Lawrence W Shih, 50625 84Th Ave NE, Medina, WA 98039

7953741, May 31, 2011

Oct 18, 2007

11/874893

Lawrence Wen-Kai Shih - Mountain View CA, US
Adam Sah - Santa Cruz CA, US
Daniel S. Tarlow - Toronto, CA
Beverly Yang - Cupertino CA, US
Ryohei Takahashi - Mountain View CA, US
Christopher Rohrs - Mountain View CA, US

Google Inc. - Mountain View CA

G06F 17/30

707751, 707732

Methods, systems, and apparatus, including computer program products, for ranking resources. One or more signals reporting one or more actions by the plurality of users related to a respective resource are received, where a reported action is a presentation of the respective resource, an addition of the respective resource, or a deletion of the respective resource. The reported actions include one or more short deletions of the respective resource. A respective long-addition click-through rate (LACTR) is determined for the respective resource based on a number of reported presentations of the respective resource and a difference between a number of reported additions of the respective resource and a number of short deletions of the respective resource. The plurality of resources are ranked based on the respective LACTRs for the plurality of resources. The ranking of the plurality of resources are provided.

7984049, Jul 19, 2011

Oct 18, 2007

11/874888

Lawrence Wen-Kai Shih - Mountain View CA, US
Adam Sah - Santa Cruz CA, US
Daniel S. Tarlow - Toronto, CA
Beverly Yang - Cupertino CA, US
Ryohei Takahashi - Mountain View CA, US
Christopher Rohrs - Mountain View CA, US

Google Inc. - Mountain View CA

G06F 17/30
G06F 7/00

707734

Methods, systems, and apparatus, including computer program products, for providing ranking services. In one aspect, first signals are received from a first subscriber, and second signals are received from a second subscriber. The signals include information characterizing individual user actions relating to individual ones of first or second resources, respectively, values for one or more predefined parameters, and values for one or more first subscriber-specific parameters that are specific to the first or second subscriber, respectively. First ranking data is generated from the first signals, but not from values for any subscriber-specific parameter that is not a subscriber-specific parameter for the first subscriber. Second ranking data is generated from the second signals, but not from values for any subscriber-specific parameter that is not a subscriber-specific parameter for the second subscriber.

8180782, May 15, 2012

May 9, 2011

13/103651

Lawrence Wen-Kai Shih - Kirkland WA, US
Adam Sah - San Francisco CA, US
Daniel S. Tarlow - Toronto CA, US
Beverly Yang - Mountain View CA, US
Ryohei Takahashi - Mountain View CA, US
Christopher H. Rohrs - New York NY, US

Google Inc. - Mountain View CA

G06F 17/30

707751, 707748

Methods, systems, and apparatus, including computer program products, for ranking resources. One or more signals reporting one or more actions by the plurality of users related to a respective resource are received, where a reported action is a presentation of the respective resource, an addition of the respective resource, or a deletion of the respective resource. The reported actions include one or more short deletions of the respective resource. A respective long-addition click-through rate (LACTR) is determined for the respective resource based on a number of reported presentations of the respective resource and a difference between a number of reported additions of the respective resource and a number of short deletions of the respective resource. The plurality of resources are ranked based on the respective LACTRs for the plurality of resources. The ranking of the plurality of resources are provided.

8271338, Sep 18, 2012

Sep 18, 2009

12/562741

Neil Duncan Hunt - Mountain View CA, US
Stanley Miguel Lanning - La Honda CA, US
W. Reed Hastings - Santa Cruz CA, US
Shawn Michael Purcell - Palo Alto CA, US
Lawrence Wen-Kai Shih - San Jose CA, US
John Robert Ciancutti - Saratoga CA, US

Netflix, Inc. - Los Gatos CA

G06Q 30/00

705 26, 705 27

According to an embodiment of the invention, an approach is provided for estimating how a particular user would rate a particular item from a plurality of items. The approach is applicable to any type of items, including rental items such as movies, music and games, and the invention is not limited to any particular type of item. One or more items from the plurality of items that have ratings similar to the particular item are identified. One or more other users are identified that have given ratings to the one or more items that are substantially similar to ratings given by the particular user to the one or more items. An estimation is made of how the particular user would rate the particular item based upon ratings for the particular item given by the one or more other users.

8312004, Nov 13, 2012

Oct 18, 2007

11/874889

Lawrence Wen-Kai Shih - Mountain View CA, US
Adam Sah - Santa Cruz CA, US
Daniel S. Tarlow - Toronto, CA
Beverly Yang - Cupertino CA, US
Ryohei Takahashi - Mountain View CA, US
Christopher Rohrs - Mountain View CA, US

Google Inc. - Mountain View CA

G06F 7/00

707713, 707708

Methods, systems, and apparatus, including computer program products, for exchanging information in accordance with a protocol. In one aspect, signals reporting user actions related to resources and ranking data ranking the resources based on the signals are exchanged in accordance with a protocol. The protocol defines types of user actions that can be reported by the signals, a format for specifying values for one or more of a set of predefined parameters for qualifying the user actions, a format for specifying one or more subscriber-specific parameters relating to the resources or the user actions, and a format for identifying resources to which the user actions are related using a namespace defined by the subscriber.

8468197, Jun 18, 2013

Jun 16, 2011

13/162031

Lawrence Wen-Kai Shih - Kirkland WA, US
Adam Sah - San Francisco CA, US
Daniel S. Tarlow - Toronto, CA
Beverly Yang - Mountain View CA, US
Ryohei Takahashi - Mountain View CA, US
Christopher H. Rohrs - New York NY, US

Google Inc. - Mountain View CA

G06F 15/16
G06F 7/00
G06F 17/30

709203, 707734

Methods, systems, and apparatus, including computer program products, for ranking resources. One or more signals reporting one or more actions by the plurality of users related to a respective resource are received, where a reported action is a presentation of the respective resource, an addition of the respective resource, or a deletion of the respective resource. The reported actions include one or more short deletions of the respective resource. A respective long-addition click-through rate (LACTR) is determined for the respective resource based on a number of reported presentations of the respective resource and a difference between a number of reported additions of the respective resource and a number of short deletions of the respective resource. The plurality of resources are ranked based on the respective LACTRs for the plurality of resources. The ranking of the plurality of resources are provided.

8484343, Jul 9, 2013

Jun 12, 2012

13/494828

Lawrence Wen-Kai Shih - Mountain View CA, US
Adam Sah - San Francisco CA, US
Daniel S. Tarlow - Toronto, CA
Beverly Yang - Mountain View CA, US
Ryohei Takahashi - Mountain View CA, US
Christopher Rohrs - Mountain View CA, US

Google Inc. - Mountain View CA

G06F 15/173
G06F 17/30
G06Q 30/00

709224, 707737, 705 268

Methods, systems, and apparatus, including computer program products, for ranking resources. One or more signals reporting one or more actions by the plurality of users related to a respective resource are received, where a reported action is a presentation of the respective resource, an addition of the respective resource, or a deletion of the respective resource. The reported actions include one or more short deletions of the respective resource. A respective long-addition click-through rate (LACTR) is determined for the respective resource based on a number of reported presentations of the respective resource and a difference between a number of reported additions of the respective resource and a number of short deletions of the respective resource. The plurality of resources are ranked based on the respective LACTRs for the plurality of resources. The ranking of the plurality of resources are provided.

2005012, Jun 9, 2005

Feb 6, 2004

10/773843

Neil Hunt - Mountain View CA, US
Stanley Lanning - La Honda CA, US
W. Hastings - Santa Cruz CA, US
Shawn Purcell - Palo Alto CA, US
Lawrence Shih - San Jose CA, US
John Ciancutti - Saratoga CA, US

G06F017/60

705026000, 705010000

According to another embodiment of the invention, an approach is provided for estimating how a particular user would rate a particular item from a plurality of items. The approach is applicable to any type of items, including rental items such as movies, music and games, and the invention is not limited to any particular type of item. One or more items from the plurality of items that have ratings similar to the particular item are identified. Then, one or more other users are identified that have given ratings to the one or more items that are substantially similar to ratings given by the particular user to the one or more items. Finally, an estimation is made of how the particular user would rate the particular item based upon ratings for the particular item given by the one or more other users.