ADAPTIVE RECOMMENDATION SYSTEM AND METHOD FOR NETWORK-BASED CONTENT

    公开(公告)号:US20200226188A1

    公开(公告)日:2020-07-16

    申请号:US16247483

    申请日:2019-01-14

    Abstract: System, method, and software for recommending documents to users. A recommendation system identifies recent documents and historical information indicating consumption by users of past documents. The system generates a historical reading matrix based on the historical information, and generates a vector matrix for the recent documents and the past documents. The system generates an estimated reading matrix based on the historical reading matrix and the vector matrix, with the estimated reading matrix having first entries that represent actual reading scores for the past documents. The system calculates estimated reading scores for the recent documents based on the vector matrix, and populates second entries of the estimated reading matrix corresponding to the recent documents with the estimated reading scores. The system performs a factorization on the estimated reading matrix to generate a refined reading matrix, and generates recommendations of the recent documents based on the refined reading matrix.

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