Go Daddy Operating Company, LLC

Yahoo! Inc.

Oath Inc.

Go Daddy Operating, LLC

Wei-Cheng Lai

Tapan Kamdar

Yang Zhao

Yu Tian

Moninder Jheeta

Wenbo Wang

Su-Lin Wu

Robert K Brown

Ryan Kirkish

Jeff McLellan

Chungwei Yen

Timothy Patrick Daly, Jr

Andrei Z Broder

Ronny Lempel

Edward Bortnikov

Evgeniy Gabrilovich

Peter Mika

Christopher C LuVogt

William Robert Pentney

Debora Donato

Jyothiprakash Trishuleshwar

David A Kellogg

Tejas Prakash Bajaj

Grace Wardhana

Salvador Celis

Xiang Mao

Systems and methods of the present invention provide for one or more server computers communicatively coupled to a network and configured to: receive a character string (e.g., a user input or a file content) from a client; match file tokens tokenized from the character string with knowledge base tokens in a database; generate labels/tags for the file tokens according to labels assigned to the knowledge base tokens and a second level domain (SLD) including a token from the file tokens; remove any tokens from the SLD flagged for removal in the database; generate a top level domain (TLD) and one or more domain names combining the SLD and the TLD; score each of one or more generated domain names according to domain name characteristics; and display a list of scored domain names on the client.

Recommending domains from free text

Methods are taught for creating training data for a learning algorithm, training the learning algorithm with the training data and using the trained learning algorithm to suggest domain names to users. A domain name registrar may store activities of a user on a registrar website. Preferably, domain name searches, selected suggested domain names and domain names registered to the user are stored as the training data in a training database. The training data may be stored so that earlier activities act as inputs to the learning algorithm while later activities are the expected outputs of the learning algorithm. Once trained, the learning algorithm may receive activities of other users and suggest domain names to the other users based on their activities.

Using a learning algorithm to suggest domain names

Systems and methods of the present invention provide for one or more server computers communicatively coupled to a network and configured to: receive a string used to search an available domain name, identify a token within the string including a unigram, and generate and transmit one or more available domain name candidates including a unigram and one or more tokens interchangeable with a token previously co-occurring with the unigram token.

Domain name generation and searching using unigram queries

Systems and methods of the present invention provide for one or more server computers communicatively coupled to a network and configured to: identify a business name within an aggregation of business names; tokenize the business name; match a resulting token to an industry related keyword; generate a template with placeholders replacing a prefix or a suffix appended to the token from a recognized pattern; identify a request to generate a name candidate, select a personalized data associated with the requesting user and an associated industry; and generate a list of name candidates, with the personalized data inserted into the placeholder; then determines the availability and ranks each name candidate in the list.

Data-driven online business name generator

Training a learning algorithm to suggest domain names

Systems and methods of the present invention provide for one or more server computers communicatively coupled to a network and configured to: monitor a character stream; identify characters comprising a domain name request; identify a token in a language character map comprising the characters and associated with a language; generate, using a software translation engine, a translation of the first token into a second language; generate candidate domain names comprising: a domain name comprising the token; and a second domain name comprising the second token; modify, in real time, a user interface control to display the list of candidate domain names.

Auto completing domain names comprising multiple languages

Systems and methods of the present invention provide for one or more server computers communicatively coupled to a network and configured to: aggregate a plurality of knowledge base data comprising a plurality of tokens; identify a plurality of available domain names based on a difference between the plurality of tokens within the knowledge base data; eliminate from the plurality of available domain names, at least one grammatically incorrect domain name; rank the plurality of available domain names according to a machine learning algorithm; and transmit the plurality of available domain names to a client computer communicatively coupled to the network.

Domain name generation and ranking

Systems and methods of the present invention provide for one or more server computers communicatively coupled to a network and configured to: create a data table of characters, where each character in the data table is assigned a false Boolean value; for each character found in each domain name in a DNS file, update the Boolean value to true; receive a domain search request comprising a token and a TLD; generate candidate domain names using the token and the TLD; query the database to determine if any character in the domain name has the false Boolean value in the data table; and if so, remove the domain name from the candidate domain names.

Verifying character sets in domain name requests

The present invention is directed towards systems and methods for providing a microdocument framework. The method and system includes receiving a plurality microdocuments and detecting content data for each of the plurality of microdocuments. The method and system further includes indexing at least a portion of the plurality of microdocuments based on the detected content and performing a searching operation using the content data associated with the microdocument data to determine a microdocument set. Thereupon, the method and system performs at least processing one operation on the microdocument set.

Systems and methods for providing a microdocument framework for storage, retrieval, and aggregation

Methods for generating (also known as spinning) and displaying suggested domain names to a domain name registrant by a domain name registrar are presented. The methods generate and display suggested domain names based on one or more methods. The one or more methods include determining how frequently the generated domain names are displayed to the domain name registrant (the fewer the times the better), the value of the generated domain names and/or how well the generated domain names compliment a portfolio of domain names or products and services already registered to the domain name registrant.

Portfolio-based domain name recommendations

Systems and methods of the present invention provide for one or more server computers communicatively coupled to a network and configured to: receive a string used to search an available domain name, identify a token within the string, and select an acronym or full string token in an acronym database matching the token. If the token matches acronym or full string tokens in the acronym database, the server generates and transmits one or more available domain name candidates with the acronym or full string tokens to the user's client computer.

Acronym identification in domain names

Systems and methods of the present invention provide for one or more server computers communicatively coupled to a network and configured to: receive a string used to search an available domain name, identify a token within the string, select a misspelled token in a misspelled token database matching the token, and generate a corrected search string with a corrected token replacing the misspelled token. If the corrected search string has a higher probability of representing the intent of the user, the server generates and transmits one or more available domain name candidates with the corrected token to the user's client computer.

Misspelling identification in domain names

Systems and methods for ranking domain names across disparate sets thereof include receiving domain name search results from multiple sources, wherein a ranking function is unusable to rank sets from the disparate sources against each other, normalizing the sets to generate a plurality of normalized candidate domain names that can be ranked against each other using the ranking function, and applying the ranking function to the plurality of normalized candidate domain names to create a ranked list of domain names. The ranked list may be sent to the device of the searching entity so that the 'best' domain name can be selected even when the results originate from disparate results.

Growing community of inventors

Cupertino, CA, United States of America

Wei-Cheng Lai