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<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:wfw="http://wellformedweb.org/CommentAPI/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:sy="http://purl.org/rss/1.0/modules/syndication/" xmlns:slash="http://purl.org/rss/1.0/modules/slash/" > <channel> <title></title> <atom:link href="https://insightsociety.org/feed/" rel="self" type="application/rss+xml" /> <link>https://insightsociety.org</link> <description>Insight Society</description> <lastBuildDate>Thu, 06 Mar 2025 16:23:12 +0000</lastBuildDate> <language>en-US</language> <sy:updatePeriod> hourly </sy:updatePeriod> <sy:updateFrequency> 1 </sy:updateFrequency> <generator>https://wordpress.org/?v=6.7.2</generator> <item> <title>Artificial Intelligence in The Tourism Industry: Current Trends and Future Outlook</title> <link>https://insightsociety.org/2025/03/06/artificial-intelligence-in-the-tourism-industry-current-trends-and-future-outlook/</link> <comments>https://insightsociety.org/2025/03/06/artificial-intelligence-in-the-tourism-industry-current-trends-and-future-outlook/#respond</comments> <dc:creator><![CDATA[yuhefizar]]></dc:creator> <pubDate>Thu, 06 Mar 2025 16:23:12 +0000</pubDate> <category><![CDATA[Uncategorized]]></category> <guid isPermaLink="false">https://insightsociety.org/?p=590</guid> <description><![CDATA[This article emphasizes the importance of artificial intelligence in the tourism sector. Various technologies are being integrated to enhance customer services. The world is making significant efforts to strengthen industrial competitiveness using big data and artificial intelligence technologies, and tourism is facing increasing demands for new strategic solutions through the digital transformation of the existing tourism industry using cutting-edge technologies. Artificial intelligence quickly addresses customer requirements by providing timely information on critical factors such as hotels, airplanes, cathedrals, general facilities, and natural resources. This information can include interactive messages, virtual tours, interactive booking processes, language translations, and global positioning system]]></description> <content:encoded><![CDATA[<p>This article emphasizes the importance of artificial intelligence in the tourism sector. Various technologies are being integrated to enhance customer services. The world is making significant efforts to strengthen industrial competitiveness using big data and artificial intelligence technologies, and tourism is facing increasing demands for new strategic solutions through the digital transformation of the existing tourism industry using cutting-edge technologies. Artificial intelligence quickly addresses customer requirements by providing timely information on critical factors such as hotels, airplanes, cathedrals, general facilities, and natural resources. This information can include interactive messages, virtual tours, interactive booking processes, language translations, and global positioning system technology. Artificial intelligence algorithms in the tourism industry help predict demand, revenue, and business trends. The tourism industry incorporates new technologies like virtual reality, chatbots, and language translation. Adopting artificial intelligence apps requires significant investments, including initial capital costs, maintenance, software updates, and staff training. Understanding the tourism and artificial intelligence industry will help build an artificial intelligence that will significantly transform the tourism industry in the future. The rise of artificial intelligence simplifies the process of making travel plans. Tourists used to decide their destinations and activities using pictures in a catalog or on the Internet. They have recently begun using artificial intelligence to find and tailor their specific requirements. Artificial intelligence is a valuable supplementary aspect to the future of the tourism industry. However, it cannot surpass the human touch, an essential determinant of experiential tourism.</p>]]></content:encoded> <wfw:commentRss>https://insightsociety.org/2025/03/06/artificial-intelligence-in-the-tourism-industry-current-trends-and-future-outlook/feed/</wfw:commentRss> <slash:comments>0</slash:comments> </item> <item> <title>Generative AI Recommender System in E-Commerce</title> <link>https://insightsociety.org/2025/03/06/generative-ai-recommender-system-in-e-commerce/</link> <comments>https://insightsociety.org/2025/03/06/generative-ai-recommender-system-in-e-commerce/#respond</comments> <dc:creator><![CDATA[yuhefizar]]></dc:creator> <pubDate>Thu, 06 Mar 2025 16:22:19 +0000</pubDate> <category><![CDATA[Uncategorized]]></category> <guid isPermaLink="false">https://insightsociety.org/?p=588</guid> <description><![CDATA[In today’s information-rich world, recommender systems are essential for helping consumers find relevant products and content. The development of efficient recommender systems is still a challenging endeavor even with their broad use. This research explores different approaches to building recommender systems, emphasizing the use of generative AI to overcome underlying difficulties. Conventional recommender systems, like collaborative filtering, struggle with problems like sparsity limitations and the cold start problem. This paper aims to provide a comprehensive overview of recommender system techniques and algorithms, identify the limitations of existing methods, and highlight open research questions and directions for future development. A thorough]]></description> <content:encoded><![CDATA[<p>In today’s information-rich world, recommender systems are essential for helping consumers find relevant products and content. The development of efficient recommender systems is still a challenging endeavor even with their broad use. This research explores different approaches to building recommender systems, emphasizing the use of generative AI to overcome underlying difficulties. Conventional recommender systems, like collaborative filtering, struggle with problems like sparsity limitations and the cold start problem. This paper aims to provide a comprehensive overview of recommender system techniques and algorithms, identify the limitations of existing methods, and highlight open research questions and directions for future development. A thorough and comprehensive literature analysis of recommender system algorithms is part of the process, ensuring the validity and reliability of the research. The Autoencoder technique—which has shown to be highly significant and effective—is used for the evaluation. The review will provide a detailed analysis of potential for improving research on recommender systems, while also thoroughly addressing the primary challenges and drawbacks of current methodologies. Furthermore, by providing insights into the usage of Generative AI—more especially, the Autoencoder technique— to improve recommender system accuracy. The study hopes to make a substantial contribution to the area. Through the identification and resolution of current methods’ shortcomings, particularly regarding the incorporation of Generative AI, the study endeavors to widen up the opportunity for recommendations that are more precise, varied, and focused on individuals. It is anticipated that the assessment process’s use of Autoencoder will highlight the usefulness and efficiency of the suggested strategy and highlight its significance in the continuous development of recommender systems. </p>]]></content:encoded> <wfw:commentRss>https://insightsociety.org/2025/03/06/generative-ai-recommender-system-in-e-commerce/feed/</wfw:commentRss> <slash:comments>0</slash:comments> </item> <item> <title>Important Notice: Unauthorized Website Impersonating IJASEIT</title> <link>https://insightsociety.org/2018/03/06/hello-world/</link> <comments>https://insightsociety.org/2018/03/06/hello-world/#comments</comments> <dc:creator><![CDATA[admin]]></dc:creator> <pubDate>Tue, 06 Mar 2018 05:29:07 +0000</pubDate> <category><![CDATA[Uncategorized]]></category> <guid isPermaLink="false">http://icaiti.org/?p=1</guid> <description><![CDATA[Important Notice: Unauthorized Website Impersonating IJASEIT The International Journal of Advanced Science, Engineering and Information Technology (IJASEIT) informs all authors, reviewers, and readers that an unauthorized website is fraudulently using our journal’s identity. Official IJASEIT Website The only legitimate website for IJASEIT is: https://ijaseit.insightsociety.org/index.php/ijaseit Fraudulent Website An unauthorized website has been identified at: ijaseit[dot]org This website is not affiliated with IJASEIT or its publisher, Insight Society. It does not have the authority to accept submissions, charge fees, or publish articles under the name of IJASEIT. Important Advisory for Authors, Reviewers, and Readers Do not submit manuscripts through the fraudulent website.]]></description> <content:encoded><![CDATA[<p>Important Notice: Unauthorized Website Impersonating IJASEIT The International Journal of Advanced Science, Engineering and Information Technology (IJASEIT) informs all authors, reviewers, and readers that an unauthorized website is fraudulently using our journal’s identity. Official IJASEIT Website The only legitimate website for IJASEIT is: https://ijaseit.insightsociety.org/index.php/ijaseit Fraudulent Website An unauthorized website has been identified at: ijaseit[dot]org This website is not affiliated with IJASEIT or its publisher, Insight Society. It does not have the authority to accept submissions, charge fees, or publish articles under the name of IJASEIT. Important Advisory for Authors, Reviewers, and Readers Do not submit manuscripts through the fraudulent website. Do not make any payments to unauthorized sources. Do not trust communications from email addresses associated with the unauthorized website. IJASEIT adheres to strict ethical publishing standards and best practices. We are taking necessary actions to report and address this fraudulent activity. For verification or further inquiries, please contact the editorial office at [insert official email]. International Journal of Advanced Science, Engineering and Information Technology (IJASEIT) Publisher: Insight Society Editor-in-Chief: Rahmat Hidayat, M.Sc.IT Official Website: https://ijaseit.insightsociety.org/index.php/ijaseit</p>]]></content:encoded> <wfw:commentRss>https://insightsociety.org/2018/03/06/hello-world/feed/</wfw:commentRss> <slash:comments>1</slash:comments> </item> </channel></rss> If you would like to create a banner that links to this page (i.e. this validation result), do the following:
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