<?xml version="1.0" encoding="utf-8"?>
<TEI xmlns="http://www.tei-c.org/ns/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:hal="http://hal.archives-ouvertes.fr/" xmlns:gml="http://www.opengis.net/gml/3.3/" xmlns:gmlce="http://www.opengis.net/gml/3.3/ce" version="1.1" xsi:schemaLocation="http://www.tei-c.org/ns/1.0 http://api.archives-ouvertes.fr/documents/aofr-sword.xsd">
  <teiHeader>
    <fileDesc>
      <titleStmt>
        <title>HAL TEI export of hal-03456985</title>
      </titleStmt>
      <publicationStmt>
        <distributor>CCSD</distributor>
        <availability status="restricted">
          <licence target="https://creativecommons.org/publicdomain/zero/1.0/">CC0 1.0 - Universal</licence>
        </availability>
        <date when="2026-05-16T16:25:04+02:00"/>
      </publicationStmt>
      <sourceDesc>
        <p part="N">HAL API Platform</p>
      </sourceDesc>
    </fileDesc>
  </teiHeader>
  <text>
    <body>
      <listBibl>
        <biblFull>
          <titleStmt>
            <title xml:lang="en">A Genetic Algorithm for Travel Itinerary Recommendation with Mandatory Points-of-Interest</title>
            <author role="aut">
              <persName>
                <forename type="first">Phatpicha</forename>
                <surname>Yochum</surname>
              </persName>
              <idno type="halauthorid">1631158-0</idno>
              <affiliation ref="#struct-469142"/>
            </author>
            <author role="aut">
              <persName>
                <forename type="first">Liang</forename>
                <surname>Chang</surname>
              </persName>
              <email type="md5">d3c2f6da3adbf308b8b1c90cccb34e1b</email>
              <email type="domain">guet.edu.cn</email>
              <idno type="idhal" notation="numeric">990787</idno>
              <idno type="halauthorid" notation="string">857091-990787</idno>
              <affiliation ref="#struct-469142"/>
            </author>
            <author role="aut">
              <persName>
                <forename type="first">Tianlong</forename>
                <surname>Gu</surname>
              </persName>
              <idno type="halauthorid">857092-0</idno>
              <affiliation ref="#struct-469142"/>
            </author>
            <author role="aut">
              <persName>
                <forename type="first">Manli</forename>
                <surname>Zhu</surname>
              </persName>
              <idno type="halauthorid">1062197-0</idno>
              <affiliation ref="#struct-469142"/>
            </author>
            <author role="aut">
              <persName>
                <forename type="first">Hongliang</forename>
                <surname>Chen</surname>
              </persName>
              <idno type="halauthorid">2356526-0</idno>
              <affiliation ref="#struct-469142"/>
            </author>
            <editor role="depositor">
              <persName>
                <forename>Hal</forename>
                <surname>Ifip</surname>
              </persName>
              <email type="md5">2073ac78024b6e13f2714db96e9b1e63</email>
              <email type="domain">inria.fr</email>
            </editor>
          </titleStmt>
          <editionStmt>
            <edition n="v1" type="current">
              <date type="whenSubmitted">2021-11-30 12:34:18</date>
              <date type="whenModified">2021-11-30 14:16:39</date>
              <date type="whenReleased">2021-11-30 14:16:39</date>
              <date type="whenProduced">2020-07-03</date>
              <date type="whenEndEmbargoed">2023-01-01</date>
              <ref type="file" target="https://inria.hal.science/hal-03456985v1/document">
                <date notBefore="2023-01-01"/>
              </ref>
              <ref type="file" subtype="author" n="1" target="https://inria.hal.science/hal-03456985v1/file/498234_1_En_13_Chapter.pdf" id="file-3456985-3031287">
                <date notBefore="2023-01-01"/>
              </ref>
            </edition>
            <respStmt>
              <resp>contributor</resp>
              <name key="200187">
                <persName>
                  <forename>Hal</forename>
                  <surname>Ifip</surname>
                </persName>
                <email type="md5">2073ac78024b6e13f2714db96e9b1e63</email>
                <email type="domain">inria.fr</email>
              </name>
            </respStmt>
          </editionStmt>
          <publicationStmt>
            <distributor>CCSD</distributor>
            <idno type="halId">hal-03456985</idno>
            <idno type="halUri">https://inria.hal.science/hal-03456985</idno>
            <idno type="halBibtex">yochum:hal-03456985</idno>
            <idno type="halRefHtml">&lt;i&gt;11th International Conference on Intelligent Information Processing (IIP)&lt;/i&gt;, Jul 2020, Hangzhou, China. pp.133-145, &lt;a target="_blank" href="https://dx.doi.org/10.1007/978-3-030-46931-3_13"&gt;&amp;#x27E8;10.1007/978-3-030-46931-3_13&amp;#x27E9;&lt;/a&gt;</idno>
            <idno type="halRef">11th International Conference on Intelligent Information Processing (IIP), Jul 2020, Hangzhou, China. pp.133-145, &amp;#x27E8;10.1007/978-3-030-46931-3_13&amp;#x27E9;</idno>
            <availability status="restricted">
              <licence target="https://creativecommons.org/licenses/by/4.0/">CC BY 4.0 - Attribution<ref corresp="#file-3456985-3031287"/></licence>
            </availability>
          </publicationStmt>
          <seriesStmt>
            <idno type="stamp" n="IFIP">IFIP - International Federation for Information Processing</idno>
            <idno type="stamp" n="IFIP-AICT" corresp="IFIP">IFIP Advances in Information and Communication Technology</idno>
            <idno type="stamp" n="IFIP-TC" corresp="IFIP">IFIP Technical Committees </idno>
            <idno type="stamp" n="IFIP-TC12" corresp="IFIP-TC">TC12 - Artificial Intelligence</idno>
            <idno type="stamp" n="IFIP-IIP" corresp="IFIP-AICT">IFIP-IIP</idno>
            <idno type="stamp" n="IFIP-AICT-581" corresp="IFIP-AICT">Intelligent Information Processing X</idno>
          </seriesStmt>
          <notesStmt>
            <note type="commentary">Part 3: Recommendation System</note>
            <note type="audience" n="2">International</note>
            <note type="invited" n="0">No</note>
            <note type="popular" n="0">No</note>
            <note type="peer" n="1">Yes</note>
            <note type="proceedings" n="1">Yes</note>
          </notesStmt>
          <sourceDesc>
            <biblStruct>
              <analytic>
                <title xml:lang="en">A Genetic Algorithm for Travel Itinerary Recommendation with Mandatory Points-of-Interest</title>
                <author role="aut">
                  <persName>
                    <forename type="first">Phatpicha</forename>
                    <surname>Yochum</surname>
                  </persName>
                  <idno type="halauthorid">1631158-0</idno>
                  <affiliation ref="#struct-469142"/>
                </author>
                <author role="aut">
                  <persName>
                    <forename type="first">Liang</forename>
                    <surname>Chang</surname>
                  </persName>
                  <email type="md5">d3c2f6da3adbf308b8b1c90cccb34e1b</email>
                  <email type="domain">guet.edu.cn</email>
                  <idno type="idhal" notation="numeric">990787</idno>
                  <idno type="halauthorid" notation="string">857091-990787</idno>
                  <affiliation ref="#struct-469142"/>
                </author>
                <author role="aut">
                  <persName>
                    <forename type="first">Tianlong</forename>
                    <surname>Gu</surname>
                  </persName>
                  <idno type="halauthorid">857092-0</idno>
                  <affiliation ref="#struct-469142"/>
                </author>
                <author role="aut">
                  <persName>
                    <forename type="first">Manli</forename>
                    <surname>Zhu</surname>
                  </persName>
                  <idno type="halauthorid">1062197-0</idno>
                  <affiliation ref="#struct-469142"/>
                </author>
                <author role="aut">
                  <persName>
                    <forename type="first">Hongliang</forename>
                    <surname>Chen</surname>
                  </persName>
                  <idno type="halauthorid">2356526-0</idno>
                  <affiliation ref="#struct-469142"/>
                </author>
              </analytic>
              <monogr>
                <title level="m">IFIP Advances in Information and Communication Technology</title>
                <meeting>
                  <title>11th International Conference on Intelligent Information Processing (IIP)</title>
                  <date type="start">2020-07-03</date>
                  <date type="end">2020-07-06</date>
                  <settlement>Hangzhou</settlement>
                  <country key="CN">China</country>
                </meeting>
                <editor>Zhongzhi Shi</editor>
                <editor>Sunil Vadera</editor>
                <editor>Elizabeth Chang</editor>
                <imprint>
                  <publisher>Springer International Publishing</publisher>
                  <biblScope unit="serie">Intelligent Information Processing X</biblScope>
                  <biblScope unit="volume">AICT-581</biblScope>
                  <biblScope unit="pp">133-145</biblScope>
                  <date type="datePub">2020</date>
                </imprint>
              </monogr>
              <idno type="doi">10.1007/978-3-030-46931-3_13</idno>
            </biblStruct>
          </sourceDesc>
          <profileDesc>
            <langUsage>
              <language ident="en">English</language>
            </langUsage>
            <textClass>
              <keywords scheme="author">
                <term xml:lang="en">Location recommendations</term>
                <term xml:lang="en">Recommendation systems</term>
                <term xml:lang="en">Itinerary recommendations</term>
                <term xml:lang="en">Travel recommendations</term>
              </keywords>
              <classCode scheme="halDomain" n="info">Computer Science [cs]</classCode>
              <classCode scheme="halTypology" n="COMM">Conference papers</classCode>
              <classCode scheme="halOldTypology" n="COMM">Conference papers</classCode>
              <classCode scheme="halTreeTypology" n="COMM">Conference papers</classCode>
            </textClass>
            <abstract xml:lang="en">
              <p>Traveling as a very popular leisure activity enjoyed by many people all over the world. Typically, people would visit the POIs that are popular or special in a city and also have desired starting POIs (e.g., POIs that are close to their hotels) and destination POIs (e.g., POIs that are near train stations or airports). However, travelers often have limited travel time and are also unfamiliar with the wide range of Points-of-Interest (POIs) in a city, so that the itinerary planning is time-consuming and challenging. In this paper, we view this kind of itinerary planning as MandatoryTour problem, which is tourists have to construct an itinerary comprising a series of POIs of a city and including as many popular or special POIs as possible within their travel time budget. We term the most popular and special POIs as mandatory POIs in our paper. For solving the presented MandatoryTour problem, we propose a genetic algorithm GAM. We compare our approach against several baselines GA, MaxM, and GreedyM by using real-world datasets from the Yahoo Flickr Creative Commons 100 Million Dataset (YFCC100M), which include POI visits of seven touristic cities. The experimental results show that GAM achieves better recommendation performance in terms of the mandatory POIs, POIs visited, time budget (travel time and visit duration), and profit (POI popularity).</p>
            </abstract>
            <particDesc>
              <org type="consortium">TC 12</org>
            </particDesc>
          </profileDesc>
        </biblFull>
      </listBibl>
    </body>
    <back>
      <listOrg type="structures">
        <org type="institution" xml:id="struct-469142" status="VALID">
          <orgName>Guilin University of Electronic Technology</orgName>
          <date type="start">2016-10-21</date>
          <desc>
            <address>
              <country key="CN"/>
            </address>
          </desc>
        </org>
      </listOrg>
    </back>
  </text>
</TEI>