Filosax: A Dataset of Annotated Jazz Saxophone Recordings [PDF]
, 2021 The Filosax dataset is a large collection of specially commissioned recordings of jazz saxophonists playing with commercially available backing tracks.
22nd International Society for Music Information Retrieval Conference +2 more
core
Explainable Information Retrieval: A Survey [PDF]
arXiv, 2022 Explainable information retrieval is an emerging research area aiming to make transparent and trustworthy information retrieval systems. Given the increasing use of complex machine learning models in search systems, explainability is essential in building and auditing responsible information retrieval models.
arxiv
The Lucene for Information Access and Retrieval Research (LIARR) Workshop at SIGIR 2017 [PDF]
, 2017 As an empirical discipline, information access and retrieval research requires substantial software infrastructure to index and search large collections.
Azzopardi, Leif +8 more
core +1 more source
A Study on the Efficiency and Generalization of Light Hybrid Retrievers [PDF]
arXiv, 2022 Hybrid retrievers can take advantage of both sparse and dense retrievers. Previous hybrid retrievers leverage indexing-heavy dense retrievers. In this work, we study "Is it possible to reduce the indexing memory of hybrid retrievers without sacrificing performance"?
arxiv
Priors for Diversity and Novelty on Neural Recommender Systems
Proceedings, 2019 PRIN is a neural based recommendation method that allows the incorporation of item prior information into the recommendation process. In this work we study how the system behaves in terms of novelty and diversity under different configurations of item ...
Alfonso Landin +3 more
doaj +1 more source
Predicting Efficiency/Effectiveness Trade-offs for Dense vs. Sparse Retrieval Strategy Selection [PDF]
arXiv, 2021 Over the last few years, contextualized pre-trained transformer models such as BERT have provided substantial improvements on information retrieval tasks. Recent approaches based on pre-trained transformer models such as BERT, fine-tune dense low-dimensional contextualized representations of queries and documents in embedding space.
arxiv
Building High-Quality Datasets for Information Retrieval Evaluation at a Reduced Cost
Proceedings, 2019 Information Retrieval is not any more exclusively about document ranking. Continuously new tasks are proposed on this and sibling fields. With this proliferation of tasks, it becomes crucial to have a cheap way of constructing test collections to ...
David Otero +3 more
doaj +1 more source
Semi-supervised incremental learning with few examples for discovering medical association rules
BMC Medical Informatics and Decision Making, 2022 Background Association Rules are one of the main ways to represent structural patterns underlying raw data. They represent dependencies between sets of observations contained in the data. The associations established by these rules are very useful in the
Ricardo Sánchez-de-Madariaga +3 more
doaj +1 more source
Hybrid Profiling in Information Retrieval [PDF]
, 2013 -One of the main challenges in search engine quality of service is how to satisfy the needs and the interests of individual users. This raises the fundamental issue of how to identify and select the information that is relevant to a specific user.
Anane, Rachid +2 more
core +1 more source
The Audio Degradation Toolbox and its Application to Robustness Evaluation [PDF]
, 2013 We introduce the Audio Degradation Toolbox (ADT) for the controlled degradation of audio signals, and propose its usage as a means of evaluating and comparing the robustness of audio processing algorithms.
Ewert, S +2 more
core