Results 11 to 20 of about 680,970 (356)
From Query-By-Keyword to Query-By-Example [PDF]
One key challenge in talent search is to translate complex criteria of a hiring position into a search query, while it is relatively easy for a searcher to list examples of suitable candidates for a given position. To improve search efficiency, we propose the next generation of talent search at LinkedIn, also referred to as Search By Ideal Candidates ...
Ha-Thuc, Viet +5 more
core +5 more sources
Query-by-Example with Acoustic Word Embeddings Using wav2vec Pretraining [PDF]
Query-by-Example is a popular keyword detection method in the absence of speech resources.It can build a keyword query system with excellent performance when there are few labeled voice resources and a lack of pronunciation dictionaries.In recent years ...
LI Zhao-qi, LI Ta
doaj +2 more sources
A QUERY BY EXAMPLE MUSIC RETRIEVAL ALGORITHM
This paper deals with the problem of Query by Example Music Retrieval (QEMR). Retrieving music pieces that are "similar" to a musical query is crucial when exploring very big music databases. The term "similarity" in this paper is equivalent, for instance, to the rules permitting a human subject to build a list of songs to listen to. While the Query by
Harb, Hadi, Chen, Liming
semanticscholar +5 more sources
In the last few years we have witnessed a trend to appeal to the non-professional user who has little or virtually no computer or mathematical background.
Moshé M. Zloof
semanticscholar +4 more sources
ALBAYZIN Query-by-example Spoken Term Detection 2016 evaluation [PDF]
Query-by-example Spoken Term Detection (QbE STD) aims to retrieve data from a speech repository given an acoustic (spoken) query containing the term of interest as the input.
Javier Tejedor +9 more
doaj +2 more sources
Query-by-Example On-Device Keyword Spotting [PDF]
A keyword spotting (KWS) system determines the existence of, usually predefined, keyword in a continuous speech stream. This paper presents a query-by-example on-device KWS system which is user-specific. The proposed system consists of two main steps: query enrollment and testing.
Kim, Byeonggeun +4 more
openaire +4 more sources
Query by Example: Semantic Traffic Scene Retrieval Using LLM-Based Scene Graph Representation [PDF]
In autonomous driving, retrieving a specific traffic scene in huge datasets is a significant challenge. Traditional scene retrieval methods struggle to cope with the semantic complexity and heterogeneity of traffic scenes and are unable to meet the ...
Yafu Tian +4 more
doaj +2 more sources
We describe a novel query-by-example (QBE) approach in music information retrieval that allows a user to customize query examples by directly modifying the volume of different instrument parts.
Goto Masataka +4 more
doaj +3 more sources
SPARQL Query Recommendations by Example [PDF]
In this demo paper, a SPARQL Query Recommendation Tool (called SQUIRE) based on query reformulation is presented. Based on three steps, Generalization, Specialization and Evaluation, SQUIRE implements the logic of reformulating a SPARQL query that is satisfiable w.r.t a source RDF dataset, into others that are satisfiable w.r.t a target RDF dataset. In
Allocca, Carlo +3 more
openaire +3 more sources
Search on speech from spoken queries: the Multi-domain International ALBAYZIN 2018 Query-by-Example Spoken Term Detection Evaluation [PDF]
The huge amount of information stored in audio and video repositories makes search on speech (SoS) a priority area nowadays. Within SoS, Query-by-Example Spoken Term Detection (QbE STD) aims to retrieve data from a speech repository given a spoken query.
Javier Tejedor +6 more
doaj +2 more sources

