Incorporating User Micro-behaviors and Item Knowledge 59 60 3 into Multi-task Learning for Session-based Recommendation

ciecus

Last update: Dec 5, 2022

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Overview

MKM-SR

Incorporating User Micro-behaviors and Item Knowledge into Multi-task Learning for Session-based Recommendation

Paper data and code

This is the code for the SIGIR2020 Paper:Incorporating User Micro-behaviors and Item Knowledge into Multi-task Learning for Session-based Recommendation. We have implemented our methods in pytorch.

Here are two datasets we used in our paper. After download the datasets, you can put them in the folder: data/

KKbox: https://www.kaggle.com/c/kkbox-music-recommendation-challenge/data
JData: https://jdata.jd.com/html/detail.html?id=8 There is a small dataset demo included in the folder data/,which can be used to test the correctness of the code.

We have also inclueded some baseline codes in this paper.

Usage

You need to run the file data/data_prepare.py first to preprocess the data.

For example: cd data; python data_prepare.py --dataset=demo

usage: prepare.py [--dataset Demo][--remove_new_item]
optional arguments:
--dataset DATASET_PATH dataset name: Demo/Jdata/KKbox

Then you can run the file main.py to train the model.

usage: main.py 
optional arguments:
  --dataset             dataset name
  --batchSize           input batch size
  --hiddenSize          hidden state size
  --epoch EPOCH         the number of epochs to train for
  --lr LR               learning rate
  --l2 L2               l2 penalty
  --step STEP           gnn propogation steps
  --patience PATIENCE   the number of epoch to wait before early stop
  --remove_new_items    whether keep new item
  --mode                model mode,there we only keep MKM_SR,if you need other mode, you can contact with us, or use the ablation version.

Comments

Qusetion about your project

Why don't you take responsibility for the project?there're so many problems of your project!!!especially,your code is a description of your paper!!! If we can't reproduce it,can we reasonably think that your paper is a faker?

opened by kaileby 1
JData is not accessible since the competition is closed

Hi, I would like to download the JData, but it seems that it is not accessible since the competition has closed. Is there any other way that I could download it?

Thank you.

opened by rowedenny 1
Data preparation functions aren't available

Hi - I wanted to reproduce your experiments from the paper, and understand the process.

I can't seem to find the code for data_prepare.py or prepare.py as mentioned in the README. Only the data folder is visible. Could you add those files?

Thank you!

opened by trisongz 4

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Incorporating User Micro-behaviors and Item Knowledge 59 60 3 into Multi-task Learning for Session-based Recommendation

Related tags

Overview

MKM-SR

Paper data and code

Usage

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Comments

Qusetion about your project

JData is not accessible since the competition is closed

Data preparation functions aren't available

Owner

ciecus

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