Using an adapted evaluation protocol, we study in this paper different suggestion approaches. The results show that the performance are changing for different ...
ABSTRACT. The problems of comparing search support tool in interac- tive information retrieval (IIR) and of selecting the right one.
This paper uses a learning-to-rank approach to select query suggestions, based on several types of features including a query performance prediction, ...
Missing: composition | Show results with:composition
In this paper, we propose an adaptive query generation and refinement pipeline for SLR search that uses reinforcement learning to learn the optimal ...
Missing: composition | Show results with:composition
This paper describes an adaptive search suggestion system based on case{based reasoning techniques, and details an evaluation of its usefulness in helping ...
Feb 22, 2018 · Specifically, we focus on the first step of a two-stage pipeline approach, which is dedicated to the generation of query suggestion candidates.
Missing: adaptive | Show results with:adaptive
Nov 22, 2023 · Existing approaches perform k-NN search with cross-encoders by approximating the CE similarity with a vector embedding space fit either with ...
Abstract: Adequate query formulation for web search is a very important prerequisite for successful retrieval of desired results. One productive way to improve ...
Aug 12, 2012 · In this paper, we examine the impact of query suggestion on queries of different degrees of difficulty. It turns out that query suggestion is ...
Missing: step composition
Nov 8, 2023 · It explores the adaptability of the proposed process across various research methodologies, including constructivist methodologies, positivist ...