Abstract: An improved user interface in which related items are organized in a manner that is intuitive to a user, and ultimately results in the number of navigational steps performed by the user to identify desired items being reduced, is described herein. For example, instead of having a user interface display a large number of related items, a recommendation system can identify a single item related to an item initially selected by the user that is associated with one or more factors a user likely finds important in deciding which item to select, and produce data that results in a user interface that displays the single related item. Optionally, the user interface can display the single related item in an above-the-fold (ATF) portion of the user interface such that the single related item is visible to a user without the user having to interact with the user interface.

Abstract: The present disclosure designs a rotation matrix-based factor graph cooperative localization algorithm. Firstly, the reasons of sudden increase in an error in an operation process of a conventional factor graph cooperative localization algorithm are analyzed; secondly, a rotation matrix is designed, and the size of a rotation angle is determined; then, a rotation matrix-based cooperative localization algorithm factor graph model is constructed, and a specific algorithm flow is designed; and finally, filtering fusion estimation is performed on position status information of a slave boat.