CODEWITHSUNDEEP
pythonpython-3.xrecommendation-enginelightfm
Mahipal Singh
Mahipal Singh

Reputation: 154

How to build interaction for LightFM fit?

I want to train LightFM with Dataframe shown below.

FromUserID Title PostID Views Likes
1 Cricket 34 12 8
6 Mobile 37 11 6
3 tv 34 8 5
5 WTC final 30 6 5

I already trained the model with Views column (which is working fine) but also want to add Likes column. I have seen lot of examples, however I'm still not able to understand how to train model based on dataframe I have.

Below are the code snippets I tried so far,

x = actual_topreviews.pivot_table(index='FromUserID', columns='PostId', values='Views')
xNan = x.fillna(0)
        
interaction = sp.csr_matrix(xNan.values)
hybridModel = LightFM(loss='warp-kos')
hybridModel.fit(interaction, epochs=30)

user_x=3
n_users, n_items = interactions.shape
scores = pd.Series(model.predict(user_x, np.arange(n_items)))

How can I train the model with both Views and Likes column?

Any suggestions or code snippets to help my understanding would really be appreciated. thank you

Upvotes: 1

Views: 303

Answers (0)

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