A system and method utilizing store fitting room information to develop targeted advertising and offers directed to customers whose information has been collected at least in part in the fitting room.

The present teaching relates to generating an updated model related to advertisement selection. In one example, a request is obtained for updating a model to be utilized for selecting an advertisement. A plurality of copies of the model is generated. The model is pre-selected based on a performance metric related to advertisement selection. Based on each of the plurality of copies, a candidate model is created by modifying one or more parameters of the copy of the model to create a plurality of candidate models. One of the plurality of candidate models is selected based on the performance metric. The steps of generating, creating, and selecting are repeated until a predetermined condition is met. The model is updated with the latest selected candidate model when the predetermined condition is met.

A system and computer-implemented method for operating a fantasy league including: fantasy player information including performance history of one or more real-world athletes selected as fantasy players is stored. Sponsorship information associated with the fantasy player is stored on at least one of an individual or team basis. An operational request from a fantasy client device is received. An association between the operational request and the fantasy player is determined. An operational result is determined. At least one item of sponsorship information is associated with the operational result. The operational result and the sponsorship information are transmitted. An alert window is displayed at the fantasy client device including the sponsorship information.

This specification describes technologies relating to inferring interactions with advertisers. In general, one aspect of the subject matter described in this specification can be embodied in methods that include providing an online advertisement to a system, receiving data from the system indicating an interaction of the system with the online advertisement and data indicating a subsequent interaction of the system with an online resource of an advertiser associated with the online advertisement, and inferring that an advertisement conversion has occurred based on the received data. Other embodiments of this aspect include corresponding systems, apparatus, and computer program products.

Methods and systems for determining an individual gaze value are disclosed herein. An exemplary method involves: (a) receiving gaze data for a first wearable computing device, wherein the gaze data is indicative of a wearer-view associated with the first wearable computing device, and wherein the first wearable computing device is associated with a first user-account; (b) analyzing the gaze data from the first wearable computing device to detect one or more occurrences of one or more advertisement spaces in the gaze data; (c) based at least in part on the one or more detected advertisement-space occurrences, determining an individual gaze value for the first user-account; and (d) sending a gaze-value indication, wherein the gaze-value indication indicates the individual gaze value for the first user-account.

A system and method may be used to automatically select one of a plurality of advertisements to display on a computing device, for example, via online delivery of a gallery last-page advertisement or the like. A prior probability distribution may be obtained, and may be indicative of the relative likelihood of activation of the plurality of advertisements by a user. Bayesian statistical inference may be applied to the prior probability distribution to generate a posterior probability distribution that indicates relative likelihood of activation of the plurality of advertisements by the user, for example, with greater accuracy than the prior probability distribution. The posterior probability distribution may be used to select a first advertisement of the plurality of advertisements. A signal may be transmitted to cause the first advertisement to be displayed to the user.

The present disclosure is directed toward systems and methods for identifying user segments. In particular, the systems and methods described herein evaluate user session logs to gather media content consumption history information associated with a plurality of users. Additionally, the systems and methods described herein analyze items of media content to identify keywords, genres, and other attributes, and further represent the items of media content as vectors. The systems and methods follow an algorithm to group items of media content into clusters and, based on the clusters of media content, further group users of media content into user clusters (e.g., user segments).

Methods and systems for providing information associated with a location history of a mobile device to one or more applications are disclosed. A mobile device generates one or more location history records based on one or more locations of the mobile device, each location history record comprising one or more points of interest and a duration at the one or more points of interest, receives an information request from at least one application, determines a subset of the one or more location history records that meet criteria from the information request, determines a level of permission for the at least one application based on the information request and the subset of the one or more location history records, and provides information associated with the subset of the one or more location history records to the at least one application based on the level of permission.

Embodiments of the invention present an approach to conversion rate estimation which relies on using past performance observations along user, publisher, and advertiser data hierarchies. More specifically, embodiments of the invention model the conversion event at different select hierarchical levels with separate binomial distributions and estimate the distribution parameters individually. It is shown how to combine these individual estimators using logistic regression to identify conversion events accurately. Embodiments of the invention can also handle many practical issues, such as data imbalance, missing data, and output probability calibration, which render this estimation problem more difficult for a real-world implementation of the approach.

The present disclosure provides an information release method, including obtaining a position-value table of reference information of different categories; obtaining multiple pieces of information-to-be-released, and performing normalization processing on a conversion rate of the information-to-be-released according to a category of the information-to-be-released by using a corresponding position-value table, to obtain a normalized conversion rate of the information-to-be-released; and selectively releasing the multiple pieces of information-to-be-released according to the normalized conversion rate of the information-to-be-released. The present disclosure further provides an information release apparatus and a computer storage medium.