Research on Tourism Route Recommendation Strategy Based on Convolutional Neural Network and Collaborative Filtering Algorithm
With improving people’s living standards, tourism has become essential leisure and entertainment. At present, it has begun to shift from a quantity-oriented tourism method to a quality-oriented tourism method. It is difficult for passengers to choose the route that suits them from the numerous route...
Uložené v:
| Vydané v: | Security and communication networks Ročník 2022; s. 1 - 9 |
|---|---|
| Hlavný autor: | |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
London
Hindawi
07.05.2022
John Wiley & Sons, Inc |
| Predmet: | |
| ISSN: | 1939-0114, 1939-0122 |
| On-line prístup: | Získať plný text |
| Tagy: |
Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
|
| Abstract | With improving people’s living standards, tourism has become essential leisure and entertainment. At present, it has begun to shift from a quantity-oriented tourism method to a quality-oriented tourism method. It is difficult for passengers to choose the route that suits them from the numerous routes. Given the above problems, this study proposes a travel route recommendation algorithm that combines a convolutional neural network and collaborative filtering. The algorithm uses a convolutional neural network to extract the latent features in the customer and travel itinerary data and then uses the matrix factorization method based on collaborative filtering to perform score prediction. The experimental results show that the algorithm can meet the travel requirements of different customers. At the same time, the recommendation accuracy of the tourist route is improved, and technology and method are provided for realizing the personalized recommendation service of the tourist route. |
|---|---|
| AbstractList | With improving people’s living standards, tourism has become essential leisure and entertainment. At present, it has begun to shift from a quantity-oriented tourism method to a quality-oriented tourism method. It is difficult for passengers to choose the route that suits them from the numerous routes. Given the above problems, this study proposes a travel route recommendation algorithm that combines a convolutional neural network and collaborative filtering. The algorithm uses a convolutional neural network to extract the latent features in the customer and travel itinerary data and then uses the matrix factorization method based on collaborative filtering to perform score prediction. The experimental results show that the algorithm can meet the travel requirements of different customers. At the same time, the recommendation accuracy of the tourist route is improved, and technology and method are provided for realizing the personalized recommendation service of the tourist route. |
| Author | He, Shan |
| Author_xml | – sequence: 1 givenname: Shan orcidid: 0000-0003-2932-3842 surname: He fullname: He, Shan organization: Department of Foreign Languages and TourismHenan Institute of Economics and TradeZhengzhouHenan 450000Chinazzu.edu.cn |
| BookMark | eNp9kM1OwzAQhC1UJGjhxgNY4gihthM7yREq_qQKpFLOkeNsWkMSg-1QceDdcSjigASnWWm_We3MGI060wFCR5ScUcr5lBHGpongORfpDtqneZxHhDI2-plpsofGzj0RImiSJvvoYwEOpFVrbDq8NL3VrsUL03vAC1CmbaGrpNdh-eCt9LB6xxfSQTXgM9O9maYftrLBd9DbL_EbY5-x7KoANI0sTfDpN8BXuvFgdbfC583KWO3X7QHarWXj4PBbJ-jx6nI5u4nm99e3s_N5pOI49RHwtEwoizOZ8ioWvFQVl5DKGlKR52VMyiQrc15nBCRnjAnKQACHWsWZUhWJJ-h4e_fFmtcenC-eQtTwtSuYEImgGSUsUGxLKWucs1AXSvuv8CG6bgpKiqHmYqi5-K45mE5_mV6sbqV9_ws_2eJrHYrd6P_pT-v7jqs |
| CitedBy_id | crossref_primary_10_1016_j_ipm_2024_103970 crossref_primary_10_3390_su152316276 crossref_primary_10_1007_s10489_023_05244_6 crossref_primary_10_1155_2022_3922377 crossref_primary_10_1038_s41598_023_42862_z crossref_primary_10_1007_s13132_023_01334_5 crossref_primary_10_1155_2024_9897316 |
| Cites_doi | 10.1177/1354816618811558 10.1108/jhtt-11-2014-0067 10.1038/s42256-020-0180-7 10.1016/j.ipm.2019.102142 10.1016/j.ijpe.2015.09.039 10.1177/1029864916650719 10.1016/j.jbusres.2015.03.026 10.1016/j.tele.2015.08.014 10.1016/j.rser.2016.10.079 10.1609/aaai.v33i01.33015409 10.1108/DPRG-06-2019-0041 10.1177/2056305120940690 10.1177/0003122417728662 10.1007/s11257-019-09237-4 10.1109/tpami.2017.2695539 10.1016/j.ijforecast.2019.03.017 10.1007/s11365-019-00562-z 10.1145/3132847.3133083 |
| ContentType | Journal Article |
| Copyright | Copyright © 2022 Shan He. Copyright © 2022 Shan He. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 |
| Copyright_xml | – notice: Copyright © 2022 Shan He. – notice: Copyright © 2022 Shan He. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 |
| DBID | RHU RHW RHX AAYXX CITATION 7SC 7SP 8FD JQ2 L7M L~C L~D |
| DOI | 10.1155/2022/4659567 |
| DatabaseName | Hindawi Publishing Complete Hindawi Publishing Subscription Journals Hindawi Publishing Open Access CrossRef Computer and Information Systems Abstracts Electronics & Communications Abstracts Technology Research Database ProQuest Computer Science Collection Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional |
| DatabaseTitle | CrossRef Technology Research Database Computer and Information Systems Abstracts – Academic Electronics & Communications Abstracts ProQuest Computer Science Collection Computer and Information Systems Abstracts Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Professional |
| DatabaseTitleList | Technology Research Database CrossRef |
| Database_xml | – sequence: 1 dbid: RHX name: Hindawi Publishing Open Access url: http://www.hindawi.com/journals/ sourceTypes: Publisher |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| EISSN | 1939-0122 |
| Editor | Liu, Fang |
| Editor_xml | – sequence: 1 givenname: Fang surname: Liu fullname: Liu, Fang |
| EndPage | 9 |
| ExternalDocumentID | 10_1155_2022_4659567 |
| GrantInformation_xml | – fundername: Henan Institute of Economics and Trade |
| GroupedDBID | .4S .DC 05W 0R~ 123 1OC 3SF 4.4 52U 5DZ 66C 8-1 8UM AAESR AAFWJ AAJEY AAONW ACGFO ADBBV ADIZJ AENEX AFBPY AFKRA AJXKR ALMA_UNASSIGNED_HOLDINGS ARAPS ARCSS ATUGU AZVAB BCNDV BENPR BGLVJ BHBCM BNHUX BOGZA BRXPI CCPQU CS3 DR2 DU5 EBS EIS F1Z G-S GROUPED_DOAJ HCIFZ HZ~ IAO ICD ITC IX1 K7- LITHE MY. MY~ NNB O9- OIG OK1 P2P PIMPY RHU RHW RHX TH9 TUS W99 WBKPD XV2 24P AAMMB AAYXX ACCMX ADMLS AEFGJ AGXDD AIDQK AIDYY ALUQN CITATION H13 7SC 7SP 8FD JQ2 L7M L~C L~D |
| ID | FETCH-LOGICAL-c337t-e57b41238a75d365bcd5ae7afe7699b30b48b95f80ea5222612e6e5efc38ccd03 |
| IEDL.DBID | RHX |
| ISICitedReferencesCount | 12 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000797465500006&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1939-0114 |
| IngestDate | Fri Jul 25 20:53:07 EDT 2025 Sat Nov 29 02:59:38 EST 2025 Tue Nov 18 21:20:41 EST 2025 Sun Jun 02 18:53:17 EDT 2024 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Language | English |
| License | This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. https://creativecommons.org/licenses/by/4.0 |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c337t-e57b41238a75d365bcd5ae7afe7699b30b48b95f80ea5222612e6e5efc38ccd03 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ORCID | 0000-0003-2932-3842 |
| OpenAccessLink | https://dx.doi.org/10.1155/2022/4659567 |
| PQID | 2664618102 |
| PQPubID | 1046363 |
| PageCount | 9 |
| ParticipantIDs | proquest_journals_2664618102 crossref_citationtrail_10_1155_2022_4659567 crossref_primary_10_1155_2022_4659567 hindawi_primary_10_1155_2022_4659567 |
| PublicationCentury | 2000 |
| PublicationDate | 2022-05-07 |
| PublicationDateYYYYMMDD | 2022-05-07 |
| PublicationDate_xml | – month: 05 year: 2022 text: 2022-05-07 day: 07 |
| PublicationDecade | 2020 |
| PublicationPlace | London |
| PublicationPlace_xml | – name: London |
| PublicationTitle | Security and communication networks |
| PublicationYear | 2022 |
| Publisher | Hindawi John Wiley & Sons, Inc |
| Publisher_xml | – name: Hindawi – name: John Wiley & Sons, Inc |
| References | 11 12 13 14 15 16 17 R. Villegas (10) 19 Z. Huang (18) 2015 1 2 J. P. Simon (4) 2019; 21 3 5 6 7 8 9 D. Liang (21) 20 |
| References_xml | – ident: 9 doi: 10.1177/1354816618811558 – ident: 2 doi: 10.1108/jhtt-11-2014-0067 – ident: 11 doi: 10.1038/s42256-020-0180-7 – ident: 19 doi: 10.1016/j.ipm.2019.102142 – ident: 14 doi: 10.1016/j.ijpe.2015.09.039 – ident: 1 doi: 10.1177/1029864916650719 – ident: 13 doi: 10.1016/j.jbusres.2015.03.026 – ident: 6 doi: 10.1016/j.tele.2015.08.014 – ident: 12 doi: 10.1016/j.rser.2016.10.079 – ident: 16 doi: 10.1609/aaai.v33i01.33015409 – volume: 21 year: 2019 ident: 4 article-title: New players in the music industry: lifeboats or killer whales? The role of streaming platforms publication-title: Digital Policy, Regulation and Governance doi: 10.1108/DPRG-06-2019-0041 – ident: 3 doi: 10.1177/2056305120940690 – ident: 8 doi: 10.1177/0003122417728662 – ident: 7 doi: 10.1007/s11257-019-09237-4 – ident: 17 doi: 10.1109/tpami.2017.2695539 – ident: 15 doi: 10.1016/j.ijforecast.2019.03.017 – start-page: 3560 ident: 10 article-title: Learning to Generate Long-Term Future via Hierarchical prediction – year: 2015 ident: 18 article-title: Bidirectional LSTM-CRF models for sequence tagging – ident: 5 doi: 10.1007/s11365-019-00562-z – ident: 20 doi: 10.1145/3132847.3133083 – start-page: 59 ident: 21 article-title: Factorization meets the item embedding: regularizing matrix factorization with item co-occurrence |
| SSID | ssj0061474 |
| Score | 2.325026 |
| Snippet | With improving people’s living standards, tourism has become essential leisure and entertainment. At present, it has begun to shift from a quantity-oriented... |
| SourceID | proquest crossref hindawi |
| SourceType | Aggregation Database Enrichment Source Index Database Publisher |
| StartPage | 1 |
| SubjectTerms | Algorithms Artificial neural networks Collaboration Customers Decomposition Feature extraction Filtration Information overload Neural networks Ratings & rankings Recommender systems Social networks Tourism Travel |
| Title | Research on Tourism Route Recommendation Strategy Based on Convolutional Neural Network and Collaborative Filtering Algorithm |
| URI | https://dx.doi.org/10.1155/2022/4659567 https://www.proquest.com/docview/2664618102 |
| Volume | 2022 |
| WOSCitedRecordID | wos000797465500006&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVWIB databaseName: Wiley Online Library Open Access customDbUrl: eissn: 1939-0122 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0061474 issn: 1939-0114 databaseCode: 24P dateStart: 20170101 isFulltext: true titleUrlDefault: https://authorservices.wiley.com/open-science/open-access/browse-journals.html providerName: Wiley-Blackwell |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1bS8MwFA5uKOiDeMXplDzMJymubdIkj3M49jSGKOyt5HLqBlsn25z44H836VJvQ_SpBE4a6Hd6LuTjOwg1bG_DFDUiEJkwAREqDLiMRMAEJFpG0tb4WTFsgvV6fDAQfS-SNF-_wrfZzrXn0TVxuncJq6AKp465ddcdlAHXJhjmL48d9SckJb_9x95vmWdr6Frel9FaCC7ySmcP7fqCELdWCO6jDcgP0M4XmcBD9FbS4_A0x172DzsqD2DXPU4m4CcjYa81-4pvbHIyzrw9zZfeu-wpToqjeBTcbyxzg9ufjrAE3Bm523N7Km6NH6ez0WI4OUIPndv7djfwYxMCHcdsEQBlitiExCWjJk6o0oZKYDIDlgih4qYiXAma8SZIW305DTFIgEKmY661acbHqJpPczhBOLQIch5CnMiQZAaUAWEXmVZE2ehEa-iq_KSp9pribrTFOC16C0pTB0DqAaihyw_rp5WWxi92DY_OH2b1ErrU_3jz1NYbJLFVSzM6_d9bztC2WxYcRlZH1cXsGc7Rpl4uRvPZBapEpH9RuNs7LLPOUw |
| linkProvider | Hindawi Publishing |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Research+on+Tourism+Route+Recommendation+Strategy+Based+on+Convolutional+Neural+Network+and+Collaborative+Filtering+Algorithm&rft.jtitle=Security+and+communication+networks&rft.au=He%2C+Shan&rft.date=2022-05-07&rft.issn=1939-0114&rft.eissn=1939-0122&rft.volume=2022&rft.spage=1&rft.epage=9&rft_id=info:doi/10.1155%2F2022%2F4659567&rft.externalDBID=n%2Fa&rft.externalDocID=10_1155_2022_4659567 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1939-0114&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1939-0114&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1939-0114&client=summon |