CN115640436A - Information display method - Google Patents

Abstract

The invention discloses an information display method, which relates to the technical field of computers and comprises the following steps: s1, establishing four databases, and respectively storing four types of vocabularies: encyclopedia, hotword, listed company, non-listed company; s2, counting n words with the highest frequency in the displayed article content; s3, crawling the n word-related questions obtained in the S2 and corresponding articles under the questions; s4, judging the vocabulary categories to which the n words obtained in the S2 belong according to the four databases in the S1; and S5, executing different display operations for different vocabulary categories. According to the invention, after the highlight word in the article is clicked, the encyclopedia explanation, the shallow reading explanation and the deep reading explanation of the word are displayed, the official website display of related listed companies, the stock price display of related companies and other multidimensional information are displayed, so that the reading efficiency of readers is improved.

Description

Information display method

Technical Field

The invention relates to the technical field of computers, in particular to an information display method.

Background

When an entrepreneur reads information, the entrepreneur may encounter some hot words, such as a professional term IPO and the like, the reader does not know the meaning of the hot words, and if the information is searched on a search website, the time is wasted, and the user experience is reduced. Therefore, a method for annotating hotwords in an article is needed to improve reading efficiency. In the Baidu encyclopedia articles in the prior art, some words can be clicked, and corresponding explanations appear after the words are clicked. However, this method has the following drawbacks: 1) The 'blue word' in the Baidu encyclopedia article is only simple and conceptual in explanation; 2) No related "business, investment" type article is recommended around this word.

Disclosure of Invention

The invention aims to: aiming at the problems, the invention provides an information display method which is used for annotating hot words in articles and improving the reading efficiency of entrepreneurs.

The technical scheme is as follows: in order to realize the purpose of the invention, the technical scheme adopted by the invention is as follows:

an information display method includes the following steps:

s1, establishing four databases, and respectively storing four types of words: encyclopedia class, hotword class, listed company class, non-listed company class;

s2, counting n words with the highest frequency in the displayed article content;

s3, crawling the n words related problems obtained in the S2 and corresponding articles under the problems;

s4, judging the vocabulary categories to which the n words obtained in the S2 belong according to the four databases in the S1;

s5, for different vocabulary categories, different display operations are executed, including:

1) If a word belongs to encyclopedia, when the word is clicked in an article, 3 interface options are presented: an encyclopedia article interface, a shallow reading article interface and a deep reading article interface;

2) If the word belongs to the hot word class, when the word is clicked in the article, a recent article interface related to the word is displayed;

3) If the word belongs to the listed company class, when the word is clicked in the article, a stock webpage related to the company is displayed;

4) If a word belongs to a non-listed company category, the company's official homepage is presented when the word is clicked on in the article.

Further, the shallow reading and deep reading article screening method comprises the following steps:

the shallow reading of the article means that the title of the article and the question include "what" and "why", and the article corresponding to the question and the question are classified as shallow reading;

the deep reading of the article means that the titles of the question and the article include "how to do", "chance" and "risk", and the articles corresponding to the question and the article are classified as deep reading.

Has the advantages that: compared with the prior art, the technical scheme of the invention has the following beneficial technical effects:

according to the invention, the reading efficiency of the reader is improved by annotating the hotwords. After the reader clicks the highlighted word in the article, the following information of the word is displayed: encyclopedia explanations, used to introduce concepts; shallow interpretation for showing the article about the background, influence, value and the like of the noun; deep reading interpretation for showing relevant investment ways, investment opportunities and the like related to the noun; and displaying related listed companies through official websites, displaying related company stock prices and other multidimensional information. Meanwhile, the information displayed by the invention is the information which is relatively concerned by entrepreneurs.

Drawings

FIG. 1 is a flow chart of a method of an embodiment of the present invention;

FIG. 2 is a schematic view of an article interface according to an embodiment of the present invention;

FIG. 3 is a schematic diagram of a pop-up interface according to an embodiment of the present invention.

Detailed Description

The technical solution of the present invention is further described below with reference to the accompanying drawings and examples.

The information display method of the invention has the flow shown in figure 1, and comprises the following steps:

s1, establishing four databases, and respectively storing four types of vocabularies: encyclopedia (such as artificial intelligence), hotword (such as live broadcast and delivery), listed company (such as safe bank), and non-listed company (such as Hua Shi);

1) Encyclopedia: manually searching professional noun websites, and collecting and arranging related words; 2) Hot part of speech: manually sorting and collecting the network hot words, and storing the network hot words in a database; 3) Class of marketed companies: arranging the names of listed companies through an official network of 'upper exchange and deep exchange', and storing the names in a database; 4) Class of non-marketable companies: the yellow pages of all companies are manually arranged, and lists and official website information of the famous non-listed companies are arranged.

The four angles are all the four angles which are most concerned by entrepreneurs. Through the relevant articles are screened out from 'a plurality of categories', the reading efficiency of entrepreneurs is improved.

S2, counting high-frequency words of the top 20 ranks in the displayed article content; for example: artificial intelligence, big data, cloud computing, cloudband, and the like.

S3, crawling 20 word-related problems obtained in the S2 and corresponding articles under the problems; the embodiment crawls the problems and articles related to artificial intelligence, and specifically comprises the following steps:

the problems are that: what is artificial intelligence?

What is artificial intelligence is popular with science? Is known to

What is artificial intelligence? What is deep learning? AWS cloud service

What is "artificial intelligence"? What changes can artificial intelligence bring to our lives?

The problems are as follows: what is the value of artificial intelligence?

What is the true value of artificial intelligence?

What the artificial intelligence does, what value and meaning?

What values of artificial intelligence are worth enterprise attention?

And S4, judging the vocabulary categories of the 20 words obtained in the S2 according to the four databases in the S1.

S5, for different vocabulary categories, different display operations are executed, including:

1) If a word belongs to an encyclopedia class, e.g., artificial intelligence, when the word is clicked in an article, 3 interface options are presented: encyclopedia article interface (definition for explaining artificial intelligence), shallow reading article interface and deep reading article interface;

the shallow reading of the article means that the title of the article and the question include "what" and "why", and the article corresponding to the question and the question are classified as shallow reading;

for example: the problems are as follows: what is artificial intelligence? The corresponding article is-' science is popular, what is artificial intelligence? -know what is "artificial intelligence? What is deep learning? -AWS cloud services "," what is "artificial intelligence"? What changes our lives will be given by artificial intelligence? "

The deep reading of the article means that the titles of the question and the article include "how to do", "chance" and "risk", and the articles corresponding to the question and the article are classified as deep reading.

For example: the problems are as follows: what is the value of artificial intelligence? The corresponding article is- "what is the true value of artificial intelligence", "what is done by artificial intelligence, what value and meaning are, and what value of artificial intelligence is worth enterprise attention".

Fig. 2 and fig. 3 show three interfaces popped up when clicking the word "strategy" in the article.

2) If the term belongs to a hot part of speech, e.g., live tape; when clicking the word in the article, showing a recent article interface related to the word; if the trend of live broadcast with goods is high, the nature of live broadcast with goods returns from the disorder, and the back of live broadcast with goods is exploded: platform, anchor, user's mutual achievement ", etc.

3) If the term belongs to a listed company class, e.g., a safe bank; when the word is clicked in the article, a stock webpage related to the company, namely a stock page, is displayed: http:// quote. Eastmoney. Com/sz000001.Html.

4) If a word belongs to a non-listed company category, the company's official homepage is presented when the word is clicked on in the article.

The foregoing is a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.

Claims (2)

1. An information display method is characterized in that: the method comprises the following steps:

s1, establishing four databases, and respectively storing four types of vocabularies: encyclopedia class, hotword class, listed company class, non-listed company class;

s2, counting n words with the most occurrence frequency in the displayed article content;

s3, crawling the n words related problems obtained in the S2 and corresponding articles under the problems;

s4, judging the vocabulary categories to which the n words obtained in the S2 belong according to the four databases in the S1;

s5, for different vocabulary categories, different display operations are executed, including:

1) If a word belongs to encyclopedia, when the word is clicked in an article, 3 interface options are presented: an encyclopedia article interface, a shallow reading article interface and a deep reading article interface;

2) If the word belongs to the hot part of speech, when the word is clicked in the article, a recent article interface related to the word is displayed;

3) If the word belongs to the category of listed companies, when the word is clicked in the article, displaying a stock webpage related to the company;

4) If the word belongs to a non-listed company category, the official website homepage of the company is displayed when the word is clicked on in the article.

2. The information displaying method of claim 1, wherein: the shallow reading and deep reading article screening method comprises the following steps:

the shallow reading of the article means that the titles of the question and the article include "what" and "why", and the article corresponding to the question and the article are classified as shallow reading;

the deep reading of the article means that the titles of the question and the article include "how to do", "chance" and "risk", and the articles corresponding to the question and the article are classified as deep reading.

Images