Construction of information search behavior based on data mining

With the increasing maturity of Web 2.0–related technologies and the expansion of applications, a large number of social network services have emerged at home and abroad. These network platforms have greatly enriched the lives of netizens and become an important platform for studying user information behavior. At the same time, the development of technologies such as global positioning system technology, search engine, and data mining has made users’ data in the mobile social network platform receive extensive attention. This paper constructs a model of information search behavior based on data mining technology in mobile socialized networks and tests it with empirical methods. The results show that the usefulness of information plays a mediating role in the path of information usability impact on information search behavior. Product interaction and human-computer interaction can significantly affect the information search behavior. Trust plays a mediating role in the interaction of virtual community interaction (product interaction, interpersonal interaction, and human-computer interaction) on information search behavior. Using data mining technology to mine user needs, mining relevant data in search and mining information utilization, can improve user information search efficiency and efficiency. What’s more, it can provide basis and support for users and website decision-making.