UBEX ico review~~~Ubex is a global, decentralized advertising exchange based on Neural Networks and operated by Smart Contracts.

mdmohsingazi2001 (6)in #ico • 6 years ago

Ubex is a global decentralized advertising exchange where
companies advertise effectively, while publishers profitably
tokenize ad slots on their resources.

PROBLEMS of the advertising industry solved by Ubex

Ubex: Service for Publishers

Publishers can quickly and conveniently connect their advertising slot to the Ubex advertising
platform and start earning as soon as the tracking add-on accumulates enough data about site traffic
for further analysis by the neural networks. Connection to the Ubex system takes place in four simple
steps:
(1) Register an advertising slot.
The publisher allocates slots for ad units on a website, marks them with a special identifier and places
the Java script code of the exchange. Any owner of internet resources with regular user traffic of
sufficient volume as per the requirements of the advertisers can receive approval for registration. After
reviewing the application, the publisher receives a notification email.
(2) Adjust advertising topic restrictions.
In the Ubex interface, the publisher chooses the topics that they allow for placement on their websites.
For instance, the owner of an internet resource on contributions can narrow down the topics for
advertising exclusively to financial services. The publisher can add new restrictions in the future, when
they see the first results of ad displays chosen by the neural networks as the most relevant for their
resource.
(3) Specify geolocation, audience interests and social parameters
To facilitate the indexing of their resource in the general site directory, the publisher can specify
additional data for accounting when searching for advertisers. These parameters will be considered
by the neural networks in the event the publisher refuses to set traffic tracking on their website (the
algorithm will prioritize only those publishers that have installed tracking on their resources).

(4) Set restrictions on widgets and advertisers
Publishers can view existing widgets for each topic and disable the ones they choose. For example,
the owner of a resource with articles on contributing in precious metals may want to turn off a widget
used to purchase cryptocurrencies without leaving the resource. Also, the publisher can create a
“black list” of specific advertisers whose widgets they do not wish to see on their resource.
Payment is made only upon the completion of targeted actions specified in the offer. Funds are
credited from the amount held in the escrow system of the Ubex crypto financial platform, or from
the advertiser’s account at the time indicated in the smart contract (in case of factoring payments for
advertisers with high ratings).

The Ubex Platform
The Ubex platform will provide ample opportunities not only to publishers and advertisers, but also to
companies that need regression analysis of user data. The system’s neural core, which is responsible
for making decisions at all stages of the life cycle of the advertising material, will have an API, access
to which can be provided to partner companies.
The behavioral decision-making blockchain allows one to evaluate user data and make a judgment
about the perceived interests of the user. This regression estimate can be used not only to display
advertising materials, but for other purposes as well. The API will provide an opportunity to retrieve a
list of expected categories with an estimate for each based on a query with user data.
Training the system core to obtain relevant and accurate forecasts is a laborious process. In this
regard, the platform will provide the ability of adding statistical data to the site user’s actions, which
can be used as a training sample for the system’s core. The site owners who provided data will receive
a reward proportional to the contribution of the data provided for training the system core. These
actions are similar to mining, when users are rewarded for labor-intensive work (providing statistical
data for the formation of a training sample).

The technology