Filling out input forms for (mobile) data acquisition is often tedious and, moreover, prone to errors. And it can often be observed that input sequences are repeated so that, in principle, workloads could be avoided. An innovative approach to overcoming these problems would be a situation-dependent "intelligent" prefilling of the data entry forms. (Situational factors would be, e.g., acquisitions already made by the user in the past, the current geographic location, time of day, etc.) In other words: On the basis of the forms already filled out in the past, the idea is to have a "recommendation system" that suggests suitable candidates. At best, the system should "learn" from the acquisition processes that have already been completed.

My question: Who knows work that has already dealt with "recommendation systems" specifically for input forms? (Here, input forms consist of a possibly large number of data fields that have to be filled with values.)

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