Xiaobing Han, 563219 Michelangelo Dr, San Jose, CA 95135

8595633, Nov 26, 2013

Oct 31, 2005

11/264366

Aytek Esen Celik - Mountain View CA, US
Xiaobing Han - San Jose CA, US

Yahoo! Inc. - Sunnyvale CA

G06F 3/00
H04N 7/10
G06F 11/00

715760, 715205, 715808, 715823, 725 35, 705 12

A method is disclosed for providing advertising content for display in a page over a network. A plurality of advertisements are determined that are qualified for display at a location in the page. When an advertiser has stores located at a plurality of geographic sites, only one advertisement for a store located at a first geographic site may be displayed. Thereafter, the advertisement for a store located at a second geographic site different from the first geographic site may be displayed.

2013028, Oct 24, 2013

Apr 18, 2012

13/449568

Shenhong Zhu - Santa Clara CA, US
Jim Gan - Cupertino CA, US
Hang Su - Sunnyvale CA, US
Xiaobing Han - San Jose CA, US
Ethan Batraski - Foster City CA, US

YAHOO! INC. - Sunnyvale CA

G06F 17/30

707723, 707767, 707E17014, 707E17066

Method, system, and programs for intent-based search assistance are disclosed. Intent information associated with a query entered by a user is first collected. The intent information includes one or more intents. The collected intent information is then associated with annotation information to generate annotated intent information for the query. In response to the user entering the query, a query suggestion is determined from a plurality of query suggestions. Content is then provided to the user at real-time based on the determined query suggestion and the annotated intent information for the query.

2013028, Oct 24, 2013

Apr 23, 2012

13/452998

Zhongqian Chen - San Jose CA, US
Xiaobing Han - San Jose CA, US
Hui Wu - Fremont CA, US
Hang Su - Sunnyvale CA, US
Shenghong Zhu - Santa Clara CA, US

Yahoo! Inc. - Sunnyvale CA

G06F 9/46
G06F 11/14

714 16, 718103, 714E11114

Methods, systems, and programming for distributing tasks to a network of machines are disclosed. A plurality of tasks is received, each task having an associated priority level. Each of the plurality of tasks is assigned to a priority line of a plurality of priority lines based on the associated priority level of each of the plurality of tasks. A distribution strategy is determined for the plurality of tasks based on an analysis of at least one worker machine. A group of tasks is scheduled from the plurality of priority lines to a gateway line based on the distribution strategy. Tasks are pushed from the gateway line to the at least one worker machine to process the tasks. The progress of tasks processed by worker machines is monitored and results of tasks are fetched and delivered to users of user devices.

2013028, Oct 24, 2013

Apr 23, 2012

13/453007

Hui Wu - Fremont CA, US
Zhongqiang Chen - San Jose CA, US
Shenhong Zhu - Santa Clara CA, US
Xiaobing Han - San Jose CA, US
Hang Su - Sunnyvale CA, US

YAHOO! INC. - Sunnyvale CA

G06F 17/00

715205

Methods, systems, and programming for refreshing web page URL snapshots are disclosed. A plurality of URLs is received. URLs from the plurality of URLs are selected to schedule for refreshment of snapshots corresponding to web pages associated with the URLs. A plurality of snapshots is generated, each snapshot associated with a corresponding URL of the selected URLs scheduled for refreshment. The plurality of snapshots is provided for display, wherein each snapshot is a viewable and actionable link to the corresponding URL the snapshot is associated with.

2013028, Oct 24, 2013

Apr 23, 2012

13/452985

Hui Wu - Fremont CA, US
Shenhong Zhu - Santa Clara CA, US
Xiangli Kong - Beijing, CN
Hang Su - Sunnyvale CA, US
Xiaobing Han - San Jose CA, US
Zhongqiang Chen - San Jose CA, US

YAHOO! INC. - Sunnyvale CA

G06F 17/00

715207

Methods, systems, and programming for providing web page snapshots are disclosed. A URL is received. A snapshot of the web page associated with the URL is generated. A plurality of features is extracted from the snapshot. A determination is made regarding whether the snapshot is high quality based on the plurality of extracted features of the snapshot. The generated snapshot is provided as a viewable and actionable link to the URL.

2017009, Apr 6, 2017

Oct 5, 2015

14/875034

- Sunnyvale CA, US
Chun Ming Sze - Fremont CA, US
Hang Su - Vienna VA, US
Huming Wu - San Jose CA, US
Hui Wu - Sunnyvale CA, US
Jiuhe Gan - Cupertino CA, US
Xiaobing Han - San Jose CA, US
Mingtian Liu - San Jose CA, US
Yuan Zhang - Milpitas CA, US
Scott Gaffney - Palo Alto CA, US

G06F 17/30

The present teaching, which includes methods, systems and computer-readable media, relates to providing query suggestions based on multiple data sources including at least person's personal data. The disclosed techniques may include receiving an input from a person, obtaining one or more suggestions based on a person corpus derived from at least one data source private to the person, and presenting at least the one or more suggestions.

2017009, Apr 6, 2017

Oct 5, 2015

14/874996

- Sunnyvale CA, US
Chun Ming Sze - Fremont CA, US
Hang Su - Vienna VA, US
Huming Wu - San Jose CA, US
Hui Wu - Sunnyvale CA, US
Jiuhe Gan - Cupertino CA, US
Xiaobing Han - San Jose CA, US
Mingtian Liu - San Jose CA, US
Yuan Zhang - Milpitas CA, US
Scott Gaffney - Palo Alto CA, US

G06F 17/30

The present teaching, which includes methods, systems and computer-readable media, relates to providing query suggestions based on a number of data sources including person's personal data and non-personal data. The disclosed techniques may include receiving an input from a person, obtaining a first set of suggestions based on information from a first data source, presenting the first set of suggestions to the person, and presenting, to the person, a second set of suggestions obtained from a person corpus when a portion of the person corpus relevant to the input is accessible. The person corpus may be from a second data source that is private to the person.

2017009, Apr 6, 2017

Oct 5, 2015

14/875072

- Sunnyvale CA, US
Chun Ming Sze - Fremont CA, US
Hang Su - Vienna VA, US
Huming Wu - San Jose CA, US
Hui Wu - Sunnyvale CA, US
Jiuhe Gan - Cupertino CA, US
Xiaobing Han - San Jose CA, US
Mingtian Liu - San Jose CA, US
Yuan Zhang - Milpitas CA, US
Scott Gaffney - Palo Alto CA, US

G06F 17/30

The present teaching, which includes methods, systems and computer-readable media, relates to providing query suggestions based on a number of data sources that include person's personal data and non-personal data. The disclosed techniques may include receiving an input from a person, obtaining a first set of suggestions based on a person corpus derived from at least one data source private to the person, obtaining a second set of suggestions based on information from an additional data source, ranking the first and second sets of suggestions to generate a ranked list of suggestions, and presenting at least some of the ranked suggestions.