| public-apis/public-apis |
276,890 |
|
0 |
0 |
about 2 years ago |
0 |
|
233 |
mit |
Python |
| A collective list of free APIs |
| caserec/Datasets-for-Recommender-Systems |
821 |
|
0 |
0 |
over 2 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS) |
| shenweichen/DSIN |
405 |
|
0 |
0 |
almost 3 years ago |
0 |
|
5 |
apache-2.0 |
Python |
| Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction" |
| HongZhaoHua/jstarcraft-rns |
368 |
|
0 |
0 |
about 3 years ago |
0 |
|
0 |
apache-2.0 |
Java |
| 专注于解决推荐领域与搜索领域的两个核心问题:排序预测(Ranking)和评分预测(Rating). 为相关领域的研发人员提供完整的通用设计与参考实现. 涵盖了70多种排序预测与评分预测算法,是最快最全的Java推荐与搜索引擎. |
| sidooms/MovieTweetings |
367 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
mit |
|
| A Live Movie Rating Dataset Collected From Twitter |
| rdevooght/sequence-based-recommendations |
282 |
|
0 |
0 |
about 6 years ago |
0 |
|
9 |
mit |
Python |
| e9t/nsmc |
259 |
|
0 |
0 |
about 9 years ago |
0 |
|
1 |
|
Python |
| Naver sentiment movie corpus |
| daicoolb/RecommenderSystem-DataSet |
235 |
|
0 |
0 |
over 5 years ago |
0 |
|
1 |
|
|
| This repository contains some datasets that I have collected in Recommender Systems. |
| khanhnamle1994/movielens |
202 |
|
0 |
0 |
almost 7 years ago |
0 |
|
5 |
mit |
Jupyter Notebook |
| 4 different recommendation engines for the MovieLens dataset. |
| clhchtcjj/BiNE |
169 |
|
0 |
0 |
over 5 years ago |
0 |
|
8 |
|
Python |
| BiNE: Bipartite Network Embedding |
