Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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 résumé 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.

Abstract: 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 résumé 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.

Abstract: 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.

Abstract: 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.

Abstract: Techniques are provided that relate to social and communications impact relating to advertising. Techniques are provided that include tracking information relating to an online advertisement served to a user, communications between the ser and one or more other users in the user's social network relating to the advertisement or a subject of the advertisement, and online or offline behavior of the other users in connection with one or more objectives of the online advertisement. The tracked information is used in assessing the impact of the advertising on the other users, which assessment can be used in advertisement campaign optimization.

Abstract: Techniques are provided in which review, comment, or purchase information is obtained, associated with a first user and relating to a product or service, product or service type, or brand. A second user is identified who is in an explicit or implicit social network of the first user. An online advertisement is generated, targeted to a second user and relating to the first product or service, product or service type, or brand. The online advertisement is generated utilizing the review, comment, or purchase information, which may serve as a trusted implicit or explicit recommendation regarding a subject of the advertisement.

Abstract: 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.

Abstract: A method and a system for a user-initiated vendor search are described. In one aspect, the system includes a mechanism for collecting purchase solicitations from the buyers and sale solicitations from the sellers. The purchase solicitations include information about the products/services sought by the buyers, while the sale solicitations include information about the products/services offered by the sellers to the buyers. In one aspect, upon receiving a purchase solicitation from a buyer, the system attempts to accommodate the request by matching the request for the products/services with the offers of the products/services offered by the sellers. Similarly, upon receiving a sale solicitation from a seller, the system provides the matching offers of the products/services the products/services sought by the buyers. The solicitations and the matches are advertised to the sellers and to the buyers using various schemes and schedules.