Microsoft Technology Licensing, LLC

Adam D Troy

Sanaz Ahari

Brian W MacDonald

Nikhil Dandekar

Sarthak D Shah

Farid Hosseini

Michael Maxwell Cameron

Xiaoxin Yin

Dan Fain

Paul Nathan Bennett

Adam Fourney

Sandeep S Sahasrabudhe

Roberta Cannerozzi

Anne Loomis Thompson

Jeremy Grubaugh

Ragavenderan Venkatesan

Maya Angele Pelichet

Ramakrishna B Bairi

Graham Kent

Yaw Oduro Amoateng

Åsmund Grammeltvedt

Qian Zhao

Ola Natvig

Wei-Han Chang

Roman Werpachowski

Aaron John Cronin

Daniel C Fain

The disclosed technology is generally directed to a personalized feed. In one example of the technology, selected key-value pairs from a profile associated with a user are provided. Based on a prompt that includes natural-language text instructions, the selected key-value pairs, and ranked content, a large language model is used to generate: pill prompts associated with the ranked content, such that the pill prompts are information requests that are unique and personalized to have particular relevance to the user based on selected key-value pairs, and a response to each pill prompt such that the response includes content corresponding to the requested information. A content feed is displayed to the user, including displaying selectable pills to the user as part of the displayed content feed such that each selectable pill includes a corresponding pill prompt. The response to the pill prompt that corresponds to the selection is displayed to the user.

User interface including personalized feed with dynamically generated prompts

Generally discussed herein are devices, systems, and methods for resource retrieval. A method may include determining that a calendar event is scheduled to occur in a specified period of time, responsive to the determination, extracting content of a calendar event on a calendar of the messaging interface, generating a list of resources accessible by the user and related to the extracted content of the calendar event, ranking the resources by a comparison of the extracted content of the calendar event and the content of resources of the list of resources, and causing respective summaries of a specified number of the respective resources with higher respective ranks to be output on the display.

Calendar-aware resource retrieval

Computer-readable media and computerized methods are provided for identifying terms associated with one or more queries, including aspects directed to manipulating a list of terms associated with a query class by extracting terms, identifying equivalences or relevant terms, and condensing or expanding the list of terms. In embodiments, synonymous terms can be identified. An updated list of terms can be written to a storage location in association with a query or query class.

Identifying terms associated with queries

Computer-readable media and computerized methods for automatically organizing search results according to task groups are provided. The methods involve aggregating a gallery of entities (e.g., search queries that share a common categorization) into a query class and assigning a dictionary (e.g., list of terms that are drawn from various sources) to the query class. The task groups are identified from the list of terms within the dictionary. The process of identification includes analyzing patterns of user search behavior to select terms from the list of terms, which reflect popular user search intents, and ranking the selected terms based on predetermined parameters to produce an ordering. Based on the ordering, a set of the selected terms that are highest ranked are declared the task groups. The task groups are employed to arrange the search results on a UI display and to provide a consistent and intuitive format for refining a search.

Identifying task groups for organizing search results

Growing community of inventors

Redmond, WA, United States of America

Adam D Troy