Continuous Time-Dependent kNN Join by Binary Sketches
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F18%3A00100951" target="_blank" >RIV/00216224:14330/18:00100951 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1145/3216122.3216159" target="_blank" >http://dx.doi.org/10.1145/3216122.3216159</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3216122.3216159" target="_blank" >10.1145/3216122.3216159</a>
Alternative languages
Result language
angličtina
Original language name
Continuous Time-Dependent kNN Join by Binary Sketches
Original language description
An important functionality of current social applications is real-time recommendation, which is responsible for suggesting relevant published data to the users based on their preferences. By representing the users and the published data in a metric space, each user can be recommended with their k nearest neighbors among the published data. We consider the scenario when the relevance of a published data item to a user decreases as the data gets older, i.e., a time-dependent distance function is applied. We define the problem as the continuous time-dependent kNN join and provide a solution to a broad range of time-dependent functions. In addition, we propose a binary sketch-based approximation technique used to speed up the join evaluation by replacing expensive metric distance computations with cheap Hamming distances.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA16-18889S" target="_blank" >GA16-18889S: Big Data Analytics for Unstructured Data</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
IDEAS 2018 : 22nd International Database Engineering & Applications Symposium, June 18-20, 2018, Villa San Giovanni, Italy
ISBN
9781450365277
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
64-73
Publisher name
ACM
Place of publication
New York
Event location
Villa San Giovanni, Italy
Event date
Jun 18, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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