plex-recommender

Description: Get movie/tv recommendations based on your current PleX library. It will go through each item in the list, pull the number of recommendations you request, tally them, and then print out an ordered list of the most recommended items based on your inputs.

Notes: In order for it to work you will need a TMDB API key, which is free.

The script uses no external libraries, and is built for Python 3. There is little in the way for error checking bad user input.

Creating .json: I recommend using Tautulli to create the main .json for ingestion, the script is built around this specific export format. To do that, go to the library you want to export, choose 'Export Metadata' and set the following different from default:

Data File Format: JSON
Custom Metadata Fields: guids.id
Media Info Export Level: Level 0 - None / Custom

From there, all you have to do is run the script and select the previously created .json.

Example usage and output:

python .\recommender.py

(R)ecommended - From "recommended" list on media page.
(S)imilar - From similar keywords and genres.
Select recommendation type (R/S):
        s
Enter media type (Movie/TV):
        m
Enter number of recommendations (range 1-20):
        10
Enter TMDB API key:
        xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
Enter full path to Tautulli metadata output .json with guids.id field:
        ".\Library - Movies - All [1].json"


Extracting TMDB IDs from list of media at:
        .\Library - Movies - All [1].json...

Getting 10 TMDB recommendations for each of the 1166 IDs...
        Progress: |██████████████████████████████| 100.00% Complete

1 titles with no recommendations:
        Zombie Cop (1991)

Total recommendations:
        7947

Top 10 recommendations:
        Movie - Death Race (2008)
        TMDB - https://www.themoviedb.org/movie/10483
        IMDB - https://www.imdb.com/title/tt0452608/
        Recommended - 125 times

<snip>

Plex-recommender - Get movie recommendations based on your current PleX library

Related tags

Overview

plex-recommender

Owner

Graph Neural Networks for Recommender Systems

This library intends to be a reference for recommendation engines in Python

Pytorch domain library for recommendation systems

Real time recommendation playground

基于个性化推荐的音乐播放系统

Price-aware Recommendation with Graph Convolutional Networks,

Plex-recommender - Get movie recommendations based on your current PleX library

Recommender System Papers

6002project-rl - An implemention of offline RL on recommender system

Attentive Social Recommendation: Towards User And Item Diversities

Spark-movie-lens - An on-line movie recommender using Spark, Python Flask, and the MovieLens dataset

E-Commerce recommender demo with real-time data and a graph database

Fast Python Collaborative Filtering for Implicit Feedback Datasets

Books Recommendation With Python

Mutual Fund Recommender System. Tailor for fund transactions.

Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems

Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks

Reinforcement Knowledge Graph Reasoning for Explainable Recommendation

An open source movie recommendation WebApp build by movie buffs and mathematicians that uses cosine similarity on the backend.

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk