Research On Mobile News Intelligent Recommendation Experience Design Based On Time Dimension

With the development of network information technology and artificial intelligence technology,it has become the norm to use mobile mobile phones to obtain news information.The main feature of mobile mobile news is that it can break through the limitations of content transmission on the carrier under traditional technology conditions,and it can be used for users anytime and anywhere.Provide personalized content services.With the increasing use of mobile news smart recommendation in major news and information platforms,the attention of smart recommendation experience has also been increasing.It makes sense to study the mobile news intelligent recommendation experience from the perspective of experience design.Since the success of intelligent recommendation depends on the long-term continuous use of users,this paper studies it based on the time dimension,which provides a reference for the mobile news information enterprises to better understand and meet the personalized service experience needs of users.In this paper,the user experience of intelligent recommendation is taken as the research object.From the perspective of design,the design of mobile news recommendation experience based on time dimension is studied.Through the literature research,user interview method,questionnaire experiment research,card classification experiment and other methods,the time dimension of mobile phone news intelligent recommendation experience design element model is constructed,and the distribution of elements in three stages according to the five experience dimensions in the experience element model The situation further summarizes the specific performance characteristics of the five experience dimensions in the three stages,and finally puts forward the structural and methodological design strategies of the mobile news intelligent recommendation experience.This paper first expounds the meaning and user experience characteristics of intelligent recommendation.By introducing the time dimension experience design theory,based on the classification,periodicity and experience composition of time dimension user experience,a design framework of intelligent recommendation experience based on time dimension is established.The main research contents and results of this paper:1)Based on the overall experience research perspective,based on the productfeature analysis and user in-depth interview of mobile news intelligent recommendation,the overall experience composition model is proposed,and the model is verified through experiments and data analysis to obtain functional experience,situational experience,social experience,The emotional experience and the trust experience together constitute the overall user experience that positively influences the mobile news intelligence recommendation from large to small.2)Experiencing the cyclical research perspective,defining the scope of the experience cycle,and further analyzing the three phases of the experience cycle,and analyzing the relationship between the cycle experience and the long-term experience.3)Coordinating the three experiential value dimensions of the overall experience and the three stages of the experience cycle,constructing the experiential element model of the time dimension,and further summarizing the distribution of the elements in the three stages according to the five experience dimensions in the experiential element model.The overall performance characteristics of the five experience dimensions in the three phases.4)According to the analysis of experience factor model and overall experience feature distribution,the structural and method design strategy of mobile news intelligent recommendation experience is proposed.Finally,the application verification is realized through design practice.