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<timestamp>20230519062906237</timestamp>
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<journal_metadata>   <full_title>International Journal of Innovative Technology and Exploring Engineering</full_title>   <abbrev_title>IJITEE</abbrev_title>   <issn media_type='electronic'>22783075</issn>   <doi_data>     <doi>10.35940/ijitee</doi>     <resource>https://www.ijitee.org/</resource>   </doi_data> </journal_metadata> <journal_issue>  <publication_date media_type='online'>     <month>05</month>     <day>30</day>     <year>2023</year>   </publication_date>   <journal_volume>     <volume>12</volume>   </journal_volume>   <issue>6</issue> </journal_issue><!-- ============== --> <journal_article publication_type='full_text'>   <titles>     <title>Machine Learning Based Product Comparison for E-Commerce Websites</title>   </titles>   <contributors>      <organization sequence='first' contributor_role='author'>Research Supervisor, Department of Computer Science and Engineering, Kalaignar Karunanidhi Institute of Technology, Coimbatore (Tamil Nadu), India.</organization>    <person_name sequence='first' contributor_role='author'>      <given_name>Mahalakshmi</given_name>      <surname>K</surname>      <ORCID>https://orcid.org/0000-0003-3627-6220</ORCID>    </person_name>    <person_name sequence='additional' contributor_role='author'>       <given_name>Prof. Keerthika</given_name>       <surname>R</surname>     </person_name>     <organization sequence='additional' contributor_role='author'>Department of Computer Science and Engineering, Kalaignar Karunanidhi Institute of Technology, Coimbatore (Tamil Nadu), India.</organization>     <person_name sequence='additional' contributor_role='author'>       <given_name>Sruthi</given_name>       <surname>R</surname>       <ORCID>https://orcid.org/0009-0001-4651-765X</ORCID>     </person_name>     <organization sequence='additional' contributor_role='author'>Student, Department of Computer Science and Engineering, Kalaignar Karunanidhi Institute of Technology, Coimbatore (Tamil Nadu), India.</organization>   </contributors>    <jats:abstract xml:lang='en'>         <jats:p>Online shopping through e-commerce has gained widespread popularity among consumers, revolutionizing the operations of businesses in the global market. This paper examines the benefits of e-commerce, such as its convenience and the ease of comparing prices and products, as well as the difficulty customers may encounter when selecting the optimal product. To overcome this difficulty, the paper suggests a real-time online consumer behavior prediction system that anticipates a visitor's purchasing intent using session and visitor data and assesses the effectiveness of Continuous Learning with the Naive Bayes strategy. The article also focuses on developing a recommendation system that strikes a balance between increasing precision and safeguarding users' privacy, utilizing the Prize dataset to assess the system's accuracy. Additionally, the paper delves into the domain of opinion mining, outlining its objectives and responsibilities, such as anticipating sentiment, summarizing aspect-based sentiment, and predicting the helpfulness of online feedback and reviews.</jats:p>     </jats:abstract>  <publication_date media_type='online'>     <month>05</month>     <day>30</day>     <year>2023</year>   </publication_date>   <pages>     <first_page>38</first_page>     <last_page>43</last_page>   </pages>   <crossmark>     <crossmark_version>CC BY-NC-ND 4.0</crossmark_version>     <crossmark_policy>10.35940/BEIESP.CrossMarkPolicy</crossmark_policy>     <crossmark_domains>       <crossmark_domain>          <domain>www.ijitee.org</domain>       </crossmark_domain>     </crossmark_domains>     <crossmark_domain_exclusive>true</crossmark_domain_exclusive>     <custom_metadata>       <assertion explanation='Funding' group_label='Funding' group_name='Funding' name='Declaration' order='0'>No, I did not receive.</assertion>       <assertion explanation='Conflicts of Interest' group_label='Conflicts of Interest' group_name='Conflicts-of-Interest' name='Declaration' order='1'>No conflicts of interest to the best of our knowledge.</assertion>       <assertion explanation='Ethical Approval and Consent to Participate' group_label='Ethical Approval and Consent to Participate' group_name='Ethical-Approval-and-Consent-to-Participate' name='Declaration' order='2'>No, the article does not require ethical approval and consent to participate with evidence.</assertion>       <assertion explanation='Availability of Data and Material' group_label='Availability of Data and Material' group_name='Availability-of-Data-and-Material' name='Declaration' order='3'>Not relevant.</assertion>       <assertion explanation='Authors Contributions' group_label='Authors Contributions' group_name='Authors-Contributions' name='Declaration' order='4'>Mahalakshmi K developed the study's concept and design, carried out data collection and analysis, and composed the initial manuscript.  Keerthika R provided valuable input to the study design, contributed to data analysis and interpretation, and made significant revisions to the manuscript.  Sruthi R was involved in data collection and analysis, and provided critical feedback and edits to the manuscript. All authors have carefully reviewed and approved the final version of the manuscript.</assertion>     </custom_metadata>   </crossmark>   <doi_data>     <doi>10.35940/ijitee.F9561.0512623</doi>     <resource>https://www.ijitee.org/portfolio-item/F95610512623/</resource>   </doi_data> </journal_article>
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