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

The source code for "Global Context Enhanced Graph Neural Network for Session-based Recommendation".

Movie Recommender System

Pytorch domain library for recommendation systems

基于个性化推荐的音乐播放系统

ToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms

Persine is an automated tool to study and reverse-engineer algorithmic recommendation systems.

Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks

A framework for large scale recommendation algorithms.

Implementation of a hadoop based movie recommendation system

fastFM: A Library for Factorization Machines

Recommendation System to recommend top books from the dataset

Recommender systems are the systems that are designed to recommend things to the user based on many different factors

Recommender System Papers

RecList is an open source library providing behavioral, "black-box" testing for recommender systems.

A movie recommender which recommends the movies belonging to the genre that user has liked the most.

A TensorFlow recommendation algorithm and framework in Python.

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

Accuracy-Diversity Trade-off in Recommender Systems via Graph Convolutions

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