| echen/scaldingale |
116 |
|
0 |
0 |
about 13 years ago |
0 |
|
0 |
mit |
Scala |
| Movie recommendations and more in MapReduce and Scalding |
| kellypeng/scentmate_rec |
68 |
|
0 |
0 |
about 8 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| Built a fragrance recommender using multiple machine learning algorithms to help people find their perfect match. The final deliverable was a webapp. |
| andre-st/goodreads-toolbox |
67 |
|
0 |
0 |
about 3 years ago |
0 |
|
16 |
gpl-3.0 |
Perl |
| 9 tools for Goodreads.com, for finding people based on the books they’ve read, finding books popular among the people you follow, following new book reviews, etc |
| MrPowers/ceja |
30 |
|
0 |
0 |
over 2 years ago |
0 |
|
3 |
mit |
Python |
| PySpark phonetic and string matching algorithms |
| pmerienne/iterative-cf |
19 |
|
0 |
0 |
almost 13 years ago |
1 |
February 09, 2020 |
0 |
other |
Java |
| storm/trident based highly scalable recommendation engine |
| siddgood/podcast-recommendation-engine |
19 |
|
0 |
0 |
about 3 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| :microphone: Building a content-based podcast recommender system using NLP |
| kranthisai/Itemcf |
17 |
|
0 |
0 |
over 9 years ago |
0 |
|
0 |
|
Java |
| ItemBased Collaborative Filtering in Apache Spark |
| ZwEin27/User-based-Collaborative-Filtering |
11 |
|
0 |
0 |
over 10 years ago |
0 |
|
0 |
mit |
Python |
| User-based Collaborative Filtering in Python |
| lbechberger/LearningPsychologicalSpaces |
10 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
other |
Python |
| Learning a mapping from images to psychological similarity spaces with neural networks. |
| junolee/joke-recommender |
6 |
|
0 |
0 |
over 9 years ago |
0 |
|
0 |
|
Python |
| Built recommendation system based on a dataset of over 4 million ratings of jokes using GraphLab |
