Code Monkey home page Code Monkey logo

cocorec's Introduction

CoCoRec

The official implementation of the CoCoRec algorithm proposed in the paper "Category-aware Collaborative Sequential Recommendation" which is accepted to SIGIR 2021.

To run the code,

      python main_time.py

The datasets are Taobao (https://tianchi.aliyun.com/dataset/dataDetail?dataId=649) and BeerAdvocate (http://jmcauley.ucsd.edu/cse255/data/beer/). Basically any dataset having sequences of user actions and the category information of items can be used for the algorithms.

BibTeX for citation:

@inproceedings{cai2021category,
  title={Category-aware collaborative sequential recommendation},
  author={Cai, Renqin and Wu, Jibang and San, Aidan and Wang, Chong and Wang, Hongning},
  booktitle={Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval},
  pages={388--397},
  year={2021}
}

cocorec's People

Contributors

renqincai avatar

Stargazers

Jinxu Yang avatar Alisa Ianovskaia avatar avatar avatar Amiber avatar euphoria avatar Yanchen Luo avatar WNDodge avatar Jeria avatar Jasmine avatar yueluo avatar

Watchers

James Cloos avatar avatar Yueqi Xie avatar avatar

Forkers

sxf0 charleoy woshiyitongshui ambier crystal22

cocorec's Issues

Could you share the code and data？

Hi, I've read your book, marveled at the innovation and efficiency of the work, and I'd like to do more research.
I would appreciate it if you could release the data and code as soon as possible. Thank you for your contribution.

Could you please release the code and data as soon as possible?

Hi!
I have read the paper, and I am very interested in your work which is very novel and creative. Could you please release the code and data as soon as possible?
I would like to do some further research on your work, and your open source work will be of great benefit to me, which i will be very appreciated for.
Thx!

Hi!I have read the paper and I am very interested in your work, which is very creative.Could you publish the code and data as soon as possible?I'd like to do more research on your work and your open source work will help me a lot, I'll be very grateful.

Hi!I have read the paper and I am very interested in your work, which is very creative.Could you publish the code and data as soon as possible?I'd like to do more research on your work and your open source work will help me a lot, I'll be very grateful.

why is RNN_version?

hello!
The base model described in the paper is self-attention. Why is RNN version of the code you provided?

please

Hi, I really love what you guys do. It's great.
It's very clear and very effective.
When can you publish the data and code,please?

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.