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

Attentive Social Recommendation: Towards User And Item Diversities

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

Codes for CIKM'21 paper 'Self-Supervised Graph Co-Training for Session-based Recommendation'.

Graph Neural Networks for Recommender Systems

Codes for AAAI'21 paper 'Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation'

Recommender System Papers

Code for ICML2019 Paper "Compositional Invariance Constraints for Graph Embeddings"

A Python scikit for building and analyzing recommender systems

reXmeX is recommender system evaluation metric library.

Hierarchical Fashion Graph Network for Personalized Outfit Recommendation, SIGIR 2020

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

A tensorflow implementation of the RecoGCN model in a CIKM'19 paper, titled with "Relation-Aware Graph Convolutional Networks for Agent-Initiated Social E-Commerce Recommendation".

Code for my ORSUM, ACM RecSys 2020, HeroGRAPH: A Heterogeneous Graph Framework for Multi-Target Cross-Domain Recommendation

Respiratory Health Recommendation System

Implementation of a hadoop based movie recommendation system

An Efficient and Effective Framework for Session-based Social Recommendation

Collaborative variational bandwidth auto-encoder (VBAE) for recommender systems.

Cross Domain Recommendation via Bi-directional Transfer Graph Collaborative Filtering Networks

This is our Tensorflow implementation for "Graph-based Embedding Smoothing for Sequential Recommendation" (GES) (TKDE, 2021).