Provided are an information processing device, an information processing method, and an information processing program capable of determining advertisements according to the intention of a person registering an article as advertisements to be displayed on a page supplied from a web site. The information processing device specifies a commodity classification of a commodity and an attribute value of an attribute of a commodity belonging to the commodity classification, based on an article described on a web page, and decides an evaluation made by a page supervisor for the attribute value based on the article. Then, the information processing device selects commodities that belong to the specified commodity classification and satisfy a selection condition according to the decided evaluation, as display target candidates. From among the selected commodities, a commodity of which an advertisement is to be displayed in an advertisement display area of the web page is determined.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for broadcasting audio. In one aspect, the method includes receiving, from a server by a smart broadcasting device associated with a service client, an audio broadcast instruction; in response to receiving the audio broadcast instruction, downloading an audio file corresponding to the audio broadcast instruction, wherein the audio file comprises a marketing content related to services provided by the server to the service client associated with the smart broadcasting device; and broadcasting, by the smart broadcasting device, the audio file by using a speaker of the smart broadcasting device.

Techniques and systems are described for content interest from interaction information. Keywords are extracted from digital content, and relevance values are determined based on the keywords that captures both the statistical and semantic significance of topics in the digital content through use of a network representation. Interest values for an entity are determined based on the relevance values and an interaction dataset, which capture both the statistical and semantic significance of the topics with respect to the entity. The interest values may be utilized to control output of digital content to a client device.

A system for processing information requests associated with mobile devices comprises an evaluation module configured to determine at least one performance measure for each of a plurality of information documents using at least data in one or both of a requests database and events database. The at least one performance measure includes at least one of an impression-based performance measure, a click/call-based performance measure, and an off-line site-visit-based performance measure. The system further comprises an information server configured to select a first information document for transmitting to a first mobile device to fulfill a first request. The information server includes a volume control unit configured to derive an off-line site visit projection in response to the first document being selected based at least in part on an off-line site-visit-based performance measure and having been impressed on the first mobile device, and to adjust a budget associated with the first document using the off-line site visit projection.

Disclosed herein are a method and system that utilize a programmed content predictor to dynamically select electronic publishing content. In particular, the content predictor applies a selection model to select content for one or more selected webpages presented during an electronic transaction. The selection model utilizes a set of one or more machine learning models to select content based on calculated quality scores. The nature of the quality scores determined by the quality score model depend on the particular application. The predictor generates and populates a permutation quality table based on a set of selected content items and page variant, wherein the page variant defines locations of content positions within a webpage. The predictor then consumes the selection model to select a best permutation of content item-content position combinations to be returned for display on a webpage.

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.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for automated management of campaigns using scripted rules.

A method and system for employing a Language Processing machine learning Artificial Intelligence engine to employ word embeddings to create numerical representations of document meaning in a high-dimensional semantic space or an overall semantic direction. A system and method configured to improve precision and scale when using simple static embeddings. The system is programmed to employ innovative algorithms that act as heuristics to eliminate bad contextual matches to improve accuracy and precision. Pretrained neural language models and contextual embeddings are configured automatically take context into account at the featurization stage. A system and method for one-class classification framework, which starts from a list of keywords of interest and is configured to build an intent/no intent classifier without any labels.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for managing application program interface calls.

An asset to be displayed during an online engagement is identified. A mixture of multimedia assets that include any combination of: audio, video, text, or image, are selected to be displayed simultaneously with the asset. Each multimedia asset selected based at least on a relationship between the multimedia asset and the asset to be displayed during the online engagement. A presentation screen is created that includes the selected multimedia assets and the asset to be displayed during the online engagement based on display parameters of a receiving device.