Microsoft Technology Licensing, LLC

Yahoo! Inc.

Linkedin Corporation

24/7 Customer, Inc.

Prabhakaran Krishnamoorthy

Uday Sankar Sen

Sourabh Chaki

Neha Verma

Methods, systems and computer program products are provided for computing relative score and enhancing one or more scores associated with data objects. In one method, the method receives, at a computing system, one or more data objects from a user. The method further extracts one or more internal and external parameters based on the one or more data objects. Subsequently, the method compares data objects of the user with corresponding data objects of one or more competing users, based at least in part on the one or more extracted parameters and the requirement included in the data object of the user. Further, in some embodiments, the data objects and requirements of the user are also compared with the corresponding data objects and requirements of one or more complementary users, based at least in part on the one or more extracted parameters. The method further computes one or more scores associated with the data objects based at least in part on the at least one of the comparison of the one or more data objects of the user with the corresponding data objects of one or more competing users and/or the one or more extracted parameters. The method may also provide feedback to the user, where the feedback is directed to enhance the one or more computed scores associated with the data objects.

System and method for finding relative score and enhancing one or more scores associated with data objects

Methods, systems and computer program products are provided for requirement feasibility scoring based on a data object and a social network website. In one method, one or more computing devices receive, over a network, a data object that is associated with a user and that includes a requirement. The computers obtain information from a social network website. The computers calculate, based on the data object and the information from the social network website, a score that indicates a likelihood of satisfying the requirement. The computers send the score over the network to a computing device of the user.

Requirement feasibility scoring based on data object and social network website

A computer implemented method and an apparatus for determining user browsing behavior are provided. One or more web pages corresponding to a web domain are configured by associating the one or more web pages with tags. A control file is downloaded on a user device when a first web page access by a user to a tagged web page from among the one or more tagged web pages is detected. The control file facilitates recording of user activity related to a web domain on one or more tabs of a web browser associated with the user device. Recorded user activity corresponding to at least one web browsing session is received and user browsing behavior is determined based on the recorded user activity.

Method and apparatus for determining user browsing behavior

Methods, systems and computer program products are provided for generating a feasibility score for a job search and for generating a suggestion for enhancing the score. In one method, one or more computing devices receive, over a network, a data object that is associated with a user who is engaged in a search for employment. The data object includes a r&#xe9;sum&#xe9; of the user and a requirement that is associated with the search. The computers calculate, based on the data object, a score that indicates a likelihood of receiving an offer for an employment position that satisfies the requirement. The computers generate a suggestion that identifies how the score may be increased. The computers send the suggestion over the network to a computing device of the user.

Score and suggestion generation for a job seeker where the score includes an estimated duration until the job seeker receives a job offer

Techniques are provided which include obtaining, from a user, a query for review or purchase information from users in a social network of the user, relating to a product, service or brand that, for example, the user may be considering or intending to purchase. Based at least in part on the query, review or purchase information is obtained from multiple users in a social network of the user, relating to the product, service or brand, and this information is used in formulating a reply to the user. Collected information may also be used in advertising targeted to the user.

Growing community of inventors

Bengaluru, India

Prabhakaran Krishnamoorthy