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Recommender systems (RS) have become crucial tools for information filtering in various real world scenarios.
Multi-domain recommendation with embedding disentangling and domain alignment, in: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, pp. 1917–1927
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Towards automatic discovering of deep hybrid network architecture for sequential recommendation, in: Proceedings of the ACM Web Conference 2022, pp. 1923–1932
Cheng, M., Liu, Z., Liu, Q., Ge, S., Chen, E., 2022 · 1932
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Cross-domain mediation in collaborative filtering, in: User Modeling 2007: 11th International Conference, UM 2007, Corfu, Greece, July 25-29, 2007. Proceedings 11, Springer. pp. 355–359
Berkovsky, S., Kuflik, T., Ricci, F., 2007 · 2007
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Applying cross-level association rule mining to cold-start recommendations, in: 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology-Workshops, IEEE. pp. 133–136
Leung, C.W.k., Chan, S.C.f., Chung, F.l., 2007 · 2007
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Relational learning via collective matrix factorization, in: Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 650–658
Singh, A.P., Gordon, G.J., 2008 · 2008
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Can movies and books collaborate? cross-domain collaborative filtering for sparsity reduction, in: Twenty-First international joint conference on artificial intelligence
Li, B., Yang, Q., Xue, X., 2009 · 2009
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An image is worth 16x16 words: Transformers for image recognition at scale
Dosovitskiy, A., 2020 · 2010
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Cross-domain collaboration recommendation, in: Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 1285–1293
Tang, J., Wu, S., Sun, J., Su, H., 2012 · 2012
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Personalized recommendation via cross-domain triadic factorization, in: Proceedings of the 22nd international conference on World Wide Web, pp. 595–606
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The algorithmic foundations of differential privacy
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On handling negative transfer and imbalanced distributions in multiple source transfer learning
Ge, L., Gao, J., Ngo, H., Li, K., Zhang, A., 2014 · 2014
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Matching users and items across domains to improve the recommendation quality, in: Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 801–810
Li, C.Y., Lin, S.D., 2014 · 2014
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Cross-domain collaborative filtering with factorization machines, in: Advances in Information Retrieval: 36th European Conference on IR Research, ECIR 2014, Amsterdam, The Netherlands, April 13-16, 2014. Proceedings 36, Springer. pp. 656–661
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Model-agnostic meta-learning for fast adaptation of deep networks, in: International conference on machine learning, PMLR. pp. 1126–1135
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Cross-domain recommendation: An embedding and mapping approach., in: IJCAI, pp. 2464–2470
Man, T., Shen, H., Jin, X., Cheng, X., 2017 · 2017
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Conet: Collaborative cross networks for cross-domain recommendation, in: Proceedings of the 27th ACM international conference on information and knowledge management, pp. 667–676
Hu, G., Zhang, Y., Yang, Q., 2018 · 2018
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Entire space multi-task model: An effective approach for estimating post-click conversion rate, in: The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, pp. 1137–1140
Ma, X., Zhao, L., Huang, G., Wang, Z., Hu, Z., Zhu, X., Gai, K., 2018 · 2018
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Sequential scenario-specific meta learner for online recommendation, in: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp. 2895–2904
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Expert knowledge recommendation systems based on conceptual similarity and space mapping
Gao, L., Dai, K., Gao, L., Jin, T., 2019 · 2019
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Semi-supervised learning for cross-domain recommendation to cold-start users, in: Proceedings of the 28th ACM international conference on information and knowledge management, pp. 1563–1572
Kang, S., Hwang, J., Lee, D., Yu, H., 2019 · 2019
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Bert: Pre-training of deep bidirectional transformers for language understanding, in: Proceedings of naacL-HLT, Minneapolis, Minnesota. p. 2
Kenton, J.D.M.W.C., Toutanova, L.K., 2019 · 2019
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Loss-balanced task weighting to reduce negative transfer in multi-task learning, in: Proceedings of the AAAI conference on artificial intelligence, pp. 9977–9978
Liu, S., Liang, Y., Gitter, A., 2019 · 2019
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π \pi -net: A parallel information-sharing network for shared-account cross-domain sequential recommendations, in: Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, Association for Computing Machinery, New York, NY, USA. p. 685–694
Ma, M., Ren, P., Lin, Y., Chen, Z., Ma, J., Rijke, M.d., 2019 · 2019
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Characterizing and avoiding negative transfer, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp. 11293–11302
Wang, Z., Dai, Z., Póczos, B., Carbonell, J., 2019 · 2019
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Cross-domain recommendation via preference propagation graphnet, in: Proceedings of the 28th ACM international conference on information and knowledge management, pp. 2165–2168
Zhao, C., Li, C., Fu, C., 2019 · 2019
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Learning transferable user representations with sequential behaviors via contrastive pre-training, in: 2021 IEEE International Conference on Data Mining (ICDM), IEEE. pp. 51–60
Cheng, M., Yuan, F., Liu, Q., Xin, X., Chen, E., 2021b · 2021
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Guo, L., Tang, L., Chen, T., Zhu, L., Nguyen, Q.V.H., Yin, H., 2021 · 2021
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Adversarial feature translation for multi-domain recommendation, in: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, pp. 2964–2973
Hao, X., Liu, Y., Xie, R., Ge, K., Tang, L., Zhang, X., Lin, L., 2021 · 2021
Cited alongside, same era.
Dual metric learning for effective and efficient cross-domain recommendations
Li, P., Tuzhilin, A., 2021 · 2021
Cited alongside, same era.
Towards source-aligned variational models for cross-domain recommendation, in: Proceedings of the 15th ACM Conference on Recommender Systems, pp. 176–186
Salah, A., Tran, T.B., Lauw, H., 2021 · 2021
Cited alongside, same era.
Sar-net: A scenario-aware ranking network for personalized fair recommendation in hundreds of travel scenarios, in: Proceedings of the 30th ACM International Conference on Information & Knowledge Management, pp. 4094–4103
Shen, Q., Tao, W., Zhang, J., Wen, H., Chen, Z., Lu, Q., 2021 · 2021
Cited alongside, same era.
One model for all: Large language models are domain-agnostic recommendation systems
Tang, Z., Huan, Z., Li, Z., Zhang, X., Hu, J., Fu, C., Zhou, J., Li, C., 2023 · 2023
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Correlative preference transfer with hierarchical hypergraph network for multi-domain recommendation, in: Proceedings of the ACM Web Conference 2023, pp. 983–991
Xu, Z., Wei, P., Liu, S., Zhang, W., Wang, L., Zheng, B., 2023b · 2023
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Multimodal optimal transport knowledge distillation for cross-domain recommendation, in: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, pp. 2959–2968
Yang, W., Yang, J., Liu, Y., 2023 · 2023
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Dream: Decoupled representation via extraction attention module and supervised contrastive learning for cross-domain sequential recommender, in: Proceedings of the 17th ACM Conference on Recommender Systems, pp. 479–490
Ye, X., Li, Y., Yao, L., 2023 · 2023
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One model to serve all: Star topology adaptive recommender for multi-domain ctr prediction, in: Proceedings of the 30th ACM International Conference on Information & Knowledge Management, pp. 4104–4113
Sheng, X.R., Zhao, L., Zhou, G., Ding, X., Dai, B., Luo, Q., Yang, S., Lv, J., Zhang, C., Deng, H., et al., 2021 · 2021
Cited alongside, same era.
Parallel split-join networks for shared account cross-domain sequential recommendations
Sun, W., Ma, M., Ren, P., Lin, Y., Chen, Z., Ren, Z., Ma, J., de Rijke, M., 2023b · 2021
Cited alongside, same era.
Expanding relationship for cross domain recommendation, in: Proceedings of the 30th ACM International Conference on Information & Knowledge Management, pp. 2251–2260
Xu, K., Xie, Y., Chen, L., Zheng, Z., 2021 · 2021
Cited alongside, same era.
Based domain disentanglement without duplicate users or contexts for cross-domain recommendation, in: Proceedings of the 31st ACM International Conference on Information & Knowledge Management, pp. 293–303
Choi, Y., Choi, J., Ko, T., Byun, H., Kim, C.K., 2022 · 2022
Cited alongside, same era.
Towards universal sequence representation learning for recommender systems, in: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp. 585–593
Hou, Y., Mu, S., Zhao, W.X., Li, Y., Ding, B., Wen, J.R., 2022 · 2022
Cited alongside, same era.
Gres: Graphical cross-domain recommendation for supply chain platform, in: Proceedings of the 31st ACM International Conference on Information & Knowledge Management, pp. 4094–4098
Jing, Z., Zhao, Z., Feng, Y., Ma, X., Wu, N., Kang, S., Yang, C., Zhang, Y., Guo, H., 2022 · 2022
Cited alongside, same era.
A hierarchical attention network for cross-domain group recommendation 35, 3859–3873
Liang, R., Zhang, Q., Wang, J., Lu, J., · 2022
Cited alongside, same era.
Dynamics-aware adaptation for reinforcement learning based cross-domain interactive recommendation, in: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 290–300
Wu, J., Xie, Z., Yu, T., Zhao, H., Zhang, R., Li, S., 2022 · 2022
Cited alongside, same era.
Cross-domain recommendation via user interest alignment, in: Proceedings of the ACM Web Conference 2023, pp. 887–896
Zhao, C., Zhao, H., He, M., Zhang, J., Fan, J., 2023b · 2023
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Dual interests-aligned graph auto-encoders for cross-domain recommendation in wechat, in: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, pp. 4988–4994
Zheng, J., Gu, H., Song, C., Lin, D., Yi, L., Chen, C., 2023 · 2023
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Domain disentanglement with interpolative data augmentation for dual-target cross-domain recommendation, in: Proceedings of the 17th ACM Conference on Recommender Systems, pp. 515–527
Zhu, J., Wang, Y., Zhu, F., Sun, Z., 2023 · 2023
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Improving adversarial robustness for recommendation model via cross-domain distributional adversarial training, in: Proceedings of the 18th ACM Conference on Recommender Systems, pp. 278–286
Chen, J., Zhang, L., Yang, N., 2024 · 2024
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Exploring adapter-based transfer learning for recommender systems: Empirical studies and practical insights, in: Proceedings of the 17th ACM international conference on web search and data mining, pp. 208–217
Fu, J., Yuan, F., Song, Y., Yuan, Z., Cheng, M., Cheng, S., Zhang, J., Wang, J., Pan, Y., 2024 · 2024
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Prompt-enhanced federated content representation learning for cross-domain recommendation, in: Proceedings of the ACM on Web Conference 2024, pp. 3139–3149
Guo, L., Lu, Z., Yu, J., Nguyen, Q.V.H., Yin, H., 2024 · 2024
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Ecat: A entire space continual and adaptive transfer learning framework for cross-domain recommendation, in: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 2885–2889
Hou, C., Zhou, Y., Cao, Y., Liu, T., 2024 · 2024
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Reformulating sequential recommendation: Learning dynamic user interest with content-enriched language modeling, in: International Conference on Database Systems for Advanced Applications, Springer. pp. 353–362
Jiang, J., Qu, S., Cheng, M., Liu, Q., Liu, Z., Zhang, H., Zhang, R., Zhang, K., Li, R., Li, J., et al., 2024 · 2024
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Decocdr: Deployable cloud-device collaboration for cross-domain recommendation, in: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 2114–2123
Li, Y., Zhang, Y., Zhou, Z., Li, Q., 2024 · 2024
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User distribution mapping modelling with collaborative filtering for cross domain recommendation, in: Proceedings of the ACM on Web Conference 2024, pp. 334–343
Liu, W., Chen, C., Liao, X., Hu, M., Su, J., Tan, Y., Wang, F., 2024b · 2024
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Cross-reconstructed augmentation for dual-target cross-domain recommendation, in: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 2352–2356
Mao, Q., Liu, Q., Li, Z., Wu, L., Lv, B., Zhang, Z., 2024 · 2024
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C 2 dr: Robust cross-domain recommendation based on causal disentanglement, in: Proceedings of the 17th ACM International Conference on Web Search and Data Mining, pp. 341–349
Menglin, K., Wang, J., Pan, Y., Zhang, H., Hou, M., 2024 · 2024
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Fedud: Exploiting unaligned data for cross-platform federated click-through rate prediction, in: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 2416–2420
Ouyang, W., Dong, R., Tao, R., Liu, X., 2024 · 2024
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Instructing and prompting large language models for explainable cross-domain recommendations, in: Proceedings of the 18th ACM Conference on Recommender Systems, pp. 298–308
Petruzzelli, A., Musto, C., Laraspata, L., Rinaldi, I., de Gemmis, M., Lops, P., Semeraro, G., 2024 · 2024
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Cross-domain latent factors sharing via implicit matrix factorization, in: Proceedings of the 18th ACM Conference on Recommender Systems, pp. 309–317
Samra, A., Frolov, E., Vasilev, A., Grigorevskiy, A., Vakhrushev, A., 2024 · 2024
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Pmg: Personalized multimodal generation with large language models, in: Proceedings of the ACM on Web Conference 2024, pp. 3833–3843
Shen, X., Zhang, R., Zhao, X., Zhu, J., Xiao, X., 2024b · 2024
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Mitigating negative transfer in cross-domain recommendation via knowledge transferability enhancement, in: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp. 2745–2754
Song, Z., Zhang, W., Deng, L., Zhang, J., Wu, Z., Bian, K., Cui, B., 2024 · 2024
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Cmclrec: Cross-modal contrastive learning for user cold-start sequential recommendation, in: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1589–1598
Xu, X., Dong, H., Qi, L., Zhang, X., Xiang, H., Xia, X., Xu, Y., Dou, W., 2024 · 2024
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Not all embeddings are created equal: Towards robust cross-domain recommendation via contrastive learning, in: Proceedings of the ACM on Web Conference 2024, pp. 3195–3206
Yang, W., Jian, Y., Wang, Y., Lu, S., Shen, L., Wang, B., Tang, H., Zhang, L., 2024a · 2024
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Bridging the information gap between domain-specific model and general llm for personalized recommendation, in: Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data, Springer. pp. 280–294
Zhang, W., Liu, H., Dong, Z., Du, Y., Zhu, C., Song, Y., Zhu, H., Wu, Z., 2024 · 2024
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Zhao, S., Sahebi, S., 2024 · 2024
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Pacer and runner: Cooperative learning framework between single-and cross-domain sequential recommendation, in: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 2071–2080
Park, C., Kim, T., Yoon, H., Hong, J., Yu, Y., Cho, M., Choi, M., Choo, J., 2024 · 2080
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