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The primary objective of this project is to develop a robust book recommendation system that suggests titles to users based on their preferences, ratings, and reviews. Effective recommendation systems…
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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Feature Description
Data Collection
Collect user interaction data such as clicks, views, and purchases. Store…
sv410 updated
1 month ago
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**Problem Statement:**
Currently, the platform relies on manual matching between students/researchers and relevant projects/stakeholders. This process can be time-consuming and inefficient, especia…
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***By Sandeep Panta, Translational Research in Neuroimaging and Data Science (TReNDS) Center, Georgia State University***
***Recording and streaming volunteer ***
### Emergent session #3, #1
…
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I want to implement personalized Shopping Assistant using AI to recommend products based on user preferences.
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To evaluate the behavior of the two agent types—**IndividualAgent** (competitive, individualistic behavior) and **SystemAgent** (collaborative, cooperative behavior)—design a series of experiments tha…
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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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https://www.kaggle.com/code/yldzburhan/books-collaborative-filtering
https://www.kaggle.com/datasets/zygmunt/goodbooks-10k/data?select=tags.csv
https://www.kaggle.com/datasets/jealousleopard/goodrea…
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***By Sandeep Panta, Translational Research in Neuroimaging and Data Science (TReNDS) Center, Georgia State University***
***Recording and streaming volunteer ***
### Emergent session #3, #1
…
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**What would you like to be added/modified:**
1. Build a collaborative code intelligent agent alignment dataset for LLMs:
- The dataset should include behavioral trajectories, feedback, and i…