Veveo, Inc.

Adeia Guides Inc.

Pankaj Garg

Sashikumar Venkataraman

Rakesh Barve

Murali Aravamudan

Pranav Rajanala

Vineet Agarwal

Keyur Faldu

Apurv Anand

Ajit Rajasekharan

Sankar Ardhanari

Manish Mohan Sharma

Kajamalai Gopalaswamy Ramakrishnan

Ganesh Ramamoorthy

Gopal Mishrimalji Rajpurohit

Keyur Vallabhbhai Faldu

The present disclosure provides user-interface methods and systems for submitting search requests to search engines and presenting search results therefrom customized using content preferences learned about a user, comprising sending query information to at least two search engines, including a query identifying desired content, and user information, including context information describing the environment in which the query information is being sent, and a user signature representing content preferences learned about the user; receiving at least one set of a search result and auxiliary information from the at least one search engine in response to sending the query information, including information describing attributes of the search result that led to the search result being chosen by the at least one search engine; ordering the at least one search result based at least in part on the auxiliary information; and presenting the ordered search results to the user.

Method of and system for conducting personalized federated search and presentation of results therefrom

A method of and system for enhanced local-device content discovery is disclosed. A method includes providing a local collection of content items and associated metacontent on a device. The metacontent describes the informational content of the corresponding content items. A remote catalog of metacontent items and information describing relationships between the metacontent items is provided. Input is received from the user for finding at least one desired content item and a search query is formed including at least one metacontent item of the remote catalog based on matching the input from the user with metacontent items of the catalog and further based on the information describing relationships between the metacontent items. A subset of content items of the local collection associated with metacontent that at least partially matches the search query is selected and presented on a display device based on at least one ranking criterion.

Method of and system for enhanced local-device content discovery

In accordance with one or more embodiments of the invention, a method and system are provided of processing a search query entered by a user of a device having a text input interface with overloaded keys. The search query is directed at identifying an item from a set of items. Each of the items has one or more associated descriptors. The system receives from the user an ambiguous search query directed at identifying a desired item. The search query is a prefix substring of each of at least two words relating to the desired item. The system dynamically identifies a group of one or more items from the set of items having one or more descriptors matching the search query as the user enters each character of the search query. The system outputs identification of the one or more items of the identified group to be displayed on the device operated by the user.

Method and system for processing ambiguous, multi-term search queries

Methods of and systems for dynamically rearranging search results into hierarchically organized concept clusters are provided. A method of searching for and presenting content items as an arrangement of conceptual clusters to facilitate further search and navigation on a display-constrained device includes providing a set of content items and receiving incremental input to incrementally identify search terms for content items. Content items are selected and grouped into sets based on how the incremental input matches various metadata associated with the content items. The selected content items are grouped into explicit conceptual clusters and user-implied conceptual clusters based on metadata in common to the selected content items. The clustered content items are presented according to the conceptual clusters into which they are grouped.

Methods and systems for dynamically rearranging search results into hierarchically organized concept clusters

Methods and systems for text disambiguation and context designation in incremental search are provided. A method for selecting items in response to ambiguous keystrokes entered by a user and unambiguous metadata associated with a previously selected search result includes receiving ambiguous keystrokes, selecting and presenting a first subset of items and metadata associated with the items presented based on the ambiguous keystrokes. The method also includes receiving a selection of one of the items from the user, and, in response to a locking operation received from the user, locking in fixed relation at least one of the ambiguous keystrokes to at least one metadata term associated with the selected item. The method further includes, subsequent to receiving the locking operation, selecting and presenting a second subset of items based at least in part on the locked metadata term, and presenting the second subset of items.

System and method for text disambiguation and context designation in incremental search

Methods and systems for incrementally selecting and providing relevant search engines in response to a user query. A method of incrementally selecting and providing relevant search engines is based in part on identifying a set of search engines associated with corresponding metadata, receiving a partial search query entered by the user of a device, inferring after each user keypress a set of potential full queries intended by the user, using the potential full queries and the search engine metadata to identify a set of relevant search engines, and for each of these search engines, providing a direct link to launch a relevant query in the search engine. The user input may be either ambiguous, or erroneous, and may be entered using an input-constrained device.

Growing community of inventors

Patiala, India

Pankaj Garg