Issues
- 2
Can't install on Python 3.12
#709 opened by daviddavo - 2
Can't seem to install with with poetry
#711 opened by RILUCK - 0
Creating recommendations for single users without leveraging user identity features
#708 opened by ninahua - 1
Does calculating precision@k for one user makes sense?
#707 opened by saba-zones - 2
How to improve precision?
#673 opened by iDataist - 1
How to validate the Dataset.mapping
#670 opened by marcosvliras - 0
LightFM kills Jupyter Kernel when fitting model
#706 opened by MBuggey - 0
- 3
- 1
Can't install on Python 3.10.6 in Ubuntu
#703 opened by guilhermeparreira - 4
- 7
Python 3.10 (and above) Support
#675 opened by wutaomsft - 0
Auc evalutation return always nan
#702 opened by apujol-accenture - 0
Evaluate AUC on a subset of items
#701 opened by federico-fabiani - 1
Is there a way to save Dataset()?
#698 opened by Lulu20220 - 0
How to get clusters of users from trained lightfm model on implicit rating model?
#700 opened by vyaslkv - 8
Can't seem to install with with poetry 1.2.0
#660 opened by TNonet - 2
Cannot get MovieLens labels' correctly
#682 opened by baibai25 - 3
losses except the logistic kills the kernel
#684 opened by sameerdroid - 0
Item and User Normalization
#697 opened by wahabaftab - 1
Incorporating item and user biases in LightFM embeddings for accurate recommendations in Vespa
#696 opened by Homa-Radaei - 1
How to deploy model using node js
#669 opened by s-bh - 0
Feature Request: Support for Freezing Item Embeddings while Updating User Embeddings During Training
#694 opened by iDataist - 0
Features importance in lightFM
#689 opened by Natsuhadder - 9
- 0
- 1
- 3
Light FM throwing an installation error: AttributeError: 'dict' object has no attribute '__LIGHTFM_SETUP__'
#687 opened by aivansky-contractor - 0
do I need to pass user and item matrixes to predict method for known users and items in fit step
#683 opened by unrepeat - 7
UPD: The problem installation persists with version 1.17_30.03.2023/lightfm 1.16 installation problem_11.12.2022
#671 opened by Abricovich - 3
Unable to load movielens dataset
#676 opened by pratikkejriwal - 0
- 0
- 0
LightFM rerecommending items
#664 opened by jessicaeggen - 1
- 0
Meaning of the recommendation scores
#672 opened by apadros01 - 1
Add new user/item ids or features
#667 opened by PaulSteffen-betclic - 0
Using LightFM for Retail Customer Recommendation based on purchased products
#668 opened by gundewardv - 1
Dividing data into train/test based on Time
#657 opened by Richie-Peak - 0
Temporal splitting
#663 opened by EdwardALockhart - 1
- 1
Duplicate user-item pairs
#654 opened by giorgiozannini - 0
can i set different n_components (the embedding dimension) for user, item and interactions
#659 opened by WenY2020 - 0
It is unclear why evaluation metrics (auc_score, precision_at_k) fail when train and test data have high overlap
#658 opened by Richie-Peak - 0
Do momentum and gradients required for predictions?
#656 opened by dbalabka - 0
- 1
Getting duplicates in predictions
#652 opened by gogaurav - 0
Do I need to provide item/user features for predict() if I've already include the features in fit()?
#651 opened by ryanzh - 0
Question: What happens if a meta-data feature is specific for a single item or user?
#649 opened by ilaria-speranza - 0
issue on user_ids parameter. This must be either int or np.int32 array. Type received: <class 'numpy.int64'>**
#648 opened by marcusau