阿里巴巴召回框架 JTM 论文+定理证明+源码实现

上传者: xpy870663266 | 上传时间: 2021-06-09 14:07:33 | 文件大小: 512KB | 文件类型: ZIP
阿里巴巴NIPS 2019论文 Joint Optimization of Tree-based Index and Deep Model for Recommender Systems 的supplementary file以及论文中算法的实现

文件下载

资源详情

[{"title":"( 22 个子文件 512KB ) 阿里巴巴召回框架 JTM 论文+定理证明+源码实现","children":[{"title":"JTM","children":[{"title":"Joint Optimization of Tree-based Index and Deep Model for Recommender Systems.pdf <span style='color:#111;'> 269.81KB </span>","children":null,"spread":false},{"title":"JTM","children":[{"title":"data_and_tree_initialize.py <span style='color:#111;'> 3.39KB </span>","children":null,"spread":false},{"title":"tree","children":[{"title":"store_kv.proto <span style='color:#111;'> 107B </span>","children":null,"spread":false},{"title":"tree_pb2.py <span style='color:#111;'> 8.08KB </span>","children":null,"spread":false},{"title":"generator.py <span style='color:#111;'> 16.21KB </span>","children":null,"spread":false},{"title":"tree_learner.py <span style='color:#111;'> 6.12KB </span>","children":null,"spread":false},{"title":"tree.proto <span style='color:#111;'> 489B </span>","children":null,"spread":false},{"title":"tree_builder.py <span style='color:#111;'> 5.62KB </span>","children":null,"spread":false},{"title":"store_kv_pb2.py <span style='color:#111;'> 2.13KB </span>","children":null,"spread":false}],"spread":true},{"title":".idea","children":[{"title":"misc.xml <span style='color:#111;'> 294B </span>","children":null,"spread":false},{"title":"workspace.xml <span style='color:#111;'> 3.56KB </span>","children":null,"spread":false},{"title":"inspectionProfiles","children":[{"title":"profiles_settings.xml <span style='color:#111;'> 174B </span>","children":null,"spread":false}],"spread":true},{"title":"deployment.xml <span style='color:#111;'> 739B </span>","children":null,"spread":false},{"title":"modules.xml <span style='color:#111;'> 265B </span>","children":null,"spread":false},{"title":"JTM.iml <span style='color:#111;'> 464B </span>","children":null,"spread":false}],"spread":true},{"title":"data_cutter.py <span style='color:#111;'> 2.30KB </span>","children":null,"spread":false},{"title":"config","children":[{"title":"jtm.json <span style='color:#111;'> 1.41KB </span>","children":null,"spread":false}],"spread":true},{"title":"tools","children":[{"title":"layer_master.py <span style='color:#111;'> 2.44KB </span>","children":null,"spread":false}],"spread":true},{"title":"user_preference_prediction_model.py <span style='color:#111;'> 2.26KB </span>","children":null,"spread":false},{"title":"tree_learning.py <span style='color:#111;'> 6.14KB </span>","children":null,"spread":false},{"title":"tmp.py <span style='color:#111;'> 100B </span>","children":null,"spread":false}],"spread":true},{"title":"Joint Optimization of Tree-based Index and Deep Model for Recommender Systems-supplementary.pdf <span style='color:#111;'> 323.80KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}]

评论信息

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明