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GitHub / akshitvjain / item-based-recommender
An item-based recommender model that computes cosine similarity for each item pairs using the item factors matrix generated by Spark MLlib’s ALS algorithm and recommends top 5 items based on the selected item.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/akshitvjain%2Fitem-based-recommender
Stars: 2
Forks: 3
Open Issues: 0
License: None
Language: Python
Repo Size: 14.6 KB
Dependencies:
0
Created: over 4 years ago
Updated: about 2 years ago
Last pushed: over 4 years ago
Last synced: about 1 year ago
Topics: als, cosine-similarity, mllib, movie-recommendation, product-recommendation, pyspark, recommendation-engine, spark
Files
No dependencies found