Li Li

6990080, Jan 24, 2006

Aug 7, 2001

09/925846

Paramvir Bahl - Issaquah WA, US
Li Li - Iselin NJ, US
Yi-Min Wang - Bellevue WA, US
Roger P. Wattenhofer - Kirkland WA, US

Microsoft Corporation - Redmond WA

H04L 12/28

370254

The following description provides direction-based topology control to a distributed wireless multi-hop network. The network includes multiple potentially mobile nodes. Each node sends a discovery message in all directions. Each node discovers a set of neighboring nodes using a set of incoming signals from the neighboring nodes that are responsive to the discovery message. Responsive to receiving the incoming messages, each node makes a local decision about a substantially optimal transmission power with which to communicate with at least a portion of the discovered neighboring nodes. The decisions are based on the incoming signals and are also independent of positional information (e. g. , latitude and longitude). Each node in the network maintains communications with the decided portion of nodes to provide connectivity between each of the nodes.

7260568, Aug 21, 2007

Apr 15, 2004

10/826162

Benyu Zhang - Beijing, CN
Hua-Jun Zeng - Beijing, CN
Zheng Chen - Beijing, CN
Wei-Ying Ma - Beijing, CN
Li Li - Kirkland WA, US
Ying Li - Bellevue WA, US
Tarek Najm - Kirkland WA, US

Microsoft Corporation - Redmond WA

G06F 17/30

707 3, 707 4, 707 5

Systems and methods for verifying relevance between terms and Web site contents are described. In one aspect, site contents from a bid URL are retrieved. Expanded term(s) semantically and/or contextually related to bid term(s) are calculated. Content similarity and expanded similarity measurements are calculated from respective combinations of the bid term(s), the site contents, and the expanded terms. Category similarity measurements between the expanded terms and the site contents are determined in view of a trained similarity classifier. The trained similarity classifier having been trained from mined web site content associated with directory data. A confidence value providing an objective measure of relevance between the bid term(s) and the site contents is determined from the content, expanded, and category similarity measurements evaluating the multiple similarity scores in view of a trained relevance classifier model.

7428529, Sep 23, 2008

Apr 15, 2004

10/825894

Hua-Jun Zeng - Beijing, CN
Benyu Zhang - Beijing, CN
Zheng Chen - Beijing, CN
Wei-Ying Ma - Beijing, CN
Li Li - Kirkland WA, US
Ying Li - Bellevue WA, US
Tarek Najm - Kirkland WA, US

Microsoft Corporation - Redmond WA

G06F 7/00
G06F 17/30

707 3, 707 4, 707 5, 707 6, 707 7

Systems and methods for related term suggestion are described. In one aspect, term clusters are generated as a function of calculated similarity of term vectors. Each term vector having been generated from search results associated with a set of high frequency of occurrence (FOO) historical queries previously submitted to a search engine. Responsive to receiving a term/phrase from an entity, the term/phrase is evaluated in view of terms/phrases in the term clusters to identify one or more related term suggestions.

7620914, Nov 17, 2009

May 22, 2006

11/419641

Yin Li - Redmond WA, US
Jian Sun - Beijing, CN
Li Li - Kirkland WA, US
Weiwei Zhang - Beijing, CN
Xiaoou Tang - Beijing, CN
Ying Li - Bellevue WA, US
Michael Hurt - Redmond WA, US
Eric Picard - Snohomish WA, US

Microsoft Corporation - Redmond WA

G06F 13/00
G06F 15/00

715854, 715758, 715851

A system that provides binds or associates a clickable hyperlink with an object that appears in a video stream. The hyperlink may be sent in a separate stream from the video stream, and user interfaces are provided to a user to activate the hyperlink. Activation of the hyperlink may cause a redirection to an associated website. Furthermore, feedback may be provided as to the user's activity regarding interest and activation regarding particular hyperlinks in the video.

7640309, Dec 29, 2009

Mar 7, 2005

11/074099

Li Li - Issaquah WA, US
Ying Li - Bellevue WA, US
Brian Burdick - Bellevue WA, US

Microsoft Corporation - Redmond WA

G06F 15/16
G06F 17/30

709206, 709204, 707 3

Methods for providing instant messaging capability in conjunction with an online reference is provided. In one embodiment, the method may include receiving an indication to initiate display of online content, selecting at least one reference in response to the indication, the at least one reference being associated with a source, and displaying the at least one reference in association with an instant messaging enablement indicator. If desired, the instant messaging enablement indicator may be different depending upon whether the source associated with the at least one reference is not instant messaging enabled, is instant messaging enabled but not currently online, and is instant messaging enabled and currently online. Accordingly, the method may further include determining if the source associated with the at least one selected reference is instant messaging enabled and, if so, determining if the source is currently capable of at least one of receiving and transmitting instant messages.

7653627, Jan 26, 2010

May 13, 2005

11/128788

Ying Li - Bellevue WA, US
Li Li - Issaquah WA, US
Tarek Najm - Kirkland WA, US
Xianfang Wang - Beijing, CN
Hongbin Gao - Beijing, CN
Hua-Jun Zeng - Beijing, CN
Benyu Zhang - Beijing, CN
Zheng Chen - Beijing, CN

Microsoft Corporation - Redmond WA

G06F 17/30

707 7

Systems and methods for analyzing the content of online conversations using data mining technologies are provided. Methods and systems for utilizing the results of data mining technology implementation to retrieve relevant advertising content and/or other relevant information for display in association with the content of an online conversation are also provided.

7676521, Mar 9, 2010

Mar 31, 2006

11/394089

Lee Wang - Kirkland WA, US
Li Li - Issaquah WA, US
Shuzhen Nong - Bellevue WA, US
Ying Li - Bellevue WA, US

Microsoft Corporation - Redmond WA

G06F 17/30

707751

A method and system are provided for forecasting keyword search volume. Keywords are categorized by concept and by the amount of data available for use in predicting future behavior. The keywords and/or the categories can also be categorized as seasonal or non-seasonal. A category level seasonal variation pattern can then be calculated based on keywords in the category that have sufficient historical data. A search volume can then be predicted for one or more keywords, with an appropriate calculation algorithm being selected based on the concept category, seasonal classification, and historical data available for the keywords.

7689458, Mar 30, 2010

Oct 29, 2004

10/977824

David E. Heckerman - Bellevue WA, US
David M. Chickering - Bellevue WA, US
Christopher A. Meek - Kirkland WA, US
Brian Burdick - Bellevue WA, US
Li Li - Issaquah WA, US
Murali Vajjiravel - Sammamish WA, US
Ying Li - Bellevue WA, US
Rajeev Prasad - Kirkland WA, US
Raxit A. Kagalwala - Issaquah WA, US
Tarek Najm - Kirkland WA, US
Sachin Dhawan - Redmond WA, US

Microsoft Corporation - Redmond WA

G06Q 30/00

705 1446, 705 1, 705 14, 705 26, 705 27

Systems and methods for determining the value of bids placed by content providers for placement positions on a page, e. g. , a web page, rendered according to a given context, for instance, the search results listing for a particular query initiated on a search engine web site, are provided. Additionally, systems and methods are provided for determining placement of content items, e. g. , advertisements and/or images, on a rendered page relative to other content items on the page based upon bid value.