# Information Retrieval: Recent Advances and Beyond

**Authors:** Kailash A. Hambarde, Hugo Proenca  
**arXiv:** [2301.08801](https://arxiv.org/abs/2301.08801)  
**Date:** 2023-01-20  
**Summary page:** https://www.summarizepaper.com/en/paper/2301.08801v1/

## Key points

- Paper titled "Information Retrieval: Recent Advances and Beyond" by Kailash A. Hambarde and Hugo Proenca
- Overview of models used in information retrieval processes
- Focus on first and second stages of processing chain
- Exploration of state-of-the-art models incorporating terms, semantic retrieval, and neural methods
- Insights into learning process of these models for researchers and practitioners in information retrieval domain

## Summary

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In their paper "Information Retrieval: Recent Advances and Beyond," Kailash A. Hambarde and Hugo Proenca provide a comprehensive overview of models used in information retrieval processes. The study focuses on the first and second stages of the processing chain, exploring state-of-the-art models that incorporate terms, semantic retrieval, and neural methods. The authors also delve into key topics related to the learning process of these models, offering valuable insights for researchers and practitioners in the information retrieval domain. This survey serves as a valuable resource for understanding the latest advancements in information retrieval techniques, highlighting their significance in improving search efficiency and relevance across various fields. Through their detailed analysis, Hambarde and Proenca contribute to advancing knowledge in this area and offer guidance for future research directions in information retrieval.