Summary

This repository serves as a comprehensive, curated bibliography of recent research papers in the field of Recommender Systems (RecSys). It addresses the challenge of staying updated with the rapidly evolving landscape of RecSys research by consolidating key publications from top-tier academic conferences. The primary benefit for researchers, engineers, and practitioners is a centralized, up-to-date resource for identifying cutting-edge advancements and trends in the domain.

How It Works

The project functions as a meticulously organized list of research paper titles, categorized by major academic conferences (e.g., RecSys, SIGIR, KDD, WWW, IJCAI, ICML) and publication years. The core approach is curation, aiming to capture significant contributions and emerging themes. This method provides a structured overview, enabling quick identification of relevant literature without requiring direct code execution or software installation.

Quick Start & Requirements

This repository is a curated list of research paper titles and does not contain executable code. Therefore, there are no installation or running commands. Access to academic paper repositories or search engines is required to retrieve the full papers. No specific hardware or software prerequisites are listed beyond general internet access.

Highlighted Details

• Features an extensive collection of papers from leading conferences such as RecSys, SIGIR, KDD, WSDM, CIKM, WWW, IJCAI, and ICML.
• Includes research from recent years, with entries up to 2025, reflecting the latest advancements.
• Organizes papers chronologically and by conference, facilitating targeted literature review.
• The sheer volume and breadth of listed papers offer a comprehensive snapshot of the RecSys research landscape.

Maintenance & Community

The repository appears to be actively maintained, with recent modifications noted as of September 22, 2025. However, the README does not provide links to community channels (e.g., Discord, Slack), specific contributor details, or sponsorship information.

Licensing & Compatibility

No licensing information is provided within the README. This absence makes it impossible to determine compatibility for commercial use or closed-source linking without further inquiry.

Limitations & Caveats

As a curated list, this repository does not host the research papers themselves, only their titles and conference affiliations. Some entries may link to unavailable URLs or papers not yet published, as indicated in the README. The most significant caveat for adoption is the complete lack of licensing details, which is a critical omission for any technical due-diligence assessment.