StackOverflow Questions for Tag: lightfm

lindelof

Reputation: 35240

With LightFM, recommending documents to users based on keywords in the absence of interactions

pythonrecommendation-enginelightfm

Score: 0

Answers: 0

Leafy

Reputation: 33

UserWarning: LightFM was compiled without OpenMP support

pythonrecommendation-enginelightfm

Score: 0

Answers: 0

MSS

Reputation: 55

Adding user and item features to LightFM Model

pythonrecommendation-enginelightfm

Score: 0

Answers: 0

samesame

Reputation: 11

TypeError: unhashable type: 'numpy.ndarray' with LightFM model

pythonnumpymachine-learningrecommendation-enginelightfm

Score: 0

Answers: 0

KwstisXD

Reputation: 11

My kernel dies when I fit my LightFm model from Microsoft Recommenders

jupyter-notebookkernelrecommendation-enginelightfm

Score: 1

Answers: 0

Luis Valencia

Reputation: 34028

ValueError: The user feature matrix specifies more features than there are estimated feature embeddings: 19400 vs 81728

pythonmachine-learningmatrixlightfm

Score: 0

Answers: 1

Serious

Reputation: 23

predict new user using lightfm

pythondata-sciencerecommendation-enginelightfm

Score: 0

Answers: 2

user9291966

Reputation: 11

Obtaining feature importance/Sensitivity for model interpretability

pythonrecommendation-enginematrix-factorizationlightfm

Score: 1

Answers: 0

Max

Reputation: 71

What's a good way to "weight" the importance of item/user features in LightFM?

lightfm

Score: 0

Answers: 0

Anna Denisova

Reputation: 7

LightFM model: scores and sigmoid function inside

pythonmachine-learningcythonlightfm

Score: 0

Answers: 1

Luis Valencia

Reputation: 34028

LightFM how to make predictions for new users (cold start) - user id 8 not in user id mappings

pythonpandasrecommendation-enginelightfm

Score: 1

Answers: 1

Luis Valencia

Reputation: 34028

DataError: No numeric types to aggregate pandas pivot

pythonpandaslightfm

Score: 0

Answers: 1

Lalit Vyas

Reputation: 241

Recommendations are coming same before and after fit_partial for new interactions for any user lightfm

pythonrecommendation-enginepersonalizationlightfm

Score: -3

Answers: 1

user11619814

Reputation: 439

How to build the dataset.build_item_features for LightFM recommendation model?

pythondatasetrecommendation-enginelightfm

Score: 2

Answers: 0

Serious

Reputation: 23

how to make an integer index corresponding to a string value?

pythonpandasdata-sciencelightfm

Score: 0

Answers: 2

Mahipal Singh

Reputation: 154

How to build interaction for LightFM fit?

pythonpython-3.xrecommendation-enginelightfm

Score: 1

Answers: 0

Deep Patil

Reputation: 1

Unable to install Lightfm

pythonpython-modulelightfm

Score: 0

Answers: 1

Ellie Biessek

Reputation: 168

Lightfm Incorrect number of features in user_features

python-3.xrecommendation-enginelightfm

Score: 1

Answers: 1

ADJ

Reputation: 102

Standard Collaborative Filtering vs Hybrid Light FM

machine-learningcollaborative-filteringrecommendation-enginelightfm

Score: 0

Answers: 1

xxx

Reputation: 41

How can I do cross validation on user-item interactions matrix for LightFM movie recommender system?

pythonmachine-learningcross-validationrecommendation-enginelightfm

Score: 1

Answers: 1

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StackOverflow Questions for Tag: lightfm

With LightFM, recommending documents to users based on keywords in the absence of interactions

UserWarning: LightFM was compiled without OpenMP support

Adding user and item features to LightFM Model

TypeError: unhashable type: &#39;numpy.ndarray&#39; with LightFM model

My kernel dies when I fit my LightFm model from Microsoft Recommenders

ValueError: The user feature matrix specifies more features than there are estimated feature embeddings: 19400 vs 81728

predict new user using lightfm

Obtaining feature importance/Sensitivity for model interpretability

What&#39;s a good way to &quot;weight&quot; the importance of item/user features in LightFM?

LightFM model: scores and sigmoid function inside

LightFM how to make predictions for new users (cold start) - user id 8 not in user id mappings

DataError: No numeric types to aggregate pandas pivot

Recommendations are coming same before and after fit_partial for new interactions for any user lightfm

How to build the dataset.build_item_features for LightFM recommendation model?

how to make an integer index corresponding to a string value?

How to build interaction for LightFM fit?

Unable to install Lightfm

Lightfm Incorrect number of features in user_features

Standard Collaborative Filtering vs Hybrid Light FM

How can I do cross validation on user-item interactions matrix for LightFM movie recommender system?

TypeError: unhashable type: 'numpy.ndarray' with LightFM model

What's a good way to "weight" the importance of item/user features in LightFM?