moviegeek
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practical-recommender-systems
A django website used in the book Practical Recommender Systems to illustrate how recommender algorithms can be implemented.
Hello there! Install is completed, postgresql set up, db population done, server is up, I chose some movies and bought some of them. But as long as I click on...
When I click the save for later button on the movie poster, nothing happens. What should I do?
Some movie titles have more than 128 character like this(140 character): **_"Lethal Kittens or how we came to Love our Shovels during a Limited Anti-Terrorist Operation with Temporary Elements of...
If you follow a cluster link on the analytics page, the web app produces an error: ``` django.db.utils.ProgrammingError: operator does not exist: character varying = integer LINE 1: ...lytics_rating" WHERE...
When I fired up the app, the backend sent an error saying file not found: "./models/funkSVD/2018-01-01 10:01:34.179393/model/". This directory does not exist anywhere. I run all the tests and any...
`user_id` in the `Cluster` model is an integer field and `user_id` of `Ratings` is a char field. That's why when you try to visit a page of cluster (for example...
My computer is an apple m1, using docker desktop for mac. Here is my trace: ```❯ ./db-migrate.sh Creating live-project_web_run ... done /usr/local/lib/python3.8/site-packages/django/core/management/commands/makemigrations.py:105: RuntimeWarning: Got an error checking a consistent migration...
In the following line, an overlap matrix is created by converting the coo matrix to boolean, then to integer. https://github.com/practical-recommender-systems/moviegeek/blob/d02d797f38abdee95eed2918debb1de3bdf35ed1/builder/item_similarity_calculator.py#L52 However, what this does is that it converts the ratings...
When you calculate the predictions for in the recommenders, the user mean is calculated, but then substracted from each rating, resulting in it being canceled out. [Example:](https://github.com/practical-recommender-systems/moviegeek/blob/d02d797f38abdee95eed2918debb1de3bdf35ed1/recs/neighborhood_based_recommender.py#L30) **user_mean** = sum(movie_ids.values())...
Hi! thanks for making great book 👍 but... I think docker build fails on latest master I'm on mac os monterey 12.3 ``` docker-compose build web [+] Building 175.8s (10/11)...
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A django website used in the book Practical Recommender Systems to illustrate how recommender algorithms can be implemented.