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A Python implementation of LightFM, a hybrid recommendation algorithm.

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We have users and deals that they are booked. So if booking considered as interaction, then how could we build the interactions? In some cases, deal are not booked by...

I've seen a few posts that mentioned this error but I haven't been able to find a solution that resolves my case. I'd really appreciate any tip, advice, or direction...

Hello. I have been trying to use the LightFM predict function for every user and every item in the system. Essentially, my problems occur with supplying the input to predict,...

Hi Maciej! Thank you for a great tool and a concise implementation of a WARP loss, this thing really helps to beat plan MF. But so far my problem is...

When prediction with Lightfm model fitted with item-features for a new item, what should the item-id be in the predict function? In fact it is working with 0, is that...

How can this be done with LightFM? Imagine you have a very good model already trained, and you discontinue a large group of products, and also some of your users...

Hi, In Rendle's original paper on FM (https://www.csie.ntu.edu.tw/~b97053/paper/Rendle2010FM.pdf), he used a feature that captures the time of the user-item interaction. This should improve the model. In your model, from what...

--------------------------------------------------------------------------- ValueError Traceback (most recent call last) in () ----> 1 item_features=dataset.build_item_features(itemFeatures) 2 frames /usr/local/lib/python3.6/dist-packages/lightfm/data.py in _process_features(self, datum) 90 raise ValueError( 91 "{entity_type} id {entity_id} not in {entity_type} id mappings.".format(...

Hello! I am trying to add the new user with new ratings to the model and retrain it but I am not sure how to do this; I have tried...

Thanks for opening an issue! Please include as much detail as possible: what does your dataset look like, what hyperparameters you are using (and have you tried other ones?). When...