{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T19:08:30Z","timestamp":1776884910928,"version":"3.51.2"},"publisher-location":"New York, NY, USA","reference-count":47,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,9,13]],"date-time":"2022-09-13T00:00:00Z","timestamp":1663027200000},"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":[],"published-print":{"date-parts":[[2022,9,18]]},"DOI":"10.1145\/3523227.3546754","type":"proceedings-article","created":{"date-parts":[[2022,9,13]],"date-time":"2022-09-13T14:13:46Z","timestamp":1663078426000},"page":"237-245","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":19,"title":["BRUCE: Bundle Recommendation Using Contextualized item Embeddings"],"prefix":"10.1145","author":[{"given":"Tzoof","family":"Avny Brosh","sequence":"first","affiliation":[{"name":"Department of Software and Information Systems Engineering, Ben-Gurion University of the Negev, Israel"}]},{"given":"Amit","family":"Livne","sequence":"additional","affiliation":[{"name":"Department of Software and Information Systems Engineering, Ben-Gurion University of the Negev, Israel and Department of Software and Information Systems Engineering, Ben-Gurion University of the Negev, Israel"}]},{"given":"Oren","family":"Sar Shalom","sequence":"additional","affiliation":[{"name":"Meta, Israel and Meta, Israel"}]},{"given":"Bracha","family":"Shapira","sequence":"additional","affiliation":[{"name":"Department of Software and Information Systems Engineering, Ben-Gurion University of the Negev, Israel and Department of Software and Information Systems Engineering, Ben-Gurion University of the Negev, Israel"}]},{"given":"Mark","family":"Last","sequence":"additional","affiliation":[{"name":"Department of Software and Information Systems Engineering, Ben-Gurion University of the Negev, Israel and Department of Software and Information Systems Engineering, Ben-Gurion University of the Negev, Israel"}]}],"member":"320","published-online":{"date-parts":[[2022,9,13]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313568"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00799-015-0156-0"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.5267\/j.dsl.2017.4.005"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2016.08.013"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080779"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401198"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"crossref","unstructured":"Liang Chen Yang Liu Xiangnan He Lianli Gao and Zibin Zheng. 2019. Matching User with Item Set: Collaborative Bundle Recommendation with Deep Attention Network.. In IJCAI. 2095\u20132101.","DOI":"10.24963\/ijcai.2019\/290"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-23765-2_11"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3474085.3475440"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3412734"},{"key":"e_1_3_2_2_11_1","volume-title":"Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805(2018).","author":"Devlin Jacob","year":"2018","unstructured":"Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805(2018)."},{"key":"e_1_3_2_2_12_1","volume-title":"Proceedings of the thirteenth international conference on artificial intelligence and statistics. JMLR Workshop and Conference Proceedings, 201\u2013208","author":"Erhan Dumitru","year":"2010","unstructured":"Dumitru Erhan, Aaron Courville, Yoshua Bengio, and Pascal Vincent. 2010. Why does unsupervised pre-training help deep learning?. In Proceedings of the thirteenth international conference on artificial intelligence and statistics. JMLR Workshop and Conference Proceedings, 201\u2013208."},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.23919\/FUSION45008.2020.9190246"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2014.2303394"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2018.02.026"},{"key":"e_1_3_2_2_16_1","volume-title":"Recommender systems handbook","author":"Gunawardana Asela","unstructured":"Asela Gunawardana and Guy Shani. 2015. Evaluating recommender systems. In Recommender systems handbook. Springer, 265\u2013308."},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3240323.3240406"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052569"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","unstructured":"Remigio Hurtado Rodolfo Bojorque and C\u00e9sar\u00a0Andr\u00e9s Inga\u00a0Chalco. 2019. Clustering-Based Recommender System: Bundle Recommendation Using Matrix Factorization to Single User and User Communities. 330\u2013338. https:\/\/doi.org\/10.1007\/978-3-319-94229-2_32","DOI":"10.1007\/978-3-319-94229-2_32"},{"key":"e_1_3_2_2_20_1","unstructured":"Murium Iqbal Adair Kovac and Kamelia Aryafar. 2018. A Multimodal Recommender System for Large-scale Assortment Generation in E-commerce. arXiv preprint arXiv:1806.11226(2018)."},{"key":"e_1_3_2_2_21_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980(2014).","author":"Kingma P","year":"2014","unstructured":"Diederik\u00a0P Kingma and Jimmy Ba. 2014. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980(2014)."},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0305-0483(99)00019-5"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"crossref","unstructured":"Itzik Malkiel Oren Barkan Avi Caciularu Noam Razin Ori Katz and Noam Koenigstein. 2020. RecoBERT: A Catalog Language Model for Text-Based Recommendations. arxiv:2009.13292\u00a0[cs.IR]","DOI":"10.18653\/v1\/2020.findings-emnlp.154"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"crossref","unstructured":"Cataldo Musto M\u00a0d Gemmis Pasquale Lops Fedelucio Narducci and Giovanni Semeraro. 2021. Semantics and content-based recommendations. Recommender systems handbook(2021) 251.","DOI":"10.1007\/978-1-0716-2197-4_7"},{"key":"e_1_3_2_2_25_1","volume-title":"International Conference on Machine Learning. PMLR, 4055\u20134064","author":"Parmar Niki","year":"2018","unstructured":"Niki Parmar, Ashish Vaswani, Jakob Uszkoreit, Lukasz Kaiser, Noam Shazeer, Alexander Ku, and Dustin Tran. 2018. Image transformer. In International Conference on Machine Learning. PMLR, 4055\u20134064."},{"key":"e_1_3_2_2_26_1","volume-title":"Pytorch: An imperative style, high-performance deep learning library. Advances in neural information processing systems 32","author":"Paszke Adam","year":"2019","unstructured":"Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, 2019. Pytorch: An imperative style, high-performance deep learning library. Advances in neural information processing systems 32 (2019)."},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080724"},{"key":"e_1_3_2_2_28_1","volume-title":"Early stopping-but when?In Neural Networks: Tricks of the trade","author":"Prechelt Lutz","unstructured":"Lutz Prechelt. 1998. Early stopping-but when?In Neural Networks: Tricks of the trade. Springer, 55\u201369."},{"key":"e_1_3_2_2_29_1","volume-title":"Improving language understanding by generative pre-training","author":"Radford Alec","year":"2018","unstructured":"Alec Radford, Karthik Narasimhan, Tim Salimans, and Ilya Sutskever. 2018. Improving language understanding by generative pre-training (2018). URL https:\/\/s3-us-west-2.amazonaws.com\/openai-assets\/research-covers\/language-unsupervised\/language_understanding_paper.pdf(2018)."},{"key":"e_1_3_2_2_30_1","volume-title":"BPR: Bayesian personalized ranking from implicit feedback. arXiv preprint arXiv:1205.2618(2012).","author":"Rendle Steffen","year":"2012","unstructured":"Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, and Lars Schmidt-Thieme. 2012. BPR: Bayesian personalized ranking from implicit feedback. arXiv preprint arXiv:1205.2618(2012)."},{"key":"e_1_3_2_2_31_1","volume-title":"Recommender systems handbook","author":"Ricci Francesco","unstructured":"Francesco Ricci, Lior Rokach, and Bracha Shapira. 2011. Introduction to recommender systems handbook. In Recommender systems handbook(. ed.). Springer, 1\u201335."},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/2792838.2799670"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/2872427.2883057"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/26.668737"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/1101149.1101236"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357895"},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401128"},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","unstructured":"S.N. van Schaik J. Masthoff and A.T. Wibowo. 2020. Package recommender systems: A systematic review. Intelligent Decision Technologies 13 4 (2 2020) 435\u2013452. https:\/\/doi.org\/10.3233\/idt-190140","DOI":"10.3233\/idt-190140"},{"key":"e_1_3_2_2_39_1","unstructured":"Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan\u00a0N. Gomez Lukasz Kaiser and Illia Polosukhin. 2017. Attention Is All You Need. arxiv:1706.03762\u00a0[cs.CL]"},{"key":"e_1_3_2_2_40_1","volume-title":"Joint European Conference on Machine Learning and Knowledge Discovery in Databases. Springer, 297\u2013313","author":"Vijaikumar M","year":"2020","unstructured":"M Vijaikumar, Shirish Shevade, and M\u00a0Narasimha Murty. 2020. Gram-smot: Top-n personalized bundle recommendation via graph attention mechanism and submodular optimization. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases. Springer, 297\u2013313."},{"key":"e_1_3_2_2_41_1","volume-title":"Relational Graph Neural Network with Neighbor Interactions for Bundle Recommendation Service. In 2021 IEEE International Conference on Web Services (ICWS). IEEE, 167\u2013172","author":"Wang Xin","year":"2021","unstructured":"Xin Wang, Xiao Liu, Jin Liu, and Hao Wu. 2021. Relational Graph Neural Network with Neighbor Interactions for Bundle Recommendation Service. In 2021 IEEE International Conference on Web Services (ICWS). IEEE, 167\u2013172."},{"key":"e_1_3_2_2_42_1","unstructured":"Agung\u00a0Toto Wibowo Advaith Siddharthan Chenghua Lin and Judith Masthoff. 2017. Matrix Factorization for Package Recommendations. In ComplexRec@RecSys."},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/3209219.3209228"},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"publisher","DOI":"10.1109\/BESC.2015.7365954"},{"key":"e_1_3_2_2_45_1","volume-title":"Web-Age Information Management","author":"Yang Lei","unstructured":"Lei Yang, Richong Zhang, Hailong Sun, Xiaohui Guo, and Jinpeng Huai. 2012. A Tourist Itinerary Planning Approach Based on Ant Colony Algorithm. In Web-Age Information Management, Hong Gao, Lipyeow Lim, Wei Wang, Chuan Li, and Lei Chen (Eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, 399\u2013404."},{"key":"e_1_3_2_2_46_1","doi-asserted-by":"publisher","DOI":"10.1145\/2792838.2800178"},{"key":"e_1_3_2_2_47_1","doi-asserted-by":"crossref","unstructured":"Sen Zhao Wei Wei Ding Zou and Xianling Mao. 2022. Multi-view intent disentangle graph networks for bundle recommendation. arXiv preprint arXiv:2202.11425(2022).","DOI":"10.1609\/aaai.v36i4.20359"}],"event":{"name":"RecSys '22: Sixteenth ACM Conference on Recommender Systems","location":"Seattle WA USA","acronym":"RecSys '22","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGAI ACM Special Interest Group on Artificial Intelligence","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data","SIGIR ACM Special Interest Group on Information Retrieval","SIGCHI ACM Special Interest Group on Computer-Human Interaction"]},"container-title":["Proceedings of the 16th ACM Conference on Recommender Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3523227.3546754","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3523227.3546754","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:30:44Z","timestamp":1750188644000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3523227.3546754"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9,13]]},"references-count":47,"alternative-id":["10.1145\/3523227.3546754","10.1145\/3523227"],"URL":"https:\/\/doi.org\/10.1145\/3523227.3546754","relation":{},"subject":[],"published":{"date-parts":[[2022,9,13]]},"assertion":[{"value":"2022-09-13","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}