Yahoo! Inc.

Microsoft Technology Licensing, LLC

Chad Carson

Douglas Wesley Cook

Jan O Pedersen

Dmitri Pavlovski

Ho John Lee

Mohan V Nibhanupudi

Robert Meyers

David Cho-Lun Ku

Omar Rogelio Alonso

Arkady Borkovsky

Marco J Zagha

Karen Shiells

Peter Bailey

Scott Joseph Counts

Michael Ching

Nikhil Dandekar

Ashvin Kannan

Shubha Umesh Nabar

Rukmini Iyer

Erick Cantu-Paz

Pero Subasic

Christopher C LuVogt

Christopher John Leggetter

Hyun-Ju Seo

Kalpana Ravinarayanan

Paul Alexander Dow

Shuang Guo

Aditya Pal

The described implementations relate to communication platforms that are provided over computer networks. One implementation provides a system that can include a storage component configured to store a plurality of communications having a common connector. The system can also include a score computation component that is configured to compute scores reflecting semantic relationships between individual communications from the plurality of communications. The system can also include a summary generation component that is configured to select one or more of the individual communications, based on the scores, and generate a summary of the common connector. The summary can represent the selected individual communications. The system can also include at least one processor configured to execute one or more of the components.

System and method for generating social summaries

The author ranking technique described herein is a technique to rank authors in social media systems along various dimensions, using a variety of statistical methods for utilizing those dimensions. More particularly, the technique ranks authors in social media systems through a combination of statistical techniques that leverage usage metrics, and social and topical graph characteristics. In various exemplary embodiments, the technique can rank author authority by the following: 1) temporal analysis of link sharing in which authority is computed based on a user's propensity to provide early links to web pages that subsequently become popular; 2) topical authority based on the author's links and content updates in specific topic areas; and 3) popularity and influence based on nodal properties of authors.

Ranking authors in social media systems

Techniques are provided for generating descriptions of matching resources in a manner that takes into account the kind, quality, and relevance of the available sources of information about the matching resources. For example, after the search engine identifies matching resources based on the query terms, the search engine determines the kinds of available sources of information about each matching resource. For each matching resource, based on the kinds of available sources of information about the matching resource, one of a plurality of processes is selected to generate a description for the matching resource. Using the content-sensitive description generation techniques described herein, a single result set may include abstracts that were generated using several different processes, where the difference in process corresponds to a difference in the kind, quality, and relevance of the available sources of information about each matching resource.

Generating descriptions of matching resources based on the kind, quality, and relevance of available sources of information about the matching resources

The present invention is directed towards systems and methods for determining the performance of a plurality of versions of a given advertisement. The method of the present invention comprises retrieving a first version of an advertisement and associated click through data, and retrieving a second version of the advertisement and associated click through data. A clickability score is calculated for the first version of the advertisement using the click through data associated with the first version, and a clickability score is calculated for the second version of the advertisement using the click through data associated with the second version. A difference in clickability scores is determined between the first and second advertisement. The clickability score associated with the first version of the advertisement is modified based upon the difference in clickability scores.

System and method for discounting of historical click through data for multiple versions of an advertisement

The present invention is directed towards systems and methods for ranking one or more advertisements. The method of the present invention comprises retrieving a result set comprising one or more advertisements responsive to a request. A clickability score is calculated for the one or more advertisements comprising the result set. An expected revenue value is calculated for the one or more advertisements using the clickability scores of the one or more advertisements as well as an indication of revenue associated with the one or more advertisements. The one or more advertisements are ordered according to the expected revenue of the one or more advertisements.

System and method for revenue based advertisement placement

A method and apparatus for generating a list of candidate alternative spellings is provided. Among a plurality of files, a first file, which contains a link that indicates a user-entered spelling, is found. The link links to a second file. A second spelling, which is spelled similarly to, but not exactly the same as, the first spelling, is located within the second file. The second spelling is added to a list of candidate alternative spellings of the first spelling. The second spelling does not need to be contained in any result field (e.g., title, abstract, or URL) that is associated with the second file.

Suggesting an alternative to the spelling of a search query

The present invention is directed towards systems and methods for predicting a frequency with which an advertisement displayed in response to a query will be selected. The method of the present invention comprises receiving analytics data associated with a display of one or more advertisements in response to one or more queries. One or more features associated with the one or more advertisements displayed in response to the one or more queries are identified. One or more functions are generated for predicting a frequency with which a given advertisement displayed in response to a query will be selected using the analytics data and features associated with the one or more advertisements displayed in response to the one or more queries.

System and method for generating functions to predict the clickability of advertisements

Techniques are provided for generating search results that include, instead of or in addition to the traditional abstract links, other links to content that the user of a search engine may consider helpful. These other links are referred to herein as 'non-traditional abstract links'. In general, the search engine generates non-traditional abstract links that attempt to anticipate the 'next move' by the search engine user. By selecting a non-traditional abstract link from the abstract of a matching resource, the user is able to navigate from the search result listing directly to locations other than the top of a matching resource.

Active Abstracts

A method and apparatus for suggesting an alternative spelling for a search query is provided. A request to search for files that match the search query is received. The alternative spelling is selected based on a set of factors. According to one aspect, the set of factors includes how frequently the alternative spelling occurs in a plurality of files. According to one aspect, the set of factors includes how frequently the alternative spelling occurs in one or more previously received requests to search for files.

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Cupertino, CA, United States of America

Chad Carson