Collaborative filtering with temporal dynamics
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Cites background from "Collaborative filtering with tempor..."
...We can also allow the bias terms to evolve over time, to reflect the changing preferences of users (Koren 2009b)....
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Cites methods from "Collaborative filtering with tempor..."
...In recent years, neural networks have also been used in temporal collaborative filtering, which was first introduced in [258]....
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1,788 citations
Cites background or methods from "Collaborative filtering with tempor..."
...The best approaches [3, 4] for the 1M$ Netflix challenge(1) are based on this model class....
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...[3, 4]), item recommendation from implicit feedback has started to get more into the focus [2, 6, 7]....
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References
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8,634 citations
"Collaborative filtering with tempor..." refers methods in this paper
...An item-item approach [9, 14] evaluates the pre ference of a user to an item based on ratings of similar items by th e same user....
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4,788 citations
"Collaborative filtering with tempor..." refers background in this paper
...Amazon.com recommendations: Item-to-item collaborative .ltering....
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...An item-item approach [9, 14] evaluates the preference of a user to an item based on ratings of similar items by the same user....
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...As a consequence, CF attracted much of attention in the past decade, resulting in significant progress and being adopted by some successful commercial systems, including Amazon [9], TiVo and Netflix....
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...As a consequence, CF attracted much of attention in the past decade, resulting in signi.cant progress and being adopted by some successful commercial systems, including Amazon [9], TiVo and Net.ix....
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4,372 citations
4,299 citations