Umut Ozertem

US Patent:

20120191745, Jul 26, 2012

Filed:

Jan 24, 2011

Appl. No.:

13/012795

Inventors:

Emre Velipasaoglu - San Francisco CA, US
Alpa Jain - San Jose CA, US
Umut Ozertem - Sunnyvale CA, US

Assignee:

Yahoo!, Inc. - Sunnyvale CA

International Classification:

G06F 17/30

US Classification:

707767, 707E17074

Abstract:

Data-mining software receives a user query as an input and segments the user query into a number of units. The data-mining software then drops terms from a unit using a Conditional Random Field (CRF) model that combines a number of features. At least one of the features is derived from query logs and at least one of the features is derived from web documents. The data-mining software then generates one or more candidate queries by adding terms to the unit. The added terms result from a hybrid method that utilizes query sessions and a web corpus. The data-mining software also scores each candidate query on well-formedness of the candidate query, utility, and relevance to the user query. Then the data-mining software stores the scored candidate queries in a database for subsequent display in a graphical user interface for a search engine.

US Patent:

20120296743, Nov 22, 2012

Filed:

May 19, 2011

Appl. No.:

13/111058

Inventors:

Omer Emre Velipasaoglu - San Francisco CA, US
Umut Ozertem - Sunnyvale CA, US

Assignee:

YAHOO! INC. - Sunnyvale CA

International Classification:

G06Q 30/00
G06F 17/30
G06Q 20/00
G06F 7/00

US Classification:

705 1454, 707767, 707706, 705 39, 707E17108

Abstract:

Method, system, and programs for providing personalized suggest-as-you-type suggestions in response to a user search query wherein the personalized query suggestions are based on the user's past interactions with the system. The system is able to identify frequent queries issued by the user that result in the user clicking on the same universal resource locator.

US Patent:

20120296927, Nov 22, 2012

Filed:

May 17, 2011

Appl. No.:

13/109274

Inventors:

Omer Emre Velipasaoglu - San Francisco CA, US
Umut Ozertem - Sunnyvale CA, US
Alpa Jain - San Jose CA, US

Assignee:

Yahoo! Inc. - Sunnyvale CA

International Classification:

G06F 17/30

US Classification:

707768, 707E17016

Abstract:

Disclosed is a system and method for providing search suggestions to a user based on the user's previously entered search queries. A computing device stores a global set of search suggestions. The computing device receives over a network from a user computer operated by a user one or more alphanumeric characters forming a portion of a search query. The computing device determines a search suggestion to the portion of the search query from the global set of search suggestions based on a search history of the user, the search history of the user comprising a plurality of search queries entered by the user within a predetermined period of time. The computing device transmits to the user computer the search suggestion for display by the user computer.

US Patent:

20130132433, May 23, 2013

Filed:

Nov 22, 2011

Appl. No.:

13/301786

Inventors:

Umut Ozertem - Sunnyvale CA, US
Debora Donato - San Francisco CA, US
Luca Aiello - Torino, IT

Assignee:

Yahoo! Inc. - Sunnyvale CA

International Classification:

G06F 17/30

US Classification:

707771, 707E17014

Abstract:

A method and system for categorizing web-search queries in semantically coherent topics. The method includes receiving plurality of web-search queries from one or more users and storing the plurality of web-search queries in a query log. The method further includes processing the plurality of web-search queries for topic generation by generating plurality of missions from the query log and merging together one or more missions belonging to a similar topic. Further, the method includes determining topical user profile of a user by matching each mission of the user with one or more relevant topics, and detecting user activity of the user from random user activity. Moreover, the method includes naming one or more semantically coherent topics using a set of common concept terms extracted from the plurality of web-search queries. The system includes one or more electronic devices, a communication interface, a memory, and a processor.

US Patent:

20120084297, Apr 5, 2012

Filed:

Oct 4, 2010

Appl. No.:

12/897620

Inventors:

Gilad Avraham Mishne - Oakland CA, US
Umut Ozertem - Sunnyvale CA, US

Assignee:

YAHOO! INC. - Sunnyvale CA

International Classification:

G06F 17/30

US Classification:

707748, 707767, 707755, 707E17108, 707E17116

Abstract:

One embodiment identifies a set of network resources relating to a search query; determines one or more sets of query suggestions for one or more network resources from the set of network resources, respectively, wherein each one of the one or more sets of query suggestions is related to a corresponding one of the one or more network resources; and provides the one or more network resources and the one or more sets of query suggestions in response to the search query, wherein each one of the one or more sets of query suggestions is provided in association with its corresponding one of the one or more network resources.

US Patent:

20170154623, Jun 1, 2017

Filed:

Feb 13, 2017

Appl. No.:

15/431350

Inventors:

- Redmond WA, US
Umut Ozertem - San Carlos CA, US
Sarangarajan Parthasarathy - Mountain View CA, US
Ziad Al Bawab - San Jose CA, US

Assignee:

Microsoft Technology Licensing, LLC. - Redmond WA

International Classification:

G10L 15/187
G10L 15/07

Abstract:

A new pronunciation learning system for dynamically learning new pronunciations assisted by user correction logs. The user correction logs provide a record of speech recognition events and subsequent user behavior that implicitly confirms or rejects the recognition result and/or shows the user's intended words by via subsequent input. The system analyzes the correction logs and distills them down to a set of words which lack acceptable pronunciations. Hypothetical pronunciations, constrained by spelling and other linguistic knowledge, are generated for each of the words. Offline recognition determines the hypothetical pronunciations with a good acoustical match to the audio data likely to contain the words. The matching pronunciations are aggregated and adjudicated to select new pronunciations for the words to improve general or personalized recognition models.

US Patent:

20160275071, Sep 22, 2016

Filed:

Jun 2, 2016

Appl. No.:

15/171149

Inventors:

- Redmond WA, US
Umut Ozertem - San Carlos CA, US
Sarangarajan Parthasarathy - Mountain View CA, US
Padma Varadharajan - Palo Alto CA, US
Karthik Raghunathan - Sunnyvale CA, US
Issac Alphonso - San Jose CA, US

Assignee:

Microsoft Technology Licensing, LLC - Redmond WA

International Classification:

G06F 17/27
G10L 15/187
G10L 15/01
G06F 17/28
G10L 15/30
G10L 25/33
G10L 15/22

Abstract:

Examples of the present disclosure describe generation of a multi-arc confusion network to improve, for example, an ability to return alternatives to output generated. A confusion network comprising token representations of lexicalized hypotheses and normalized hypotheses is generated. Each arc of the confusion network represents a token of a lexicalized hypothesis or a normalized hypothesis. The confusion network is transformed into a multi-arc confusion network, wherein the transforming comprising realigning at least one token of the confusion network to span multiple arcs of the confusion network. Other examples are also described.

US Patent:

20160267128, Sep 15, 2016

Filed:

Mar 13, 2015

Appl. No.:

14/657568

Inventors:

- Redmond WA, US
Ali Ahmadi - Bellevue WA, US
Sarangarajan Parthasarathy - Sunnyvale CA, US
Nick Craswell - City Center WA, US
Umut Ozertem - San Carlos CA, US
Milad Shokouhi - Cambridge, GB
Karthik Raghunathan - Sunnyvale CA, US
Rosie Jones - Cambridge MA, US

Assignee:

Microsoft Technology Licensing , LLC - Redmond WA

International Classification:

G06F 17/30
G10L 15/26

Abstract:

Methods and systems are provided for providing alternative query suggestions. For example, a spoken natural language expression may be received and converted to a textual query by a speech recognition component. The spoken natural language expression may include one or more words, terms, and/or phrases. A phonetically confusable segment of the textual query may be identified by a classifier component. The classifier component may determine at least one alternative query based on identifying at least the phonetically confusable segment of the textual query. The classifier may further determine whether to suggest the at least one alternative query based on whether the at least one alternative query is sensical and/or useful. When it is determined to suggest the at least one alternative query, the at least one alternative query may be provided to and displayed on a user interface display.