{"id":22085,"date":"2025-03-14T18:30:00","date_gmt":"2025-03-14T16:30:00","guid":{"rendered":"https:\/\/forklog.com\/en\/googles-gemini-chatbot-learns-to-analyze-search-history\/"},"modified":"2025-03-14T18:30:00","modified_gmt":"2025-03-14T16:30:00","slug":"googles-gemini-chatbot-learns-to-analyze-search-history","status":"publish","type":"post","link":"https:\/\/forklog.com\/en\/googles-gemini-chatbot-learns-to-analyze-search-history\/","title":{"rendered":"Google&#8217;s Gemini Chatbot Learns to Analyze Search History"},"content":{"rendered":"<p>Google has <a href=\"https:\/\/blog.google\/products\/gemini\/gemini-personalization\/\">trained<\/a> its AI assistant Gemini to analyze and consider a user&#8217;s search history to provide more relevant responses.<\/p>\n<p>The feature operates on the experimental &#8220;thinking&#8221; model <a href=\"https:\/\/forklog.com\/en\/news\/google-unveils-advanced-ai-model-gemini-2-0-flash-thinking\">Gemini 2.0 Flash Thinking<\/a>. It references search results only when deemed &#8220;useful.&#8221; For instance, when choosing a restaurant, the chatbot will refer to recent food-related search queries to provide an answer.<\/p>\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/lh7-qw.googleusercontent.com\/docsz\/AD_4nXdQW9Vc56koSB6MlHLm8H-whn6c_5mQLoZIIEcS_SI4p9BY8pODm12XqCQIZvJSjvCvD8ozYTYbaCPFsMkf6-44LEhIc-BkJiXIhp0cIX-MwnlMz5qhZ32pLaNWhiSUe7b_zGqF7w?key=3Omr0tLlpZ7ABNhYISPuT3oL\" alt=\"Google's Gemini Chatbot Learns to Analyze Search History\"\/><figcaption class=\"wp-element-caption\">Activating the new tool is optional. Source: Google.<\/figcaption><\/figure>\n<p>This new solution is part of a broader push towards personalization by the corporation. In the future, Gemini will be connected to YouTube, Google Photos, and other company applications. This will enable the chatbot to &#8220;provide more personalized insights based on a broad understanding of user actions and preferences.&#8221;<\/p>\n<p>Subscribers to Gemini and Gemini Advanced can enable search history analysis. The AI displays the personalized information it used.<\/p>\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/lh7-qw.googleusercontent.com\/docsz\/AD_4nXfragcHVB1K_VjQkZu-MBJhZRCGSWgbQ4E5ERJtU1H7SjIAYOgabB5g3FWJ7PEbjwDeAkWzAwC0n6zN00_Tg-28-WOzWcCclb5M87s9pI1RTVUqDhcRKd89RCPcsCs6jhUKqboQ?key=3Omr0tLlpZ7ABNhYISPuT3oL\" alt=\"Google's Gemini Chatbot Learns to Analyze Search History\"\/><figcaption class=\"wp-element-caption\">Gemini&#8217;s response considering search queries. Source: Google.<\/figcaption><\/figure>\n<p>The tool is available in more than 40 languages in &#8220;most&#8221; countries.<\/p>\n<p>In March, Google <a href=\"https:\/\/forklog.com\/en\/news\/google-introduces-ai-mode-in-search-engine\">launched<\/a> an experimental AI Mode feature in its search engine, aimed at competing with Perplexity AI and OpenAI&#8217;s ChatGPT Search solutions.<\/p>\n<p>Earlier, the corporation <a href=\"https:\/\/forklog.com\/en\/news\/google-to-introduce-video-query-support-in-gemini\">announced<\/a> the addition of the ability to ask questions using video and display content on the screen in real-time to the Gemini AI assistant.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Google has trained its AI assistant Gemini to analyze and consider a user&#8217;s search history to provide more relevant responses. The feature operates on the experimental &#8220;thinking&#8221; model Gemini 2.0 Flash Thinking. It references search results only when deemed &#8220;useful.&#8221; For instance, when choosing a restaurant, the chatbot will refer to recent food-related search queries [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":22084,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"select":"","news_style_id":"","cryptorium_level":"","_short_excerpt_text":"","creation_source":"","_metatest_mainpost_news_update":false,"footnotes":""},"categories":[3],"tags":[438,719,738],"class_list":["post-22085","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news-and-analysis","tag-artificial-intelligence","tag-gemini","tag-google"],"aioseo_notices":[],"amp_enabled":true,"views":"70","promo_type":"","layout_type":"","short_excerpt":"","is_update":"","_links":{"self":[{"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/posts\/22085","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/comments?post=22085"}],"version-history":[{"count":0,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/posts\/22085\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/media\/22084"}],"wp:attachment":[{"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/media?parent=22085"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/categories?post=22085"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/tags?post=22085"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}