Introduction The era of artificial intelligence (AI) is developing at an unprecedented speed. For example, the model launched in 2017 was able to generate videos based on text descriptions, which shocked the industry; the benchmark test released by researchers at Carnegie Mellon University greatly improved the performance of large models on . These technological innovations and breakthroughs demonstrate the potential in various fields. Among them, the search field is also showing a strong momentum of development. With the advancement of technology, market recognition and intensified industry competition, search will usher in more innovations and changes. So can search subvert traditional search engines? This article will explore the following four parts: The basic principles of search algorithms The application of search in daily life Comparison of search with traditional search engines How to enter the market I.
The basic principles of search algorithms Keyword search Keyword france whatsapp phone number search is the foundation of search engines Matching queries with items in the index through statistical techniques is similar to the index at the back of a book pointing to all the places where information is located. What is an end product manager? What is the difference between an end product manager and an end product manager? The end product manager in the end product manager means business. The end product manager must first understand the importance of this position. To design a product solution that is more suitable for the needs of this project. The end product manager in daily work View details> Although this approach works well for precise queries, it may encounter challenges in long-tail queries and concept searches.
Semantic search Semantic search involves understanding the meaning of words and phrases in search queries and returning results that are semantically relevant to the query. It uses natural language processing (NLP) technology to understand the meaning of words and phrases Find related concepts, synonyms, and other relevant information. Query processing In search, query processing is the step of analyzing user queries to understand their intent, scope, and constraints. This may include parsing queries into their components, semantic understanding of keywords and phrases. Retrieval and ranking Search algorithms usually involve retrieval and ranking steps, where retrieval is to find information related to the query and ranking is to rank this information based on relevance and other factors.
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