recommendation instruction following empowered

ST12 Trace – Step by step instruction on how to use it for analysis

ST12介绍 ST12性能分析工具的使用分如下三个步骤: 设置跟踪参数 开始跟踪收集跟踪数据 分析跟踪数据 跟踪参数分类: 跟踪对象(Trace For) 跟踪类型(Type of Trace) 跟踪对象 ST12可以捕获4种类型的数据 “User/Tasks”, “Work Process”, “ ......
instruction analysis Trace Step step

A Lightweight Method for Modeling Confidence in Recommendations with Learned Beta Distributions论文阅读笔记

A Lightweight Method for Modeling Confidence in Recommendations with Learned Beta Distributions论文阅读笔记 摘要 ​ 大多数推荐系统并不提供对其决策信心的指示。因此,他们不区分确定的建议和不确定的建议。现 ......

Listener refused the connection with the following error: ORA-12514

1.问题 在使用Oracle SQL Developer时,遇到以下问题: 状态: 失败 -测试失败: Listener refused the connection with the following error: ORA-12514, TNS:listener does not current ......
connection following the Listener refused

Personalized Transformer for Explainable Recommendation论文阅读笔记

Personalized Transformer for Explainable Recommendation论文阅读笔记 摘要 ​ 自然语言生成的个性化在大量任务中都起着至关重要的作用。比如可解释的推荐,评审总结和对话系统等。在这些任务中,用户和项目ID是个性化的重要标识符。虽然Transfome ......

QT编程解决Error: no such instruction: `swpb %cl,%dl,[%edi]'

原文:https://blog.csdn.net/memory_exception/article/details/50886337 可能是arm 交叉环境有问题,如果配置好了一般reconfigure下就ok. 如果总是有问题,可以修改qatomic_arm.h,将汇编用c code写可以避过这个 ......
instruction Error such swpb edi

Unbiased Knowledge Distillation for Recommendation

目录概UnKD代码 Chen G., Chen J., Feng F., Zhou S. and He X. Unbiased knowledge distillation for recommendation. WSDM, 2023. 概 考虑流行度偏差的知识蒸馏, 应用于推荐系统. UnKD M ......

git pull代码时提示:Your local changes to the following files would be overwritten by merge

内容来自对 chatgpt 的咨询 这个错误提示意味着你在执行git pull命令时,Git发现你当前工作目录中的一些文件与远程仓库的变更产生了冲突。这可能是因为你在本地修改了一些文件,而远程仓库也有更新。Git不允许在有未提交的本地修改时直接执行git pull,以防止可能的冲突。 要解决这个问题 ......
overwritten following changes 代码 files

DE-RRD: A Knowledge Distillation Framework for Recommender System

目录概DE-RRDDistillation Experts (DE)Relaxed Ranking Distillation (RRD)代码 Kang S., Hwang J., Kweon W. and Yu H. DE-RRD: A knowledge distillation framewor ......

Topology Distillation for Recommender System

目录概Topology DistillationFull Topology Distillation (FTD)Hierarchical Topology Distillation (HTD)代码 Kang S., Hwang J., Kweon W. and Yu H. Topology dist ......
Distillation Recommender Topology System for

currently, chromedriver 114.0.5735.90 is recommended for chrome 114.*, so it is advised to delete the driver in PATH and retry

报错原因是驱动和浏览器不匹配 解决办法 1.下载低版本的谷歌浏览器 本次使用的是114 下载地址: https://downzen.com/en/windows/google-chrome/download/11405735199/ 2.下载谷歌浏览器的插件 https://registry.npm ......

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- ......

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. ......

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 ......

Training language models to follow instructions with human feedback

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! NeurIPS 2022 ......

PentestGPT:A GPT-empowered penetration testing tool

一、What is PentestGPT? PentestGPT是一种由大型语言模型(LLMs)赋能的渗透测试工具。它旨在自动化渗透测试过程。它基于ChatGPT构建,并以交互模式运行,以指导渗透测试人员在整体进展和具体操作上。 General Design PentestGPT提供了一个统一的终端 ......

Transformer-empowered Multi-scale Contextual Matching and Aggregation for

Transformer-empowered Multi-scale Contextual Matching and Aggregation for Multi-contrast MRI Super-resolution(阅读文献)10.12 基于变压器的磁共振多对比度超分辨率多尺度背景匹配与聚合 摘 ......

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 ######################################## ......

Screen fragments should never be restored. Follow instructions from https://github.com/software-mansion/react-native-screens/issues/17#issuecomment-424704067 to properly configure your main activity.

Screen fragments should never be restored. Follow instructions from https://github.com/software-mansion/react-native-screens/issues/17#issuecomment-42... ......

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 ......
Recommendations Standards PSR PHP

《PROMPT2MODEL: Generating Deployable Models from Natural Language Instructions》论文学习

一、Introduction 传统上,从零开始构建一个自然语言处理(NLP)模型是一项重大任务。一个寻求解决新问题的NLP从业者需要定义他们的任务范围,找到或创建目标任务领域的行为数据,选择合适的模型架构,训练模型,通过评估评估其性能,然后将其部署到实际应用中。 Prompt2Model is a ......

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) ......

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 ![](https://img2023.cnblogs.com/blog/17994 ......

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, ......
Recommender Language 模型 Systems 时代

error: The following untracked working tree files would be overwritten by merge

错误内容如下: error: The following untracked working tree files would be overwritten by merge: xxx/xxx/xxx/xxx/xxx/xxx/xxx.java Please move or remove them b ......

Position-Enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations

# Position-Enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations [TOC] > [Huang L., Ma Y., Liu Y., Du B., Wang S. and Li ......