Off the Beaten Path: Let's Replace Term-Based Retrieval with k-NN Search
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F16%3A00088811" target="_blank" >RIV/00216224:14330/16:00088811 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1145/2983323.2983815" target="_blank" >http://dx.doi.org/10.1145/2983323.2983815</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/2983323.2983815" target="_blank" >10.1145/2983323.2983815</a>
Alternative languages
Result language
angličtina
Original language name
Off the Beaten Path: Let's Replace Term-Based Retrieval with k-NN Search
Original language description
Retrieval pipelines commonly rely on a term-based search to obtain candidate records, which are subsequently re-ranked. Some candidates are missed by this approach, e.g., due to a vocabulary mismatch. We address this issue by replacing the term-based search with a generic k-NN retrieval algorithm, where a similarity function can take into account subtle term associations. While an exact brute-force k-NN search using this similarity function is slow, we demonstrate that an approximate algorithm can be nearly two orders of magnitude faster at the expense of only a small loss in accuracy. A retrieval pipeline using an approximate k-NN search can be more effective and efficient than the term-based pipeline. This opens up new possibilities for designing effective retrieval pipelines. Our software (including data-generating code) and derivative data based on the Stack Overflow collection is available online.(1)
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GBP103%2F12%2FG084" target="_blank" >GBP103/12/G084: Center for Large Scale Multi-modal Data Interpretation</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
CIKM'16: PROCEEDINGS OF THE 2016 ACM CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT
ISBN
9781450340731
ISSN
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e-ISSN
—
Number of pages
10
Pages from-to
1099-1108
Publisher name
ASSOC COMPUTING MACHINERY
Place of publication
NEW YORK
Event location
IUPUI, Indianapolis, IN
Event date
Oct 24, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000390890800113