Results 101 to 110 of about 250,954 (220)
This paper introduces GraphTrace, a novel retrieval framework that integrates a domain-specific knowledge graph (KG) with a large language model (LLM) to improve information retrieval for complex, multi-hop queries.
Anna Osipjan +4 more
doaj +1 more source
The Power of Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval [PDF]
Minghan Li +4 more
openalex +1 more source
Incorporating Relevance Feedback for Information-Seeking Retrieval using Few-Shot Document Re-Ranking [PDF]
Tim Baumgärtner +3 more
openalex +1 more source
Ranking Index Berita New Normal dengan Metode Information Retrieval Menggunakan Vector Space Model
Nandang Suwela
openalex +2 more sources
Two-Stage Learning to Rank for Information Retrieval
Current learning to rank approaches commonly focus on learning the best possible ranking function given a small fixed set of documents. This document set is often retrieved from the collection using a simple unsupervised bag-of-words method, e.g. BM25.
Van Dang +2 more
openaire +2 more sources
A Neural Autoencoder Approach for Document Ranking and Query Refinement in Pharmacogenomic Information Retrieval [PDF]
Jonas Pfeiffer +3 more
openalex +1 more source
Translation-based Ranking in Cross-Language Information Retrieval
Today's amount of user-generated, multilingual textual data generates the necessity for information processing systems, where cross-linguality, i.e the ability to work on more than one language, is fully integrated into the underlying models. In the particular context of Information Retrieval (IR), this amounts to rank and retrieve relevant ...
openaire +2 more sources
Content And User Click Based Page Ranking For Improved Web Information Retrieval
Dhiliphan Rajkumar.T
openalex +2 more sources
Document Re-ranking by Generality in Bio-medical Information Retrieval
Xin Yan, Xue Li, Dawei Song
openalex +2 more sources

