4 results about "Relevance measure" patented technology

The application relates to the technical field of industrial Internet of Things, and discloses a multi-channel time sequence data error bound quantification method and system based on dynamic graph grouping and error distribution, which comprises the following steps: S1: acquiring multi-channel time sequence data collected at the same collection point; S2: determining a scale factor, a point-by-point maximum absolute error upper bound, normalized channel time sequence data, and normalized error bounds of all channels; S3: calculating correlation measurement values of any two channels, and constructing a channel correlation graph; S4: determining a grouping threshold value, and forming an anchor point set from selected anchor point channels; S5: constructing a cross-channel correlation prediction model, and constructing an innovation sequence; S6: determining an error sensitivity coefficient, and determining a quantified error bound; S7: obtaining normalized reconstruction values of the anchor point channels and the innovation sequence; and S8: obtaining normalized reconstruction values of non-anchor point channels, and performing inverse normalization on the normalized reconstruction values according to the scale factor to obtain reconstruction values of the channels under the original dimension. The application can limit compress and highly restore original data.

A method, device and computer readable storage medium for reach deduplication across contents is provided. In the method, a plurality of non-overlapping object subsets is determined from an object set based on a plurality of object ranges. An object range is associated with at least one object attribute and targeted by a content of a plurality of contents that targets the object set. A reference number of objects targeted by at least one content in each object subset is determined based on a plurality of individual correlation metrics. An individual correlation metric corresponds to a content and indicates a degree of correlation between objects in the object subset and the content. A target number of objects targeted by the plurality of contents in the object set is determined based on the respective reference numbers in the plurality of object subsets.

Embodiments relate to systems and methods for generating content for a draft message based on tracked product data and pre-processed vectorized data. The methods can include extracting a customer domain identifier from a request and using the customer domain identifier to obtain from a product model a proposed product profile and a proposed product action. The methods can include constructing a first query comprising a semantic-based search criteria and a keyword-based search criteria and obtaining a first set of search results from an internal data store using the first query. The methods can include constructing a second query comprising a search vector and obtaining a second set of search results from a second data store using the second query. The methods can include causing generation of a prompt that includes the proposed product action obtained from the product model, and the composite set of search results satisfying a relevance metric.

The application provides a power grid data security protection method and system, relates to the technical field of data security, and comprises the following steps: constructing a data inference relation graph, recording historical access information of an access subject, and when an access request is received, performing two-dimensional risk assessment based on a derived knowledge set inferred by combination of target data and historical data, a correlation measurement value of historical access and an operating state parameter, and generating an access control instruction. The application can effectively prevent inference attacks based on historical data correlation analysis and improve the power grid data security protection capability.