Book popularity prediction method and equipment based on time series analysis

A technology for time series analysis and forecasting methods, applied in forecasting, instrumentation, data processing applications, etc., and can solve problems such as inaccuracy and incompleteness

Pending Publication Date: 2020-08-28
TIANWEN DIGITAL MEDIA TECH BEIJING
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  • Book popularity prediction method and equipment based on time series analysis
  • Book popularity prediction method and equipment based on time series analysis
  • Book popularity prediction method and equipment based on time series analysis

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Embodiment Construction

[0029] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0030] refer to figure 1 , an embodiment of the present invention provides a method for predicting book popularity based on time series analysis, comprising the following steps:

[0031] S100. Define a popularity evaluation standard for book resources, and calculate the popularity value of the book within a certain period according to the popularity evaluation standard;

[0032] Specifically include steps:

[0033] S101. Define popularity evaluation criteria including cumulative book feedback and sales scores, periodic book feedback an...

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Abstract

The invention discloses a book popularity prediction method and device based on time series analysis, and the method comprises the following steps: defining a popularity evaluation standard for book resources, and calculating the popularity value of a book in a certain period according to the popularity evaluation standard; selecting popularity values of the books in a plurality of periods to obtain a book popularity time sequence; detecting a book popularity time sequence, selecting a stable and non-white noise sequence to derive parameters of the time sequence analysis model, and constructing the time sequence analysis model; predicting the popularity of the book at the future moment based on the time sequence analysis model, and carrying out the rationality evaluation of the time sequence analysis model. According to the method, a new popularity evaluation standard is defined for the book popularity based on a statistical method, the time sequence model is applied to book popularityvalue prediction, and errors caused by possible blindness and subjectivity are avoided for publication agency book topic selection argumentation and future trend pre-judgment.

Description

technical field [0001] The invention relates to the technical field of book publishing big data, in particular to a method and device for predicting book popularity based on time series analysis. Background technique [0002] With the development of innovative technologies such as big data and artificial intelligence, the book publishing industry is facing huge challenges and opportunities, especially the selection of book titles is particularly important for book publishing and distribution. Today, publishing houses have It has its own independent and standardized set of argumentation system for book topic selection. This system has been an important access point for publishing houses to evaluate and evaluate the economic and social benefits of book topic selection for a long time. system. [0003] At present, publishing houses adopt traditional methods for project establishment and demonstration of book topic selection, through manual processing, collection and analysis o...

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06
CPCG06Q10/04G06Q10/06393
Inventor 韩钦鲁彬
Owner TIANWEN DIGITAL MEDIA TECH BEIJING
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