International Business Machines Corporation

Cheng-Lun Yang

Po-cheng Chiu

Chih-Hsiung Liu

Chiwen Chang

Cheng-Fang Lin

Tsai-Hsuan Hsieh

I-Chien Lin

Jui Hsiang Huang

Norman Kung

Tao-Hung Jung

Hao Chun Hung

Joanne Kuei-Chen Ho

Shin Yu Wey

A computer implemented method for managing the scope of permissions granted by users to application that includes collecting a set of permissions for an application from an application provider publication; and collecting a process flow for functional steps of the application from a review of the application that is published on a product review type publication. The computer implemented method further includes dividing the functional steps of the application into a plurality of journeys, each of said plurality of journeys having a function associated with a stage of a functional step from a perspective of a user; and matching permissions from the set of permissions for each journey of said plurality of journeys to provide matched permissible permissions to journeys stored in a customer journey store.

Computer analysis of software permissions for protecting access to data

A process for context-based autocompletion suggestion includes, based on initiating an online chat by a user of a computer system, the chat having as participants the user and a target participant, providing participant information that identifies the participants. The process maintains at the computer system a relation-based autocompletion model for use in word autocompletion suggesting. The maintained relation-based autocompletion model is initially a template model based on to relationship between chat participants, and is updated over time via training. The process suggests to the user words for autocompletion in the user's composition of chat messages, the suggested words being selected as suggestions based on the maintained relation-based autocompletion model. Maintaining the relation-based autocompletion model includes sending chat messages as training data to further train the autocompletion model.

Context-based autocompletion suggestion

Aspects generate recommendations in response to messaging content, wherein processors are configured to identify keywords within text content extracted from a received message that are assigned to a topic leaf node within an event taxonomy and a root event node from which the topic leaf node depends; identify a plurality of recommendation items that each match a type of event of the root event node and are linked to the topic node of the identified keyword; determine, for each of the recommendation items, a sender sentiment value as a function of a preference of the sender, and a recipient sentiment value as a function of a preference of the recipient; and present to the sender and the recipient as an event recommendation a subset of the recommendation items that each satisfy a sentiment threshold for the sender sentiment value and the recipient sentiment value.

Recommendation generator responsive to messaging content

Growing community of inventors

Taipei, Taiwan

Cheng-Lun Yang