lightfm
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A Python implementation of LightFM, a hybrid recommendation algorithm.
Hi , I am trying now to predict for batch users, so I am using your suggestion from issue #240. I am getting an error after first batch. Do I...
I got this issue when I run this `dataset.build_interactions(df.iloc[:, 0:3].values)` > Item id 5863.0 not in item id mapping. Make sure you call the fit method. The dataset is done...
Just a question, is there a way to evaluate the lightfm models, e.g. precision@k, auc, recall@k but for some selected items only? Is there a way to mask the items...
Hey all, I have been using LightFM in an e-commerce application with a decent amount success. Thanks for this really cool package! I'm in the process of optimizing the recommendation...
The purpose of these changes is to provide access to the average loss values from each epoch of model-fitting. Some of the included Cython changes are incidental: They were necessary...
Hi all, There are numerous ways besides random split in which the interactions dataset can be split, such as temporal split, user split etc. (See https://arxiv.org/pdf/2007.13237.pdf) So far it seems...
Hello, I am sorry I'm quite new on GitHub, feel free to correct me or my issue if something's wrong. I just wanted to highlight that when installing lightfm with...
The documentation homepage says, "LightFM is a Python implementation of a number of popular recommendation algorithms for both implicit and explicit feedback." But if it can work with explicit feedback,...
` File "/opt/ml/processing/input/code/train.py", line 934, in output_dir=args.output_dir File "/opt/ml/processing/input/code/train.py", line 903, in run_model output_dir File "/opt/ml/processing/input/code/train.py", line 867, in run_lightfm_model num_threads=num_threads, File "/opt/ml/processing/input/code/train.py", line 832, in fit_model num_threads=num_threads, File "/usr/local/lib/python3.7/site-packages/lightfm/lightfm.py",...
I'm currently working on a system to rank different restaurants. Currently, I see the effect of popularity bias in restaurant ranking like most frequent ordered restaurants is mostly being recommended....
