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Titlebook: Web and Big Data; 6th International Jo Bohan Li,Lin Yue,Toshiyuki Amagasa Conference proceedings 2023 The Editor(s) (if applicable) and The

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31#
發(fā)表于 2025-3-26 22:22:12 | 只看該作者
MISRec: Multi-Intention Sequential Recommendationted to recognize that in practice user interaction sequences exhibit multiple user intentions. However, they still suffer from two major limitations: (1) negligence of the dynamic evolution of individual intentions; (2) improper aggregation of multiple intentions. In this paper we propose a novel .u
32#
發(fā)表于 2025-3-27 04:44:38 | 只看該作者
MARS: A Multi-task Ranking Model for Recommending Micro-videosos. Moreover, the micro-video recommendation is often required to satisfy multiple business indicators. The existing models mainly utilize multi-modal features whose acquisition cost is too high for start-up companies. In the paper, we propose a multi-task ranking model MARS for recommending micro-v
33#
發(fā)表于 2025-3-27 06:33:09 | 只看該作者
34#
發(fā)表于 2025-3-27 12:32:59 | 只看該作者
Conference proceedings 2023AIM 2022, held in Nanjing, China, in August 2022..The 75 full papers presented together with 45 short papers, and 5 demonstration papers were carefully reviewed and selected from 297 submissions. The papers are organized around the following topics: Big Data Analytic and Management, Advanced databas
35#
發(fā)表于 2025-3-27 14:43:04 | 只看該作者
36#
發(fā)表于 2025-3-27 19:37:10 | 只看該作者
MARS: A Multi-task Ranking Model for Recommending Micro-videosARS adopts the multi-expert structure and mines historical statistical information besides interactions between users and micro-videos. Results of offline experiments and online A/B tests show that MARS can achieve good performances on two tasks. Further, MARS has been deployed in a real-world production environment, serving thousands of users.
37#
發(fā)表于 2025-3-27 22:57:23 | 只看該作者
0302-9743 e, APWeb-WAIM 2022, held in Nanjing, China, in August 2022..The 75 full papers presented together with 45 short papers, and 5 demonstration papers were carefully reviewed and selected from 297 submissions. The papers are organized around the following topics: Big Data Analytic and Management, Advanc
38#
發(fā)表于 2025-3-28 02:16:57 | 只看該作者
39#
發(fā)表于 2025-3-28 09:26:40 | 只看該作者
40#
發(fā)表于 2025-3-28 11:41:51 | 只看該作者
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