DocHub makes it fast and straightforward to conceal topic in Amigaguide. No need to instal any extra application – simply upload your Amigaguide to your account, use the easy drag-and-drop user interface, and quickly make edits. You can even work on your PC or mobile device to modify your document online from any place. That's not all; DocHub is more than just an editor. It's an all-in-one document management solution with form building, eSignature features, and the ability to let others fill out and eSign documents.
Every file you edit you can find in your Documents folder. Create folders and organize records for easier search and retrieval. In addition, DocHub ensures the safety of all its users' data by complying with strict protection standards.
here we go sorry about that i can start from the beginning uh hello everyone uh this is equine from ruggers university our paper is about explainable attribute aware item set recognition and this is a collaboration with amazon product graph team letamp;#39;s first look at an example of attributable item to item cell recommendation it is known as compared with similar items in amazon for a query item for example vitamin in this case the system recommends a set of relevant items as well as a table of table of attributes and values of these items such recommendations can improve user shopping experience by allowing to to compare similar items in a unified view however there may be several potential issues of the existing attribute aware item set recommendation the foremost issue is the fixed attribute ranking it lacks personalization and more importantly not all attributes are important to users when they compare items second the justification here saying compare with similar items is ve