Abstract: Bid values submitted for various keywords can take into account the recovery propensity between paid search and organic search. When submitting a bid to a search engine provider for a keyword, an entity may get a certain level of performance in return. If not submitting a bid, however, the entity will likely still get some level of performance, although likely less than for paid search. In order to optimize for a parameter such as impressions, purchases, or profit, the recovery propensity can be taken into account in order to adjust the bid price, taking into account the relative performance of paid and organic search and then optimizing for the determined goal. Organic search data in some embodiments can be obtained through testing or modeling, or a combination thereof.

Abstract: Methods and apparatus for analysis of semi-structured social media are described. A method comprises classifying a plurality of user-generated content entries into a plurality of categories based at least in part on an analysis of respective structured components of at least a subset of the plurality of entries. The method further includes determining, based at least in part on an analysis of additional components of entries of a particular category, a set of representative content elements of entries of the particular category, and generating a report that comprises one or more representative content elements of the particular category.

Abstract: Techniques for predicting success rates for online search terms based on offline advertising are described herein. The techniques enable marketers to determine appropriate values for online search terms based on their predicted success rates. By so doing, marketers may decide whether to pay online search engines for preferences of their website in response to a search using these online search terms.

Abstract: Methods and apparatus for analysis of semi-structured social media are described. A method comprises classifying a plurality of user-generated content entries into a plurality of categories based at least in part on an analysis of respective structured components of at least a subset of the plurality of entries. The method further includes determining, based at least in part on an analysis of additional components of entries of a particular category, a set of representative content elements of entries of the particular category, and generating a report that comprises one or more representative content elements of the particular category.

Abstract: Methods and apparatus for a predictive tool utilizing correlations with unmeasured factors influencing marketing activities are described. A method comprises determining a set of measurable factors with which decisions to perform a type of marketing activity are correlated, and a set of measurable factors with which a category of entity results is correlated. The method includes generating, using the sets of measurable factors, a model configured to predict probabilities of results of the category of results. The prediction is based on a correlation determined between unmeasured factors represented in the model as influencing the category of results, and one or more unmeasured factors represented in the model as influencing decisions on implementing the type of marketing activity. The method comprises using the model to predict the probability of a particular entity result.

Abstract: The present invention is directed towards systems and method for generating a bid amount for one or more keywords for a display of an advertisement associated with a given keyword. The method comprises calculating estimates of one or more advertising metrics for one or more keywords associated with one or more advertisements displayed at one or more positions. Target positions are identified for the one or more keywords at which a return on investment earned by the display of one or more advertisements in response to a query that matches a given keyword exceeds a threshold by a given probability on the basis of the estimates to select a given target position that provides a greatest estimated profit. Bid amounts are generated for the one or more keywords in order to obtain the display of associated advertisements at the given target position.

Abstract: The present invention is directed towards systems and methods for generating bids for one or more keywords and advertisement groups. The method of the present invention comprises generating a data set with one or more entries, a given entry identifying one or more advertising metric values associated with an advertisement group and keyword. One or more keywords are selected from the one or more entries in the data set, and a bid is generated for the one or more selected keywords using the one or more advertising metric values associated with the one or more selected keywords. The one or more advertising metric values of the one or more entries associated with a given advertisement group exclusive of the one or more advertising metric values associated with the one or more selected keywords is aggregated. A bid is generated for the one or more advertisement groups using the one or more aggregated advertising metric values associated with the one or more advertisement groups.

Abstract: A system and method for exchanging a transformed message with enhanced privacy is presented. A set of input messages is defined. A set of output messages is defined. A message is selected from the input messages set. One or more words in the selected message are efficiently transformed directly into a transformed message different from the selected message, wherein the transformed message belongs to the set of output messages, at least one component of the selected message is recoverable from the transformed message, and the cost of determining whether the transformed message belongs to the input messages set or the output messages set exceeds a defined threshold.

Abstract: The present invention is directed towards systems and method for generating a bid amount for one or more keywords for a display of an advertisement associated with a given keyword. The method comprises calculating estimates of one or more advertising metrics for one or more keywords associated with one or more advertisements displayed at one or more positions. Target positions are identified for the one or more keywords at which a return on investment earned by the display of one or more advertisements in response to a query that matches a given keyword exceeds a threshold by a given probability on the basis of the estimates to select a given target position that provides a greatest estimated profit. Bid amounts are generated for the one or more keywords in order to obtain the display of associated advertisements at the given target position.

Abstract: The present invention is directed towards systems and methods for generating bids for one or more keywords and advertisement groups. The method of the present invention comprises generating a data set with one or more entries, a given entry identifying one or more advertising metric values associated with an advertisement group and keyword. One or more keywords are selected from the one or more entries in the data set, and a bid is generated for the one or more selected keywords using the one or more advertising metric values associated with the one or more selected keywords. The one or more advertising metric values of the one or more entries associated with a given advertisement group exclusive of the one or more advertising metric values associated with the one or more selected keywords is aggregated. A bid is generated for the one or more advertisement groups using the one or more aggregated advertising metric values associated with the one or more advertisement groups.