Internet User Consumption Behavior Based on Big Data

Abstract

With the vigorous development of the Internet economy, competition in the domestic market has become increasingly fierce. This research mainly discusses the consumption behavior of Internet users based on big data. Text preprocessing is required first after the target text has been obtained. Clean and delete content that is of no value or limited value in the text. First, define the Request network connection request. Secondly, write a function module for obtaining multiple commodity IDs. Traverse the full text to obtain the target content, which is often used to retrieve and replace the target text. Finally, the crawling of individual product information. According to the research product goals, big data technology is used to obtain data on two dimensions of product sales information and user experience information. Store the product sales specification text and product review text as divergent texts for the next stage of data cleaning to predict user consumption behavior. The function of the product, in the price range of 100-200 yuan, the user’s attention is 27%. This research helps companies formulate precise marketing strategies.