This specification describes technologies relating to content presentation. In general, one aspect of the subject matter described in this specification can be embodied in methods that include the actions of receiving ad information from a seller; generating, using one or more processors, a single conversion ad using the received ad information, where the single conversion ad has an available inventory of one such that only a single conversion of the ad can be performed; transmitting the single conversion ad to one or more potential buyers; receive an input from one of the one or more potential buyers; and notifying the seller of the user input. Other embodiments of this aspect include corresponding systems, apparatus, and computer program products.

Embodiments of a system method and computer program product for selecting an advertisement and presenting it to a user are described. Products and services offered by various merchants are read using a merchant specific catalog and stored in a common format. Categories for such products and services are normalized and virtual categories are created using various product attributes. Visual creatives, termed as ad-templates are created to control the visual and interactive aspects of the ad, including ad-size, color, as well as product attributes that are displayed in the ad. Ad-templates may be constrained to specific products or product categories. A learning algorithm uses an adaptive sampling process to sample various products, product categories and ad-templates independently for different learning units such as individual users, groups of users determined by some demographics, individual web pages and groups of web pages grouped using various similarity criteria. The performance of the ad is measured using various learning statistics, such as the click-through-rate, conversion rate, etc. The learning algorithm uses the learning statistics to optimize the return for the advertiser by favoring the products or categories that perform better on one or more specified criteria.

A digital brand asset system is provided enabling a brand owner to create, distribute, maintain, manage, merchandise and analyze smart brand assets. The system enables distribution and sharing of smart brand assets across the websites. The websites can host webpages containing codes representing the smart brand assets. When a user device retrieves a webpage from one of the websites and renders the webpage, it executes the codes and requests the content of the smart brand assets from a brand asset server. Through the brand asset server, a brand owner can control the content and the presentation of the smart brand asset hosted by the websites. The system further enables the brand partners to adjust the content of the smart brand assets based on their needs.

A system is disclosed for presenting advertisements for products and related products for a consumer based on the products being purchased.

Social media networking applications, web sites, and services creates implicit relationships between users based on their interest or participation in real-world and optionally virtual or online activities in addition to explicitly defined peer relationships. User profiles, activity entities, and expressions may be associated with metadata to assist in searching and navigation. Metadata is implicitly associated with user profiles, activity entities, expressions, or other data entities based on user behavior using metadata collector. A metadata collector is a poll, survey, list, questionnaire, census, test, game, or other type of presentation adapted to solicit user interaction. A metadata collector is associated with metadata elements. When users interact with a metadata collector, their user profiles and the data entities included in their interactions become associated with the metadata elements of the metadata collector. These metadata element associations may then be used for any purpose.

Systems and methods are disclosed that measure web activity bursts after ad broadcasts that may be sent to multiple persons. One system uses a cookie-less/cookie-optional, anonymous/personal-identification-not-required, method for web-based conversion tracking that will work on broadcast media systems such as television, and could also be applied to measuring spikes from email, radio, and other forms of advertising where an episodic ad event is broadcast to multiple parties, and where responses occur in a batch after the broadcast.

Mechanisms for dynamically integrating content with a web page are disclosed. Statistical data that identifies a plurality of metrics associated with viewership of a web page of a plurality of web pages on a web server is received. Based on the statistical data, the web page is predicted to meet a future viewership metric. Based on the prediction, the web page is identified as a web page predicted to meet the future viewership metric. A web page identifier that identifies the web page is received from a client device. The client device is provided with a high-viewership ad content descriptor from a plurality of ad content descriptors for use in conjunction with presenting the web page to a user.

Disclosed herein are methods, systems, and apparatus, including computer programs encoded on computer storage media, for multimedia playback. One of the methods includes: receiving, by a multimedia playback device from a multimedia server, a list indicating a plurality of multimedia files; caching, by the multimedia playback device, the plurality of multimedia files in a cache storage of the multimedia playback device; requesting, by the multimedia playback device from the multimedia server, an indication of a primary multimedia file to be played by the multimedia playback device; determining, by the multimedia playback device, a secondary multimedia file from the plurality of multimedia files to be played by the multimedia playback device; and playing, by the multimedia playback device, the secondary multimedia file when a playback condition of playing the secondary multimedia file is satisfied.

A method and an apparatus are provided. Distribution information in a first attribute dimension is acquired from a persona data collection of users who use a network service. The persona data collection includes persona data sets corresponding to the users. An evaluation data collection to match the distribution information in the first attribute dimension is extracted from a sample data collection that is collected from sample users. The sample data collection includes sample data sets corresponding to the sample users. Further, a level of accuracy of the persona data collection in a second attribute dimension is determined based on the evaluation data collection in the second attribute dimension.

Systems and methods for controlled IP access using a distributed ledger are disclosed. An example system may include a controller configured to: access a distributed ledger including intellectual property (IP) data about IP assets, where the IP assets include an aggregate stack of IP; tokenize the IP data; and interpret a distributed ledger operation corresponding to one of the IP assets. The controller may also be configured to: determine an analytic result value in response to the distributed ledger operation and the tokenized IP data, where the analytic result value includes statistical information corresponding to access events for an IP asset or distribution of IP assets according to access event rates; and to provide a report of the analytic result value; and record a transaction on the distributed ledger in response to providing the report.