Intelligent information aggregation method and device and storage medium

Abstract

The invention provides an intelligent information aggregation method and device and a storage medium, and the method comprises the following steps: creating a formal keyword set based on the type of required information, setting an initial weight value for each keyword, setting a total initial weight value of all keywords in the official keyword set as a constant, setting a candidate keyword set with an initial state of an empty set, periodically obtaining information to form an information set, screening and extracting an information subset by utilizing the official keyword set, and according to a total attention amount of the information subset, obtaining a candidate keyword set; calculating the information attention of each piece of information in the information subset; and processing each piece of information in the information subset, and redistributing keyword weights to obtain a new formal keyword set and a new candidate keyword set. Manual maintenance is not needed, manpower is saved, and meanwhile an objective keyword set is formed. And automatic updating can be realized.

Description

technical field

[0001] The present invention relates to the field of technical news integration, in particular, to an information intelligent aggregation method, equipment and storage medium. Background technique

[0002] Existing information channels mainly rely on manual selection of information on related topics to add to the channel. Some channels will manually maintain a keyword set, and use computer programs to filter information containing relevant keywords to join the channel. The disadvantage is that whether the keyword set itself is reasonable or whether there are omissions depends on the level of the maintainer, which is highly random and unreliable. At the same time, a topic will continue to evolve new keywords, and these new keywords are often quite lagging behind by manual addition, causing channel topics to often miss the latest relevant information. Contents of the invention

[0003] In view of the deficiencies in the prior art, the purpose of the present...

Examples

Embodiment 1

[0043] A method for intelligent aggregation of information, comprising the following steps:

[0044] Create a formal keyword set based on the required information type, set an initial weight value for each keyword, set the total initial weight value of all keywords in the formal keyword set to a constant, set a candidate keyword set, and the candidate The initial state of the keyword set is an empty set; it should be noted that in this embodiment, the official keyword set is set to K0, the candidate keyword set is set to K1; the initial weight value is set to A, and the total initial weight value is a constant Wc ; Algorithm example: K0={a, b, c}, initial weight value set A of official keywords: {a: 0.2, b: 0.3, c: 0.5}, Wc=1, K1={}.

[0045]Obtain information periodically to form an information set, which will contain information subsets that are filtered and extracted by using a formal keyword set, and calculate the information attention of each information in the informatio...

Embodiment 2

[0069] An electronic device, comprising: at least one processor and a memory communicatively connected to the at least one processor, the memory stores instructions executable by the at least one processor, the instructions are executed by the at least one processor, so that the at least one processor can Execute the above-mentioned information intelligent aggregation method.

Embodiment 3

[0071] A non-transitory computer-readable storage medium storing computer instructions, the computer instructions are used to make the computer execute the above information intelligent aggregation method.

technical field

[0001] The present invention relates to the field of technical news integration, in particular, to an information intelligent aggregation method, equipment and storage medium. Background technique

[0002] Existing information channels mainly rely on manual selection of information on related topics to add to the channel. Some channels will manually maintain a keyword set, and use computer programs to filter information containing relevant keywords to join the channel. The disadvantage is that whether the keyword set itself is reasonable or whether there are omissions depends on the level of the maintainer, which is highly random and unreliable. At the same time, a topic will continue to evolve new keywords, and these new keywords are often quite lagging behind by manual addition, causing channel topics to often miss the latest relevant information. Contents of the invention

[0003] In view of the deficiencies in the prior art, the purpose of the present...

Examples

Embodiment 1

[0043] A method for intelligent aggregation of information, comprising the following steps:

[0044] Create a formal keyword set based on the required information type, set an initial weight value for each keyword, set the total initial weight value of all keywords in the formal keyword set to a constant, set a candidate keyword set, and the candidate The initial state of the keyword set is an empty set; it should be noted that in this embodiment, the official keyword set is set to K0, the candidate keyword set is set to K1; the initial weight value is set to A, and the total initial weight value is a constant Wc ; Algorithm example: K0={a, b, c}, initial weight value set A of official keywords: {a: 0.2, b: 0.3, c: 0.5}, Wc=1, K1={}.

[0045]Obtain information periodically to form an information set, which will contain information subsets that are filtered and extracted by using a formal keyword set, and calculate the information attention of each information in the informatio...

Embodiment 2

[0069] An electronic device, comprising: at least one processor and a memory communicatively connected to the at least one processor, the memory stores instructions executable by the at least one processor, the instructions are executed by the at least one processor, so that the at least one processor can Execute the above-mentioned information intelligent aggregation method.

Embodiment 3

[0071] A non-transitory computer-readable storage medium storing computer instructions, the computer instructions are used to make the computer execute the above information intelligent aggregation method.

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