DAVID ARIEL COHN
Pilots at Greenwood Ave, Palo Alto, CA
License number
California A2471750
Issued Date
Jun 2015
Expiration Date
Jun 2016
Category
Airmen
Type
Authorized Aircraft Instructor
Address
Address
1431 Greenwood Ave, Palo Alto, CA 94301
Personal information
See more information about DAVID ARIEL COHN at radaris.comName
Address
Phone
5330 Lake Crest Dr, Agoura Hills, CA 91301
5417 Lake Murray Blvd APT 13, La Mesa, CA 91942
5750 Amaya Dr UNIT 54, La Mesa, CA 91942
5592 Taft Ave, Oakland, CA 94618
3830 W School Ave, Visalia, CA 93291
Professional information
See more information about DAVID ARIEL COHN at trustoria.com
Methods And Systems For Assisted Network Browsing
Methods And Systems For Assisted Network Browsing
US Patent:
7516118, Apr 7, 2009
Filed:
Dec 31, 2003
Appl. No.:
10/749440
Inventors:
Gregory Joseph Badros - Mountain View CA, US
David Ariel Cohn - Palo Alto CA, US
Radhika Malpani - Palo Alto CA, US
John Dominlck Piscitello - San Francisco CA, US
David Ariel Cohn - Palo Alto CA, US
Radhika Malpani - Palo Alto CA, US
John Dominlck Piscitello - San Francisco CA, US
Assignee:
Google Inc. - Mountain View CA
International Classification:
G06F 17/30
US Classification:
707 3
Abstract:
Systems and methods for assisted network browsing are described. In one described method, a client device receives an interest signal indicating a user's interest in a hyperlink contained in a first document. The client device responds to the interest signal by generating a request signal comprising a request for third-party-provided information about a second document associated with the hyperlink. The client device receives the requested third-party-provided information and causes it to be output in association with the first document.
Query Revision Using Known Highly-Ranked Queries
Query Revision Using Known Highly-Ranked Queries
US Patent:
8375049, Feb 12, 2013
Filed:
Sep 7, 2010
Appl. No.:
12/876896
Inventors:
David R. Bailey - Palo Alto CA, US
Alexis J. Battle - Palo Alto CA, US
David Ariel Cohn - Palo Alto CA, US
Barbara Engelhardt - San Francisco CA, US
P. Pandurang Nayak - Palo Alto CA, US
Alexis J. Battle - Palo Alto CA, US
David Ariel Cohn - Palo Alto CA, US
Barbara Engelhardt - San Francisco CA, US
P. Pandurang Nayak - Palo Alto CA, US
Assignee:
Google Inc. - Mountain View CA
International Classification:
G06F 17/30
US Classification:
707767
Abstract:
An information retrieval system includes a query revision architecture providing one or more query revisers, each of which implements a query revision strategy. A query rank reviser suggests known highly-ranked queries as revisions to a first query by initially assigning a rank to all queries, and identifying a set of known highly-ranked queries (KHRQ). Queries with a strong probability of being revised to a KHRQ are identified as nearby queries (NQ). Alternative queries that are KHRQs are provided as candidate revisions for a given query. For alternative queries that are NQs, the corresponding known highly-ranked queries are provided as candidate revisions.
Query Revision Using Known Highly-Ranked Queries
Query Revision Using Known Highly-Ranked Queries
US Patent:
7870147, Jan 11, 2011
Filed:
Nov 22, 2005
Appl. No.:
11/285814
Inventors:
David R. Bailey - Palo Alto CA, US
Alexis J. Battle - Redwood City CA, US
David Ariel Cohn - Palo Alto CA, US
Barbara Engelhardt - San Francisco CA, US
P. Pandurang Nayak - Palo Alto CA, US
Alexis J. Battle - Redwood City CA, US
David Ariel Cohn - Palo Alto CA, US
Barbara Engelhardt - San Francisco CA, US
P. Pandurang Nayak - Palo Alto CA, US
Assignee:
Google Inc. - Mountain View CA
International Classification:
G06F 7/00, G06F 17/30
US Classification:
707767, 707769
Abstract:
An information retrieval system includes a query revision architecture providing one or more query revisers, each of which implements a query revision strategy. A query rank reviser suggests known highly-ranked queries as revisions to a first query by initially assigning a rank to all queries, and identifying a set of known highly-ranked queries (KHRQ). Queries with a strong probability of being revised to a KHRQ are identified as nearby queries (NQ). Alternative queries that are KHRQs are provided as candidate revisions for a given query. For alternative queries that are NQs, the corresponding known highly-ranked queries are provided as candidate revisions.