about recommender system

最新推荐文章于 2025-06-18 20:03:05 发布
原创 最新推荐文章于 2025-06-18 20:03:05 发布 · 488 阅读 · 0 ·
CC 4.0 BY-SA版权
版权声明：本文为博主原创文章，遵循 CC 4.0 BY-SA 版权协议，转载请附上原文出处链接和本声明。
文章标签：

#links #quora #rs

本文提供了一个详细的推荐系统资源页面链接，包括各种推荐算法和技术的介绍，并附上了Quora上一位活跃的推荐系统研究者的个人主页链接。

一个介绍推荐系统页面：http://michael.hahsler.net/research/recommender/
Quora上的一个推荐系统研究者：https://www.quora.com/profile/Amit-Sharma-2

Graph Convolutional Neural Networks for Web-Scale Recommender Systems（用于Web级推荐系统的图形卷积神经网络）
weixin_41697507的博客
07-07 4367
Graph Convolutional Neural Networks for Web-Scale Recommender Systems 用于Web级推荐系统的图形卷积神经网络 ABSTRACT Recent advancements in deep neural networks for graph-structured data have led to state-of-the-art pe...
an excellent blog about recommender system
智障大师 的专栏
11-19 1808
不经意的找到的一个blog： http://www.guwendong.cn/上面有大量的关于推荐系统和collaborative filtering的相关资料。作者在这方面的研究很深入也很广泛，真是难得！
Recommender System — Collaborative filtering
a512977208的博客
03-21 318
1、概述 Collaborative filtering methods are based on collecting and analyzing a large amount of information on users’ behaviors, activities or preferences and predicting what users will like based ...
论文阅读——Recommender System: Review
高自强的博客
02-21 357
00 文章基本信息 文章来源：International Journal of Computer Applications 作者：Akshita II year, M.Tech PDM College Of Engineering For Women, Haryana, India；Smita Associate Professor PDM College Of Engineering For Women, Haryana, India； 01 摘要 This paper discuss variou
Pareto-based Multi-Objective Recommender System with Forgetting Curve
步子哥的博客
12-30 1172
具体来说，它提出了一个基于Pareto优化和遗忘曲线的多目标推荐系统（PMORS），以更好地处理用户的负面反馈，同时保持推荐系统的效果。2. 首次在处理负面反馈时采用遗忘曲线，提供了一个更合理和高效的方法。总结来说，这篇论文针对推荐系统中负面反馈的处理问题，提出了一个新的多目标推荐系统框架，通过结合遗忘曲线和Pareto优化，来更有效地利用用户的负面反馈来提升推荐质量。这些实验从不同角度验证了PMORS的有效性和鲁棒性，包括其处理负面反馈的能力、多目标优化的效果、模型的可扩展性以及在真实世界部署中的表现。
Building a Book Recommender System using Restricted Boltzmann Machines
「熊猫系列项目」ing
03-16 536
Building a Book Recommender System using Restricted Boltzmann Machines Edit: Repository with complete code to run and test the system can be found here. Motivation I am an avid reader (at least I thi...
Cousera Recommender System专项课程 Assignment1
u010737756的博客
11-26 596
代码自己一行行敲的，如有问题欢迎评论区讨论。 1.Mean Rating: Calculate the mean rating for each movie, order with the highest rating listed first, and submit the top three (along with the mean scores for the top two). impor...
COMP9727: Recommender Systems
liuhuisoso的博客
06-18 1731
COMP9727: Recommender Systems Assignment: Content-Based Music Recommendation Due Date: Week 4, Friday, June 27, 5:00 p.m. Value: 30% This assignment is inspired by a typical application of recommender systems. The task is to build a content-based “music re
Recommender Systems - Content-based recommendations
王彩旗的技术博客
02-18 155
Let's talk about the first approach to build a recommender system: content based recommendations. Suppose we have two features for each movie: : romance (degree of romance) : action (degree of action) And as usual, we define Then, each movie can be
【论文笔记(4)】ACM2021_A Survey on Stream-Based Recommender Systems
qq_42901861的博客
01-02 1691
目录Ⅰ 论文信息Ⅱ 论文框架1 INTRODUCTION2 CHARACTERISTICS OF SBRS2.1 General Information About RS2.2 Online Adaptive Learning in the Streaming Setting2.3 Algorithmic Description of SBRS3 RELATIONS WITH OTHER AREAS3.1 Time Dimension in RS3.2 Data Stream Mining and Onli
Practical Recommender Systems
02-20
Learn to build a recommender system the right way: it can make or break your application! Practical Recommender Systems explains how recommender systems work and shows how to create and apply them ...
Pareto-Efficient Hybridization for Multi-Objective Recommender Systems
u010505915的博客
05-04 1970
ABSTRACT 简介 Performing accurate suggestions is an objective of paramount importance for effective recommender systems. Other important and increasingly evident objectives are novelty and diversity, ...
Side Information-Knowledge Graph Convolutional Networks for Recommender Systems阅读笔记
I‘m Frank Lee
06-27 1588
Knowledge Graph Convolutional Networks for Recommender Systems 基本信息 作者 Hongwei Wang∗, Miao Zhao, Xing Xie, Wenjie Li, Minyi Guo† [重要作者提示] †Dr. Minyi Guo (过敏意), Zhiyuan Chair Professor, IEEE Fellow, ACM Distinguished Member 标签 Recommender systems; Knowledge
Multiple Objective Optimization in Recommender Systems 推荐系统多目标优化
u010505915的博客
05-03 1404
ABSTRACT 摘要 We address the problem of optimizing recommender systems for multiple relevance objectives that are not necessarily aligned. Specifically, given a recommender system that optimizes for o...
Gartner发布CISO人工智能安全指南：将AI安全治理融入所有网络安全治理体系CISO_Edge_Cybersecu_833542_ndx.pdf
12-08
Gartner发布CISO人工智能安全指南：将AI安全治理融入所有网络安全治理体系CISO_Edge_Cybersecu_833542_ndx.pdf
基于VSC的MVDC微电网(±10kV)转换器的互连通过等效RL电缆模块实现,此外，在电缆侧引入了P2P故障（Simulink仿真实现）
12-08
基于VSC的MVDC微电网(±10kV)转换器的互连通过等效RL电缆模块实现,此外，在电缆侧引入了P2P故障（Simulink仿真实现）
049脑筋急转弯看图猜地名游戏.pptx
12-08
049脑筋急转弯看图猜地名游戏.pptx
基于SSM的旅游热点推荐系统的设计与实现源码.zip
12-08
基于SSM的旅游热点推荐系统的设计与实现源码.zip
遗传算法找到形状描述符之间的最佳协调.zip
最新发布
12-08
1.版本：matlab2014a/2019b/2024b 2.附赠案例数据可直接运行。 3.代码特点：参数化编程、参数可方便更改、代码编程思路清晰、注释明细。 4.适用对象：计算机，电子信息工程、数学等专业的大学生课程设计、期末大作业和毕业设计。
recommender system
03-16
推荐系统是一种利用用户历史行为、兴趣、偏好等信息，为用户推荐个性化内容的系统。它可以帮助用户发现自己感兴趣的内容，提高用户体验，同时也可以帮助商家提高销售额和用户满意度。推荐系统广泛应用于电子商务、...
评论
添加红包

请填写红包祝福语或标题

个

红包个数最小为10个

元

红包金额最低5元

当前余额3.43元 前往充值 >
需支付：10.00元
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付元
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明：

1.余额是钱包充值的虚拟货币，按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载，可以购买VIP、付费专栏及课程。

余额充值