Abstract: A system, method, and apparatus for concealing searches for information stored on public networks, includes splitting of a search query, transforming the query into one or more related queries, and searching each of related queries separately.

Abstract: A method for generating an output comprising one or more segments includes obtaining a plurality of profiles derived from unstructured data associated with a plurality of users, wherein a given one of the profiles corresponds to a respective one of the users; repetitively executing at least one machine learning technique on the plurality of profiles, each execution producing a respective set of one or more segments from the plurality of profiles; generating a complete graph by performing pairwise comparisons between sets of segments from respective executions; applying at least one persistency graph algorithm to the complete graph to find one or more coherent clusters comprising one or more segments that are persistent across the repetitive executions of the machine learning technique; and producing the output at least in part by selecting at least one of the segments from at least one of the coherent clusters.

Abstract: A method for generating an output comprising one or more segments includes obtaining a plurality of profiles derived from unstructured data associated with a plurality of users, wherein a given one of the profiles corresponds to a respective one of the users; repetitively executing at least one machine learning technique on the plurality of profiles, each execution producing a respective set of one or more segments from the plurality of profiles; generating a complete graph by performing pairwise comparisons between sets of segments from respective executions; applying at least one persistency graph algorithm to the complete graph to find one or more coherent clusters comprising one or more segments that are persistent across the repetitive executions of the machine learning technique; and producing the output at least in part by selecting at least one of the segments from at least one of the coherent clusters.

Abstract: A system, method, and apparatus for concealing searches for information stored on public networks, includes splitting of a search query, transforming the query into one or more related queries, and searching each of related queries separately.

Abstract: An aspect of the disclosure includes a method, a system and a computer program product for matching a participant with an interest group at a venue. The system including computer inputs that receive signals identifying locations of participants in a venue having sessions, the computer inputs identifying a session location for each participant. An aggregator is coupled the computer inputs and determines interests of each participant by aggregating common session characteristics with participant behavioral characteristics and ranking a degree of interests for each participant. A matcher is coupled to the aggregator receives interest group ranked lists for each interest group, the matcher further matching the interest group to the participant by matching the degree of interests for each participant to the interest group interests. A signal output is coupled to the matcher and transmits an output signal to a representative based on a relevancy parameter being above a threshold.

Abstract: A system and method for concealing searches for information stored on public networks, includes intercepting a sensitive query to a search engine prior to transmission of the sensitive query over a public network, transforming the sensitive query into one or more related queries, submitting the related queries over the public network to the search engine, aggregating search results from the search engine, and performing a search on the original query with a search engine privately against said search results.

Abstract: A method for generating an output comprising one or more segments includes obtaining a plurality of profiles derived from unstructured data associated with a plurality of users, wherein a given one of the profiles corresponds to a respective one of the users; repetitively executing at least one machine learning technique on the plurality of profiles, each execution producing a respective set of one or more segments from the plurality of profiles; generating a complete graph by performing pairwise comparisons between sets of segments from respective executions; applying at least one persistency graph algorithm to the complete graph to find one or more coherent clusters comprising one or more segments that are persistent across the repetitive executions of the machine learning technique; and producing the output at least in part by selecting at least one of the segments from at least one of the coherent clusters.

Abstract: A method for generating an output comprising one or more segments includes obtaining a plurality of profiles derived from unstructured data associated with a plurality of users, wherein a given one of the profiles corresponds to a respective one of the users; repetitively executing at least one machine learning technique on the plurality of profiles, each execution producing a respective set of one or more segments from the plurality of profiles; generating a complete graph by performing pairwise comparisons between sets of segments from respective executions; applying at least one persistency graph algorithm to the complete graph to find one or more coherent clusters comprising one or more segments that are persistent across the repetitive executions of the machine learning technique; and producing the output at least in part by selecting at least one of the segments from at least one of the coherent clusters.

Abstract: Embodiments include method, systems and computer program products for inferring user demographic groups through categorization of social media data. Aspects include receiving, by a processor, unknown user data made up of social media data and social media metadata for an unknown user. Also, aspects include analyzing the unknown user data to determine features of the unknown user data that indicate the unknown user belongs to a demographic group. Next, aspects include analyzing, via a machine learning algorithm, the features of the unknown user data to determine a confidence level for the unknown user belonging to each demographic group and updating a user demographics database based upon the confidence level for the unknown user belonging to each demographic group.

Abstract: An aspect of the disclosure includes a method, a system and a computer program product for matching a participant with an interest group at a venue. The system including computer inputs that receive signals identifying locations of participants in a venue having sessions, the computer inputs identifying a session location for each participant. An aggregator is coupled the computer inputs and determines interests of each participant by aggregating common session characteristics with participant behavioral characteristics and ranking a degree of interests for each participant. A matcher is coupled to the aggregator receives interest group ranked lists for each interest group, the matcher further matching the interest group to the participant by matching the degree of interests for each participant to the interest group interests. A signal output is coupled to the matcher and transmits an output signal to a representative based on a relevancy parameter being above a threshold.

Abstract: A system and method for concealing searches for information stored on public networks, includes intercepting a sensitive query to a search engine prior to transmission of the sensitive query over a public network, transforming the sensitive query into one or more related queries, submitting the related queries over the public network to the search engine, aggregating search results from the search engine, and performing a search on the original query with a search engine privately against said search results.

Abstract: A method for generating event profiles comprises receiving source data in a processor, extracting an attire property from the source data, extracting an event attribute from the source data, associating the attire property with the event attribute, generating an event profile that includes the associated attire property and the event attribute, and saving the event profile in a memory.

Abstract: A method for recommending a product to a user based on a product's market lifecycle, whereby the recommendation is made in response to an indication from the user that a recommendation of an item would be useful is provided. The method may include assembling candidate recommendations from a plurality of recommendation sources, whereby the recommendation sources are configured to generate one or more product recommendations to the user based on a plurality of customer product preferences. The method may also include selecting at least one candidate from a plurality of product life cycle curves, whereby the selection is based on at least one time preference type associated with the user and a product life cycle position associated with one or more selected products.

Abstract: A set of current and historical electronic activity data are received from a customer. The activity data corresponds to the customer's interaction with an electronic product entry within a store. One or more electronic activities can be associated with one or more predetermined seller objectives. The seller's objectives are based on maximizing financial profit and minimizing cost of reward distribution. A reward score value is assigned to a customer based on an association between one or more of the customer's electronic activities and one or more of the predetermined seller objectives. A reward is selected based on the reward score wherein the rewards are also associated with one or more of the predetermined seller objectives, also based on the reward score value. The selected reward associated with the calculated reward score is communicated to the customer.

Abstract: Disclosed is a computer-implemented method to create a presentation having at least one sheet, where each sheet contains one or more visual elements, as well as a system and computer program embodied on a computer-readable storage medium. The method includes, in response to input from a user, representing visual elements as depictions in a model, where each depiction depicts a single item in the model, where each item is a unit of information with a unique identifier, where each item can be depicted by at least one depiction and each depiction defines the visual representation of the item's information via the visual element. The method further includes, in response to a change to an item made by altering the visual element associated with the depiction of the item, automatically propagating the change to the item to all other depictions of the item across all sheets of the presentation. The method further includes updating the associated visual elements to reflect the change to the item.

Abstract: Techniques are presented for providing a software fitting assessment. The techniques may be performed by methods, apparatus, and/or computer program products. The techniques include automatically matching on a computer system one or more specified requirements for a project with one or more software functions stored in a repository. The automatically matching includes mining the repository in order to match requirements. The repository includes software functions, requirements accumulated from previous projects, and results of stored matches between the software functions and the requirements accumulated from previous projects. The techniques include outputting by the computer system one or more results of the matching.

Abstract: Systems and techniques for generating recommendations for items likely to be of interest to a user. Upon an indication that a recommendation may be needed by a user, a plurality of recommendations from different sources are generated and combined. Suitably, each recommendation includes parameters such as accuracy and confidence parameters. Combining the recommendations comprises adjusting the parameters based on a set of rules established by an operator of a system for combining recommendations. The rules may be adjusted by operator inputs through an interface and may be adjusted, if desired, during generation of a recommendation. At least one of the recommendation sources generates recommendations based on social grouping, wherein social groupings are identified based on connections between members and similarity of purchased between members, and wherein a recommendation for a specific user is generated by identifying groups to which the user belongs and items popular within such groups.

Abstract: Aspects of the invention provide a method for making a product substitution recommendation to a consumer. Initially, a rejection of the product by the consumer is detected. The rejection comprises a failure to purchase a product after the product is added to an online shopping cart, or a return of a product after the product is purchased. Subsequently, a reason for the rejection is determined. A recommendation for a substitute product is then formulated at least in part based on the determined reason for the rejection. Lastly, the recommendation for the substitute product is presented to the consumer.

Abstract: Techniques are presented for providing a software fitting assessment. The techniques may be performed by methods, apparatus, and/or computer program products. The techniques include automatically matching on a computer system one or more specified requirements for a project with one or more software functions stored in a repository. The automatically matching includes mining the repository in order to match requirements. The repository includes software functions, requirements accumulated from previous projects, and results of stored matches between the software functions and the requirements accumulated from previous projects. The techniques include outputting by the computer system one or more results of the matching.

Abstract: Techniques are presented for providing a software fitting assessment. The techniques may be performed by methods, apparatus, and/or computer program products. The techniques include automatically matching on a computer system one or more specified requirements for a project with one or more software functions stored in a repository. The automatically matching includes mining the repository in order to match requirements. The repository includes software functions, requirements accumulated from previous projects, and results of stored matches between the software functions and the requirements accumulated from previous projects. The techniques include outputting by the computer system one or more results of the matching.