| 中文标题 | 作者 | 论文ID | 分类简称 | 发布时间 |
|---|---|---|---|---|
| 基于混合阈值的表示稀疏化，用于快速基于SPLADE的文档检索 | Yifan Qiao, Yingrui Yang, Shanxiu He, Tao Yang | 2306.11293 | cs.IR | 2023-06-21 |
| CAPRI：上下文感知可解释的兴趣点推荐框架 | Ali Tourani, Hossein A. Rahmani, Mohammadmehdi Naghiaei, Yashar Deldjoo | 2306.11395 | cs.IR | 2023-06-21 |
| 生成式检索作为稠密检索 | Thong Nguyen, Andrew Yates | 2306.11397 | cs.IR | 2023-06-21 |
| 挖掘兴趣趋势并自适应分配样本权重用于基于会话的推荐 | Kai Ouyang, Xianghong Xu, Miaoxin Chen, Zuotong Xie, Hai-Tao Zheng, Shuangyong Song, Yu Zhao | 2306.11610 | cs.IR | 2023-06-21 |
| 用心理测量和众包评估搜索可解释性 | Catherine Chen and Carsten Eickhoff | 2210.09430 | cs.IR | 2023-06-19 |
| 建模外卖推荐中的双重时段变化偏好 | Yuting Zhang, Yiqing Wu, Ran Le, Yongchun Zhu, Fuzhen Zhuang, Ruidong Han, Xiang Li, Wei Lin, Zhulin An, Yongjun Xu | 2306.04370 | cs.IR | 2023-06-19 |
| 个性化总结科学学术文本：我要这个，而不是那个 | Vasudha Bhatnagar, Alka Khurana, Vikas Kumar | 2306.09604 | cs.IR | 2023-06-19 |
| 基于智能情感分析的搜索引擎分类智能化 | Mike Nkongolo | 2306.09777 | cs.IR | 2023-06-19 |
| GRM：利用关联感知样本估计进行生成式相关模型的文档检索 | Iain Mackie, Ivan Sekulic, Shubham Chatterjee, Jeffrey Dalton, Fabio Crestani | 2306.09938 | cs.IR | 2023-06-19 |
| RLTP：预加载广告中延迟印象建模的强化学习 | Penghui Wei, Yongqiang Chen, Shaoguo Liu, Liang Wang, Bo Zheng | 2302.02592 | cs.IR | 2023-06-16 |
| 从Twitter截图中提取信息 | Tarannum Zaki, Michael L. Nelson, Michele C. Weigle | 2306.08236 | cs.IR | 2023-06-16 |
| 生成式信息检索的快速性能预测 | Nicolas Bizzozzero, Ihab Bendidi, Olivier Risser-Maroix | 2306.08915 | cs.IR | 2023-06-16 |
| TEIMMA：首个文本、图像和数学内容重用注释器 | Ankit Satpute and Andr''e Greiner-Petter and Moritz Schubotz and Norman Meuschke and Akiko Aizawa and Olaf Teschke and Bela Gipp | 2305.13193 | cs.IR | 2023-06-14 |
| RD-Suite: 一个用于排名蒸馏的基准 | Zhen Qin, Rolf Jagerman, Rama Pasumarthi, Honglei Zhuang, He Zhang, Aijun Bai, Kai Hui, Le Yan, Xuanhui Wang | 2306.04455 | cs.IR | 2023-06-14 |
| 新闻推荐的主题中心解释 | Dairui Liu, Derek Greene, Irene Li, and Ruihai Dong | 2306.07506 | cs.IR | 2023-06-14 |
| 基于最佳情况检索评估：通过词典精确度提高互倒排序的灵敏度 | Fernando Diaz | 2306.07908 | cs.IR | 2023-06-14 |
| 强化学习在推荐系统中的调查 | Yuanguo Lin, Yong Liu, Fan Lin, Lixin Zou, Pengcheng Wu, Wenhua Zeng, Huanhuan Chen, Chunyan Miao | 2109.10665 | cs.IR | 2023-06-13 |
| Skellam Rank：基于泊松过程和Skellam分布的公平学习排序算法，用于推荐系统。 | Hao Wang | 2306.06607 | cs.IR | 2023-06-13 |
| 二维网格推荐面板的增强再排序 | Sirui Chen, Xiao Zhang, Xu Chen, Zhiyu Li, Yuan Wang, Quan Lin and Jun Xu | 2204.04954 | cs.IR | 2023-06-12 |
| 生成式流网络用于列表推荐 | Shuchang Liu, Qingpeng Cai, Zhankui He, Bowen Sun, Julian McAuley, Dong Zheng, Peng Jiang, and Kun Gai | 2306.02239 | cs.IR | 2023-06-12 |
| 减轻基于提示调优的事实知识抽取中的对象偏见 | Yuhang Wang, Dongyuan Lu, Chao Kong and Jitao Sang | 2306.03378 | cs.IR | 2023-06-12 |
| 贝叶斯知识驱动的间接证据批判 | Armin Toroghi, Griffin Floto, Zhenwei Tang, Scott Sanner | 2306.05636 | cs.IR | 2023-06-12 |
| UA-FedRec：联邦新闻推荐的非定向攻击 | Jingwei Yi, Fangzhao Wu, Bin Zhu, Jing Yao, Zhulin Tao, Guangzhong Sun, Xing Xie | 2202.06701 | cs.IR | 2023-06-09 |
| CoMeta: 在推荐的冷启动问题中利用协同信息增强元嵌入 | Haonan Hu, Dazhong Rong, Jianhai Chen, Qinming He and Zhenguang Liu | 2303.07607 | cs.IR | 2023-06-09 |
| 跨领域推荐的三元序列学习 | Haokai Ma, Ruobing Xie, Lei Meng, Xin Chen, Xu Zhang, Leyu Lin and Jie Zhou | 2304.05027 | cs.IR | 2023-06-09 |