POI valuation method, apparatus, device and computer storage medium

    公开(公告)号:US11468349B2

    公开(公告)日:2022-10-11

    申请号:US16936190

    申请日:2020-07-22

    Abstract: A POI valuation method, apparatus, device and computer storage medium are disclosed. The method comprises: obtaining information of first POIs with known values and information of second POIs with unknown values within a regional range; creating a valuation model which is configured to revaluate a first POI using values of surrounding POIs of the first POI, the surrounding POIs including other first POIs and second POIs within a predetermined range of distance from the first POI, and adjusting values of second POIs in the surrounding POIs using an error between a revaluated value of first POI and the known value of the first POI; training the valuation model until the error is minimized; obtaining the values of the second POIs from the valuation model. The solutions may reduce the requirement for manpower and improve the valuation efficiency as compared with manually valuation of POIs one by one.

    Method and apparatus for mining general text content, server, and storage medium

    公开(公告)号:US11062090B2

    公开(公告)日:2021-07-13

    申请号:US16213490

    申请日:2018-12-07

    Abstract: A method and apparatus for mining general text content, a server, and a storage medium, are disclosed. A specific embodiment of the method can include: acquiring a question including a target subject and a target characteristic; and inputting the target subject, the target characteristic and a target text into a pre-constructed answer prediction model, and determining a starting position and an ending position of an answer to the question in the target text by the answer prediction model. The answer prediction model is pre-trained based on a sample question including a sample subject and a sample characteristic, and a starting position and an ending position of a sample answer in a text. In the technical solution provided by the embodiments of the present disclosure, the starting position and the ending position of the answer in the target text may be correctly predicted, thereby increasing the accuracy of answer recognition.

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