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Towards a Multi-View Attentive Matching for Personalized Expert Finding.

, , , , , , and . WWW, page 2131-2140. ACM, (2022)

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Are you ready for artificial Mozart and Skrillex? An experiment testing expectancy violation theory and AI music., , and . New Media Soc., (2021)Deep expertise and interest personalized transformer for expert finding., , , , , and . Inf. Process. Manag., 61 (5): 103773 (2024)Review-LLM: Harnessing Large Language Models for Personalized Review Generation., , , , , and . CoRR, (2024)NRSA: Neural Recommendation with Summary-Aware Attention., , , , , and . KSEM (1), volume 11775 of Lecture Notes in Computer Science, page 128-140. Springer, (2019)ExpertBert: Pretraining Expert Finding., , , , and . CIKM, page 4244-4248. ACM, (2022)Efficient Non-sampling Expert Finding., , , , and . CIKM, page 4239-4243. ACM, (2022)Physical Confinement and Cell Proximity Increase Cell Migration Rates and Invasiveness: A Mathematical Model of Cancer Cell Invasion through Flexible Channels., , and . CoRR, (2022)Point Forces and Their Alternatives in Cell-Based Models for Skin Contraction., and . ENUMATH, volume 139 of Lecture Notes in Computational Science and Engineering, page 763-771. Springer, (2019)Neural Unified Review Recommendation with Cross Attention., , , , and . SIGIR, page 1789-1792. ACM, (2020)Towards Personalized Review Generation with Gated Multi-source Fusion Network., , , , , and . DASFAA (3), volume 13247 of Lecture Notes in Computer Science, page 322-330. Springer, (2022)