Ebay, Incorporated

Oracle International Corporation

Paypal, Inc.

Randall Scott Shoup

Alvaro Bolivar

James Wolf

Neelakantan Sundaresan

Wenyan Hu

Xiaodi Zhang

Raghav Gupta

Eric Noel Billingsley

Jean-David Ruvini

Badrul M Sarwar

Brian Scott Johnson

Rajyashree Mukherjee

Brian M Johnson

Venkat Sundaranatha

Musaab At-Taras

Jason M Heidema

Benny Soetarman

Daniel Kramer

Nicholas David Posner

Sriram Samu

Thomas Lo

Sanjay Pundlkrao Ghatare

Louis Marcel Gino Monier

Raghuram Venkatasubramanian

Preston Smalley

Suhail Ansari

Anselm Paul Baird-Smith

Vipul C Dalal

Connie Y Yang

Raffi Tutundjian

Dan L Pritchett

Gunshekar Cemballi

Vijay Kumar

Thomas Nelson

James Ladd

Ramana M Idury

Alok Bhanot

Richard Douglas Henderson

Jeffrey Douglas

In one embodiment, a method is illustrated as including defining a set of perspective objects capable of being placed onto a modified web page, monitoring parameters of a web page, the parameters including a number of times a current object is executed on the web page, using an Artificial Intelligence (AI) algorithm to determine a perspective object with a preferred Return On Investment (ROI), and selecting the perspective object to be placed onto the modified web page.

Economic optimization for product search relevancy

A computer-implemented system and method for providing information tagging in a networked system is disclosed. The apparatus in an example embodiment includes a tag engine configured to process a database of categorized product listings; to receive a user-provided tag associated with at least one of the product listings; to retain the user-provided tag; and to serve the user-provided tag to a user viewing at least one of the product listings.

Providing informational tags within networked systems

In various exemplary embodiments, a system and associated method predict auto-complete recommendations for a partial search request. A search engine receives a partial search request with one or more characters from a client device. A first set of auto-complete recommendations corresponding to the one or more characters of the partial search request are identified. A second partial search request is predicted that comprises a set of characters with one or more additional characters added to the one or more characters from the partial search request. A second set of auto-complete recommendations corresponding to the second partial search request is identified. The first set of auto-complete recommendations and the second set of auto-complete recommendations are returned to the client device as a response to the partial search request.

Search box auto-complete

A computer-implemented system and method for displaying additional information corresponding to an item represented by a visual indicator in response to a mouseover event is disclosed. Various embodiments receive a mouseover event corresponding to a visual indicator displayed on a display screen and generate additional information corresponding to an item represented by the visual indicator in response to the mouseover event, the additional information being obtained from various databases and used to generate additional information corresponding to the item.

System to present additional item information

In various exemplary embodiments, a system and associated method for prioritizing search results in an electronic environment is disclosed. In one embodiment, a plurality of characters is received from an end-user as a query. A plurality of equivalent keywords is selected responsive to the query with each of the equivalent keywords being evaluated based on a probability of matching the query of the end-user. A rank of each of the equivalent keywords is determined to form a response, which is then transmitted to the end-user. Other methods and related systems are disclosed.

Ranking algorithm for search queries

In various exemplary embodiments, systems and associated methods to predict search results in an electronic environment are disclosed. In one embodiment, a method to provide responses to a search request includes receiving, from an end-user, one or more characters that form a portion of the search request. Prior to receiving a completed version of the search request from the end-user, a plurality of keywords is predicted based on the one or more characters. The prediction is based on the most probable keywords selected from a plurality of prior requests stored in a database. A plurality of responses is prepared based on the most probable keywords. The responses are fit within a single communications packet and returned as a reply to the search request. Other systems and methods are disclosed.

Predictive algorithm for search box auto-complete

System and method for providing information tagging in a networked system

In various embodiments, a method of prioritizing search results in an electronic environment is disclosed. The method includes selecting a plurality of equivalent keywords responsive to a search query from an end-user, determining a rank of each of the plurality of equivalent keywords, selecting a plurality of most highly ranked keywords from the plurality of equivalent keywords, and preparing a response including the plurality of most highly ranked keywords.

In various exemplary embodiments, a system and associated method to predict search results in an electronic environment is disclosed. The system architecture comprises a communications module to receive a query from a remote end-user where the query includes one or more characters contained within a first single communications packet. A query engine is coupled to the communications module. The query engine uses the one or more characters from the query to predictively match keywords contained within a data structure (e.g., a database) and forms a response from the one or more characters. The response is transmitted back to the end-user within a second single TCP communications packet.

In various exemplary embodiments, a system and associated method for prioritizing search results in an electronic environment is disclosed. The system comprises a communications module to receive a search query from an end-user. The search query includes one or more characters contained within a single TCP packet. A query engine coupled to the communications module matched the one or more characters from the search query against a plurality of selected keywords contained within a database against the search query. Each keyword is then ranked within the plurality of selected keywords thus forming a subset of selected keywords. A response including the subset of selected keywords is returned to the end-user.

Ranking algorithm for search box auto-complete

A system and method for context and community based customization for a user experience is disclosed. The apparatus in an example embodiment includes a user experience customizer to gather context information, automatically produce user experience customization selections based on the context information, collect user activity feedback from a community of users, and use the user activity feedback to adjust the user experience customizer to automatically produce user experience customization selections likely favored by a user based on a correlation of the user activity feedback with the context information.

System and method for context and community based customization for a user experience

Growing community of inventors

San Francisco, CA, United States of America

Randall Scott Shoup