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Modeling High-order Interactions across Multi-interests for Micro-video Reommendation
Personalized recommendation system has become pervasive in various video...
04/01/2021 ∙ by Dong Yao, et al. ∙
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Ensembled CTR Prediction via Knowledge Distillation
Recently, deep learning-based models have been widely studied for click-...
11/08/2020 ∙ by Jieming Zhu, et al. ∙
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FuxiCTR: An Open Benchmark for Click-Through Rate Prediction
In many applications, such as recommender systems, online advertising, a...
09/12/2020 ∙ by Jieming Zhu, et al. ∙
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Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach
Tagging has been recognized as a successful practice to boost relevance ...
08/26/2020 ∙ by Kelong Mao, et al. ∙
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Regularized Two-Branch Proposal Networks for Weakly-Supervised Moment Retrieval in Videos
Video moment retrieval aims to localize the target moment in an video ac...
08/19/2020 ∙ by Zhu Zhang, et al. ∙
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Loghub: A Large Collection of System Log Datasets towards Automated Log Analytics
Logs have been widely adopted in software system development and mainten...
08/14/2020 ∙ by Shilin He, et al. ∙
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Logzip: Extracting Hidden Structures via Iterative Clustering for Log Compression
System logs record detailed runtime information of software systems and ...
09/24/2019 ∙ by Jinyang Liu, et al. ∙
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Tools and Benchmarks for Automated Log Parsing
Logs are imperative in the development and maintenance process of many s...
11/08/2018 ∙ by Jieming Zhu, et al. ∙
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A Directed Acyclic Graph Approach to Online Log Parsing
Logs are widely used in modern software system management because they a...
06/12/2018 ∙ by Pinjia He, et al. ∙
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