recommenders-team/recommenders

[ASK] Getting recommendation with xDeepFM

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#1,728 opened on May 31, 2022

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help wanted

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Description

Description

I am actually using xDeepFM to find recommendation with implicit feedbacks and I did not find examples on how to find top-k recommendation with the model. I tried to use the function model.predict() with a file containing all the possible interactions between my users and items to find a score for each pair and sorting these scores to find top-k recommendation. This method gives me the same recommendation for every user so I would want to know if my method is wrong and what would you suggest to find top-k recommendation ?

Contributor guide

Research direction
Explore the xDeepFM model's prediction output and how to generate top k recommendations per user. Check if the model expects negative sampling or a different inference setup. Review the library's documentation and examples for top k recommendation.
Tech stack
python
Domain
machine learningai
Issue type
Research
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-2 days
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Mostly clear
Prerequisites
PythonMachine Learning
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
40