PREVENTION OF INVALID SELECTIONS BASED ON MACHINE LEARNING OF USER-SPECIFIC LATENCY

The specification relates to a client device utilizing an unintentional-selection module that disambiguates selection events for temporally proximate content. The client device records time stamps indicating a time a dynamic list is first presented and instances when the dynamic list is updated. An input selection indicating that a suggested search query has been chosen from the dynamic list of search suggestions is received and a time stamp for the input selection is recorded. A determination is made to see if the input selection is an unintentional selection. The input selection is determined as the unintentional selection when a difference between a time stamp for presenting a most recent dynamic list update and the time stamp of the input selection satisfies a user-specific threshold. The user-specific threshold is calculated with a machine learning system using user-specific latency times as training data.