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Garrett Eastman

Marketing A nalytics for F ree - to - P lay G ames - 0 views

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    Abstract: "This thesis deals with free to play marketing analytics in the light of mobile iOS games. Other platforms will be also discussed as well as mobile marketing aspects such as user acquisition, big data and metrics."
Garrett Eastman

Resource Systems in Games: An Analytical Approach - 0 views

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    Abstract: "We describe an approach to using standard data mining algorithms to help analyse recurring themes in game design across several games, and to help suggest novel game design ideas. This is illustrated with the analysis of 119 different resource systems across 20 games. Clustering is used to validate the assignment of resources into archetypes; frequent pattern mining is used to find commonly co-occurring resource attributes; and decision tree induction is used to visualize the relations between resource archetypes. We discuss the relation between qualitative and quantitative analysis of game design and suggest that qualitative analysis is necessary but that quantitative methods can be of invaluable help."
Garrett Eastman

Big data is helping EA level up - 0 views

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    "Electronic Arts CTO Rajat Taneja on big data's growing role in the video game world."
Garrett Eastman

ARTigo: an Art Tagging Ecosystem - 0 views

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    Abstract: "ARTigo is a Game with a Purpose platform whose goal is to collect tags for artworks, which can be used for retrieval. The ARTigo gam es form a tagging ecosystem, where the games cooperate in order to gather a wide range of information. Description games create initial tags, in order to enable other games to be played and collect semantically shallow surface tags. Dissemination games sp read existing data to other artworks or languages, and do not create new information. Diversification games feed on data produced by other games and guide the players to entering more specific tags. Finally, integration games create higher - order tags with deep semantic meanings, describing emotions for example. All these different types of tags have different semantic depths, and are present in different quantities. Together, they create a pool of complementary tags accurately describing artworks, which can be processed for data mining."
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