Another Word For It Patrick Durusau on Topic Maps and Semantic Diversity

April 6, 2013

Graphs for Gaming [Neo4j]

Filed under: Games,Graphs,Neo4j — Patrick Durusau @ 4:52 pm

Graphs for Gaming by Toby O’Rourke and Rik van Bruggen.

From the description:

Graph Databases have many use cases in many industries, but one of the most interesting ones that are emerging is in the Gaming industry. Because of its real-time nature, games are a perfect environment to make use of graph-based queries that are the basis for in-game recommendations. These recommendations make games more interesting for the users (they get to play cooler games with other people in their area, of their level, sharing their social network profile, etc) but also more profitable for the game providers, developers and publishers. After all: the latter want to be recommending specific games to specific target audiences, and thereby maximising their potential revenues.

Just in case tonight is movie night at your house and you forgot to pick up any videos. 😉

Or not.

Review comments:

Rik van Bruggen covers two centuries of math (Euler as the inventor of graphs), skips to Neo4j, then to NoSQL, criticisms of relational databases, new definition of complexity, and examples of complexity. Hits games at time mark 12:30, but discusses them very vaguely. Graphs in gaming, harnessing social networks. A demo of finding the games two people have played.

Nice demo of the Neo4j console.

Works for same company as the basis for a recommendation to play against Rik? Remember the perils of K-Nearest Neighbors: dangerously simple.

Query response in milliseconds? Think about the company size for the query.

Demonstrates querying but nothing to do with using graphs in gaming. (Mining networks of users, yes, but that’s a generic problem.)

At time mark 28:00, the Neo4j infomercial finally ends.

Toby O’Rourke takes over. Bingo business case was to obtain referrals of friends. Social network problem. General comments on future user of graphs for recommendations and fraud/collusion detection. (Yes, I know, friend referrals and recommendations sound a lot alike. Not to the presenter.)

There are informative and useful Neo4j videos so don’t judge them all by this one.

However, spend your forty-eight plus minutes somewhere other than on this video.

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