实现了一系列常见的推荐算法，如UserCF，ItemCF，SVD等，包含“切分训练集与测试集-训练模型-推荐-评估”一整套流程。
☆20Apr 29, 2020Updated 5 years ago
Alternatives and similar repositories for Recommend-system
Users that are interested in Recommend-system are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- CF 推荐系统的实现，以及我的改进。使用 MovieLens-1m 数据集，通过 MAE、Persicion、Recall 检验准确性。☆11Mar 16, 2021Updated 5 years ago
- Recommend system recall algorithms based on Pandas and Cython.☆12Sep 23, 2022Updated 3 years ago
- 平时没事干写的一些python脚本，提升效率☆11Nov 21, 2020Updated 5 years ago
- 一些传统推荐算法的实现，包括基于内容的推荐，协同过滤，矩阵分解☆298Mar 7, 2018Updated 8 years ago
- Parallel implementation of k-means clustering using MPI4PY and PyCUDA.☆10Mar 11, 2019Updated 7 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- 基于Python实现了基于物品的协同过滤推荐算法和基于用户的协同过滤推荐算法☆11Dec 11, 2020Updated 5 years ago
- Learning notes of Machine Learn & Deep Learning☆12Feb 13, 2019Updated 7 years ago
- 本系统是基于物品（item-based）的系统过滤算法。协同过滤推荐技术被认为是推荐系统算法中应用最为成功的技术之一。它通常采用最近邻（K-Nearest-Neighbor， KNN）算法，利用用户的历史记录来计算用户之间的距离，然后利用目标用户的最近邻用户对物品评价来预测…☆14Dec 18, 2019Updated 6 years ago
- 基于Netty实现简易的即时通讯IM系统☆13Jun 17, 2022Updated 3 years ago
- 实现的基于user和item的协同过滤算法☆52Aug 31, 2013Updated 12 years ago
- 电影推荐系统，包括基于ALS、LFM的离线推荐、实时推荐，基于Spark☆24Dec 16, 2020Updated 5 years ago
- Clustering Apotek Dataset Using K-Means++ and PSO_K-Means☆10Aug 8, 2020Updated 5 years ago
- 结合开源数据集进行电影推荐。推荐算法有：逻辑回归；UserCF ; ItemCF☆16Sep 9, 2020Updated 5 years ago
- 2020腾讯广告算法大赛方案分享及代码（冠军）☆14May 1, 2023Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- 对话集提取器是一个基于chatglm模型的工具，用于从文本中提取对话集。该工具可以帮助用户从小说、剧本等文本中自动提取出对话，以便进行分析、标注或其他应用。☆12Nov 22, 2024Updated last year
- MPI Implementation of GAlib (Genetic Algorithm Library written in C)☆22May 31, 2012Updated 13 years ago
- 用itemCF和userCF算法实现的音乐推荐系统☆15Apr 26, 2018Updated 7 years ago
- 利用pytorch实现的wide&deep，并利用avazu数据集进行了验证☆11Feb 4, 2021Updated 5 years ago
- 简单的基于新闻语料的推荐算法实现☆22Dec 16, 2016Updated 9 years ago
- 基于用户的协同过滤电影推荐算法☆24Jan 24, 2015Updated 11 years ago
- ☆20Sep 1, 2021Updated 4 years ago
- 基于 Pytorch 实现推荐系统相关的算法☆191Nov 17, 2021Updated 4 years ago
- 豆瓣电影爬虫 爬取top电影的评论 + 每个用户的看过的电影的评论 用于推荐系统的 协同过滤☆16Apr 14, 2019Updated 7 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- 微信大数据挑战赛2021☆18Sep 6, 2021Updated 4 years ago
- 实现了基于协同过滤(UserCF)的模型、基于隐语义(LFM)的模型、基于图(PersonalRank)的模型，并结合三种模型的结果给出最终结果的推荐算法☆24Mar 24, 2019Updated 7 years ago
- Notice that there are no torch-related code about item2vec, I just want to provide a readable item2vec implementation for researchers☆20May 12, 2022Updated 3 years ago
- TOP250豆瓣电影短评爬虫+数据分析☆20Dec 11, 2019Updated 6 years ago
- pdf转图片☆18Apr 9, 2021Updated 5 years ago
- 基于用户行为的推荐算法大赛---第四名（临兵斗列）☆41Oct 27, 2016Updated 9 years ago
- MBTI dataset,Sentiment Dataset,Micro Emotion，微博情感数据集,multi-label Chinese affective computing dataset. personality traits with six emotion…☆21Jun 3, 2025Updated 10 months ago
- Book-Recommendation-System是一个基于隐语言模型的图书推荐系统。使用movielens数据集，对隐含语言模型的改进算法Bias-SVD,SVD++，AsymmetricSVD在tensorflow进行比较；对隐语义模型的训练速度提出改进学习率的梯度下…☆25May 14, 2020Updated 5 years ago
- 篇章级事件抽取☆21Sep 2, 2020Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- notes and codes about NLP☆25Jan 22, 2019Updated 7 years ago
- 以中国新闻网社会新闻板块为抓取对象,通过关键词来分析新闻热点事件☆19Mar 8, 2020Updated 6 years ago
- 基于movielens数据集的电影推荐系统☆48Nov 22, 2022Updated 3 years ago
- 这是一个一键让小参数大模型进行角色扮演的项目，从数据构成和训练都包含在这项目中☆25Mar 31, 2024Updated 2 years ago
- 1.解析爬取到的Json歌单数据，并进行数据预处理。 2.基于Surprise推荐系统库，采用KNNBaseLine实现基于用户 的协同过滤歌曲推荐。3.借鉴Word2Vec算法思想进行Song2Vec处理，实现基于物品的协同过滤歌曲推荐。 4.采用 TensorFlow实…☆39Aug 16, 2018Updated 7 years ago
- 基于豆瓣影视数据(不完整)的影视大数据分析平台。爬虫（影视数据和用户数据），推荐系统（基于用户的协同过滤算法），后台（flask实现的简易后台）。☆37Jun 2, 2018Updated 7 years ago
- Based on the Evol-character framework and OpenAI API, enabling fine-grained role-playing data generation 🎭🧩.☆30Feb 1, 2024Updated 2 years ago