| 中文标题 | 作者 | 论文ID | 分类简称 | 发布时间 |
|---|---|---|---|---|
| 高效FedRec：用于隐私保护新闻推荐的高效联邦学习框架 | Jingwei Yi, Fangzhao Wu, Chuhan Wu, Ruixuan Liu, Guangzhong Sun and Xing Xie | 2109.05446 | cs.IR | 2023-05-31 |
| FinalMLP：一种增强的用于CTR预测的双流MLP模型 | Kelong Mao, Jieming Zhu, Liangcai Su, Guohao Cai, Yuru Li, Zhenhua Dong | 2304.00902 | cs.IR | 2023-05-31 |
| 选择性查询处理：一种对系统配置的风险敏感选择 | Josiane Mothe and Md Zia Ullah | 2305.18311 | cs.IR | 2023-05-31 |
| 信息检索实验平台 | Maik Fr"obe and Jan Heinrich Reimer and Sean MacAvaney and Niklas Deckers and Simon Reich and Janek Bevendorff and Benno Stein and Matthias Hagen and Martin Potthast | 2305.18932 | cs.IR | 2023-05-31 |
| 基于深度学习方法的知识驱动材料的材料命名实体识别(MNER) | M. Saef Ullah Miah and Junaida Sulaiman | 2211.02585 | cs.IR | 2023-05-30 |
| 文本就是你所需要的：为序列推荐学习语言表示 | Jiacheng Li, Ming Wang, Jin Li, Jinmiao Fu, Xin Shen, Jingbo Shang, Julian McAuley | 2305.13731 | cs.IR | 2023-05-30 |
| 自动数据去噪用于推荐 | Yingqiang Ge, Mostafa Rahmani, Athirai Irissappane, Jose Sepulveda, James Caverlee, Fei Wang | 2305.07070 | cs.IR | 2023-05-29 |
| 用一种考虑不确定性的经验贝叶斯方法减少在学习排序中的利用偏差 | Tao Yang, Cuize Han, Chen Luo, Parth Gupta, Jeff M. Phillips, Qingyao Ai | 2305.16606 | cs.IR | 2023-05-29 |
| 谷歌搜索是否存在风险？关于风险感知和在网络搜索中遭遇不良后果的研究 | Helena H"au{ss}ler, Sebastian Schulthei{ss}, Dirk Lewandowski | 2305.16990 | cs.IR | 2023-05-29 |
| 聚合取回：用于强大稠密段落检索的简单方法 | Sheng-Chieh Lin, Minghan Li, and Jimmy Lin | 2208.00511 | cs.IR | 2023-05-26 |
| 混合检索中融合函数的分析 | Sebastian Bruch and Siyu Gai and Amir Ingber | 2210.11934 | cs.IR | 2023-05-26 |
| 通过互逆最近邻方法增强密集检索方法的排名背景。 | George Zerveas, Navid Rekabsaz, Carsten Eickhoff | 2305.15720 | cs.IR | 2023-05-26 |
| 对话系统中关于提问澄清问题数据集的调查 | Hossein A. Rahmani, Xi Wang, Yue Feng, Qiang Zhang, Emine Yilmaz, Aldo Lipani | 2305.15933 | cs.IR | 2023-05-26 |
| 术语集可成为自回归搜索引擎的强文档标识 | Peitian Zhang, Zheng Liu, Yujia Zhou, Zhicheng Dou, Zhao Cao | 2305.13859 | cs.IR | 2023-05-25 |
| 从网络中提取与购物兴趣相关的产品类型 | Yinghao Li, Colin Lockard, Prashant Shiralkar, Chao Zhang | 2305.14549 | cs.IR | 2023-05-25 |
| 融合T5模型：统一文档排名信号以改进信息检索 | Shi Yu (1), Chenghao Fan (2), Chenyan Xiong (3), David Jin (4), Zhiyuan Liu (1), Zhenghao Liu (5) ((1) Tsinghua University, (2) Huazhong University of Science and Technology, (3) Microsoft Research, (4) Massachusetts Institute of Technology, (5) Northeastern University) | 2305.14685 | cs.IR | 2023-05-25 |
| JDsearch：包含真实查询和完整交互的个性化产品搜索数据集 | Jiongnan Liu, Zhicheng Dou, Guoyu Tang, Sulong Xu | 2305.14810 | cs.IR | 2023-05-25 |
| 图卷积如何放大推荐中的流行度偏差？ | Jiajia Chen, Jiancan Wu, Jiawei Chen, Xin Xin, Yong Li, Xiangnan He | 2305.14886 | cs.IR | 2023-05-25 |
| 探索基于适配器的迁移学习在推荐系统中的应用：经验研究与实践洞见 | Junchen Fu, Fajie Yuan, Yu Song, Zheng Yuan, Mingyue Cheng, Shenghui Cheng, Jiaqi Zhang, Jie Wang, Yunzhu Pan | 2305.15036 | cs.IR | 2023-05-25 |
| 受学习策略启发的语义增强可微分搜索索引 | Yubao Tang, Ruqing Zhang, Jiafeng Guo, Jiangui Chen, Zuowei Zhu, Shuaiqiang Wang, Dawei Yin, Xueqi Cheng | 2305.15115 | cs.IR | 2023-05-25 |
| 基于多模态多视角注意力网络的协同推荐模型：电影与文学案例 | Zheng Hu, Shi-Min Cai, Jun Wang, Tao Zhou | 2305.15159 | cs.IR | 2023-05-25 |
| 理解文本检索的差异化搜索索引 | Xiaoyang Chen, Yanjiang Liu, Ben He, Le Sun, Yingfei Sun | 2305.02073 | cs.IR | 2023-05-24 |
| 推荐系统中的“低”维度诅咒 | Naoto Ohsaka, Riku Togashi | 2305.13597 | cs.IR | 2023-05-24 |
| 大规模电子商务搜索系统中预排序角色的重新思考 | Zhixuan Zhang, Yuheng Huang, Dan Ou, Sen Li, Longbin Li, Qingwen Liu, Xiaoyi Zeng | 2305.13647 | cs.IR | 2023-05-24 |
| 对列表内距离和离散度的重要重新审视 | Naoto Ohsaka, Riku Togashi | 2305.13801 | cs.IR | 2023-05-24 |