Objective
Currently no platform actively optimises social games, causing low engagement, low user retention, and consequent low revenue turnover. This hobbles the European game industry as over 80% of EU-based game creators are SME’s with an average of 10 employees and almost always under 100. As a result, it is expected that Europe will lose a significant share of social gaming markets, with VC-backed US and Chinese ventures taking over 50% of the market by 2020.
The Gameboost system deploys machine learning algorithms to dynamically improve the user experience through enhancing gameplay and aesthetics within social and web-based games, and optimising searching and recommendations on the Gameboost HTML5 platform.
The platform continuously improves the user experience based on both consumer and community behaviour. In comparison to other social gaming platforms and app platforms like the Google Play Store, the App Store, and Facebook, user privacy is protected by only harvesting data relevant to the platform and not selling it in a firehose format, allowing illegal data gathering and profiling by state entities, or unwanted solicitation from commerce platforms like Twitter and Amazon.
Our primary method of revenue generation is serving ads to our users in video format, and providing our in-game optimisation capacity to game developers in a Software as a Service model. Other revenues will be generated via the freemium model with users being able to make in-app purchases as is common with other social and web-based games.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences software
- natural sciences computer and information sciences computer security malicious software
- natural sciences computer and information sciences data science big data
- social sciences economics and business business and management commerce e-commerce
- natural sciences computer and information sciences artificial intelligence machine learning deep learning
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.2.1.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)
MAIN PROGRAMME
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H2020-EU.2.3.1. - Mainstreaming SME support, especially through a dedicated instrument
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
SME-1 - SME instrument phase 1
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-SMEInst-2016-2017
See all projects funded under this callCoordinator
Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
10119 BERLIN
Germany
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.