⭐3.Background:

A description of the current state of search technology and the challenges it faces, including the limitations of traditional search engines in providing relevant, accurate and personalized results

The current state of search technology has come a long way since the early days of keyword-based search engines. With the rise of big data and advances in artificial intelligence, traditional search engines have become more sophisticated and capable of handling large amounts of information. However, despite these advances, classic search engines still face several challenges that limit their effectiveness.

One of the biggest challenges is the inability to provide relevant results for complex or specific queries. Traditional search engines rely on keyword matching to deliver results, but this approach can lead to irrelevant or low-quality results. This is particularly evident when searching for niche or specialized topics where the user's intent may not be accurately reflected in the keywords they use.

Another challenge is the lack of personalization in search results. Classic search engines deliver results based on broad-based algorithms that do not take into account an individual's specific preferences, interests, and search history. This can result in a generic and impersonal search experience, with users often having to sift through a large number of irrelevant results to find what they are looking for.

Additionally, the quality of search results can be impacted by the increasing amount of low-quality or spam content available on the internet. This makes it difficult for users to find reliable and trustworthy information, leading to a decline in trust in search engines and their results.

Overall, while traditional search engines have made significant progress in handling big data and delivering relevant results, they still face challenges in providing a personalized, accurate, and trustworthy search experience for users. The integration of neural networks into search systems has the potential to address these challenges and take search technology to the next level.