A book heat degree correlation detection method based on publishing time and forgetting curve

A forgetting curve and publishing time technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as ignoring the correlation of book heat, achieve the effect of alleviating cold start problems and improving performance

Active Publication Date: 2018-12-07
GLOBAL TONE COMM TECH
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  • Claims
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Problems solved by technology

[0003] To sum up, the problems existing in the existing technology are: the traditional book recommendation algorithm adopts the method of collaborative filtering, which inevitably encounters the cold start problem of recommendation. At the same time, this method can only ignore the popularity of books based on content relevance. Correlation

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  • A book heat degree correlation detection method based on publishing time and forgetting curve
  • A book heat degree correlation detection method based on publishing time and forgetting curve
  • A book heat degree correlation detection method based on publishing time and forgetting curve

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Embodiment Construction

[0019] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0020] The invention implements a method for calculating the correlation degree of book popularity based on publication time and forgetting curve, and by calculating the objective popularity and subjective popularity of books, the correlation between books can be better calculated and the cold start problem can be alleviated.

[0021] The application principle of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0022] Such as figure 1 As shown, the book popularity correlation detection method based on the publishing time and forgetting curve provided by the embodiment...

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Abstract

The invention belongs to the technical field of information retrieval and database structures, and discloses a book heat degree correlation detection method based on publishing time and a forgetting curve. The book heat degree correlation detection method based on publishing time and a forgetting curve comprises the following steps: calculating objective heat degree correlation; the forgetting curve calculating the subjective heat; combining subjective heat and objective heat to calculate the correlation of book heat. The method can calculate the heat degree correlation of a book based on thepublishing time, and can alleviate the cold start problem of the book recommendation and improve the performance of the recommendation by combining the collaborative filtering algorithm.

Description

technical field [0001] The invention belongs to the technical field of information retrieval and its database structure, and in particular relates to a method for detecting the correlation degree of book popularity based on publication time and forgetting curve. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: the emergence of the Internet and search engines can quickly obtain information at home and abroad. However, with the increasing number of netizens and the influx of online information, people often feel that they have no way to start. Massive information bombardment cannot quickly select information that is useful and interesting to oneself. For those search engines, how to quickly provide users with effective information and improve competitiveness is particularly important. The recommendation system came into being and is widely used in social networking sites, music sites, film and television sites ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 王建华程国艮
Owner GLOBAL TONE COMM TECH
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