Wider query coverage - the depth of the range allows you to cover more key queries, especially low-frequency ones.
Satisfying the needs of different audience segments - users looking for different products will find the right option if the assortment is wide. This reduces the likelihood of leaving the site and increases the chances of a repeat visit.
Search engines prefer sites with a full range of products — Google and Yandex consider pages with a large selection to be more useful to users. For example, a page with 50 options for plastic drainage systems venezuela email list will be rated as more valuable than a page with only 5 products.
See also the article: How to create a product card that sells and benefits customers?Artificial Intelligence and Machine Learning
For this area, it is important to have libraries for working with large amounts of data, parallel computing and neural networks.
Python is the most popular language due to its support for deep learning libraries such as TensorFlow, Keras, and PyTorch.
Lisp and Prolog are languages used primarily in scientific research in the field of AI. Lisp has a powerful data processing system, while Prolog is well suited for logic programming and problems related to rules and search.
Example: To develop a machine learning model that predicts trends in stock prices, Python allows you to quickly process the data and train the model using TensorFlow.
Depth of assortment
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