinan University, Guangzhou, Guangdong province, China"}]},{"given":"Guoting","family":"Chen","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology (Shenzhen), Shenzhen, Guangdong Province, China"}]},{"given":"Hongzhi","family":"Yin","sequence":"additional","affiliation":[{"name":"The University of Queensland, Brisbane, QLD, Australia"}]},{"given":"Philippe","family":"Fournier-Viger","sequence":"additional","affiliation":[{"name":"Shenzhen University, Shenzhen, Guangdong Province, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6502-472X","authenticated-orcid":false,"given":"Chien-Ming","family":"Chen","sequence":"additional","affiliation":[{"name":"Shandong University of Science and Technology, Qingdao, Shandong Province, China"}]},{"given":"Philip S.","family":"Yu","sequence":"additional","affiliation":[{"name":"University of Illinois at Chicago, Chicago, USA"}]}],"member":"320","published-online":{"date-parts":[[2022,5,24]]},"reference":[{"key":"e_1_3_2_2_2","first-page":"487","volume-title":"Proceedings of the 20th International Conference on Very Large Data Bases","volume":"1215","author":"Agrawal Rakesh","year":"1994","unstructured":"Rakesh Agrawal, Ramakrishnan Srikant, et\u00a0al. 1994. 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