Internet User Consumption Behavior Based on Big Data

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