recommendation session-based enhanced networks
Cannot initiate the connection to cn.archive.ubuntu.com:80 (2403:2c80:5::6). - connect (101: Network is unreachable)
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Collaborative Distillation for Top-N Recommendation
目录概符号说明Collaborative distillation (CD) Lee J., Choi M., Lee J. and Shim H. Collaborative distillation for top-N recommendation. ICDM, 2019. 概 Ranking- ......
Linux namespace之：network namespace
Linux namespace系列文章 理解network namespace network namespace用来隔离网络环境，在network namespace中，网络设备、端口、套接字、网络协议栈、路由表、防火墙规则等都是独立的。 因network namespace中具有独立的网络协议栈 ......
Ranking Distillation: Learning Compact Ranking Models With High Performance for Recommender System
目录概符号说明Ranking Distillation代码 Tang J. and Wang K. Ranking Distillation: Learning compact ranking models with high performance for recommender system. ......
[IJCAI 2023]Fighting against Organized Fraudsters Using Risk Diffusion-based Parallel Graph Neural Network
[IJCAI 2023]Fighting against Organized Fraudsters Using Risk Diffusion-based Parallel Graph Neural Network 文章设计了一种基于社区的医疗保险欺诈行为检测。 模型 为了提高精度，模型设计了一组异构 ......
yarn 出现 【 info There appears to be trouble with your network connection. Retrying... 】超时问题解决
第一种解决方案 # 调整为taobao镜像源 yarn config set registry https://registry.npm.taobao.org 我用了没用，可以试试 第二种解决方案 要在项目根目录下创建后缀名为 .yarnrc 的文件，并设置 network-timeout 的值为 ......
Sensor Network
题目描述 A wireless sensor network consists of autonomous sensors scattered in an environment where they monitor conditions such as temperature, sound, an ......
Learning Heterogeneous Temporal Patterns of User Preference for Timely Recommendation
目录概符号说明TimelyRecMulti-aspect Time Encoder (MATE)Time-aware History Encoder (TAHE)Prediction代码 Cho J., Hyun D., Kang S. and Yu H. Learning heterogeneou ......
Attention Mixtures for Time-Aware Sequential Recommendation
目录概符号说明MOJITO代码 Tran V., Salha-Galvan G., Sguerra B. and Hennequin R. Attention mixtures for time-aware sequential recommendation. SIGIR, 2023. 概 本文希望 ......
docker network
docker network 常用命令 docker network ls 查看所有的网络模式 docker network create 创建网络模式 docker network rm 删除网络模式 docker network inspect xxx 查看网络模式的信息 网络模式 bridge ......
VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE
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VDSR-Accurate Image Super-Resolution Using Very Deep Convolutional Networks阅读笔记
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web DevOps / qemu / kvm nat / kvm network / danei network
s [root@euler share]# rpm -qa | grep openssh # 查看ssh openssh-8.8p1-21.oe2203sp2.x86_64 openssh-server-8.8p1-21.oe2203sp2.x86_64 openssh-clients-8.8p1- ......
hugepages_settings.sh-Shell Script to Calculate Values Recommended Linux HugePages-HugeTLB Configuration_DocID401749.1
Oracle Linux-Shell Script to Calculate Values Recommended Linux HugePages-HugeTLB Configuration_DocID401749.1 ######################################## ......
linux报错“Failed to start LSB: Bring up/down networking.”
1 简介 虚拟机安装CentOs7完成后，配置静态网络，重启网络失败 执行ststemctl status network.service 发现报错：Failed to start LSB: Bring up/down networking 2 原因 由于centos7中没有70-persisten ......
PSR是什么？PHP Standards Recommendations
PHP Standards Recommendations 官网：https://www.php-fig.org/psr/ PSR 是 PHP Standard Recommendations 的简写，由 PHP FIG 组织制定的 PHP 规范，是 PHP 开发的实践标准。 PHP FIG,FIG ......
Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach
原文地址：https://arxiv.org/abs/2305.07001 本文作者将用户偏好、意图等构建为指令，并用这些指令调优一个LLM（3B Flan-T5-XL），该方法对用户友好，用户可以与系统交流获取更准确的推荐。 ## INTRODUCTION LLM是建立在自然语言文本上的，它不能直 ......
How Expressive are Graph Neural Networks in Recommendation
[TOC] > [Cai X., Xia L., Ren X. and Huang C. How expressive are graph neural networks in recommendation? CIKM, 2023.](http://arxiv.org/abs/2308.11127) ......
Proj CDeepFuzz Paper Reading: Testing Deep Neural Networks
## Abstract 本文:DeepCover Github: https://github.com/TrustAI/DeepCover Task: propose 4 novel test criteria to test DNNs Method: inspired by MC/DC cover ......
[network] netcat install in windows os
# Netcat Install in Windows OS + Netcat is a simple `Unix` tool. it uses `UDP` , `TCP` Protocol. > Netcat 是一个可靠的容易被其他程序所启用的后台操作工具，同时它也被用作**网络的测试工具**或* ......
Proj CDeepFuzz Paper Reading: SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks
## Abstract 本文：SparseProp Github: https://github.com/IST-DASLab/sparseprop Task: a back-propagation algo for sparse training data, a fast vectorized i ......
Spikformer: When Spiking Neural Network Meets Transformer
郑重声明：原文参见标题，如有侵权，请联系作者，将会撤销发布！ Published as a conference paper at ICLR 2023（同大组工作） ABSTRACT 我们考虑了两种生物学合理的结构，脉冲神经网络（SNN）和自注意机制。前者为深度学习提供了一种节能且事件驱动的范式，而 ......
Proj CDeepFuzz Paper Reading: Decompiling x86 Deep Neural Network Executables
## Abstract 本文: BTD github: https://github.com/monkbai/DNN-decompiler/ Task: a decompiler for DNN models to output DNN specifications including: opera ......
Time Matters Sequential Recommendation with Complex Temporal Information
[TOC] > [Ye W., Wang S., Chen X., Wang X., Qin Z. and Yin D. Time Matters: Sequential recommendation with complex temporal information. SIGIR, 2020.]( ......
通过提示大语言模型进行个性化推荐LLM-Rec: Personalized Recommendation via Prompting Large Language Models
论文原文地址：https://arxiv.org/abs/2307.15780 本文提出了一种提示LLM并使用其生成的内容增强推荐系统的输入的方法，提高了个性化推荐的效果。 ## LLM-Rec Prompting  题目大意： 给定一个图，每次询问两个点 $u$ 和 $v$，在 $u$ 到 $v$ 的所有路径中找一条路径，且这条路径上的所有边的边权最大值最小。 解题思路： ......
A Contextualized Temporal Attention Mechanism for Sequential Recommendation
[TOC] > [Wu J., Cai R. and Wang H. D\'ej\`a vu: A contextualized temporal attention mechanism for sequential recommendation. WWW, 2020.](http://arxiv. ......
Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer
[TOC] > [Fan Z., Liu Z., Zhang J., Xiong Y., Zheng L. and Yu P. S. Continuous-time sequential recommendation with temporal graph collaborative transfo ......
大模型时代的推荐系统Recommender Systems in the Era of Large Language Models (LLMs)
文章地址：https://arxiv.org/abs/2307.02046 笔记中的一些小实验中的模型都是基于GPT-3.5架构的ChatGPT模型。 本文主要讲述了比较具有代表性的方法利用LLM去学习user和item的表示，从预训练、微调和提示三个范式回顾了近期用于增强推荐系统的LLM先进技术， ......
Proj CDeepFuzz Paper Reading: DeepTest: automated testing of deep-neural-network-driven autonomous cars
## Abstract 本文: DeepTest Task: a systematic testing tool for DNN-driven vehicles Method: 1. generated test cases with real-world changes like rain, fo ......