The invention discloses a method for collecting service operation information in a
network information service system, which comprises the following steps: S1, a user terminal is provided with a local module, and an operation sequence buffer area stores recent operation as required and updates and clears abnormities according to first-in first-out; s2, arranging data in a buffer area, extracting features, cleaning anomalies, judging a behavior pattern by using
sequence pattern mining in combination with a threshold value and a
machine learning
algorithm, and updating the model regularly; s3, constructing an evaluation model for different behavior
modes, dynamically setting a weight by integrating
multiple factors, and performing regular re-evaluation adjustment; s4, scores are calculated according to behavior
modes and weights, and a
verification mechanism is set to be compared with historical data to ensure accuracy; and S5, comparing the
score with a threshold value to determine a collection
granularity strategy, increasing and decreasing information details, and ensuring high efficiency and stability of terminal resources. According to the method, information collection is accurately adjusted for user behaviors,
resource utilization, transmission and
server performance are improved,
personalization and stability are optimized, user experience is improved, and
network information service upgrading is facilitated.