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Research on intelligent recommendation strategy of activity types based on visitor insights--take Zhujiajiao ancient town as an example

: As an effective path for the integration of culture and tourism, digital cultural tourism is an exploratory thinking to promote the transformation of local tourism. With the continuous deepening of digital applications such as AI and AR, many excellent intelligent navigation solutions have been applied to the tourism field, and the analysis of data related to tourism preference insights has also made great progress [1] . But research into smart recommendation schemes for activity types still faces a range of problems. Based on the insight of tourist behavior preferences in Zhujiajiao and the surrounding cultural tourism towns, this study explores the possibility of AI technology interactive scenes from the perspective of emotions and social situations for the tour of activity types, so as to realize more convenient and accurate intelligent recommendation of human-computer interaction and promote the overall digital and intelligent transformation of scenic spots.