Patents by Inventor Jingfeng Li

Jingfeng Li has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 8244701
    Abstract: Systems and methods for applying user behavior data to improve search query result ranking are provided. Upon receiving an update file indicating that recent, significant user behavior data is available for a document associated with an inverted index, the update file is published periodically and frequently to an index server. After filtering out the relevant update information from the update file, the index server extracts identifiers of the documents having the associated user behavior data. The update file and the identifier of the documents are utilized to update an in-memory index containing representations of metadata indicative of the user behavior. The in-memory index is continuously updated and utilized to serve search query results in response to user search queries. Search query results from the in-memory index are ranked using the user behavior data prior to serving. Thus, results associated with recent, significant user-behavior metadata receive prominent placement on the search results page.
    Type: Grant
    Filed: June 27, 2011
    Date of Patent: August 14, 2012
    Assignee: Microsoft Corporation
    Inventors: Walter Sun, Jay Kumar Goyal, Pratibha Permandla, Yinzhe Yu, Jingfeng Li
  • Publication number: 20120150833
    Abstract: Methods, systems, and computer-readable media are provided for updating a search index with new uniform resource locators (URLs) and with metadata for new and known URLs. Data associated with communications made by users using a social network is received. The communications include a URL therein that a user has shared, posted, or otherwise communicated to one or more other users using the social network. When the URL is not found in a search index it is identified as a new URL and is added to the search index. A measure of a trending interest, or virality, of the URL is determined from the data. The determined virality is associated with the URL in a search index as metadata. The virality is useable to inform a ranking of the URL against a plurality of other URLs for identification and presentation as a search result in a search engine results page.
    Type: Application
    Filed: August 2, 2011
    Publication date: June 14, 2012
    Applicant: Microsoft Corporation
    Inventors: Sasi Parthasarathy, Junaid Ahmed, Walter Sun, Jingfeng Li, Paul Alexander Dow, Yajie Siamwalla
  • Publication number: 20110295844
    Abstract: Methods, systems, and computer-storage media for improving the freshness, or the apparent freshness, of search results are described. In an embodiment, the first portion of search results presented on a search results page are based on responsiveness to the search query and a second portion of results describe only recently published documents that are responsive to the search query. In an embodiment, a more recent version of the document, which is not directly used to determine responsiveness, is used to build the caption for a search result. Another way to make search results appear fresh is to include a publication time within the search result caption. In one embodiment, the publication time is generated by calculating a point in time between when a document is first added to a search index and the previous time the search engine visited the site where the document was found.
    Type: Application
    Filed: May 27, 2010
    Publication date: December 1, 2011
    Applicant: MICROSOFT CORPORATION
    Inventors: WALTER SUN, THOMAS ARTHUR LEDBETTER, VINAY SUDHIR DESHPANDE, YINZHE YU, LIN GUO, ABHISHEK SINGH, JUNAID AHMED, JAY KUMAR GOYAL, JINGFENG LI, BRAHM KIRAN SINGH
  • Publication number: 20110258198
    Abstract: Systems and methods for applying user behavior data to improve serach query result ranking are provided. Upon receiving an update file indicating that recent, significant user behavior data is available for a document associated with an inverted index, the update file is published periodically and frequently to an index server. After filtering out the relevant update information from the update file, the index server extracts identifiers of the documents having the associated user behavior data. The update file and the identifier of the documents are utilized to update an in-memory index containing representations of metadata indicative of the user behavior. The in-memory index is continuously updated and utilized to serve search query results in response to user search queries. Search query results from the in-memory index are ranked using the user behavior data prior to serving. Thus, results associated with recent, significant user-behavior metadata receive prominent placement on the search results page.
    Type: Application
    Filed: June 27, 2011
    Publication date: October 20, 2011
    Applicant: MICROSOFT CORPORATION
    Inventors: WALTER SUN, JAY KUMAR GOYAL, PRATIBHA PERMANDLA, YINZHE YU, JINGFENG LI
  • Publication number: 20050064406
    Abstract: A method for high-throughput analysis of genomic material originating from complex biological systems, including complex microbial systems and a method of detecting changes in a genomic material using restriction site tagged (RST) microarrays and sequence passporting technique (in particular microarrays containing NotI-clones). Using the present invention method, methylation or silencing of specific alleles, homozygous and hemizygous deletions, epigenetic factors, genetic predisposition, etc, information which is particularly useful in diagnosis and treatment of cancer diseases, can be detected. The RST microarrays and passporting can also be used for qualitative and quantitative analysis of complex microbial systems.
    Type: Application
    Filed: April 22, 2002
    Publication date: March 24, 2005
    Inventors: Eugene Zabarovsky, Ingemar Ernberg, Jingfeng Li, Alexei Protopopov, Claes Wahlestedt, Vladimir Kashuba, Veronika Zabarovska