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LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation
https://arxiv.org/abs/2302.08191
```bib
@misc{cai2023lightgclsimpleeffectivegraph,
title={LightGCL: Simple Yet Ef…
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1. Good Readme. However, you need to detail the reasons for your methodologies, i.e Why did you use Collaborative Filtering over other models. You also need to now put your results and what next steps…
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I am wondering if Spotlight includes the iMF model proposed in _'Collaborative Filtering for Implicit Feedback Datasets'_ by **Yifan Hu** (not BPR)?
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https://docs.google.com/spreadsheets/d/1_QywPhhYlUsiEfllmSdNKnMJY3R10OVtsP5oGbdzTzU/edit?gid=1582506731#gid=1582506731
use the concentrations and media found here as a starting point, then apply acro…
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I aim to the following sigmoid-outputting models for team formation:
1. Neural Collaborative Filtering (NCF) with MLP/FNN:
- NCF has demonstrated success in recommendation systems and collaborat…
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First, it is totally possible that I am misunderstanding something basic or have a bug in my code.
But I am consistently finding that adding item features actually _reduces_ performance compared wi…
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a collaborative filtering recommendation engine that learns from user search behaviors and recommends search results based on the search behavior of similar users.
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Feng Wei, Shaoyin Cheng, Fan Jiang. Character-level Convolutional Collaborative Filtering for Document Context-Aware Recommendation. Engineering Applications of Artificial Intelligence, 2017. (Under R…
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### Title
Commerce Product Recommendation System - Enhanced Collaborative Filtering and Model Evaluation
### Enhancement Aim
to improve the recommendation system's effectiveness by adding and refin…
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http://yifanhu.net/PUB/cf.pdf