Interactive recommender systems: A survey of the state of the art and future research challenges and opportunities
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We identify shortcomings of current recommender systems.

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We present an interactive recommender framework to tackle the shortcomings.

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We analyze existing interactive recommenders along the dimensions of our framework.

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Based on the analysis, we identify future research challenges and opportunities.

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