The invention relates to an
artificial intelligence technology, and discloses a value-added service pushing method, which comprises the following steps: classifying user historical value-added service data according to the types of value-added services to obtain value-added service classification data, carrying out value-added
service provision frequency statistics on the value-added service classification data to obtain a user use matrix, and performing
label labeling
processing on the value-added service classification data to obtain user
label data, performing feature similarity calculation on the user
label data and the user use matrix by using a pre-constructed
feature selection algorithm to obtain a classification weight of the value-added service classification data, and obtaining a value-added service push result based on the classification weight. In addition, the invention also relates to a block chain technology, and the classification weight can be stored in a node of a block chain. The invention further provides a value-added service pushing device,
electronic equipment and a computer readable storage medium. According to the invention, the problem of low value-added service pushing accuracy and efficiency can be solved.