Erik Nathan Vee

7805429, Sep 28, 2010

Jan 29, 2008

12/021588

Zoe Abrams - Kensington CA, US
Erik Nathan Vee - San Jose CA, US

Yahoo! Inc. - Sunnyvale CA

G06F 17/30

707706, 707707

A method is disclosed for diminishing user advertisement fatigue to increase click efficiency, including receiving a search query or browsing action from a user; analyzing a plurality of advertisements available for delivery to a search results page in response to the search query or browsing action; arranging the plurality of advertisements in a queue so that, when delivered sequentially from the queue, no advertisement is viewable more than once on a search results page, to thereby reduce advertisement fatigue of the user; and delivering the queued plurality of advertisements sequentially to the search results pages of the user.

7890494, Feb 15, 2011

Oct 31, 2007

11/932928

Erik N. Vee - San Jose CA, US
Minos Garofalakis - San Francisco CA, US
Jayavel Shanmugasundaram - Santa Clara CA, US
Ashwin Kumar V Machanavajjhala - Ithaca NY, US

Yahoo! Inc. - Sunnyvale CA

G06F 17/30

707713, 707715, 707718, 707736, 707755

The subject matter disclosed herein relates to processing information regarding events. In one particular example, a stabbing query may be formulated in response to an event. One or more sets are associated with and/or mapped to nodes of a tree.

7974976, Jul 5, 2011

May 18, 2007

11/750512

Sihem Amer Yahia - New York NY, US
Jayavel Shanmugasundaram - Santa Clara CA, US
Utkarsh Srivastava - Santa Clara CA, US
Erik Vee - San Jose CA, US

Yahoo! Inc. - Sunnyvale CA

G06F 17/30

707736, 707742, 707708

A system and method for deriving user intent from a query. The system includes a query engine, and an advertisement engine. The query engine receives a query from the user. The query engine analyzes the query to determine a query intent that is matched to a domain. The query may be further analyzed to derive predicate values based on the query and the domain hierarchy. The domain and associated information may then be matched to a list of advertisements. The advertisement may be assigned an ad match score based on a correlation between the query information and various listing information provided in the advertisement.

8001117, Aug 16, 2011

May 18, 2007

11/750871

Sihem Amer Yahia - New York NY, US
Jayavel Shanmugasundaram - Santa Clara CA, US
Utkarsh Srivastava - Santa Clara CA, US
Erik Vee - San Jose CA, US
Prashanth Bhat - Sunnyvale CA, US

Yahoo! Inc. - Sunnyvale CA

G06F 7/00

707728, 707765, 707771

The system includes a query engine and an advertisement engine. The query engine is configured to receive a query from the user. The advertisement engine generates advertisement results corresponding to the query. The advertisement results are selected from entries in an advertisement database, where the entries include predicate values corresponding to a domain. The advertisement engine generates a diverse advertisement result that is a subset of the database entries that match the query. The diversity result varies at least one predicate by selecting entries for the list that include a proportional representation of each available predicate value in the database that matches the query.

8229933, Jul 24, 2012

Feb 26, 2010

12/714142

Marcus Fontoura - Mountain View CA, US
Suhas Sadanandan - Sunnyvale CA, US
Jayavel Shanmugasundaram - Santa Clara CA, US
Sergei Vassilvitskii - New York NY, US
Erik Vee - San Mateo CA, US
Srihari Venkatesan - Sunnyvale CA, US
Jason Zien - Mountain View CA, US

Yahoo! Inc. - Sunnyvale CA

G06F 7/00

707741, 707797

An item of inventory is described as a Boolean expression, which is converted into a multi-level, alternating AND/OR impression tree representation with leaf nodes representing conjuncts. Processing the conjuncts of the tree through a contract index results in retrieving a set of candidate contracts that match at least some but not necessarily all impression tree leaf node predicates. Next, an AND/OR contract tree representation is constructed with each contract tree leaf node having a label representing a projection onto a discrete set of ordered symbols. Contracts with projections that cover the entire range of discrete set of ordered symbols are deemed to satisfy the item of inventory. Implementation of the contract index includes retrieval techniques to support multi-valued predicates as well as confidence threshold functions using a multi-level tree representation of multi-valued predicates.

8311885, Nov 13, 2012

Oct 30, 2009

12/609427

Oliver Kennedy - New York NY, US
Tasos Anastasakos - San Jose CA, US
Jianchang Mao - San Jose CA, US
Erik Vee - San Mateo CA, US
Jayavel Shanmugasundaram - Santa Clara CA, US
Sergei Vassilvitskii - New York NY, US
Jian Yang - Palo Alto CA, US
John Tomlin - Sunnyvale CA, US

Yahoo! Inc. - Sunnyvale CA

G06Q 30/00

705 1441, 705 1443

An advertisement impression distribution system includes a data processing system operable to generate an allocation plan for serving advertisement impressions. The allocation plan allocates a first portion of advertisement impressions to satisfy guaranteed demand and a second portion of advertisement impressions to satisfy nonguaranteed demand. The data processing system includes an optimizer configured to establish a relationship between the first portion of advertisement impressions and the second portion of advertisement impressions. The relationship defines a range of proportions of allocation of the first portion and the second portion. The optimizer generates a solution maximizing guaranteed demand fairness, non-guaranteed demand revenue, and click value. The solution identifies a determined proportion of the first portion of advertisement impressions to serve and a determined proportion of the second portion of advertisement impressions to serve. The data processing system outputs the allocation plan to control serving of the advertisement impressions.

8554621, Oct 8, 2013

Mar 17, 2010

12/726149

Erik Vee - San Mateo CA, US
Jayavel Shanmugasundaram - Santa Clara CA, US
Long Ji Lin - San Jose CA, US
Peiji Chen - Saratoga CA, US
Datong Chen - Santa Clara CA, US
Qi He - San Jose CA, US

Yahoo! Inc. - Irvine CA

G06Q 30/00

705 1445

Techniques are described herein for using an impression-trend technique to provide a display advertising supply forecast. A display advertising supply forecast is an estimate of a number of impressions, which are to occur in a future time period, that have specified attribute values. For example, the specified attribute values may be descriptive of impressions with respect to which an advertiser wishes to place ads. An impression-trend technique is a forecasting technique that uses trends regarding past impressions to forecast a number of future impressions that have specified attribute values. The past impressions include attribute values that are related to the specified attribute values.

20080256037, Oct 16, 2008

Apr 12, 2007

11/734300

Sihem Amer Yahia - New York NY, US
Lin Guo - Mountainview CA, US
Raghu Ramakrishnan - Los Altos CA, US
Jayavel Shanmugasundaram - Santa Clara CA, US
Utkarsh Srivastava - Santa Clara CA, US
Andrew Tomkins - San Jose CA, US
Erik Vee - San Jose CA, US

G06F 17/30

707 3

A system for generating an ordered list. The system may include a query engine and an advertisement engine. The query engine receives a query from the user and determines parameters to match with the advertisement. The advertisement engine receives the parameters and generates a list of items based on the parameters. The system may function in a precompute mode to calculate intervals for each available item to minimize the variable processing costs for each item. Further, the number of intervals a crossed item may be selected in a manner to satisfy a given space constraint. By characterizing each item by a minimum price within each interval, the system can quickly query the interval matching the desired quantity for each item and determined if the minimum price for that interval is less than the top-k prices already included in the list.