{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T14:14:24Z","timestamp":1785420864990,"version":"3.56.0"},"reference-count":59,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T00:00:00Z","timestamp":1746057600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T00:00:00Z","timestamp":1746057600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T00:00:00Z","timestamp":1746057600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key Research and Development Program of China","award":["2022YFB3104701"],"award-info":[{"award-number":["2022YFB3104701"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U24B20180"],"award-info":[{"award-number":["U24B20180"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62121002"],"award-info":[{"award-number":["62121002"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2025,5]]},"DOI":"10.1109\/tkde.2025.3540912","type":"journal-article","created":{"date-parts":[[2025,2,12]],"date-time":"2025-02-12T18:24:16Z","timestamp":1739384656000},"page":"2329-2340","source":"Crossref","is-referenced-by-count":69,"title":["CoLLM: Integrating Collaborative Embeddings Into Large Language Models for Recommendation"],"prefix":"10.1109","volume":"37","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7863-5183","authenticated-orcid":false,"given":"Yang","family":"Zhang","sequence":"first","affiliation":[{"name":"University of Science and Technology of China, Hefei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5828-9842","authenticated-orcid":false,"given":"Fuli","family":"Feng","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China, Hefei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jizhi","family":"Zhang","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China, Hefei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Keqin","family":"Bao","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China, Hefei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7570-5756","authenticated-orcid":false,"given":"Qifan","family":"Wang","sequence":"additional","affiliation":[{"name":"Meta AI, New York, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8472-7992","authenticated-orcid":false,"given":"Xiangnan","family":"He","sequence":"additional","affiliation":[{"name":"MoE Key Lab of Brain-inspired Intelligent Perception and Cognition, University of Science and Technology of China, Anhui, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","first-page":"27730","article-title":"Training language models to follow instructions with human feedback","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Ouyang"},{"key":"ref2","first-page":"1877","article-title":"Language models are few-shot learners","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Brown"},{"key":"ref3","article-title":"LLaMA: Open and efficient foundation language models","author":"Touvron","year":"2023"},{"key":"ref4","article-title":"A survey of large language models","author":"Zhao","year":"2023"},{"key":"ref5","first-page":"19730","article-title":"BLIP-2: Bootstrapping language-image pre-training with frozen image encoders and large language models","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Li"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-023-06291-2"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10161317"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2024.3360454"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3604915.3608845"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-024-01291-2"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2024.3392335"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3604915.3608857"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3604915.3608860"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2009.263"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/2872427.2883037"},{"key":"ref16","article-title":"Language models as recommender systems: Evaluations and limitations","volume-title":"Proc. I (Still) Can\u2019t Believe Not Better! NeurIPS Workshop","author":"Zhang"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3604915.3610646"},{"key":"ref18","article-title":"Chat-REC: Towards interactive and explainable LLMs-augmented recommender system","author":"Gao","year":"2023"},{"key":"ref19","article-title":"Do LLMs understand user preferences? evaluating LLMs on user rating prediction","author":"Kang","year":"2023"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3716393"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3708882"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645467"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3713080"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3145690"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3125252"},{"key":"ref26","article-title":"Language modeling is compression","volume-title":"Proc. 12th Int. Conf. Learn. Representations","author":"Del\u00e9tang","year":"2024"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.571"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401063"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3678004"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.aiopen.2023.08.001"},{"key":"ref31","article-title":"Is chatgpt a good recommender? a preliminary study","author":"Liu","year":"2023"},{"key":"ref32","article-title":"A large language model enhanced conversational recommender system","author":"Feng","year":"2023"},{"key":"ref33","article-title":"Recommender AI agent: Integrating large language models for interactive recommendations","author":"Huang","year":"2023"},{"key":"ref34","article-title":"Larger language models do in-context learning differently","author":"Wei","year":"2023"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645347"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE60146.2024.00118"},{"key":"ref37","article-title":"CTR-BERT: Cost-effective knowledge distillation for billion-parameter teacher models","volume-title":"Proc. NeurIPS Efficient Natural Lang. Speech Process. Workshop","author":"Muhamed"},{"key":"ref38","article-title":"Next-GPT: Any-to-any multimodal LLM, 2023","volume-title":"Proc. 41st Int. Conf. Mach. Learn.","author":"Wu","year":"2024"},{"key":"ref39","article-title":"MiniGPT-4: Enhancing vision-language understanding with advanced large language models","volume-title":"Proc. 12th Int. Conf. Learn. Representations","author":"Zhu"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.findings-emnlp.1055"},{"key":"ref41","first-page":"8469","article-title":"PaLM-E: An embodied multimodal language model","volume-title":"Proc. 40th Int. Conf. Mach. Learn.","author":"Driess"},{"key":"ref42","article-title":"Vicuna: An open-source chatbot impressing GPT-4 with 90% chatgpt quality","author":"Chiang","year":"2023"},{"key":"ref43","article-title":"Lora: Low-rank adaptation of large language models","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Hu"},{"key":"ref44","article-title":"Prompt cache: Modular attention reuse for low-latency inference","volume-title":"Proc. 7th Annu. Conf. Mach. Learn. Syst.","author":"Gim","year":"2024"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/2827872"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3591663"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/3569930"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401167"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482417"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1145\/582415.582418"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00035"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219823"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3591752"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1810.04805"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1145\/3523227.3546767"},{"key":"ref56","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Kingma"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-45014-9_1"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3079581"},{"key":"ref59","article-title":"Qwen2 technical report","author":"Yang","year":"2024"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/69\/10948402\/10882951.pdf?arnumber=10882951","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,7]],"date-time":"2025-04-07T03:24:46Z","timestamp":1743996286000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10882951\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5]]},"references-count":59,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tkde.2025.3540912","relation":{},"ISSN":["1041-4347","1558-2191","2326-3865"],"issn-type":[{"value":"1041-4347","type":"print"},{"value":"1558-2191","type":"electronic"},{"value":"2326-3865","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,5]]}}}