Latent feature based tag routing
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United States of America Patent
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Sep 19, 2017
Grant Date -
N/A
app pub date -
Mar 30, 2015
filing date -
Mar 30, 2015
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status (Latency Note)
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Abstract
Features are disclosed for identifying and routing items for tagging using a latent feature model, such as a recurrent neural network language model (RNNLM). The model may be trained to identify latent features for catalog items such as movies, books, food items, beverages, and the like. Based on similarities in latent features, tags previous assigned to items may be applied to untagged items. Application may be manual or automatic. In either case, resources need to be balances to ensure efficient tagging of items. The included features help to identify and direct these limited tagging resources.
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