Microsoft Technology Licensing, LLC

Momo Klyen

Xianchao Wu

Keizo Fujiwara

Zhan Chen

Wei Wu

Katsuya Iida

Jyunnya Saiki

Akihiro Okuzawa

The present disclosure is directed to systems, methods and devices for providing artificial intelligence (AI) entity-specific feedback. Official content related to an entity or entity figure may be extracted and analyzed. The extracted content may be classified in an entity corpus based on a determined language style of the content. An input into a conversational AI system may be received. A plurality of potential responses related to the input may be determined from one or more entity corpus. Each of the plurality of potential responses may be ranked according to a rank match value calculated for each of the plurality of determined responses, and at least one of potential responses may be provided as feedback.

Entity-specific conversational artificial intelligence

The present disclosure is directed to systems, methods and devices for providing product and service recommendations to users via conversational AI dialog. A natural language user input may be inspected. One or more product-related keywords from the inspected natural language user input may be extracted. A user profile for a user may be analyzed and a determination regarding one or more categories from the user profile that are related to the extracted product-related keywords may be made. One or more match values connecting the natural language user input to one or more candidate product recommendations may be calculated. The one or more candidate product recommendations may be ranked and a product recommendation based on the ranking may be provided.

Recommendation through conversational AI

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Tokyo, Japan

Momo Klyen