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A Python implementation of LightFM, a hybrid recommendation algorithm.

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Hi, I just some develop customizing recommend model based on Lightfm. it almost same things(movielense), but if input data don`t have user_id and only have purchase record(like movie-title, movie-rating), how...

I am creating a recommendation using LightFM. When I write the standard output and standard error when I run the script in a file, the Epoch log that is output...

bug

How do you solve the following thing that has happened on a MacBook pro-2017 (the computer is with version 10.15.3 Mac OS Catalina): When run a program in the 'lightfm'...

Hi, I'm learning more about Recommender models and LightFM and I've a question. Is there a recommended way/guidelines around how to perform feature selection for User/ Item features for use...

Hi, I'm new to recommender models and LightFM . I'm creating model for customer like/dislike recommendations (no ratings involved). What are the available options for model interpretability in such cases?...

question

I am really new to using lightFM and can't seem to figure out how to debug this error. Attaching the code snippet : interactions, weights = dataset.build_interactions(user_item_interactions['user_item_count']) train, test =...

Hello to everyone! I'm implementing a LightFM model on a TV series dataset. I want to include user features on Binge-watcher users and item features on binge-worthy series: basically I...

question

Hello, im trying to create an user_feature matrix but i cant. data = Dataset() data.fit(users.user_id.unique(),items.movie_id.unique()) ad_subset = users[["sex_F", 'age','occupation_administrator']] ad_list = [list(x) for x in ad_subset.values] ad_tuple = tuple(zip(users['user_id'], ad_list))...

So I've read over the many great "issues" here and the comments seem very helpful. I'm interested in running LightFM in production / near real-time. From what I've gathered, the...

question

Hey again! In response @maciejkula's [request](https://github.com/lyst/lightfm/pull/588/files/e7e4e825da2861ee455d147faef4dcc6062d812b#r571695680) on #588 I've added a test to check all combinations of valid input types for `user_ids` and `item_ids` (i.e. `tuple`, `list`, `ndarray`) pass successfully....