2010
DOI: 10.1073/pnas.1000488107
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Solving the apparent diversity-accuracy dilemma of recommender systems

Abstract: Recommender systems use data on past user preferences to predict possible future likes and interests. A key challenge is that while the most useful individual recommendations are to be found among diverse niche objects, the most reliably accurate results are obtained by methods that recommend objects based on user or object similarity. In this paper we introduce a new algorithm specifically to address the challenge of diversity and show how it can be used to resolve this apparent dilemma when combined in an el… Show more

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Cited by 855 publications
(756 citation statements)
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“…The matrix notation is an elegant way of mixing the two diffusion processes; but its interpretation is not straightforward. We refer to the original paper [18] for a detailed discussion. Elements of the initial resource vector for a given country are set to 1 for all the products that meet the RCA threshold and zero otherwise.…”
Section: Link Predictionmentioning
confidence: 99%
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“…The matrix notation is an elegant way of mixing the two diffusion processes; but its interpretation is not straightforward. We refer to the original paper [18] for a detailed discussion. Elements of the initial resource vector for a given country are set to 1 for all the products that meet the RCA threshold and zero otherwise.…”
Section: Link Predictionmentioning
confidence: 99%
“…We denote by D i (L) the number of correct predictions for country i. By averaging D i (L) over countries and normalizing it by the length of the prediction list L, we obtain precision P(L) [18].…”
Section: Link Prediction Metricsmentioning
confidence: 99%
See 3 more Smart Citations