How Particle Physics Is Improving Recommendation Engines | MIT Technology Review - 0 views
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rival vs non-rival goods recommendation particle physics
shared by Kurt Laitner on 17 Jan 13
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how to deal with recommendations for objects whose value diminishes with the number of people who use it.
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The analogy here is with goods that any number of people can share or that only one person can have.
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Preventing oversubscription ensures that the population of users sample a wider range of DVDs, which in turn provides a broader range of recommendations.
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Retailers are not just interested in renting DVDs or selling books or whatever. They want to maximise profits.