Baynote, Inc.

Leland Stanford Junior University

Omron Corporation

Scott Brenner Brave

Jack Jia

Robert David Bradshaw

Christopher Minson

Hiroshi Nakajima

Ryota Yamada

Clifford Ivar Nass

Kimihiko Iwamura

Ritsuko Nishide

The invention comprises a set of complementary techniques that dramatically improve enterprise search and navigation results. The core of the invention is an expertise or knowledge index, called UseRank that tracks the behavior of website visitors. The expertise-index is designed to focus on the four key discoveries of enterprise attributes: Subject Authority, Work Patterns, Content Freshness, and Group Know-how. The invention produces useful, timely, cross-application, expertise-based search and navigation results. In contrast, traditional Information Retrieval technologies such as inverted index, NLP, or taxonomy tackle the same problem with an opposite set of attributes than what the enterprise needs: Content Population, Word Patterns, Content Existence, and Statistical Trends. Overall, the invention encompasses Baynote Search&#x2014;a enhancement over existing IR searches, Baynote Guide&#x2014;a set of community-driven navigations, and Baynote Insights&#x2014;aggregated views of visitor interests and trends and content gaps.

Method and apparatus for identifying, extracting, capturing, and leveraging expertise and knowledge

Starting with the people in and around enterprises, the expertise and work patterns stored in people's brains as exhibited in their daily behavior is detected and captured. A behavioral based knowledge index is thus created that is used to produce expert-guided, personalized information.

Method and apparatus for context-based content recommendation

An agent that receives an input event and outputs Emotion_Response messages based on personality trait indices and emotional state indices is disclosed. The agent has a social response generator that receives an input event, an output from an emotional state register and an output from a predefined personality trait register, and updates at least one of a current state of the emotional state register or a Social_Response message stored an event buffer. The agent has an emotion generator that outputs an Emotion_Response message based on at least one of the Social_Response message stored in the event buffer, one or more outputs of the predefined personality trait register, or one or more outputs of the emotional state register. The agent operates within an environment server that provides contextual environment that facilitates interaction amongst a group of agents, which receive input events from the contextual environment and outputs emotional response messages thereto.

Apparatus and method for socially intelligent virtual entity

The invention comprises a set of complementary techniques that dramatically improve enterprise search and navigation results. The core of the invention is an expertise or knowledge index, called UseRank that tracks the behavior of website visitors. The expertise-index is designed to focus on the four key discoveries of enterprise attributes: Subject Authority, Work Patterns, Content Freshness, and Group Know-how. The invention produces useful, timely, cross-application, expertise-based search and navigation results. In contrast, traditional Information Retrieval technologies such as inverted index, NLP, or taxonomy tackle the same problem with an opposite set of attributes than what the enterprise needs: Content Population, Word Patterns, Content Existence, and Statistical Trends. Overall, the invention emcompasses Baynote Search&#x2014;a enhancement over existing IR searches, Baynote Guide&#x2014;a set of community-driven navigations, and Baynote Insights&#x2014;aggregated views of visitor interests and trends and content gaps.

Method and apparatus for determining usefulness of a digital asset

The invention comprises a set of complementary techniques that dramatically improve enterprise search and navigation results. The core of the invention is an expertise or knowledge index, called UseRank that tracks the behavior of website visitors. The expertise-index is designed to focus on the four key discoveries of enterprise attributes: Subject Authority, Work Patterns, Content Freshness, and Group Know-how. The invention produces useful, timely, cross-application, expertise-based search and navigation results. In contrast, traditional Information Retrieval technologies such as inverted index, NLP, or taxonomy tackle the same problem with an opposite set of attributes than what the enterprise needs: Content Population, Word Patterns, Content Existence, and Statistical Trends. Overall, the invention emcompasses Baynote Search&#x2014;a enhancement over existing IR searches, Baynote Guide &#x2014;a set of community-driven navigations, and Baynote Insights&#x2014;aggregated views of visitor interests and trends and content gaps.

Method and apparatus for suggesting/disambiguation query terms based upon usage patterns observed

Method and apparatus for determining peer groups based upon observed usage patterns

Method and apparatus for predicting destinations in a navigation context based upon observed usage patterns

Method and apparatus for determining expertise based upon observed usage patterns

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Mountain View, CA, United States of America

Scott Brenner Brave