Aspects of the subject disclosure may include, for example, storing, in a database, a decorating style preference of a user; receiving, from user equipment of the user, one or more images (and/or one or more 2D environment models and/or one or more 3D environment models) depicting an environment in which remodeling is desired; generating, via a machine learning process, a first model to present by the user equipment, the generating the first model being based upon the decorating style preference and the one or more images (and/or the one or more 2D environment models and/or the one or more 3D environment models), the first model comprising a first remodeling proposal for the environment; sending, to the user equipment, the first model, the sending of the first model facilitating display by the user equipment of a first depiction of the environment as proposed by the first remodeling proposal; receiving, from the user equipment, feedback information regarding the first remodeling proposal; generating, via the machine learning process, a second model to present by the user equipment, the generating the second model being based upon the decorating style preference, the one or more images (and/or the one or more 2D environment models and/or the one or more 3D environment models), and the feedback information, the second model comprising a second remodeling proposal for the environment; and sending, to the user equipment, the second model, the sending of the second model facilitating display by the user equipment of a second depiction of the environment as proposed by the second remodeling proposal. Other embodiments are disclosed.

The present teaching relates to providing content supply adjustment. A first dataset associated with user interactions directed to one or more content items placed on a target property and a second dataset associated with user interactions directed to the one or more content items places on a reference property are received for evaluation. Further, a cost of placing the one or more content items on the target property is determined based on the first and second datasets.

Systems and methods for determining location-based bid modifier suggestions include determining a content placement cost based in part on a likelihood of a user that has entered a physical establishment completing a transaction, an average transaction amount for the establishment, and an expected return on investment (ROI). A location-based bid modifier may be determined using the computed cost and a base bid amount. In some implementations, the location-based bid modifier may also be based on a probability model that models the probability of the user visiting the establishment.

Aspects of the subject disclosure may include, for example, embodiments for detecting a navigation application operating on a first communication device, and identifying a location of the first communication device. Further embodiments can include obtaining a first advertisement and a second advertisement according to the location of the first communication device as well as determining a first priority associated with the first advertisement and a second priority associated with the second advertisement. Additional embodiments can include determining the first priority is higher than the second priority resulting in a determination to present the first advertisement prior to the second advertisement, and providing the first advertisement, the second advertisement, and the determination to the first communication device. The first communication device presents the first advertisement within navigation content utilizing the navigation application prior to presenting the second advertisement within the navigation content based on the determination. Other embodiments are disclosed.

A closed loop attribution system may include a user location history storage system containing information indicative of user location history for a plurality of users based on location of a mobile device associated with a user; a user database storage system containing placement tracking information indicative of advertising content presented to the user; and a closed loop attribution processor responsive to said user location history storage system and said user database storage assessing correlations between a user's exposure and a user's location. The user database may include records indicative of user behavior and characteristics. The closed loop attribution processor may be connected to the campaign database and the campaign database may contain an indication of one or more locations of interest to an advertiser. The correlation between user exposure and a user's location may be a correlation between user exposure and the location or locations of interest.

Method for online advertising auction on a peer-to-peer network includes: deploying a smart contract to publish a need from a consumer; receiving encrypted ad bids by the smart contract; storing the received ad bids in a hash function; reducing a number of ads that can be displayed by the consumer; transmitting the ad price to the consumer via the peer-to-peer computer network, when the hashed verification code is received from the consumer verifying that the consumer has viewed the ad content within an ad-viewing period of time; transmitting a difference between the advance payment and the ad price to the advertiser, by the smart contract via the peer-to-peer network; and ending the online advertising auction.

The Hospitality Plus app is a website/IOS/Android app for all hospitality needs it is a network for builders, investors, technicians, contractors, providers, hotel management, valet, chiefs, food, and anything hospitality-related all in one place. Divided into sectors such as but not limited to government, hotel, medical, student-housing, apartment, hotel-management, extended-stay, and residential. Marketing/advertising on the app by having clients place bids on builders/contractors/technicians/services/hospitality products and anything in the hospitality industry. The app is to broker the deals taking a percentage of the sale. Clients can book hotels through hotel partners, have hospitality companies' post-employment opportunities, networking hospitality events, a premium subscription; promote products; List industry services and vendors, pay for business placement in listing management Create customer segmentation with marketing, company directories, social media, networking, members profiles, hospitality services/products, network-events, paid-listing management, industry-segmentation, request-a-quote, in one place for anything related to hospitality.

Embodiments of the present invention provide systems, methods, and computer storage media directed at controlling an advertising campaign. In embodiments, a method includes receiving a desired cost indicator. The desired cost indicator can indicate an average cost per unit a user would like to stay below for a current portion of an advertising campaign. The method can further include monitoring bid transactions of an advertising market associated with the advertising campaign to determine an observed cost measurement from the bid transactions. Based, at least in part, on the desired cost indicator and the observed cost measurement, a price control may be determined that can be utilized to adjust a bid price for the advertising campaign. Other embodiments may be described and/or claimed herein.

A system and method for optimizing ad campaigns, which considers the relationship of items and immediately takes into account the future estimated impact of optimizations.

Video header bidding systems and methods increase a number of advertisers that can place bids for an advertising impression while maintaining low latency in loading of the video. The systems and methods utilize a specialized control wrapper in the video header to manage one or more additional wrappers so as to allow for simultaneous bid collection from multiple groups of advertisers, one group per wrapper, without experiencing the traditional increase in latency of video ad loading as the number of entities bidding on an impression increases. Each wrapper contains information relating to a separate subset of advertisers from which to receive bids for the advertising impression. The control wrapper, as part of the video header, controls synchronization and timing of the separate bid processes controlled by the various wrappers to ensure that latency issues are avoided while the number of bids received is increased and revenue maximized.