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Recsyspapers

Recsyspapers is a GitHub-based, categorized collection of research papers in recommendation systems, advertising and search, organized by topics including ranking, retrieval, multimodal methods, fairness and causal inference.

Independent OpenViST project profile, based on linked sources.

Recsyspapers — OpenViST project profile in Search & Research AI.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when you need a topic-organized starting point for finding papers in recommendation, advertising or search research.

Who it is for

  • Researchers and students beginning or organizing a literature review in recommendation systems.
  • Practitioners looking for papers grouped by recommendation, advertising or search methods.

Documented uses

  • Find papers grouped by topics such as retrieval, ranking, reranking and learning to rank.
  • Survey research on fairness, debiasing, diversity, causal inference or reinforcement learning.
  • Use the directory as a starting point for literature reviews across recommendation and search.
Before you choose

Requirements & limits

  • The README says a paper may fit several subcategories but is placed under the category judged most central, so topic browsing may not surface every relevant paper.
  • Colons in paper titles are replaced with hyphens in filenames.
  • Some bracketed filename prefixes indicate year, organization or model/method; the README says the first prefix can indicate that the curator has read the paper.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Browse and narrow the recommendation research paper collection

Use the repository’s topic directory and filename conventions to locate papers in a recommendation research area.

Before you start

  • Access to the RecSysPapers repository or its README.

Steps

  1. Open the repository README and use its paper-directory links to choose a topic such as Rank, Match, Fairness, or CausalInference.

  2. Browse the selected category’s paper links and open a paper of interest.

  3. Use filename prefixes as available: the first bracketed field indicates the year, the second may identify the institution or company, and the third may give the model or method abbreviation.

  4. When searching by title, account for colons being replaced with hyphens in filenames.

Expected outcome

A selected paper can be explored within the collection’s topic organization and filename conventions.

Guide limitations

  • A paper that spans multiple topics may be placed only under its primary category; categories can change.
  • The repository is for exchange and learning, not commercial purposes.
Evidence and transparency

Sources & review

Source record details
Source availability
Active
Sources checked
15 October 2026
Original website title
tangxyw/RecSysPapers · Official homepage title · retained in its source language