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Proceedings of the 17th ACM International Conference on Web Search and Data Mining最新文献

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Profiling Urban Mobility Patterns with High Spatial and Temporal Resolution: A Deep Dive into Cellphone Geo-position Data 以高时空分辨率剖析城市流动模式:深入研究手机地理位置数据
José Ignacio Huertas, Luisa Fernanda Chaparro Sierra
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引用次数: 0
The 5th International Workshop on Machine Learning on Graphs (MLoG) 第五届图上机器学习(MLoG)国际研讨会
Tyler Derr, Yao Ma, Kaize Ding, Tong Zhao, Nesreen K. Ahmed
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引用次数: 0
An Interpretable Brain Graph Contrastive Learning Framework for Brain Disorder Analysis 用于脑失调分析的可解释脑图对比学习框架
Xuexiong Luo, Guangwei Dong, Jia Wu, A. Beheshti, Jian Yang, Shan Xue
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引用次数: 0
Scaling Use-case Based Shopping using LLMs 使用 LLM 扩展基于用例的购物
S. Farfade, Sachin Vernekar, Vineet Chaoji, Rajdeep Mukherjee
Products on e-commerce websites are usually organized based on seller-provided product attributes. Customers looking for a product typically have certain needs or product use-cases in mind, for e.g., a headphone for gym classes, or a printer for a small business. However, they often struggle to map these use-cases to product attributes and subsequently fail to find the product they need. In this talk, we present a use-case based shopping (UBS) ML system that facilitates use-case based customer experiences (CXs). The UBS system recommends dominant product use-cases to customers along with most relevant products for those use-cases. Use-cases and their definitions vary across product categories and market-places (MPs). This makes training supervised models for thousands of e-commerce categories and multiple MPs infeasible by collecting large amount training data needed to train these models. In this talk, we present our work on scaling the UBS model by instruction tuning an LLM for our task.
电子商务网站上的产品通常根据卖家提供的产品属性进行组织。寻找产品的客户通常有特定的需求或产品使用案例,例如健身房的耳机或小企业的打印机。然而,他们往往很难将这些用例映射到产品属性上,从而无法找到他们需要的产品。在本讲座中,我们将介绍一个基于用例的购物(UBS)ML系统,它能促进基于用例的客户体验(CX)。UBS 系统向客户推荐主要的产品用例以及与这些用例最相关的产品。不同产品类别和市场(MP)的用例及其定义各不相同。这就使得通过收集大量训练模型所需的训练数据来训练数千种电子商务类别和多个市场平台的监督模型变得不可行。在本讲座中,我们将介绍通过指导调整 LLM 来扩展 UBS 模型的工作。
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引用次数: 0
Integrity 2024: Integrity in Social Networks and Media 正直 2024:社交网络和媒体中的正直行为
Lluís Garcia-Pueyo, Symeon Papadopoulos, Prathyusha Senthil Kumar, A. Gionis, Panayiotis Tsaparas, Vasilis Verroios, Giuseppe Manco, Anton Andryeyev, Stefano Cresci, T. Sellis, Anthony McCosker
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引用次数: 0
C²DR: Robust Cross-Domain Recommendation based on Causal Disentanglement C²DR:基于因果关系分解的稳健跨域推荐
Menglin Kong, Jia Wang, Yushan Pan, Haiyang Zhang, Muzhou Hou
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引用次数: 0
Psychology-informed Information Access Systems Workshop 心理学信息获取系统研讨会
Markus Schedl, Marta Moscati, Bruno Sguerra, Romain Hennequin, Elisabeth Lex
{"title":"Psychology-informed Information Access Systems Workshop","authors":"Markus Schedl, Marta Moscati, Bruno Sguerra, Romain Hennequin, Elisabeth Lex","doi":"10.1145/3616855.3635722","DOIUrl":"https://doi.org/10.1145/3616855.3635722","url":null,"abstract":"","PeriodicalId":517585,"journal":{"name":"Proceedings of the 17th ACM International Conference on Web Search and Data Mining","volume":"20 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140285658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
NeuralReconciler for Hierarchical Time Series Forecasting 用于分层时间序列预测的神经重组器
Shiyu Wang
{"title":"NeuralReconciler for Hierarchical Time Series Forecasting","authors":"Shiyu Wang","doi":"10.1145/3616855.3635806","DOIUrl":"https://doi.org/10.1145/3616855.3635806","url":null,"abstract":"","PeriodicalId":517585,"journal":{"name":"Proceedings of the 17th ACM International Conference on Web Search and Data Mining","volume":"68 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140286100","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Using Causal Inference to Solve Uncertainty Issues in Dataset Shift 利用因果推理解决数据集转移中的不确定性问题
Shuang Song, Muhammad Syafiq Bin Mohd Pozi
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引用次数: 0
Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation Diff-MSR:用于冷启动多场景推荐的扩散模型增强范式
Yuhao Wang, Ziru Liu, Yichao Wang, Xiangyu Zhao, Bo Chen, Huifeng Guo, Ruiming Tang
{"title":"Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation","authors":"Yuhao Wang, Ziru Liu, Yichao Wang, Xiangyu Zhao, Bo Chen, Huifeng Guo, Ruiming Tang","doi":"10.1145/3616855.3635807","DOIUrl":"https://doi.org/10.1145/3616855.3635807","url":null,"abstract":"","PeriodicalId":517585,"journal":{"name":"Proceedings of the 17th ACM International Conference on Web Search and Data Mining","volume":"106 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140286058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
期刊
Proceedings of the 17th ACM International Conference on Web Search and Data Mining
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