GitHub - ThoKimHuynh/recommendation-system-project: In this project, a Recommender System is built from 2 popular methods which are Content Based Filtering (Gensim and Cosine Similarity algorithms) and Collaborative Based Filtering (Alternating Least Square model in PySpark). Then, this recommender system is deployed onto Heroku cloud platform.

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In this project, a Recommender System is built from 2 popular methods which are Content Based Filtering (Gensim and Cosine Similarity algorithms) and Collaborative Based Filtering (Alternating Least Square model in PySpark). Then, this recommender system is deployed onto Heroku cloud platform.

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Name		Name	Last commit message	Last commit date
Latest commit History 7 Commits
ALS_model		ALS_model
ALS_rec_prod_img		ALS_rec_prod_img
cosine_rec_prod_img		cosine_rec_prod_img
gensim_model		gensim_model
gensim_rec_prod_img		gensim_rec_prod_img
images		images
ALS_customer_id_examples.csv		ALS_customer_id_examples.csv
Procfile		Procfile
avg_rating_customer.csv		avg_rating_customer.csv
cosine_model.pkl		cosine_model.pkl
cosine_similarities_df_example.csv		cosine_similarities_df_example.csv
cosine_similarity_example.csv		cosine_similarity_example.csv
gensim_example.csv		gensim_example.csv
name_description_first_row_processed_content.txt		name_description_first_row_processed_content.txt
name_description_first_row_raw_content.txt		name_description_first_row_raw_content.txt
processed_product_df1.csv		processed_product_df1.csv
processed_product_df2.csv		processed_product_df2.csv
product_highest_list_price.csv		product_highest_list_price.csv
product_lowest_list_price.csv		product_lowest_list_price.csv
requirements.txt		requirements.txt
sample_products_list.csv		sample_products_list.csv
setup.sh		setup.sh
streamlit_topic3.py		streamlit_topic3.py