526互联

recommendations distributions lightweight confidence

Redfish是一种现代、开放且标准化的远程管理和监控接口，由DMTF（Distributed Management Task Force）开发和维护。它基于RESTful API设计，使用JSON或OData格式进行数据交换。Redfish旨在提供简化、灵活和可互操作的远程管理解决方案，取代或与传统的远程管理技术（如IPMI）配合使用。

Redfish是一种现代、开放且标准化的远程管理和监控接口，由DMTF（Distributed Management Task Force）开发和维护。它基于RESTful API设计，使用JSON或OData格式进行数据交换。Redfish旨在提供简化、灵活和可互操作的远程管理解决方案，取代或与传 ......
远程管理 Redfish Distributed Management 接口

MSDTC（Microsoft Distributed Transaction Coordinator）是微软的分布式事务协调器，它是Windows操作系统中的一个组件。MSDTC 提供了跨多个资源管理器（如数据库、消息队列等）执行事务的能力，确保事务的原子性、一致性、隔离性和持久性。

MSDTC（Microsoft Distributed Transaction Coordinator）是微软的分布式事务协调器，它是Windows操作系统中的一个组件。MSDTC 提供了跨多个资源管理器（如数据库、消息队列等）执行事务的能力，确保事务的原子性、一致性、隔离性和持久性。 MSDTC ......
事务 持久性 MSDTC 队列 一致性

Graph Masked Autoencoder for Sequential Recommendation

[TOC] > [Ye Y., Xia L. and Huang C. Graph masked autoencoder for sequential recommendation. SIGIR, 2023.](http://arxiv.org/abs/2305.04619) ## 概 图 + MA ......
Recommendation Autoencoder Sequential Masked Graph

混合性对话：Towards Conversational Recommendation over Multi-Type Dialogs

## 混合型对话 传统的人机对话研究专注于单一类型的对话，并且往往预设用户一开始就清楚对话目标。但实际应用中，人机对话常常混合了多种类型，例如闲聊、任务导向对话、推荐对话、问答等，并且用户目标是未知的。在这样的混合型对话中，机器人需要主动自然地进行对话推荐。 “混合型对话”这个新颖的任务于2020年 ......
混合性 Conversational Recommendation Multi-Type Towards

Proj. CAR Paper Reading: C3PO: A Lightweight Copying Mechanism for Translating Pseudocode to Code

## Abstract 本文： 方法：直接从伪代码中利用多数tokens，以此节约计算代价 步骤： 1. Copy: 使用二分类来决定哪些pseudocode tokens to be masked，以便直接使用 2. Generate: 使用Seq2Seq来生成masked PL code 3. ......
Lightweight Translating Pseudocode Mechanism Copying

Time Interval Aware Self-Attention for Sequential Recommendation

[TOC] > [Li J., Wang Y., McAuley J. Time interval aware self-attention for sequential recommendation. WSDM, 2020.](https://dl.acm.org/doi/10.1145/3336 ......
Self-Attention Recommendation Sequential Attention Interval

2023-06-19 uniapp云打包报错：app-plus.distribute.icons.android.hdpi 文件不存在

详细报错： [HBuilder] 11:02:51.408 Manifest.json文件以下节点配置错误，请检查修复[HBuilder] 11:02:51.408 app-plus.distribute.icons.android.hdpi 文件不存在[HBuilder] 11:02:51.408 ......
distribute app-plus android 文件 uniapp

解决MAC笔记本Stable Diffusion安装时报No matching distribution found for tb-nightly的问题

安装时报如下错误： stderr: ERROR: Ignored the following versions that require a different python version: 1.6.2 Requires-Python >=3.7,<3.10; 1.6.3 Requires-Pyt ......
distribution tb-nightly Diffusion matching 时报

指数分布和泊松过程(Exponential Distribution and Poisson Process)--3

## 指数分布和泊松过程(Exponential Distribution and Poisson Process)--3 ![](https://img2023.cnblogs.com/blog/2968162/202306/2968162-20230609160253459-973115693. ......
Distribution Exponential 指数 过程 Poisson

关于CloudFront-Distribution-SSL-证书过期的更新替换操作记录

提前说明：载止今天, AWS CloudFront 还是只支持IAM类型的证书 今天笔者主要讲述当AWS CloudFront Distribution 的SSL证书过期后，如何进行更新 1、假定已经知道某个CloudFront Distribution使用的SSL证书将要过期 2、进入CloudF ......
CloudFront-Distribution-SSL Distribution CloudFront 证书 SSL

Exploiting Positional Information for Session-based Recommendation

[TOC] > [Qiu R., Huang Z., Chen T. and Yin H. Exploiting positional information for session-based recommendation. ACM Transactions on Information Syst ......
Recommendation Session-based Information Exploiting Positional

Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation

[TOC] > [Qiu R., Huang Z., Ying H. and Wang Z. Contrastive learning for representation degeneration problem in sequential recommendation. WSDM, 2022.] ......
Representation Recommendation Degeneration Contrastive Sequential

Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation

[TOC] > [Xia X., Yin H., Yu J., Wang Q., Cui L and Zhang X. Self-supervised hypergraph convolutional networks for session-based recommendation. AAAI, ......
Self-Supervised Recommendation Convolutional Session-based Hypergraph

Self-Supervised Graph Co-Training for Session-based Recommendation

[TOC] > [Xia X., Yin H., Yu J., Shao Y. and Cui L. Self-supervised graph co-training for session-based recommendation. CIKM, 2021.](http://arxiv.org/a ......
Self-Supervised Recommendation Session-based Co-Training Supervised

Global Context Enhanced Graph Neural Networks for Session-based Recommendation

[TOC] > [Wang Z., Wei W., Cong G., Li X., Mao X. and Qiu M. Global context enhanced graph neural networks for session-based recommendation. SIGIR, 202 ......
Recommendation Session-based Enhanced Networks Context

How to use the shell command to get the version of Linux Distributions All In One

How to use the shell command to get the version of Linux Distributions All In One 如何使用 shell 命令获取 Linux 发行版的版本 hostnamectl cat /etc/os-release lsb_rel... ......
Distributions the command version shell

Neural Attentive Session-based Recommendation

[TOC] >[ Li J., Ren P., Chen Z., Ren Z., Lian T. and Ma J. Neural attentive session-based recommendation. CIKM, 2017.](http://arxiv.org/abs/1711.04725 ......
Recommendation Session-based Attentive Session Neural

Memory Priority Model for Session-based Recommendation

[TOC] > [Liu Q., Zeng Y., Mokhosi R. and Zhang H. STAMP: Short-term attention/memory priority model for session-based recommendation. KDD, 2018.](http ......
Recommendation Session-based Priority Session Memory

Distributed System and Application

Assignment 2:Distributed System and ApplicationCloud Computing and Distributed Systems (CLOUDS) LaboratorySchool of Computing and Information SystemsT ......
Distributed Application System and

Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding

Tang J. and Wang K. Personalized top-n sequential recommendation via convolutional sequence embedding. WSDM, 2018. 概 序列推荐的经典之作, 将卷积用在序列推荐之上. 符号说明 $\ma ......
Recommendation Convolutional Personalized Sequential Embedding

指数分布和泊松过程(Exponential Distribution and Poisson Process)--2(指数分布的例题)

例 1 Suppose that customers are in line to receive service that is provided sequentially by a server; whenever a service is completed, the next person ......
指数 例题 Distribution Exponential 过程

指数分布和泊松过程(Exponential Distribution and Poisson Process)--1

Exponential Distribution 随机变量$X$服从指数分布的参数为$\lambda$的密度函数是：$f(x) = \left{\begin{align*} &\lambda e^{-\lambda x},\quad x\geq 0\ &0,\quad else \end{align ......
Distribution Exponential 指数 过程 Poisson

The plugin distribution bundles IDE packages 'com.intellij.uiDesigner.core',

错误描述： The plugin distribution bundles IDE packages 'com.intellij.uiDesigner.core', 'com.intellij.uiDesigner'. Bundling IDE packages is considered bad ......
distribution uiDesigner packages intellij bundles

DB - HDFS (Hadoop Distributed File System)

Hadoop Distributed File System，简称 HDFS，是一个分布式文件系统。 HDFS 有着高容错性（fault-tolerent）的特点，并且设计用来部署在低廉的（low-cost）硬件上。而且它提供高吞吐量（high throughput）来访问应用程序的数据，适合那些有 ......
Distributed Hadoop System HDFS File

Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple ERROR: Could not find a version that satisfies the requirement mediapipe (from versions: none) ERROR: No matching distribution found f

命令行输入： pip install mediapipe 报错： Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple ERROR: Could not find a version that satisfies the requi ......
ERROR distribution requirement mediapipe satisfies

Handling Information Loss of Graph Neural Networks for Session-based Recommendation

Chen T. and Wong R. C. Handling information loss of graph neural networks for session-based recommendation. KDD, 2020. 概 作者发现图用在 Session 推荐中存在: lossy ......
Recommendation Session-based Information Handling Networks

lightweight openpose

它的跟踪技术 首先在当前帧选一个人体，跟前一帧所有人比较，如果相似度大于阈值，则把前一帧相似度最大人的序号赋予当前帧，且之后当前帧其他人不与其进行相似度估计。 current_poses = sorted(current_poses, key=lambda pose: pose.confidence ......
lightweight openpose

解决 c3p0报错 Establishing SSL connection without server's identity verification is not recommended

解决 c3p0报错 Establishing SSL connection without server's identity verification is not recommended ?useSSL=false <c3p0-config> <default-config> <property ......
Establishing verification recommended connection identity

[CMU 15-418] (Lecture5) perf1_ Work Distribution and Scheduling

本系列文章为 CMU 15-418/15-618: Parallel Computer Architecture and Programming, Fall 2018 课程学习笔记 课程官网：CMU 15-418/15-618: Parallel Computer Architecture and ......
Distribution Scheduling Lecture5 Lecture perf1

DDP运行报错（单卡无错）：ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: 1)

使用DDP时出现错误，但是单卡跑无错误。 错误记录如下： RuntimeError: Expected to have finished reduction in the prior iteration before starting a new one. This error indicates ......
multiprocessing distributed exitcode elastic failed
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