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In item-based top-N recommender systems, the recommendation results are generated based on item correlation computation among all users.
(2) It assigns the corresponding weight factor to each of the opinions from recommenders, which makes the final recommendation results more accurate.
However, by systematically probing the recommender system, a large amount of correlated recommendation results can be obtained and combined, and valuable aggregated knowledge, such as system-wide cross-user item popularity ranking and item clustering, can be accurately inferred.
Recommending long tail items may cause an accuracy loss of recommendation results.
Therefore, recommendation results can be used to infer the correlations among recommended items.
Specifically, it not only provides accurate recommendation results, but also yields higher diversity and novelty in recommendations by accurately recommending unpopular objects.
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Without contacts in London, he phoned Jacob Epstein, whose recommendation resulted in a grant to study briefly at the Central school.
The recommendation resulted from the investigation into the crash of a commuter train in Chatsworth, Calif., in 2008 that killed 25 people.
When the evidence was lacking, a recommendation resulting from "expert opinion" could be formulated.
That first recommendation resulted in a 500%+ average price appreciation when the last of our shares were sold in late 1999.
Each recommendation resulted in a base closure.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com