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The video discusses the differences between AI conversational search and keyword search. Here are the key points:
- Query format: In keyword-based search, users input specific keywords or phrases into a search engine to retrieve relevant results. In AI conversational search, users can input queries in a more natural conversational language, similar to how they would ask a question in a conversation.
- Understanding intent: Keyword search relies on exact keyword matching and may not always understand the user's intent or context. AI conversational search leverages advanced NLP techniques to understand the user's intent and context better, and can provide more relevant and context-aware results.
- Interactivity and personalization: Traditional keyword search typically provides static search results based on the query and the search engine's algorithms. Conversational search systems can offer interactivity and personalization, engaging in a back-and-forth conversation with the user to clarify queries, provide recommendations, and offer tailored responses based on user history and preferences.
Transcript
In keyword-based search, users input specific keywords or phrases into a search engine to retrieve relevant results. The search engine matches these keywords with content on web pages.
In AI conversational search, users can input queries in a more natural, conversational language, similar to how they would ask a question in a conversation. The search engine uses natural language processing (NLP) to understand the user's intent and context.
The second difference is understanding intent. Keyword search relies on exact keyword matching and may not always understand the user's intent or context. It may generate results based on the presence of keywords, even if they don't fully capture what the user is looking for. AI conversational search leverages advanced NLP techniques to better understand the user's intent and context. It can analyze the meaning behind the query, consider synonyms, and provide more relevant and context-aware results.
A third difference is interactivity and personalization. Traditional keyword search typically provides static search results based on the query and the search engine's algorithms. It does not offer personalized responses or adapt to the user's preferences. Conversational search systems can offer interactivity and personalization. They can engage in a back-and-forth conversation with the user to clarify queries, provide recommendations, and offer tailored responses based on user history and preferences.
I hope this provided you with a helpful overview of the differences between keyword and AI search. In summary, the differences between keyword-based and conversational AI search are that keyword-based search relies on specific keywords or phrases, while AI conversational search uses natural language and understands user intent better. AI conversational search also offers a more interactive and personalized experience compared to traditional keyword search.