A method for providing a time exchange for establishing a sales pitch meeting between a salesperson and a consumer or group of consumers is described. A matching engine is utilized to best match a salesperson with a consumer that is considered to be available and willing to attend the sales pitch meeting. Salespersons bid on consumers' time on an exchange. Via an Algorithm Marketplace, consumers may trade their time on one or more exchanges. The giver of the sales pitch meeting can offer incentives to encourage consumers to attend the sales pitch meeting.

A computer program product, method and mobile device, the computer program product comprising a non-transitory computer readable storage medium retaining program instructions configured to cause a processor to perform actions, wherein the processor is a processor of a mobile device of a user, wherein the mobile device is in communication with a server associated with an entity other than the user, wherein the server is in communication with a plurality of mobile devices, each of which retaining the computer program product, wherein the program instructions implement: subject to an occurrence of an event associated with the user of the mobile device, obtaining data to be transmitted to the server, wherein the event is of interest to the entity, wherein the data to be transmitted comprises demographic information of the user and a property of the event, wherein the data excludes identifying information; and transmitting the data to the server.

An information processing device 400 includes an attribute estimation unit 410, an input/output control unit 411, and an output unit 412. The attribute estimation unit 410 estimates, on the basis of imaging data in which a customer who visits a store is imaged, an attribute of the customer. The input/output control unit 411 outputs a survey to an output device in a store and receives an answer to this survey. The output unit 412 includes an output unit 412 that outputs an estimated attribute and a received answer in association with each other.

One or more computing devices, systems, and/or methods for generating dynamic content item recommendations are provided. Content item information, extracted from message data, is aggregated to calculate popularity and attributes of content items. The content items are ranked based upon the popularity and attributes to generate a ranked list of content items. Exploration traffic is served utilizing a set of eligible content items selected from the ranked list of content items. An eligible content item is promoted for participation in auctions for serving non-exploration traffic based upon the eligible content item being served a threshold number of times.

A system and method for real-time geophysical social grouping comprising customer profiles and venue profiles, wherein the profiles comprise expressed and inferred attributes, and a social grouping and recommendation server which utilizes machine learning algorithms on the profiles to generate recommendations for social group pairing, venues, and activities. Attribute matching provides optimized grouping between customers who share certain commonalities while also providing venues a system for locating and attracting ideal customers. Machine learning algorithms may be used to analyze profile attributes and identify patterns of commonality that would not otherwise be recognized. This system allows patrons to meet, dine, and socialize with one or more matched individuals at a venue that satisfies all participants preferences and attributes.

A computer-implemented system and method for contextual advertising and merchandizing based on user configurable preferences is disclosed. The system in an example embodiment includes an advertising (ad) preferences service to obtain user preference information related to advertising, enable user configuration of the user preference information related to advertising, and modify the presentation of advertising to the user based upon the user configured preference information.

Implementations relate to systems and methods for generating a user profile based on periodic location fixes. A cellular telephone or other mobile device captures location information via GPS or other capability. A location history can be generated from accumulated location fixes. The location history is then analyzed to detect the user's travel and dwell patterns. That information can be combined with business classification (e.g., SIC, etc.) or Point of Interest (POI) databases to identify a user's likely home, work, or other locations based on dwell-times, time of day, and other parameters. The user's age and gender can potentially be inferred based on types of locations visited, such as school locations. The user profile can be correlated with market segmentation databases to generate a marketing rating, such as a Nielsen or Claritas rating. Advertising, media, or other content can then be tailored to the user's individual location and demographic profiles.

In various embodiments, promotions are featured on mobile gaming devices. Data based on which a first promotion associated with a first advertiser may be displayed on a mobile gaming device. The data may include a first set of criteria identifying when the first promotion should be displayed.

According to an aspect there is provided an ambient commerce system. The ambient commerce system may include a sensor at an ambient commerce premises. The ambient commerce system may include a processor coupled to the one or more sensors. The ambient commerce system may include a memory coupled to the processor. The memory may store processor-executable instructions which, when executed, cause the processor to: detect, based on an output of one or more of the sensors, engagement of an entity with a restricted item; identify the entity; obtain at least a portion of a profile for the entity; determine, based on the at least a portion of the profile for the identified entity, eligibility for the entity to acquire the restricted item; and selectively generate, based on the determined eligibility for the entity, a notification on an electronic device associated with the entity.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for reducing latency in network communications and data presentation. In one aspect, a user session is initiated in which data related to an account is presented to the user. A user group to which the given user has been assigned is identified. A first dataset related to the account is selected based on the user group. A second dataset related to the account is selected based on types of data previously requested by various other users in the user group. A user interface for the account is updated to present at least a portion of the first dataset. Latency in updating the user interface is reduced when presenting additional portions of the first dataset or the second dataset by providing, to the client device, the second dataset prior to receiving a request for the second dataset.