{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,8]],"date-time":"2026-02-08T06:21:40Z","timestamp":1770531700555,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":76,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,10,8]],"date-time":"2024-10-08T00:00:00Z","timestamp":1728345600000},"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":[[2024,10,8]]},"DOI":"10.1145\/3640457.3688123","type":"proceedings-article","created":{"date-parts":[[2024,10,8]],"date-time":"2024-10-08T15:39:28Z","timestamp":1728401968000},"page":"340-349","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":10,"title":["Bridging Search and Recommendation in Generative Retrieval: Does One Task Help the Other?"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7373-0800","authenticated-orcid":false,"given":"Gustavo","family":"Penha","sequence":"first","affiliation":[{"name":"Tech Research, Spotify, Netherlands"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9342-5272","authenticated-orcid":false,"given":"Ali","family":"Vardasbi","sequence":"additional","affiliation":[{"name":"Tech Research, Spotify, Netherlands"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3898-7480","authenticated-orcid":false,"given":"Enrico","family":"Palumbo","sequence":"additional","affiliation":[{"name":"Tech Research, Spotify, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8466-3933","authenticated-orcid":false,"given":"Marco","family":"De Nadai","sequence":"additional","affiliation":[{"name":"Tech Research, Spotify, Denmark"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2315-8268","authenticated-orcid":false,"given":"Hugues","family":"Bouchard","sequence":"additional","affiliation":[{"name":"Tech Research, Spotify, Spain"}]}],"member":"320","published-online":{"date-parts":[[2024,10,8]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders. arXiv preprint arXiv:2404.05961","author":"BehnamGhader Parishad","year":"2024","unstructured":"Parishad BehnamGhader, Vaibhav Adlakha, Marius Mosbach, Dzmitry Bahdanau, Nicolas Chapados, and Siva Reddy. 2024. LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders. arXiv preprint arXiv:2404.05961 (2024)."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/138859.138861"},{"key":"e_1_3_2_1_3_1","volume-title":"Overview of the TREC 2022 deep learning track. In Text REtrieval Conference (TREC). NIST, TREC. https:\/\/www.microsoft.com\/en-us\/research\/publication\/overview-of-the-trec-2022-deep-learning-track\/","author":"Craswell Nick","year":"2023","unstructured":"Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin, Ellen\u00a0M. Voorhees, and Ian Soboroff. 2023. Overview of the TREC 2022 deep learning track. In Text REtrieval Conference (TREC). NIST, TREC. https:\/\/www.microsoft.com\/en-us\/research\/publication\/overview-of-the-trec-2022-deep-learning-track\/"},{"key":"e_1_3_2_1_4_1","volume-title":"Autoregressive entity retrieval. arXiv preprint arXiv:2010.00904","author":"De\u00a0Cao Nicola","year":"2020","unstructured":"Nicola De\u00a0Cao, Gautier Izacard, Sebastian Riedel, and Fabio Petroni. 2020. Autoregressive entity retrieval. arXiv preprint arXiv:2010.00904 (2020)."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/1242572.1242651"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3578337.3605136"},{"key":"e_1_3_2_1_7_1","volume-title":"Recommender systems in the era of large language models (llms). arXiv preprint arXiv:2307.02046","author":"Fan Wenqi","year":"2023","unstructured":"Wenqi Fan, Zihuai Zhao, Jiatong Li, Yunqing Liu, Xiaowei Mei, Yiqi Wang, Jiliang Tang, and Qing Li. 2023. Recommender systems in the era of large language models (llms). arXiv preprint arXiv:2307.02046 (2023)."},{"key":"e_1_3_2_1_8_1","volume-title":"SPLADE v2: Sparse lexical and expansion model for information retrieval. arXiv preprint arXiv:2109.10086","author":"Formal Thibault","year":"2021","unstructured":"Thibault Formal, Carlos Lassance, Benjamin Piwowarski, and St\u00e9phane Clinchant. 2021. SPLADE v2: Sparse lexical and expansion model for information retrieval. arXiv preprint arXiv:2109.10086 (2021)."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3523227.3546767"},{"key":"e_1_3_2_1_10_1","volume-title":"d.]. Zipf","author":"George K","year":"1935","unstructured":"K George. [n. d.]. Zipf. 1935. The psycho-biology of language."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2305016120"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3583780.3614657"},{"key":"e_1_3_2_1_13_1","volume-title":"The movielens datasets: History and context. Acm transactions on interactive intelligent systems (tiis) 5, 4","author":"Harper F\u00a0Maxwell","year":"2015","unstructured":"F\u00a0Maxwell Harper and Joseph\u00a0A Konstan. 2015. The movielens datasets: History and context. Acm transactions on interactive intelligent systems (tiis) 5, 4 (2015), 1\u201319."},{"key":"e_1_3_2_1_14_1","volume-title":"Session-based recommendations with recurrent neural networks. arXiv preprint arXiv:1511.06939","author":"Hidasi Bal\u00e1zs","year":"2015","unstructured":"Bal\u00e1zs Hidasi, Alexandros Karatzoglou, Linas Baltrunas, and Domonkos Tikk. 2015. Session-based recommendations with recurrent neural networks. arXiv preprint arXiv:1511.06939 (2015)."},{"key":"e_1_3_2_1_15_1","volume-title":"How to Index Item IDs for Recommendation Foundation Models. arXiv preprint arXiv:2305.06569","author":"Hua Wenyue","year":"2023","unstructured":"Wenyue Hua, Shuyuan Xu, Yingqiang Ge, and Yongfeng Zhang. 2023. How to Index Item IDs for Recommendation Foundation Models. arXiv preprint arXiv:2305.06569 (2023)."},{"key":"e_1_3_2_1_16_1","volume-title":"Unsupervised dense information retrieval with contrastive learning. arXiv preprint arXiv:2112.09118","author":"Izacard Gautier","year":"2021","unstructured":"Gautier Izacard, Mathilde Caron, Lucas Hosseini, Sebastian Riedel, Piotr Bojanowski, Armand Joulin, and Edouard Grave. 2021. Unsupervised dense information retrieval with contrastive learning. arXiv preprint arXiv:2112.09118 (2021)."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00035"},{"key":"e_1_3_2_1_18_1","unstructured":"Wang-Cheng Kang and Julian McAuley. 2018. Self-Attentive Sequential Recommendation. arxiv:1808.09781\u00a0[cs.IR]"},{"key":"e_1_3_2_1_19_1","volume-title":"Dense passage retrieval for open-domain question answering. arXiv preprint arXiv:2004.04906","author":"Karpukhin Vladimir","year":"2020","unstructured":"Vladimir Karpukhin, Barlas O\u011fuz, Sewon Min, Patrick Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, and Wen-tau Yih. 2020. Dense passage retrieval for open-domain question answering. arXiv preprint arXiv:2004.04906 (2020)."},{"key":"e_1_3_2_1_20_1","unstructured":"Varsha Kishore Chao Wan Justin Lovelace Yoav Artzi and Kilian\u00a0Q Weinberger. 2023. IncDSI: Incrementally Updatable Document Retrieval. (2023)."},{"key":"e_1_3_2_1_21_1","volume-title":"On information and sufficiency. The annals of mathematical statistics 22, 1","author":"Kullback Solomon","year":"1951","unstructured":"Solomon Kullback and Richard\u00a0A Leibler. 1951. On information and sufficiency. The annals of mathematical statistics 22, 1 (1951), 79\u201386."},{"key":"e_1_3_2_1_22_1","volume-title":"SPLADE-v3: New baselines for SPLADE. arXiv preprint arXiv:2403.06789","author":"Lassance Carlos","year":"2024","unstructured":"Carlos Lassance, Herv\u00e9 D\u00e9jean, Thibault Formal, and St\u00e9phane Clinchant. 2024. SPLADE-v3: New baselines for SPLADE. arXiv preprint arXiv:2403.06789 (2024)."},{"key":"e_1_3_2_1_23_1","unstructured":"Yongqi Li Xinyu Lin Wenjie Wang Fuli Feng Liang Pang Wenjie Li Liqiang Nie Xiangnan He and Tat-Seng Chua. 2024. A Survey of Generative Search and Recommendation in the Era of Large Language Models. arxiv:2404.16924\u00a0[cs.IR]"},{"key":"e_1_3_2_1_24_1","volume-title":"Multiview Identifiers Enhanced Generative Retrieval. arXiv preprint arXiv:2305.16675","author":"Li Yongqi","year":"2023","unstructured":"Yongqi Li, Nan Yang, Liang Wang, Furu Wei, and Wenjie Li. 2023. Multiview Identifiers Enhanced Generative Retrieval. arXiv preprint arXiv:2305.16675 (2023)."},{"key":"e_1_3_2_1_25_1","volume-title":"How can recommender systems benefit from large language models: A survey. arXiv preprint arXiv:2306.05817","author":"Lin Jianghao","year":"2023","unstructured":"Jianghao Lin, Xinyi Dai, Yunjia Xi, Weiwen Liu, Bo Chen, Xiangyang Li, Chenxu Zhu, Huifeng Guo, Yong Yu, Ruiming Tang, 2023. How can recommender systems benefit from large language models: A survey. arXiv preprint arXiv:2306.05817 (2023)."},{"key":"e_1_3_2_1_26_1","volume-title":"Pretrained transformers for text ranking: Bert and beyond","author":"Lin Jimmy","unstructured":"Jimmy Lin, Rodrigo Nogueira, and Andrew Yates. 2022. Pretrained transformers for text ranking: Bert and beyond. Springer Nature."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3616855.3635845"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3583780.3615077"},{"key":"e_1_3_2_1_29_1","volume-title":"Decoupled weight decay regularization. arXiv preprint arXiv:1711.05101","author":"Loshchilov Ilya","year":"2017","unstructured":"Ilya Loshchilov and Frank Hutter. 2017. Decoupled weight decay regularization. arXiv preprint arXiv:1711.05101 (2017)."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"crossref","unstructured":"Craig Macdonald Nicola Tonellotto Sean MacAvaney and Iadh Ounis. 2021. PyTerrier: Declarative experimentation in Python from BM25 to dense retrieval. 4526\u20134533\u00a0pages.","DOI":"10.1145\/3459637.3482013"},{"key":"e_1_3_2_1_31_1","volume-title":"Updating Transformer Memory with New Documents. arXiv preprint arXiv:2212.09744","author":"Mehta Sanket\u00a0Vaibhav","year":"2022","unstructured":"Sanket\u00a0Vaibhav Mehta, Jai Gupta, Yi Tay, Mostafa Dehghani, Vinh\u00a0Q Tran, Jinfeng Rao, Marc Najork, Emma Strubell, and Donald Metzler. 2022. DSI++: Updating Transformer Memory with New Documents. arXiv preprint arXiv:2212.09744 (2022)."},{"key":"e_1_3_2_1_32_1","volume-title":"Acm sigir forum, Vol.\u00a055. ACM New York","author":"Metzler Donald","unstructured":"Donald Metzler, Yi Tay, Dara Bahri, and Marc Najork. 2021. Rethinking search: making domain experts out of dilettantes. In Acm sigir forum, Vol.\u00a055. ACM New York, NY, USA, 1\u201327."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-28241-6_7"},{"key":"e_1_3_2_1_34_1","unstructured":"Tri Nguyen Mir Rosenberg Xia Song Jianfeng Gao Saurabh Tiwary Rangan Majumder and Li Deng. 2016. Ms marco: A human-generated machine reading comprehension dataset. (2016)."},{"key":"e_1_3_2_1_35_1","volume-title":"Passage Re-ranking with BERT. arXiv preprint arXiv:1901.04085","author":"Nogueira Rodrigo","year":"2019","unstructured":"Rodrigo Nogueira and Kyunghyun Cho. 2019. Passage Re-ranking with BERT. arXiv preprint arXiv:1901.04085 (2019)."},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1080\/01969722.2022.2062544"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3383313.3412249"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/3543507.3583261"},{"key":"e_1_3_2_1_39_1","volume-title":"How Does Generative Retrieval Scale to Millions of Passages?arXiv preprint arXiv:2305.11841","author":"Pradeep Ronak","year":"2023","unstructured":"Ronak Pradeep, Kai Hui, Jai Gupta, Adam\u00a0D Lelkes, Honglei Zhuang, Jimmy Lin, Donald Metzler, and Vinh\u00a0Q Tran. 2023. How Does Generative Retrieval Scale to Millions of Passages?arXiv preprint arXiv:2305.11841 (2023)."},{"key":"e_1_3_2_1_40_1","volume-title":"Rankvicuna: Zero-shot listwise document reranking with open-source large language models. arXiv preprint arXiv:2309.15088","author":"Pradeep Ronak","year":"2023","unstructured":"Ronak Pradeep, Sahel Sharifymoghaddam, and Jimmy Lin. 2023. Rankvicuna: Zero-shot listwise document reranking with open-source large language models. arXiv preprint arXiv:2309.15088 (2023)."},{"key":"e_1_3_2_1_41_1","volume-title":"Large language models are effective text rankers with pairwise ranking prompting. arXiv preprint arXiv:2306.17563","author":"Qin Zhen","year":"2023","unstructured":"Zhen Qin, Rolf Jagerman, Kai Hui, Honglei Zhuang, Junru Wu, Jiaming Shen, Tianqi Liu, Jialu Liu, Donald Metzler, Xuanhui Wang, 2023. Large language models are effective text rankers with pairwise ranking prompting. arXiv preprint arXiv:2306.17563 (2023)."},{"key":"e_1_3_2_1_42_1","volume-title":"Dataset shift in machine learning","author":"Qui\u00f1onero-Candela Joaquin","unstructured":"Joaquin Qui\u00f1onero-Candela, Masashi Sugiyama, Anton Schwaighofer, and Neil\u00a0D Lawrence. 2022. Dataset shift in machine learning. Mit Press."},{"key":"e_1_3_2_1_43_1","first-page":"1","article-title":"Exploring the limits of transfer learning with a unified text-to-text transformer","volume":"21","author":"Raffel Colin","year":"2020","unstructured":"Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter\u00a0J Liu. 2020. Exploring the limits of transfer learning with a unified text-to-text transformer. Journal of machine learning research 21, 140 (2020), 1\u201367.","journal-title":"Journal of machine learning research"},{"key":"e_1_3_2_1_44_1","volume-title":"Recommender Systems with Generative Retrieval. arXiv preprint arXiv:2305.05065","author":"Rajput Shashank","year":"2023","unstructured":"Shashank Rajput, Nikhil Mehta, Anima Singh, Raghunandan\u00a0H Keshavan, Trung Vu, Lukasz Heldt, Lichan Hong, Yi Tay, Vinh\u00a0Q Tran, Jonah Samost, 2023. Recommender Systems with Generative Retrieval. arXiv preprint arXiv:2305.05065 (2023)."},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1410"},{"key":"e_1_3_2_1_46_1","volume-title":"SIGIR\u201994","author":"Robertson E","unstructured":"Stephen\u00a0E Robertson and Steve Walker. 1994. Some simple effective approximations to the 2-poisson model for probabilistic weighted retrieval. In SIGIR\u201994. Springer, 232\u2013241."},{"key":"e_1_3_2_1_47_1","volume-title":"UniSAR: Modeling User Transition Behaviors between Search and Recommendation. arXiv preprint arXiv:2404.09520","author":"Shi Teng","year":"2024","unstructured":"Teng Shi, Zihua Si, Jun Xu, Xiao Zhang, Xiaoxue Zang, Kai Zheng, Dewei Leng, Yanan Niu, and Yang Song. 2024. UniSAR: Modeling User Transition Behaviors between Search and Recommendation. arXiv preprint arXiv:2404.09520 (2024)."},{"key":"e_1_3_2_1_48_1","volume-title":"When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation. arXiv preprint arXiv:2305.10822","author":"Si Zihua","year":"2023","unstructured":"Zihua Si, Zhongxiang Sun, Xiao Zhang, Jun Xu, Xiaoxue Zang, Yang Song, Kun Gai, and Ji-Rong Wen. 2023. When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation. arXiv preprint arXiv:2305.10822 (2023)."},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1145\/3640543.3645171"},{"key":"e_1_3_2_1_50_1","first-page":"16857","article-title":"Mpnet: Masked and permuted pre-training for language understanding","volume":"33","author":"Song Kaitao","year":"2020","unstructured":"Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, and Tie-Yan Liu. 2020. Mpnet: Masked and permuted pre-training for language understanding. Advances in Neural Information Processing Systems 33 (2020), 16857\u201316867.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357895"},{"key":"e_1_3_2_1_52_1","first-page":"21831","article-title":"Transformer memory as a differentiable search index","volume":"35","author":"Tay Yi","year":"2022","unstructured":"Yi Tay, Vinh Tran, Mostafa Dehghani, Jianmo Ni, Dara Bahri, Harsh Mehta, Zhen Qin, Kai Hui, Zhe Zhao, Jai Gupta, 2022. Transformer memory as a differentiable search index. Advances in Neural Information Processing Systems 35 (2022), 21831\u201321843.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_53_1","volume-title":"Beir: A heterogenous benchmark for zero-shot evaluation of information retrieval models. arXiv preprint arXiv:2104.08663","author":"Thakur Nandan","year":"2021","unstructured":"Nandan Thakur, Nils Reimers, Andreas R\u00fcckl\u00e9, Abhishek Srivastava, and Iryna Gurevych. 2021. Beir: A heterogenous benchmark for zero-shot evaluation of information retrieval models. arXiv preprint arXiv:2104.08663 (2021)."},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.5120\/19308-0760"},{"key":"e_1_3_2_1_55_1","volume-title":"Visualizing data using t-SNE.Journal of machine learning research 9, 11","author":"Maaten Laurens Van\u00a0der","year":"2008","unstructured":"Laurens Van\u00a0der Maaten and Geoffrey Hinton. 2008. Visualizing data using t-SNE.Journal of machine learning research 9, 11 (2008)."},{"key":"e_1_3_2_1_56_1","doi-asserted-by":"publisher","DOI":"10.1145\/2362394.2362395"},{"key":"e_1_3_2_1_57_1","volume-title":"Diverse beam search: Decoding diverse solutions from neural sequence models. arXiv preprint arXiv:1610.02424","author":"Vijayakumar K","year":"2016","unstructured":"Ashwin\u00a0K Vijayakumar, Michael Cogswell, Ramprasath\u00a0R Selvaraju, Qing Sun, Stefan Lee, David Crandall, and Dhruv Batra. 2016. Diverse beam search: Decoding diverse solutions from neural sequence models. arXiv preprint arXiv:1610.02424 (2016)."},{"key":"e_1_3_2_1_58_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-35341-3_25"},{"key":"e_1_3_2_1_59_1","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3591663"},{"key":"e_1_3_2_1_60_1","volume-title":"Rethinking the evaluation for conversational recommendation in the era of large language models. arXiv preprint arXiv:2305.13112","author":"Wang Xiaolei","year":"2023","unstructured":"Xiaolei Wang, Xinyu Tang, Wayne\u00a0Xin Zhao, Jingyuan Wang, and Ji-Rong Wen. 2023. Rethinking the evaluation for conversational recommendation in the era of large language models. arXiv preprint arXiv:2305.13112 (2023)."},{"key":"e_1_3_2_1_61_1","first-page":"25600","article-title":"A neural corpus indexer for document retrieval","volume":"35","author":"Wang Yujing","year":"2022","unstructured":"Yujing Wang, Yingyan Hou, Haonan Wang, Ziming Miao, Shibin Wu, Qi Chen, Yuqing Xia, Chengmin Chi, Guoshuai Zhao, Zheng Liu, 2022. A neural corpus indexer for document retrieval. Advances in Neural Information Processing Systems 35 (2022), 25600\u201325614.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_62_1","volume-title":"NOVO: Learnable and Interpretable Document Identifiers for Model-Based IR.","author":"Wang Zihan","year":"2023","unstructured":"Zihan Wang, Yujia Zhou, Yiteng Tu, and Zhicheng Dou. 2023. NOVO: Learnable and Interpretable Document Identifiers for Model-Based IR. (2023)."},{"key":"e_1_3_2_1_63_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3463069"},{"key":"e_1_3_2_1_64_1","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210181"},{"key":"e_1_3_2_1_65_1","volume-title":"Auto Search Indexer for End-to-End Document Retrieval. arXiv preprint arXiv:2310.12455","author":"Yang Tianchi","year":"2023","unstructured":"Tianchi Yang, Minghui Song, Zihan Zhang, Haizhen Huang, Weiwei Deng, Feng Sun, and Qi Zhang. 2023. Auto Search Indexer for End-to-End Document Retrieval. arXiv preprint arXiv:2310.12455 (2023)."},{"key":"e_1_3_2_1_66_1","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482489"},{"key":"e_1_3_2_1_67_1","doi-asserted-by":"publisher","DOI":"10.1145\/3298689.3346996"},{"key":"e_1_3_2_1_68_1","volume-title":"Collaborative ensemble learning: Combining collaborative and content-based information filtering via hierarchical Bayes. arXiv preprint arXiv:1212.2508","author":"Yu Kai","year":"2012","unstructured":"Kai Yu, Anton Schwaighofer, Volker Tresp, Wei-Ying Ma, and HongJiang Zhang. 2012. Collaborative ensemble learning: Combining collaborative and content-based information filtering via hierarchical Bayes. arXiv preprint arXiv:1212.2508 (2012)."},{"key":"e_1_3_2_1_69_1","volume-title":"Joint modeling and optimization of search and recommendation. arXiv preprint arXiv:1807.05631","author":"Zamani Hamed","year":"2018","unstructured":"Hamed Zamani and W\u00a0Bruce Croft. 2018. Joint modeling and optimization of search and recommendation. arXiv preprint arXiv:1807.05631 (2018)."},{"key":"e_1_3_2_1_70_1","doi-asserted-by":"publisher","DOI":"10.1145\/3336191.3371818"},{"key":"e_1_3_2_1_71_1","doi-asserted-by":"publisher","DOI":"10.1145\/3344257"},{"key":"e_1_3_2_1_72_1","volume-title":"Scalable and Effective Generative Information Retrieval. arXiv preprint arXiv:2311.09134","author":"Zeng Hansi","year":"2023","unstructured":"Hansi Zeng, Chen Luo, Bowen Jin, Sheikh\u00a0Muhammad Sarwar, Tianxin Wei, and Hamed Zamani. 2023. Scalable and Effective Generative Information Retrieval. arXiv preprint arXiv:2311.09134 (2023)."},{"key":"e_1_3_2_1_73_1","doi-asserted-by":"crossref","unstructured":"Hansi Zeng Chen Luo and Hamed Zamani. 2024. Planning Ahead in Generative Retrieval: Guiding Autoregressive Generation through Simultaneous Decoding. arxiv:2404.14600\u00a0[cs.IR]","DOI":"10.1145\/3626772.3657746"},{"key":"e_1_3_2_1_74_1","volume-title":"Model-enhanced Vector Index. arXiv preprint arXiv:2309.13335","author":"Zhang Hailin","year":"2023","unstructured":"Hailin Zhang, Yujing Wang, Qi Chen, Ruiheng Chang, Ting Zhang, Ziming Miao, Yingyan Hou, Yang Ding, Xupeng Miao, Haonan Wang, 2023. Model-enhanced Vector Index. arXiv preprint arXiv:2309.13335 (2023)."},{"key":"e_1_3_2_1_75_1","doi-asserted-by":"publisher","DOI":"10.1145\/3488560.3498414"},{"key":"e_1_3_2_1_76_1","doi-asserted-by":"crossref","unstructured":"Wayne\u00a0Xin Zhao Yupeng Hou Xingyu Pan Chen Yang Zeyu Zhang Zihan Lin Jingsen Zhang Shuqing Bian Jiakai Tang Wenqi Sun Yushuo Chen Lanling Xu Gaowei Zhang Zhen Tian Changxin Tian Shanlei Mu Xinyan Fan Xu Chen and Ji-Rong Wen. 2022. RecBole 2.0: Towards a More Up-to-Date Recommendation Library. In CIKM. ACM 4722\u20134726.","DOI":"10.1145\/3511808.3557680"}],"event":{"name":"RecSys '24: 18th ACM Conference on Recommender Systems","location":"Bari Italy","acronym":"RecSys '24","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":["18th ACM Conference on Recommender Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3640457.3688123","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3640457.3688123","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T00:58:32Z","timestamp":1750294712000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3640457.3688123"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,8]]},"references-count":76,"alternative-id":["10.1145\/3640457.3688123","10.1145\/3640457"],"URL":"https:\/\/doi.org\/10.1145\/3640457.3688123","relation":{},"subject":[],"published":{"date-parts":[[2024,10,8]]},"assertion":[{"value":"2024-10-08","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}