CN113051411A - Article real-time ranking method and device, terminal and storage medium - Google Patents
Article real-time ranking method and device, terminal and storage medium Download PDFInfo
- Publication number
- CN113051411A CN113051411A CN202110156231.1A CN202110156231A CN113051411A CN 113051411 A CN113051411 A CN 113051411A CN 202110156231 A CN202110156231 A CN 202110156231A CN 113051411 A CN113051411 A CN 113051411A
- Authority
- CN
- China
- Prior art keywords
- time
- article
- real
- votes
- ranking
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 34
- 238000003860 storage Methods 0.000 title claims description 9
- 230000002349 favourable effect Effects 0.000 claims abstract description 17
- 238000011156 evaluation Methods 0.000 claims abstract description 12
- 238000005266 casting Methods 0.000 claims abstract description 3
- 230000008569 process Effects 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000011161 development Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000013461 design Methods 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 230000000699 topical effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/38—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9538—Presentation of query results
Landscapes
- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Library & Information Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a real-time article ranking method, which comprises the following steps: acquiring the real-time ticket casting number of each article by a user; calculating the ratio of the voted votes to the number of votes to obtain the favorable rating of each article; calculating a confidence interval of the good evaluation rate according to a preset rule through the number of votes; and comparing the lower limit value of the confidence interval of each article, and ranking the corresponding articles in real time according to the size sequence. The article real-time ranking method provided by the invention comprises the steps of firstly calculating the favorable rating of the votes in the total number of votes, then calculating the confidence interval of the favorable rating according to the number of the total votes, and carrying out real-time ranking on a plurality of articles according to the lower limit value of the confidence interval. Therefore, the good evaluation rate of the articles can be corrected according to the number of samples, and the reasonability of real-time ranking of the articles is improved.
Description
[ technical field ] A method for producing a semiconductor device
The invention relates to the technical field of internet, in particular to a method, a device, a terminal and a storage medium for ranking articles in real time.
[ background of the invention ]
In the internet at present, a large amount of information publishing and circulation is flooded every moment, and how to keep valuable and hot articles becomes a problem to be solved for the management of each forum. For example, in a forum, a popularity chart is set, and the hottest articles or articles with the most topical popularity in a certain time period are displayed in real time, so that more people and discussions are facilitated. Therefore, how to determine the score of each article according to the votes (e.g., likes/clicks, etc.) of the user and then reasonably rank the articles is a question to be discussed.
In the existing ranking mode, the difference value between the positive and negative tickets is adopted for ranking, but for the high-dialectical article with high total ticket number and close positive and negative tickets, the score is low and the ranking is low; it is also possible to rank in proportion to the total number of votes voted for, but for articles with very low total votes, the weight of a single vote is too large to be in accordance with normal ranking logic.
In view of the above, it is actually necessary to provide a method, an apparatus, a terminal and a storage medium for ranking articles in real time to overcome the above-mentioned drawbacks.
[ summary of the invention ]
The invention aims to provide a method, a device, a terminal and a storage medium for ranking articles in real time, and aims to solve the problem that the processing logic of article real-time ranking in the existing forum is not reasonable enough.
In order to achieve the above object, a first aspect of the present invention provides a method for real-time ranking of articles, including the following steps:
acquiring the real-time ticket casting number of each article by a user; wherein the number of votes comprises positive and negative votes;
calculating the proportion of the votes to the number of votes to obtain the favorable rating of each article;
calculating a confidence interval of the good evaluation rate according to a preset rule through the number of votes;
and comparing the lower limit value of the confidence interval of each article, and ranking the corresponding articles in real time according to the size sequence.
In a preferred embodiment, the step of calculating the confidence interval of the goodness rate according to the number of votes according to a preset rule comprises the steps of:
calculating the confidence interval through a preset interval calculation formula; the interval calculation formula is as follows:
wherein n is the number of votes, P is the goodness of appreciation, and z is the statistic of the preset confidence level.
In a preferred embodiment, the method further comprises the steps of:
obtaining publication time and current time of each article;
calculating publication duration of each article;
and carrying out attenuation factor assignment on the confidence interval according to the publication duration through a preset rule to obtain a new confidence interval.
The invention also provides an article real-time ranking device, which comprises:
the system comprises a vote number acquisition module, a vote counting module and a vote counting module, wherein the vote number acquisition module is used for acquiring the real-time vote number of each article by a user; wherein the number of votes comprises positive and negative votes;
the favorable rating calculation module is used for calculating the proportion of the approved tickets to the number of votes to obtain the favorable rating of each article;
the interval calculation module is used for calculating a confidence interval of the good evaluation rate according to a preset rule through the number of votes;
and the ranking comparison module is used for comparing the lower limit value of the confidence interval of each article and ranking the corresponding articles in real time according to the order of the sizes.
In a preferred embodiment, the interval calculation module further includes:
the interval calculation unit is used for calculating the confidence interval through a preset interval calculation formula; the interval calculation formula is as follows:
wherein n is the number of votes, P is the goodness of appreciation, and z is the statistic of the preset confidence level.
In a preferred embodiment, the method further comprises:
the time acquisition module is used for acquiring publication time and current time of each article;
the time length calculating module is used for calculating the publication time length of each article;
and the factor assignment module is used for carrying out attenuation factor assignment on the confidence interval according to the publication duration through a preset rule to obtain a new confidence interval.
A third aspect of the present invention provides a terminal, which includes a memory, a processor, and an article real-time ranking program stored in the memory and executable on the processor, and when executed by the processor, the article real-time ranking program implements the steps of the article real-time ranking method according to any one of the above embodiments.
A fourth aspect of the present invention provides a computer-readable storage medium storing a real-time article ranking program, which when executed by a processor implements the steps of the method for real-time article ranking according to any one of the above embodiments.
The article real-time ranking method provided by the invention comprises the steps of firstly calculating the favorable rating of the votes in the total number of votes, then calculating the confidence interval of the favorable rating according to the number of the total votes, and carrying out real-time ranking on a plurality of articles according to the lower limit value of the confidence interval. For the articles with close evaluation rates, when the total number of votes is large, the confidence interval is narrow, and the lower limit value is large; if the total number of votes is small, the confidence interval is wide, and the lower limit value is small, so that the good evaluation rate of the articles can be corrected according to the number of samples, and the reasonability of real-time ranking of the articles is improved.
[ description of the drawings ]
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
FIG. 1 is a flow chart of a method for real-time ranking of articles provided by the present invention;
FIG. 2 is a flow diagram of another embodiment of a method for real-time ranking of articles shown in FIG. 1;
FIG. 3 is a frame diagram of an article real-time ranking apparatus provided in the present invention;
fig. 4 is a frame diagram of another embodiment of the article real-time ranking device shown in fig. 3.
[ detailed description ] embodiments
In order to make the objects, technical solutions and advantageous effects of the present invention more clearly apparent, the present invention is further described in detail below with reference to the accompanying drawings and the detailed description. It should be understood that the detailed description and specific examples, while indicating the preferred embodiment of the invention, are intended for purposes of illustration only and are not intended to limit the scope of the invention.
It is also to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the specification of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
In an embodiment of the invention, a first aspect provides an article real-time ranking method, which is used for ranking articles of internet communities such as forums, malls and the like according to popularity or goodness, so that articles with discussion values are screened out, and ordered development of the internet communities is promoted. The articles include but are not limited to discussion posts, answer contents, commodities and other things which can be voted by the participatory users in the internet community.
As shown in FIG. 1, the real-time article ranking method includes the following steps S11-S14.
Step S11, acquiring the real-time vote number of each article by the user; wherein the vote count includes a positive vote and a negative vote.
In this step, when an article is published in the forum, all users' voting mechanisms (e.g. like likes/steps, good/bad, like/contrary) for the article are synchronously started, and then the votes of the article are obtained in real time or at short intervals and counted. Wherein, the voting of each user is an independent event, and only two choices are selected when voting.
And step S12, calculating the ratio of the voted votes to the votes to obtain the favorable rating of each article.
Specifically, the number of votes is positive votes plus negative votes, so that the favorable rating of the article is determined by calculating the proportion of positive votes in the total number of votes. For example, if the total number of votes is n, where there are k votes in favor, then the ratio of votes in favor, p, is equal to k/n.
And step S13, calculating a confidence interval of the good evaluation rate according to the number of votes and a preset rule.
It should be noted that the higher the rating p is, the higher the rating of the article is, and the article should be ranked in the front. However, the credibility of the goodness rate p depends on how many people vote, and if the sample is too small, the credibility of the goodness rate p is not high. Therefore, a confidence interval of good scores can be calculated. Confidence interval refers to the estimated interval of the overall parameter constructed from the sample statistics. Statistically, the Confidence interval (Confidence interval) of a probability sample is an interval estimate for some overall parameter of the sample, i.e. it represents the extent to which the true value of the parameter has a certain probability of falling around the measurement. Generally speaking, the confidence level may be 95%, although it may be adjusted accordingly according to specific needs.
Specifically, a confidence interval is calculated through a preset interval calculation formula; the interval calculation formula is as follows:
wherein n is the number of votes, P is the goodness of appreciation, and z is the statistic of the preset confidence level. It will be appreciated that z is a constant, and may be obtained by a table lookup or peer software package. Typically, at a 95% confidence level, the value of the z statistic is 1.96.
It can be seen that when the value of n is large enough, this lower limit tends to be 100%; if n is very small (voters are few), this lower limit will be small, which acts to reduce the "percentage of votes to vote" so that the article scores less and ranks down.
Of course, in other embodiments, for an article with a large number of votes, a positive space may be used for calculation to obtain a confidence space of a good score p at a certain confidence level.
And step S14, comparing the lower limit value of the confidence interval of each article, and ranking the corresponding articles in real time according to the order of the sizes. Specifically, each article is ranked in real time by comparing the lower limit value of the confidence interval, so that the ranking rank of the articles with high rating and high credibility is improved as much as possible, and the ordered development of the internet community is promoted.
Further, in one embodiment, as shown in FIG. 2, the method further includes steps S15-S17.
Step S15, obtaining the publication time and the current time of each article. That is, after a certain article is published, the publication time of the article is regularly counted, so that different weights are given to the article according to the newness and the old degree of the article in the follow-up process, the new article has a chance to compete with the old article, a higher rank is obtained, and the update of the new article and the old article in the internet community is promoted.
In step S16, the publication duration of each article is calculated. Wherein, the publication duration of the article is the current time minus the publication time. Of course, in the actual calculation process, a processing manner of a plurality of unit time periods may be adopted, and when the calculated length of time does not exceed a certain unit time period, statistics is performed according to the length of time of the previous time period, so as to reduce the calculation amount.
And step S17, carrying out attenuation factor assignment on the confidence interval according to the publication duration through a preset rule to obtain a new confidence interval.
In this step, a plurality of time intervals may be set, each time interval setting a respective attenuation factor. For example, the time intervals are divided according to the number of days, the attenuation factor of 1-3 days is 0.9, the attenuation factor of 4-7 days is 0.7, the attenuation factor of 8-15 days is 0.3 and the like, so that the confidence interval is correspondingly corrected according to the publication duration, and the updating of new and old articles of the community is promoted.
In summary, the article real-time ranking method provided by the invention first calculates the favorable rating of the votes in the total votes, then calculates the confidence interval of the favorable rating according to the number of the total votes, and performs real-time ranking of a plurality of articles according to the lower limit value of the confidence interval. For the articles with close evaluation rates, when the total number of votes is large, the confidence interval is narrow, and the lower limit value is large; if the total number of votes is small, the confidence interval is wide, and the lower limit value is small, so that the good evaluation rate of the articles can be corrected according to the number of samples, and the reasonability of real-time ranking of the articles is improved.
The invention also provides an article real-time ranking device 100 which is used for ranking articles of Internet communities such as forums, malls and the like according to popularity or goodness, so that articles with discussion values are screened out, and the ordered development of the Internet communities is promoted. It should be noted that the implementation principle and the implementation manner of the real-time article ranking apparatus 100 are consistent with the above-mentioned real-time article ranking method, and therefore, the following description is omitted.
As shown in fig. 3, the article real-time ranking apparatus 100 includes:
a vote number obtaining module 10, configured to obtain a real-time vote number of each article for a user; wherein the vote number comprises a positive vote and a negative vote;
the favorable rating calculation module 20 is used for calculating the ratio of the votes to obtain the favorable rating of each article;
the interval calculation module 30 is used for calculating a confidence interval of the good evaluation rate according to the number of votes according to a preset rule;
and the ranking comparison module 40 is used for comparing the lower limit value of the confidence interval of each article and ranking the corresponding articles in real time according to the order of the sizes.
Further, the interval calculation module 30 further includes:
the interval calculation unit is used for calculating a confidence interval through a preset interval calculation formula; the interval calculation formula is as follows:
wherein n is the number of votes, P is the goodness of appreciation, and z is the statistic of the preset confidence level.
Further, in an embodiment, as shown in fig. 4, the article real-time ranking apparatus 100 further includes:
a time obtaining module 50, configured to obtain publication time and current time of each article;
a time length calculating module 60, configured to calculate a publication time length of each article;
and the factor assignment module 70 is configured to perform attenuation factor assignment on the confidence interval according to the publication duration and a preset rule, so as to obtain a new confidence interval.
A third aspect of the present invention provides a terminal (not shown in the drawings), where the terminal includes a memory, a processor, and an article real-time ranking program stored in the memory and executable on the processor, and when executed by the processor, the article real-time ranking program implements the steps of the article real-time ranking method according to any one of the above embodiments.
A fourth aspect of the present invention provides a computer-readable storage medium (not shown in the drawings), which stores a real-time article ranking program, and when the real-time article ranking program is executed by a processor, the real-time article ranking program implements the steps of the real-time article ranking method according to any one of the above-mentioned embodiments.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and method steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed system or apparatus/terminal device and method can be implemented in other ways. For example, the above-described system or apparatus/terminal device embodiments are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The invention is not limited solely to that described in the specification and embodiments, and additional advantages and modifications will readily occur to those skilled in the art, so that the invention is not limited to the specific details, representative apparatus, and illustrative examples shown and described herein, without departing from the spirit and scope of the general concept as defined by the appended claims and their equivalents.
Claims (8)
1. A real-time article ranking method is characterized by comprising the following steps:
acquiring the real-time ticket casting number of each article by a user; wherein the number of votes comprises positive and negative votes;
calculating the proportion of the votes to the number of votes to obtain the favorable rating of each article;
calculating a confidence interval of the good evaluation rate according to a preset rule through the number of votes;
and comparing the lower limit value of the confidence interval of each article, and ranking the corresponding articles in real time according to the size sequence.
2. The method for real-time ranking of articles according to claim 1, wherein the step of calculating the confidence interval of the good rate through the number of votes according to a preset rule comprises the steps of:
calculating the confidence interval through a preset interval calculation formula; the interval calculation formula is as follows:
wherein n is the number of votes, P is the goodness of appreciation, and z is the statistic of the preset confidence level.
3. The method for real-time ranking of articles according to claim 1, further comprising the steps of:
obtaining publication time and current time of each article;
calculating publication duration of each article;
and carrying out attenuation factor assignment on the confidence interval according to the publication duration through a preset rule to obtain a new confidence interval.
4. An apparatus for real-time ranking of articles, comprising:
the system comprises a vote number acquisition module, a vote counting module and a vote counting module, wherein the vote number acquisition module is used for acquiring the real-time vote number of each article by a user; wherein the number of votes comprises positive and negative votes;
the favorable rating calculation module is used for calculating the proportion of the approved tickets to the number of votes to obtain the favorable rating of each article;
the interval calculation module is used for calculating a confidence interval of the good evaluation rate according to a preset rule through the number of votes;
and the ranking comparison module is used for comparing the lower limit value of the confidence interval of each article and ranking the corresponding articles in real time according to the order of the sizes.
5. The apparatus for real-time ranking of articles according to claim 4, wherein said interval calculation module further comprises:
the interval calculation unit is used for calculating the confidence interval through a preset interval calculation formula; the interval calculation formula is as follows:
wherein n is the number of votes, P is the goodness of appreciation, and z is the statistic of the preset confidence level.
6. The apparatus for real-time ranking of articles according to claim 4, further comprising:
the time acquisition module is used for acquiring publication time and current time of each article;
the time length calculating module is used for calculating the publication time length of each article;
and the factor assignment module is used for carrying out attenuation factor assignment on the confidence interval according to the publication duration through a preset rule to obtain a new confidence interval.
7. A terminal, characterized in that the terminal comprises a memory, a processor and an article real-time ranking program stored in the memory and executable on the processor, the article real-time ranking program, when executed by the processor, implementing the steps of the article real-time ranking method according to any one of claims 1-3.
8. A computer-readable storage medium, wherein the computer-readable storage medium stores a real-time article ranking program that, when executed by a processor, performs the steps of the method of real-time article ranking according to any of claims 1-3.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110156231.1A CN113051411A (en) | 2021-02-04 | 2021-02-04 | Article real-time ranking method and device, terminal and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110156231.1A CN113051411A (en) | 2021-02-04 | 2021-02-04 | Article real-time ranking method and device, terminal and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113051411A true CN113051411A (en) | 2021-06-29 |
Family
ID=76508751
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110156231.1A Pending CN113051411A (en) | 2021-02-04 | 2021-02-04 | Article real-time ranking method and device, terminal and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113051411A (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104298674A (en) * | 2013-07-17 | 2015-01-21 | 腾讯科技（北京）有限公司 | Method and device for displaying articles |
| CN104537059A (en) * | 2014-12-27 | 2015-04-22 | 小米科技有限责任公司 | Object ranking method and device |
| CN106354737A (en) * | 2015-07-24 | 2017-01-25 | 北京京东尚科信息技术有限公司 | Method and device for providing vote ranking information |
| CN109274987A (en) * | 2018-08-30 | 2019-01-25 | 武汉斗鱼网络科技有限公司 | A kind of video collection sort method, server and readable storage medium storing program for executing |
| CN111753124A (en) * | 2019-03-29 | 2020-10-09 | Tcl集团股份有限公司 | Music recommendation method and server |
-
2021
- 2021-02-04 CN CN202110156231.1A patent/CN113051411A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104298674A (en) * | 2013-07-17 | 2015-01-21 | 腾讯科技（北京）有限公司 | Method and device for displaying articles |
| CN104537059A (en) * | 2014-12-27 | 2015-04-22 | 小米科技有限责任公司 | Object ranking method and device |
| CN106354737A (en) * | 2015-07-24 | 2017-01-25 | 北京京东尚科信息技术有限公司 | Method and device for providing vote ranking information |
| CN109274987A (en) * | 2018-08-30 | 2019-01-25 | 武汉斗鱼网络科技有限公司 | A kind of video collection sort method, server and readable storage medium storing program for executing |
| CN111753124A (en) * | 2019-03-29 | 2020-10-09 | Tcl集团股份有限公司 | Music recommendation method and server |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Cahill et al. | Detecting fraud in the real world | |
| CN104050187B (en) | Search result methods of exhibiting and system | |
| CN107341268B (en) | Hot searching ranking method and system | |
| CN106355449A (en) | User selecting method and device | |
| CN104615741B (en) | Cold-start project recommendation method and device based on cloud computing | |
| CN106657073A (en) | Method and system for screening abnormal login users | |
| CN109767293A (en) | A kind of recommended method, device, equipment and readable storage medium storing program for executing | |
| CN106936778A (en) | The abnormal detection method of website traffic and device | |
| CN107705175B (en) | Method and device for determining similarity between user and merchant and electronic equipment | |
| CN109213554A (en) | A kind of icon layout method, computer readable storage medium and terminal device | |
| CN115203496A (en) | Project intelligent prediction and evaluation method and system based on big data and readable storage medium | |
| CN111524001A (en) | Method and device for predicting user credit line and related equipment | |
| CN108171570A (en) | A kind of data screening method, apparatus and terminal | |
| CN113051411A (en) | Article real-time ranking method and device, terminal and storage medium | |
| CN113609409A (en) | Method and system for recommending browsing information, electronic device and storage medium | |
| CN111325572B (en) | Data processing method and device | |
| CN108710635A (en) | A kind of content recommendation method and device | |
| CN107087034A (en) | Service management, apparatus and system | |
| CN111489190A (en) | Anti-cheating method and system based on user relationship | |
| CN116094969A (en) | Bandwidth adjustment method, device, equipment and storage medium | |
| WO2019237534A1 (en) | System component display method and apparatus, and readable storage medium and terminal device | |
| CN111324509B (en) | Identification method and device for application addiction | |
| CN111666486B (en) | Method and device for acquiring heat value | |
| CN107330732B (en) | Electronic product pricing method and server cluster | |
| CN113610627A (en) | Data processing method and device for risk early warning |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |