{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T04:20:10Z","timestamp":1778559610972,"version":"3.51.4"},"reference-count":33,"publisher":"Association for Computing Machinery (ACM)","issue":"3","license":[{"start":{"date-parts":[[2017,3,6]],"date-time":"2017-03-06T00:00:00Z","timestamp":1488758400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["71110107027\/71490724\/71329201\/71531001"],"award-info":[{"award-number":["71110107027\/71490724\/71329201\/71531001"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"MOE Project of Key Research Institute of Humanities and Social Sciences at Universities","award":["12JJD630001"],"award-info":[{"award-number":["12JJD630001"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Knowl. Discov. Data"],"published-print":{"date-parts":[[2017,8,31]]},"abstract":"<jats:p>\n            Product bundling is a marketing strategy that offers several products\/items for sale as one bundle. While the bundling strategy has been widely used, less efforts have been made to understand how items should be bundled with respect to consumers\u2019 preferences and buying motives for product bundles. This article investigates the relationships between the items that are bought together within a product bundle. To that end, each purchased product bundle is formulated as a bundle graph with items as nodes and the associations between pairs of items in the bundle as edges. The relationships between items can be analyzed by the formation of edges in bundle graphs, which can be attributed to the associations of feature aspects. Then, a probabilistic model BPM (Bundle Purchases with Motives) is proposed to capture the composition of each bundle graph, with two latent factors\n            <jats:italic>node-type<\/jats:italic>\n            and\n            <jats:italic>edge-type<\/jats:italic>\n            introduced to describe the feature aspects and relationships respectively. Furthermore, based on the preferences inferred from the model, an approach for recommending items to form product bundles is developed by estimating the probability that a consumer would buy an associative item together with the item already bought in the shopping cart. Finally, experimental results on real-world transaction data collected from well-known shopping sites show the effectiveness advantages of the proposed approach over other baseline methods. Moreover, the experiments also show that the proposed model can explain consumers\u2019 buying motives for product bundles in terms of different\n            <jats:italic>node-types<\/jats:italic>\n            and\n            <jats:italic>edge-types<\/jats:italic>\n            .\n          <\/jats:p>","DOI":"10.1145\/3022185","type":"journal-article","created":{"date-parts":[[2017,3,7]],"date-time":"2017-03-07T19:12:04Z","timestamp":1488913924000},"page":"1-26","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":31,"title":["Modeling Buying Motives for Personalized Product Bundle Recommendation"],"prefix":"10.1145","volume":"11","author":[{"given":"Guannan","family":"Liu","sequence":"first","affiliation":[{"name":"Beihang University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanjie","family":"Fu","sequence":"additional","affiliation":[{"name":"Missouri University of Science and Technology, Rolla, MO"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guoqing","family":"Chen","sequence":"additional","affiliation":[{"name":"Tsinghua University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hui","family":"Xiong","sequence":"additional","affiliation":[{"name":"Rutgers University, Newark, NJ"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Can","family":"Chen","sequence":"additional","affiliation":[{"name":"Rutgers University, Newark, NJ"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2017,3,6]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2005.99"},{"key":"e_1_2_1_2_1","volume-title":"Proceedings of Advances in Neural Information Processing Systems Conference. 33--40","author":"Airoldi Edoardo M.","unstructured":"Edoardo M. Airoldi , David M. Blei , Stephen E. Fienberg , and Eric P. Xing . 2009. Mixed membership stochastic blockmodels . In Proceedings of Advances in Neural Information Processing Systems Conference. 33--40 . Edoardo M. Airoldi, David M. Blei, Stephen E. Fienberg, and Eric P. Xing. 2009. Mixed membership stochastic blockmodels. In Proceedings of Advances in Neural Information Processing Systems Conference. 33--40."},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.45.12.1613"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623733"},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1214\/07-AOAS114"},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.5555\/944919.944937"},{"key":"e_1_2_1_7_1","first-page":"81","article-title":"Relational topic models for document networks","volume":"9","author":"Chang Jonathan","year":"2009","unstructured":"Jonathan Chang and David M. Blei . 2009 . Relational topic models for document networks . In AIStats , Vol. 9. 81 -- 88 . Jonathan Chang and David M. Blei. 2009. Relational topic models for document networks. In AIStats, Vol. 9. 81--88.","journal-title":"AIStats"},{"key":"e_1_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2012.137"},{"key":"e_1_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1287\/mksc.2013.0810"},{"key":"e_1_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2006.05.005"},{"key":"e_1_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/2559169"},{"key":"e_1_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/2594455"},{"key":"e_1_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/2488388.2488432"},{"key":"e_1_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/0148-2963(94)00014-6"},{"key":"e_1_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/2043932.2043946"},{"key":"e_1_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2009.263"},{"key":"e_1_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2014.48"},{"key":"e_1_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2015.78"},{"key":"e_1_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/2396761.2396848"},{"key":"e_1_2_1_20_1","volume-title":"Proceedings of Advances in Neural Information Processing Systems Conference. 1257--1264","author":"Mnih Andriy","year":"2007","unstructured":"Andriy Mnih and Ruslan Salakhutdinov . 2007 . Probabilistic matrix factorization . In Proceedings of Advances in Neural Information Processing Systems Conference. 1257--1264 . Andriy Mnih and Ruslan Salakhutdinov. 2007. Probabilistic matrix factorization. In Proceedings of Advances in Neural Information Processing Systems Conference. 1257--1264."},{"key":"e_1_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401957"},{"key":"e_1_2_1_22_1","volume-title":"Jerry Corrie Olson, and Klaus G. Grunert","author":"Peter J. Paul","year":"1999","unstructured":"J. Paul Peter , Jerry Corrie Olson, and Klaus G. Grunert . 1999 . Consumer Behavior and Marketing Strategy. McGraw-Hill , London. J. Paul Peter, Jerry Corrie Olson, and Klaus G. Grunert. 1999. Consumer Behavior and Marketing Strategy. McGraw-Hill, London."},{"key":"e_1_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-85820-3"},{"key":"e_1_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1509\/jmkg.66.1.55.18455"},{"key":"e_1_2_1_25_1","volume-title":"Introduction to Data Mining","author":"Tan Pang-Ning","unstructured":"Pang-Ning Tan and Vipin Kumar . 2005. Association analysis: Basic concepts and algorithms . In Introduction to Data Mining , Chapter 6. Addison-Wesley . ISBN 321321367. Pang-Ning Tan and Vipin Kumar. 2005. Association analysis: Basic concepts and algorithms. In Introduction to Data Mining, Chapter 6. Addison-Wesley. 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