Abstract: An advertising system determines the context of a user accessing a publication media (e.g., an online web site). The advertising system retrieves candidate advertisements from one or more databases based on the user's context (e.g., a user search request). The advertising system selects particular advertisements and then sends them to the user (e.g. for display on the user's terminal or device).

Abstract: Methods and systems for targeted advertisement include transmitting a pre-filter to a user device, responsive to contextual information supplied by the user device to determine one or more inferences based on physical browsing information, collected at the user device, in compliance with one or more privacy policies of the user. One or more targeted advertisements are determined, using a processor, based on the one or more inferences. The one or more targeted advertisements are transmitted to the user device.

Abstract: Systems and methods for enhanced advertising using semantic search are disclosed. In one aspect, embodiments of the present disclosure include a method, which may be implemented on a system, of identifying a semantic group with which content of a search result relates, further determining a facet of the semantic group with which the content of the search result relates, identifying an advertisement based on the facet of the semantic group, assigning an index to the advertisement as being associated with the facet of the semantic group, storing the index of the advertisement in a machine-readable storage medium, and/or presenting the advertisement to the user for viewing in a user interface in conjunction with the search result.

Abstract: Machine-learning based systems and methods are described for optimizing search engine results. A server receives, via a computer network, and associates, via a user profile, user information including search requests, transaction details, and/or profile information, for which a user receives purchasing units. The server executes a machine-learning component to predict, based on the user information, a user action score defining a probability of a user to engage in a new transaction. The server executes a search engine optimization component that receives, from the user's device, a new search request causing the search engine optimization component to generate a search engine offer associated with the new transaction. The server transmits the search engine offer to, and receives an acceptance from, computing device(s) of search engine market participant(s), the acceptance causing a targeted advertisement and search results to be returned to the user device in response to the new search request.

Abstract: Embodiments can provide automated matching of items to cart items and generation and rendering of customized template blocks, such that the appearance of the template blocks is adaptive, with remote configuration and optimization at one or more stages of a process. An integration plugin can enable websites to present additional items that are associated with an item displayed on a web page. The integration plugin can be compatible with many websites, be plug-and-play, quickly installed, and not require significant programming effort from the website. Embodiments can provide integration into the web site leading to increased conversion rates. Embodiments can provide information from a first item for additional items without additional data entry. Embodiments can provide real-time performance tracking for monitoring and optimization. Embodiments can provide composite user interfaces to manage item matching, performance tracking, and configuration.

Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for a universal relevance service framework for ranking and personalizing items.

Abstract: A search request is received from a user and the user's context is determined. A publisher is determined for the search request. Candidate advertisements are retrieved from at least one advertisement database to create an advertisement candidate pool, the retrieving based on the user context and the search request. A set of advertisements are selected from the advertisement candidate pool. A georelevance is determined for each of the set of advertisements. The set of advertisements is sorted, wherein the advertisements are sorted based on, at least in part, the georelevance of each of the set of advertisements. The sorted set of advertisements is then transmitted to the user.

Abstract: Provided are methods for optimizing presentation of additional items on web page based on item already presented on the web page. A method can include identifying first set of templates. The method can further include, for each of first plurality of requests, selecting first template, selecting first item, transmitting the first template to first client computer, and receiving interaction data from the first client computer specifying one or more interactions with the first template. The method can further include analyzing the interaction data to determine performance metric for each of the first set of templates and replacing at least one or more of the first set of templates and the first item. The method can further include, for each of second plurality of requests, selecting second template, selecting second item, and transmitting the second template to the second client computer. Presentation of additional items can be optimized remotely and automatically.

Abstract: Methods, apparatuses, and articles for receiving one or more indicators indicating one or more degrees of relevance or irrelevance of one or more items or entities to advertising keywords of interest, generating one or more advertising keyword suggestions suggesting one or more advertising keywords based at least in part on whether there are predetermined relationships among the suggested one or more advertising keywords, and between some of the suggested one or more advertising keywords and the one or more items or entities, are described herein.

Abstract: Aspects of the subject disclosure may include, for example, a device including a memory and a processor for performing operations including accessing a user persona comprising a plurality of attributes and a plurality of content preferences of a user of a communication device, presenting at an interactive site a plurality of content suggestions that are generated according to the user persona, receiving a content selection from a presentation of the plurality of content suggestions at the interactive site, and updating the plurality of content preferences of the user persona according to the content selection. Other embodiments are disclosed.

Abstract: Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium for delivering content. A method includes: identifying a webview; providing a script for execution when the webview is initiated, the script causing a device associated with the webview to retrieve a unique identifier associated with the device, encode the unique identifier, construct a URL that includes an advertising system domain and the encoded unique identifier, and pass the encoded unique identifier to the advertising system; passing a cookie for the advertising domain back to the webview for inclusion in the cookie space of the webview; storing information related to interactions of a user of the device when accessing content through different browsers or applications so as to unify the cookie spaces of the different browsers; identifying a request for content as being associated with the device; and using the information to determine content for delivery.

Abstract: A system, method, and computer program product discover relationships among items and recommend items based on the discovered relationships. The recommendations provided by the present invention are based on user profiles that take into account actual preferences of users, without requiring users to complete questionnaires. An improved binomial log likelihood ratio analysis technique is applied, to reduce adverse effects of overstatement of coincidence and predominance of best sellers. The invention may be used, for example, to generate track lists for a personalized radio station.

Abstract: A system includes a content provider serving a first user webpage that displays an external posting link associated with a computer store and a second user webpage of a social networking service. The computer store contains posts each associated with a post select control. A computer server at the content provider is coupled to the computer store and for each of the posts is programmed to receive from a web browser of a computer user a signal indicating activation of the post select control of a selected one of the posts displayed by the first user webpage, automatically link the selected one of the posts to the external posting link, receive from the web browser of the computer user a signal indicating activation of the external posting link, and automatically issue the selected one of the posts to the second user webpage for posting thereon.

Abstract: A computer-implemented method for protecting user identity within online content providing environments uses a security content management system (CMS) including at least one processor and a memory. The method includes identifying a request for an online content item associated with an online device. The online device is associated with actual device data. The method also includes determining a first characteristic value associated with the actual device data of the online device. The method further includes generating, by the processor, substitute device data. The substitute device data represents at least the first characteristic value. The method also includes providing the substitute device data to an online content provider.

Abstract: Certain of the disclosed embodiments present a system and method for providing in-home targeted advertisements to individual consumers. For instance, the disclosed embodiments include an in-home advertising device that enables a user to interact with the in-home advertising device and purchase items with the push of a button. Additionally, in some embodiments, the in-home advertising device may include a built in printer for enabling a user to print an advertised and/or coupon.

Abstract: A data processing system collects messages to create user profiles for users of user devices. The messages are collected from various systems and include data regarding user events on user devices. The user profiles are stored in a targeting database. In response to a request for information corresponding to a user device, a user profile is identified using data from the request and information from the profile is provided to the requester.

Abstract: Machine-learning based systems and methods are described for optimizing search engine results. A server receives, via a computer network, and associates, via a user profile, user information including search requests, transaction details, and/or profile information, for which a user receives purchasing units. The server executes a machine-learning component to predict, based on the user information, a user action score defining a probability of a user to engage in a new transaction. The server executes a search engine optimization component that receives, from the user's device, a new search request causing the search engine optimization component to generate a search engine offer associated with the new transaction. The server transmits the search engine offer to, and receives an acceptance from, computing device(s) of search engine market participant(s), the acceptance causing a targeted advertisement and search results to be returned to the user device in response to the new search request.

Abstract: An online social networking system for conducting commerce utilizes a grid environment, a widget architecture including a widget operating system, and semantic integration technologies to provide personalized bundling of products and services tied to an individual's life, emergent marketplaces that support collaboratively-based product and service development, merchandising, and recommendations, emergent user experiences, emergent gaming, emergent behavior predictions, collaborative discovery, i.e., social searching, and content and/or people voyeurism. These features are achieved through the use of various techniques including emergent programming, emergent widget processing, emergent computations, emergent applications, widget composition, data integration and exchange, complex system management, security graphs, trust/reputation management, intersecting graphs, database sharding, use of fractal graphs (which may be thinned and expanded), and content mashups.

Abstract: Concepts and technologies are disclosed herein for providing augmented reality shopping displays. A processor can execute a shopping service. The processor can receive a request for display data. The processor can analyze shopping data to identify data sources, the shopping data can include user data associated with the requestor, and the data sources can include an offer source. The processor can obtain collected data from the data sources identified, the collected data including an offer. The processor can generate display data based upon the collected data and the shopping data, and provide the display data to a user device. The display data can identify the offer.

Abstract: Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium for providing content.