Embodiments disclosed herein select a content message to present to a user on a page of an application based on paralinguistic features of audio input received from the user for the application. The audio input is received via a microphone associated with a computing device. A feature extractor extracts paralinguistic features from the audio input. A predictive model determines a label indicating a measure of receptiveness to product placement (e.g., a predicted marketing outcome) based on the paralinguistic features. A content-selection component selects a content message to present to the user based on the label and based on a profile of the user.

Generating optimal strategies for providing offers to a plurality of customers is described. A plurality of categorical attributes (for example, gender and residential status) and ordinal attributes (for example, risk score and credit line utilization) can be determined. Values of one of more categorical attributes can be changed as per a transition probability table. Some probabilities can be varied to determine a first tradeoff, based on which a first updated strategy can be generated. Further, noise can be added to one or more ordinal attributes. Standard deviation of a noise distribution associated with the noise can be varied so as to determine a second tradeoff, based on which a second updated strategy can be generated. The second updated strategy can be an update of the first updated strategy. Offers can be provided to the plurality of customers in accordance with the second updated strategy.

Systems and methods for generating an optimal allocation of marketing investment for a marketing budget based on a marketing variable without requiring historical time-series data or survey data are disclosed. A first advertising elasticity is determined for the marketing variable based on a meta-analysis of a normative database. A second advertising elasticity is determined based on financial data for the offering being analyzed. The first and second advertising elasticities are combined to determine the optimal allocation.

The systems and methods may be used to recommend an item to a consumer. The methods may comprise determining, based on a collaborative filtering algorithm, a consumer relevance value associated with an item, and transmitting, based on the consumer relevance value, information associated with the item to a consumer. A collaborative filtering algorithm may receive as an input a transaction history associated with the consumer, a demographic of the consumer, a consumer profile, a type of transaction account, a transaction account associated with the consumer, a period of time that the consumer has held a transaction account, a size of wallet, and/or a share of wallet. The method may further comprise generating a ranked list of items based upon consumer relevance values, transmitting a ranked list of items to a consumer, and/or re-ranking a ranked list of items based upon a merchant goal.

Disclosed embodiments include an event processor that identifies events generated by an entity from various resources. The event processor generates a resource cluster interest score based on the events indicating an interest level of the entity in multiple hostname resources belonging to a first party. The event processor identifies a topic cluster including multiple topics and generates a topic cluster interest score indicating an interest level of the entity in the topics. The event processor generates a weighted intent score based on the resource interest score and the topic cluster interest score. The weighted intent score provides an indication of when the entity is interested in consuming resources, or interested in products/services, provided by the first party. Other embodiments may be described and/or claimed.

A portable billboard is presented including a portable media projection subsystem to selectively project media and to supply an enablement signal in response to the media being projected. A location device supplies a geographic location of the media projection subsystem. A verifier receives the enablement signal and the geographic location, and supplies verification information responsive to the media being projected from a stationary location for a predetermined minimum duration of time. A communications subsystem receives verification information and either stores the information for subsequent downloads, or transmits the information to a central controlling server. A targeting subsystem permits an entity to select a target stationary location from a plurality of value weighted target stationary locations. The targeting application typically provides a reward in response to a value of the selected target stationary location.

Technologies are generally described for context sensitive display of final delivery information on a consumable delivery vehicle with enroute preparation. A controller may manage fulfillment of orders while the vehicle is enroute by controlling an operation of one or more on-board preparation equipment. The controller may also receive order status information and travel information associated with final delivery destinations. Once the vehicle is at its destination to be used as a hub for final deliveries, one or more displays on the vehicle may display final delivery information to final delivery people based on the status information and the travel information.

A computer-implemented method of using the Internet to promote goods and services and connect merchants with potential purchasers in chat groups who wish to obtain suitable sources of goods and services is provided, wherein a plurality of users each have a computer device provided with chat application software and software for accessing and interactively communicating via a computer network with a server provided with a search engine for searching the Internet. Users initiate a chat conversation among a group of users. One of the users invokes a search application using the search engine. The user conducts a search of the Internet for products or services, reviews the results of the search, selects a product or service located by the search, and shares the selected search result with the chat conversation. One of the users can order the selected product or service as part of the process.

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 performs the steps of providing payloads for a smart brand asset to a plurality of web servers which include codes representing the smart brand asset, receiving feedbacks on how the smart brand asset is presented on the website servers, collecting web journey data of the website visitors' who have interacted with the smart brand asset, generating a report detailing how effective the smart brand asset has been on the website servers, and presenting the report on a dashboard. Generally, by monitoring the website servers and visitors interacting with the smart brand assets, a report can be generated for the brand owners to determine the effectiveness of the smart brand assets hosted on the website servers. The raw data used to generate the report can be used to autonomically and dynamically change the content based upon the interpretation of the feedbacks.