Abstract: 【Purpose/significance】The technological wave of generative AI has influenced the knowledge contribution behavior of on⁃ line communities, the emergence of cue-word-based interaction strategy-based knowledge. More and more generative AI platforms have also begun to build knowledge sharing communities in order to enhance the user interaction experience.【Method/process】Based on the trust perspective, this paper constructs a research model of the knowledge contribution behavior of the interaction strategy class from the aspects of technical trust to generative AI and institutional trust to generative AI platforms.【Result/conclusion】Users′ knowl⁃ edge contribution willingness significantly and positively influences knowledge contribution behavior. In terms of technical trust in generative AI, both human-like trust and functional trust significantly and positively affect knowledge contribution willingness, with human-like trust having a greater effect than functional trust. In terms of institutional trust in generative AI platforms, the perceived ef⁃ fectiveness of platform institutional mechanisms significantly contributes to the effect of human-like trust on knowledge contribution willingness, but significantly inhibits the effect of functional trust on knowledge contribution willingness.【Innovation/limitation】This paper enriches the theoretical foundation of interaction strategy-like knowledge contribution behavior and provides theoretical tools and practical references for the management of generative AI platforms.