Combines user-based and item-based recommendation systems to deliver personalized movie suggestions, utilizing user preferences and film characteristics.
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Apr 1, 2024 - Python
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user-based-recommendation
Here are 16 public repositories matching this topic...
Hybrid RecSys, CF-based RecSys, Model-based RecSys, Content-based RecSys, Finding similar items using Jaccard similarity
spark
collaborative-filtering
xgboost
cosine-similarity
upsampling
jaccard-similarity
tfidf
content-based-recommendation
surprise-python
pearson-correlation
xgboost-regression
tf-idf-score
svd-matrix-factorisation
user-based-recommendation
item-based-recommendation
similar-items
feature-augmentation
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Jun 3, 2021 - Python
User-based collaborative filtering movie recommender using MovieLens dataset
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Mar 4, 2020 - Python
Association Rule Learning, Content Based Recommendation, Item Based Collaborative, Filtering User Based Collaborative Filtering, Model Based Matrix Factorization projects i've done about
python
matrix-factorization
recommendation-system
arl
content-based-recommendation
user-based-recommendation
item-based-recommendation
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Jan 25, 2023 - Python
An application that recommends music on the basis of previous heard songs of a user using a ML model. Using Collaborative-based filtering to recommend other songs similar to what the user likes. Download Data set from Kaggle (Million song data set)
collaborative-filtering
recommendation-system
python-flask-application
user-based-recommendation
music-recommendation-system
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Jan 8, 2023 - Python
Recommendation algorithms
python
algorithm
tensorflow
word2vec
pytorch
collaborative-filtering
recommendation-system
recommender-system
knn
google-translate
konlpy
annoy
bert-model
user-based-recommendation
item-based-recommendation
huggingface-transformers
mean-based-recommendation
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Nov 13, 2023 - Python
In this repository, I implement a recommender system using matrix factorization. Here, two types of RS are implemented. First, use the factorized matrix for user and item. and second, rebuild the Adjacency matrix. both approaches are acceptable and implemented in this repo. To factorized the matrix, funk-svd Algorithm is used. you can find his i…
matrix-factorization
recommender-system
svd
funk-svd
user-based-recommendation
item-based-recommendation
factorized-matrix
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Jan 12, 2021 - Python
A simple movie recommender system that uses two main approaches to make recommendations: Content-based algorithm and Collaborative filtering algorithm (User-based).
collaborative-filtering
recommendation-system
recommender-system
content-based-recommendation
content-based-filtering
user-based-recommendation
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Feb 24, 2021 - Python
easy use user based collaborative filtering recommender system
recommender
recommendation-system
recommender-system
recommendation
recommend
user-based-recommendation
user-based-recommendation-system
user-based-recommender-system
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Feb 1, 2024 - Python
An application that uses the algorithm of user-based collaborative filtering and item-based collaborative filtering to recommend new movies
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Nov 29, 2020 - Python
A study on the naive user-based collaborative filtering algorithm and related improvements on the Movielens dataset.
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Dec 16, 2020 - Python
The site offers movie recommendations based on user and item-based collaborative filtering, utilizing other users' ratings to provide personalized suggestions on the website.
javascript
mysql
css
python
html
django
sql
cosine-similarity
knn
user-based-recommendation
item-based-recommendation
movie-recomendation-system
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Oct 2, 2023 - Python
A python implementation of a hybrid semantic-based collaborative filtering recommender systems.
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Mar 14, 2023 - Python
Demo is available at https://huggingface.co/spaces/quyanh/Book-Recommender-System
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May 26, 2023 - Python
Competition for the Recommender Systems course @ PoliMi. The objective is to recommend relevant TV shows to users. Models were evaluated on their MAP@10.
matrix-factorization
recommender-systems
implicit-feedback
hybrid-recommender-system
content-based-filtering
user-based-recommendation
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May 14, 2024 - Python
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