Dataset Open Access

Japanese Trend Queries and Its' Web Trends

Yoshida, Mitsuo


DataCite XML Export

<?xml version='1.0' encoding='utf-8'?>
<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-3" xsi:schemaLocation="http://datacite.org/schema/kernel-3 http://schema.datacite.org/meta/kernel-3/metadata.xsd">
  <identifier identifierType="DOI">10.5281/zenodo.45056</identifier>
  <creators>
    <creator>
      <creatorName>Yoshida, Mitsuo</creatorName>
      <affiliation>Toyohashi University of Technology</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Japanese Trend Queries And Its' Web Trends</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2016</publicationYear>
  <subjects>
    <subject>Trend Query</subject>
    <subject>Search Engine</subject>
    <subject>Frequency Analysis</subject>
    <subject>Trend Analysis</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2016-03-01</date>
  </dates>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/45056</alternateIdentifier>
  </alternateIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/publicdomain/zero/1.0/">Creative Commons Zero - CC0 1.0</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;&lt;strong&gt;Abstract&lt;/strong&gt; (our paper)&lt;/p&gt;

&lt;p&gt;Many researchers work on studies for discovering trend keywords and queries on the web, i.e., search frequency and social media. Moreover, studies on trend query classifications are being conducted. However, the behavior of trend queries for various web resources is unclear. In this study, we investigate how trend queries appear in different resources on the web. We clarify the following. (1) Most trend queries are not registered with online dictionary services. (2) The trend converges in approximately two days. (3) Social media websites (such as Twitter) are responsive to trend queries.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Data&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Publication&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;This data set was created for our study. If you make use of this data set, please cite:&lt;br /&gt;
Mitsuo Yoshida, Yuki Arase. Trend Query Analysis on Heterogeneous Web Resources. &lt;em&gt;IPSJ Transactions on Databases (in Japanese)&lt;/em&gt;. vol.9, no.1, pp.20-30, 2016.&lt;/p&gt;</description>
    <description descriptionType="Other">{"references": ["Mitsuo Yoshida, Yuki Arase. Trend Query Analysis on Heterogeneous Web Resources. IPSJ Transactions on Databases (in Japanese). vol.9, no.1, pp.20-30, 2016."]}</description>
  </descriptions>
</resource>
61
5
views
downloads
All versions This version
Views 6161
Downloads 55
Data volume 50.3 MB50.3 MB
Unique views 6161
Unique downloads 55

Share

Cite as