Citrix Systems, Inc.

Jinren Zhang

Xiaolu Chu

Jie Zhuang

Tao Zhan

Ke Xu

Bo Song Chen

Lei Cao

Zhen Fan

Methods and systems for path selection involving remote access protocols and/or user behavior are described herein. A request, from a first computing device, for content hosted on a second computing device may be received. Based on network state metrics, remote access protocol metrics, and/or user experience metrics, a path of a plurality of paths between the first computing device and the second computing device may be selected. The path need not be the most direct path between the first computing device and the second computing device, and may comprise remote access to a computing device on an intermediary server. Based on user behavior analysis performed with respect to user input data, a path may be re-selected, and/or the network state metrics, remote access protocol metrics, and/or user experience metrics may be weighted.

User experience oriented path selection

One disclosed method involves parsing contents of an email file to determine a first individual who sent a first email communication represented in the file and a second individual who received the first email communication, presenting, by a display screen, a graphical user interface including a graphical representation of at least the first email communication, the graphical representation including a first icon representing the first individual, a second icon representing the second individual, and a third icon representing the first email communication, determining a selection of an icon from among at least the first icon, the second icon, and the third icon, determining that at least a first portion of the contents has a first relationship with the selected icon, and presenting an indication on the display screen corresponding to the first portion.

Graphical user interface for email file content

Text based searching can return results based on the system determining the searched text includes keywords or search terms. The present solution can return results based on a semantic analysis. The solutions described herein can provide high accuracy compared against the full-text or keyword-based retrieval algorithms. The solution can sort the results by semantic relevance based on the user's input search request. The present solution can provide meaningful results to the user even when the search text does not include the exact search keywords or phrases entered by the user.

Intelligent short text information retrieve based on deep learning

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Nanjing, China

Jinren Zhang