CN112818247A - Method for analyzing product popularity according to keywords - Google Patents
Method for analyzing product popularity according to keywords Download PDFInfo
- Publication number
- CN112818247A CN112818247A CN202110217776.9A CN202110217776A CN112818247A CN 112818247 A CN112818247 A CN 112818247A CN 202110217776 A CN202110217776 A CN 202110217776A CN 112818247 A CN112818247 A CN 112818247A
- Authority
- CN
- China
- Prior art keywords
- product
- keyword
- ranking
- keywords
- statistical table
- 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.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 31
- 230000001174 ascending effect Effects 0.000 claims description 15
- 238000002372 labelling Methods 0.000 claims 1
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000003203 everyday effect Effects 0.000 description 2
- 239000003086 colorant Substances 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000012544 monitoring process Methods 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
- G06F16/90—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
- G06F16/9535—Search customisation based on user profiles and personalisation
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0641—Shopping interfaces
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The invention relates to a method for analyzing the popularity of a product according to a keyword, which comprises the steps of inputting a preset product name into a product word stock, and inputting a preset keyword into a keyword word stock, wherein the keyword comprises the preset product name; sequentially searching keywords in each application store at regular time to obtain a product ranking list and storing the product ranking list in a database; the method comprises the steps of obtaining a product ranking list corresponding to keywords to be analyzed, classifying and displaying the product ranking list according to each application store to generate a keyword ranking statistical table, and marking product names in the keyword ranking statistical table as a first preset color if the product names in the keyword ranking statistical table exist in a product lexicon; the method comprises the steps of obtaining names of products to be analyzed, analyzing each product ranking list to obtain keywords capable of searching the product names from a keyword library, classifying all the keywords according to each application store to generate a keyword coverage statistical table, and marking the keywords in the product word library as a second preset color.
Description
Technical Field
The invention relates to the field of computer software, in particular to a method for analyzing the popularity of a product according to keywords.
Background
At present, for a company with multiple application products, keyword market ranking of each product of the company needs to be manually opened to open each application store and input each keyword for observation, then ranking conditions of the application products of the company are manually recorded, and the ranking conditions of the application products of the company need to be recorded every day to be compared with those recorded before, once data of the ranking conditions of the application products are not tracked in one day, the data cannot be supplemented, no market strategy can be made in time and pertinently, time and labor are consumed, keywords can be easily omitted for searching, and monitoring timeliness and continuity of the data cannot be effectively guaranteed. In addition, only the ranking of the application products of the search keywords can be seen on the application store, and the statistics on which keywords can be retrieved for a certain product cannot be carried out, so that the market popularity of the concerned product cannot be seen visually, a statistical form which the user wants cannot be formed, manual calculation is needed, and then a tool is used for drawing a chart, so that the requirement on the capability of the worker for using the tool is high.
Disclosure of Invention
Technical problem to be solved
In order to solve the above problems in the prior art, the present invention provides a method for analyzing the popularity of a product according to keywords, which can facilitate understanding of the popularity of an application product in an application store.
(II) technical scheme
In order to achieve the purpose, the invention adopts the technical scheme that: 1. a method for analyzing the popularity of a product based on keywords, comprising:
s1, inputting preset product names into a product word stock, and inputting preset keywords into a keyword word stock, wherein the keywords are names of all application products, and the keywords comprise the preset product names;
s2, sequentially searching the keywords in each application store at regular time to obtain a product ranking list, and storing the product ranking list in a database;
s3, obtaining the product ranking list corresponding to the keywords to be analyzed from the database, classifying and displaying the product ranking list according to each application store to generate a keyword ranking statistical table, and if the product name in the keyword ranking statistical table exists in the product thesaurus, marking the product name in the keyword ranking statistical table as a first preset color;
and obtaining the product name to be analyzed from a product word bank, analyzing each product ranking list, obtaining keywords capable of searching the product name from the keyword bank, classifying all the keywords according to each application store to generate a keyword coverage statistical table, and marking the keywords in the product word bank as a second preset color.
(III) advantageous effects
The invention has the beneficial effects that: by inputting the keywords into the keyword library and sequentially using the preset keywords in each application store to obtain the product ranking list of the keywords at regular time, the condition that the keywords are missed to be searched can be avoided, the integrity of the obtained product ranking list is ensured, and the timeliness and the continuity of the obtained data are ensured by obtaining the product ranking list at regular time. The ranking lists of the keywords to be analyzed in each application store can be classified and displayed and integrated into a keyword ranking statistical table, and the same product names in the keyword ranking statistical table and the product lexicon can be marked with a first preset color, so that a user can intuitively know the popularity of the names of the application products (the product names in the product lexicon) concerned by the user in each application market under the keyword search. In addition, the keyword conditions covered by the names of the application products concerned by the user (product names in the product thesaurus) can be intuitively obtained through analyzing each product ranking list, and a keyword covering statistical table is formed in an integrated mode, and the keywords in the keyword covering statistical table, which are the same as the product names in the product thesaurus, can be marked with a second preset color, so that the user can conveniently know the mutual correlation conditions of the names of the application products concerned by the user (product names in the product thesaurus) in the searching process of the application stores. Therefore, the method and the device can automatically generate the keyword ranking statistical table and the keyword coverage statistical table, do not need workers to process and draw the product ranking list, save manpower, can intuitively know the heat condition of the application product concerned by the workers, and are convenient for the users to use.
Drawings
FIG. 1 is a flow chart of a method of analyzing the popularity of a product based on keywords in accordance with the present invention;
FIG. 2 is a diagram illustrating the use of a keyword ranking statistics table according to the method of the present invention for analyzing the popularity of a product;
FIG. 3 is a schematic diagram illustrating the usage of a keyword coverage statistic table according to the method for analyzing the popularity of a product according to the present invention.
Detailed Description
For the purpose of better explaining the present invention and to facilitate understanding, the present invention will be described in detail by way of specific embodiments with reference to the accompanying drawings.
Referring to fig. 1, a method for analyzing the popularity of a product according to keywords includes:
s1, inputting preset product names into a product word stock, and inputting preset keywords into a keyword word stock, wherein the keywords are names of all application products, and the keywords comprise the preset product names;
s2, sequentially searching the keywords in each application store at regular time to obtain a product ranking list, and storing the product ranking list in a database;
s3, obtaining the product ranking list corresponding to the keywords to be analyzed from the database, classifying and displaying the product ranking list according to each application store to generate a keyword ranking statistical table, and if the product name in the keyword ranking statistical table exists in the product thesaurus, marking the product name in the keyword ranking statistical table as a first preset color;
and obtaining the product name to be analyzed from a product word bank, analyzing each product ranking list, obtaining keywords capable of searching the product name from the keyword bank, classifying all the keywords according to each application store to generate a keyword coverage statistical table, and marking the keywords in the product word bank as a second preset color.
From the above description, the beneficial effects of the present invention are: by inputting the keywords into the keyword library and sequentially using the preset keywords in each application store to obtain the product ranking list of the keywords at regular time, the condition that the keywords are missed to be searched can be avoided, the integrity of the obtained product ranking list is ensured, and the timeliness and the continuity of the obtained data are ensured by obtaining the product ranking list at regular time. The ranking lists of the keywords to be analyzed in each application store can be classified and displayed and integrated into a keyword ranking statistical table, and the same product names in the keyword ranking statistical table and the product lexicon can be marked with a first preset color, so that a user can intuitively know the popularity of the names of the application products (the product names in the product lexicon) concerned by the user in each application market under the keyword search. In addition, the keyword conditions covered by the names of the application products concerned by the user (product names in the product thesaurus) can be intuitively obtained through analyzing each product ranking list, and a keyword covering statistical table is formed in an integrated mode, and the keywords in the keyword covering statistical table, which are the same as the product names in the product thesaurus, can be marked with a second preset color, so that the user can conveniently know the mutual correlation conditions of the names of the application products concerned by the user (product names in the product thesaurus) in the searching process of the application stores. Therefore, the method and the device can automatically generate the keyword ranking statistical table and the keyword coverage statistical table, do not need workers to process and draw the product ranking list, save manpower, can intuitively know the heat condition of the application product concerned by the workers, and are convenient for the users to use.
Further, if the product name in the keyword ranking statistics table exists in the product thesaurus, the step of marking the product name in the keyword ranking statistics table as a first preset color includes:
acquiring a keyword ranking statistical table generated last time, and sequentially comparing the rankings of the same product names existing in the product word stock in the keyword ranking statistical table of the current time and the keyword ranking statistical table of the last time to obtain a lifting result;
if the ascending and descending result is that the rank is ascending, the name of the product with the ascending rank in the keyword ranking statistical table is named as a first preset color A;
if the ascending and descending result is that the rank is descending, the name of the product with the descending rank in the keyword ranking statistical table is named as a first preset color B;
and if the ascending and descending result is that the rank is unchanged, the product name with the unchanged rank in the keyword ranking statistical table is named as a first preset color C.
From the above description, the ranking change condition of the concerned product (product name in the product thesaurus) can be intuitively known through comparison with the keyword ranking statistical table generated last time and through different color labels.
Further, if the product name in the keyword ranking statistics table exists in the product thesaurus, the step of marking the product name in the keyword ranking statistics table as a first preset color further includes:
and acquiring a keyword ranking statistical table generated last time, comparing the rankings of the product names existing in the product thesaurus in the keyword ranking statistical table this time and the keyword ranking statistical table last time in sequence to obtain a difference value, and marking the difference value at the tail of the product names existing in the product thesaurus in the keyword ranking statistical table this time.
From the above description, the difference value can be obtained by comparing with the keyword ranking statistical table generated last time, and the difference value is labeled, so that the user can conveniently know the specific ranking change condition of the concerned product (the product name in the product word stock).
Further, the obtaining a product name to be analyzed from a product thesaurus, obtaining keywords capable of being searched for the product name from the keyword thesaurus, classifying all the keywords according to each application store to generate a keyword coverage statistical table, and marking the keywords existing in the product thesaurus as a second preset color includes:
obtaining a product name to be analyzed from a product word bank, obtaining keywords capable of searching the product name from the keyword bank, and classifying all the keywords according to each application store to generate a keyword coverage statistical table;
if the keyword in the keyword coverage statistical table is the same as the name of the product to be analyzed, marking the keyword as a second preset color A;
and if the keyword in the keyword coverage statistical table is different from the product name to be analyzed and exists in the product word stock, marking the keyword as a second preset color B.
It can be known from the above description that the keywords which are the same as or different from the product name to be analyzed and exist in the product thesaurus are identified by different colors, so that the user can conveniently check and analyze the keywords.
Further, the step S2 is followed by:
and obtaining a product ranking list obtained by searching according to each keyword, obtaining the ranking times of the product name to be analyzed in each product ranking list, and marking the ranking times at the tail of the keyword in the keyword coverage statistical table.
From the above description, the ranking of the keywords in the keyword coverage statistical table in the product thesaurus can be labeled in each product ranking list, so that the ranking condition of the application product in each application store under the keyword search can be conveniently known, and the popularity condition of the application products can be further conveniently analyzed.
Example one
Referring to fig. 1, a method for analyzing the popularity of a product according to keywords includes:
s1, inputting preset product names into a product word stock, and inputting preset keywords into a keyword word stock, wherein the keywords are names of all application products, and the keywords comprise the preset product names;
s2, sequentially searching the keywords in each application store at regular time to obtain a product ranking list, and storing the product ranking list in a database;
s3, obtaining the product ranking list corresponding to the keywords to be analyzed from the database, classifying and displaying the product ranking list according to each application store to generate a keyword ranking statistical table, and if the product name in the keyword ranking statistical table exists in the product thesaurus, marking the product name in the keyword ranking statistical table as a first preset color;
and obtaining the product name to be analyzed from a product word bank, analyzing each product ranking list, obtaining keywords capable of searching the product name from the keyword bank, classifying all the keywords according to each application store to generate a keyword coverage statistical table, and marking the keywords in the product word bank as a second preset color.
Specifically, in the process of sequentially searching in each application store by using keywords to obtain a product ranking list, searching is performed in the application store of a mobile terminal (such as a mobile phone, a tablet, and the like), if the product ranking list cannot be obtained through a corresponding interface of the mobile terminal, the product ranking list is obtained in the application store of a PC terminal, and if the application store does not have a corresponding product of the PC terminal, the product ranking list is selected to be obtained through other third-party statistical platforms (such as a seven-wheat data mobile promotion data analysis platform).
Specifically, the step of S2, sequentially searching the keywords in each app store at regular time to obtain a product ranking list includes: and sequentially searching the keywords in each application store at a fixed time point every day to obtain a product ranking list.
Specifically, the analyzing each product ranking list in S3, and the obtaining the keywords from the keyword library, where the keywords can be searched for the product name, includes: and analyzing each product ranking list, acquiring keywords capable of searching the product name from a keyword library, and if no matched keyword exists, not processing.
Wherein, if the product name in the keyword ranking statistics table exists in the product thesaurus, the step of marking the product name in the keyword ranking statistics table as a first preset color comprises:
acquiring a keyword ranking statistical table generated last time, and sequentially comparing the rankings of the same product names existing in the product word stock in the keyword ranking statistical table of the current time and the keyword ranking statistical table of the last time to obtain a lifting result;
if the ascending and descending result is that the rank is ascending, the name of the product with the ascending rank in the keyword ranking statistical table is named as a first preset color A;
if the ascending and descending result is that the rank is descending, the name of the product with the descending rank in the keyword ranking statistical table is named as a first preset color B;
and if the ascending and descending result is that the rank is unchanged, the product name with the unchanged rank in the keyword ranking statistical table is named as a first preset color C.
As shown in fig. 2, if the product name in the keyword ranking statistics table exists in the product thesaurus, the step of marking the product name in the keyword ranking statistics table as a first preset color further includes:
and acquiring a keyword ranking statistical table generated last time, comparing the rankings of the product names existing in the product thesaurus in the keyword ranking statistical table this time and the keyword ranking statistical table last time in sequence to obtain a difference value, and marking the difference value at the tail of the product names existing in the product thesaurus in the keyword ranking statistical table this time.
The method comprises the following steps of obtaining a product name to be analyzed from a product word bank, obtaining keywords capable of being searched for the product name from the keyword word bank, classifying all the keywords according to each application store to generate a keyword coverage statistical table, and marking the keywords existing in the product word bank as a second preset color, wherein the step of obtaining the product name to be analyzed from the product word bank comprises the following steps:
obtaining a product name to be analyzed from a product word bank, obtaining keywords capable of searching the product name from the keyword bank, and classifying all the keywords according to each application store to generate a keyword coverage statistical table;
if the keyword in the keyword coverage statistical table is the same as the name of the product to be analyzed, marking the keyword as a second preset color A;
and if the keyword in the keyword coverage statistical table is different from the product name to be analyzed and exists in the product word stock, marking the keyword as a second preset color B.
As shown in fig. 3, after S2, the method further includes:
and obtaining a product ranking list obtained by searching according to each keyword, obtaining the ranking times of the product name to be analyzed in each product ranking list, and marking the ranking times at the tail of the keyword in the keyword coverage statistical table.
In summary, according to the method for analyzing the product popularity according to the keywords, provided by the invention, the keywords are input into the keyword library, and the preset keywords are sequentially used at regular time to obtain the product ranking lists of the keywords in each application store, so that the condition of missing search of the keywords can be avoided, the integrity of the obtained product ranking lists is ensured, and the timeliness and the continuity of data acquisition are ensured by obtaining the product ranking lists at regular time. The ranking lists of the keywords to be analyzed in each application store can be classified and displayed and integrated into a keyword ranking statistical table, and the same product names in the keyword ranking statistical table and the product lexicon can be marked with a first preset color, so that a user can intuitively know the popularity of the names of the application products (the product names in the product lexicon) concerned by the user in each application market under the keyword search. In addition, the keyword conditions covered by the names of the application products concerned by the user (product names in the product thesaurus) can be intuitively obtained through analyzing each product ranking list, and a keyword covering statistical table is formed in an integrated mode, and the keywords in the keyword covering statistical table, which are the same as the product names in the product thesaurus, can be marked with a second preset color, so that the user can conveniently know the mutual correlation conditions of the names of the application products concerned by the user (product names in the product thesaurus) in the searching process of the application stores. Therefore, the method and the device can automatically generate the keyword ranking statistical table and the keyword coverage statistical table, do not need workers to process and draw the product ranking list, save manpower, can intuitively know the heat condition of the application product concerned by the workers, and are convenient for the users to use.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all equivalent changes made by using the contents of the present specification and the drawings, or applied directly or indirectly to the related technical fields, are included in the scope of the present invention.
Claims (5)
1. A method for analyzing the popularity of a product based on keywords, comprising:
s1, inputting preset product names into a product word stock, and inputting preset keywords into a keyword word stock, wherein the keywords are names of all application products, and the keywords comprise the preset product names;
s2, sequentially searching the keywords in each application store at regular time to obtain a product ranking list, and storing the product ranking list in a database;
s3, obtaining the product ranking list corresponding to the keywords to be analyzed from the database, classifying and displaying the product ranking list according to each application store to generate a keyword ranking statistical table, and if the product name in the keyword ranking statistical table exists in the product thesaurus, marking the product name in the keyword ranking statistical table as a first preset color;
and obtaining the product name to be analyzed from a product word bank, analyzing each product ranking list, obtaining keywords capable of searching the product name from the keyword bank, classifying all the keywords according to each application store to generate a keyword coverage statistical table, and marking the keywords in the product word bank as a second preset color.
2. The method of claim 1, wherein if a product name in the keyword ranking statistics table exists in the product thesaurus, the step of naming the product name in the keyword ranking statistics table as a first predetermined color comprises:
acquiring a keyword ranking statistical table generated last time, and sequentially comparing the rankings of the same product names existing in the product word stock in the keyword ranking statistical table of the current time and the keyword ranking statistical table of the last time to obtain a lifting result;
if the ascending and descending result is that the rank is ascending, the name of the product with the ascending rank in the keyword ranking statistical table is named as a first preset color A;
if the ascending and descending result is that the rank is descending, the name of the product with the descending rank in the keyword ranking statistical table is named as a first preset color B;
and if the ascending and descending result is that the rank is unchanged, the product name with the unchanged rank in the keyword ranking statistical table is named as a first preset color C.
3. The method of claim 1, wherein if the product name in the keyword ranking statistics table exists in the product thesaurus, the step of naming the product name in the keyword ranking statistics table as a first predetermined color further comprises:
and acquiring a keyword ranking statistical table generated last time, comparing the rankings of the product names existing in the product thesaurus in the keyword ranking statistical table this time and the keyword ranking statistical table last time in sequence to obtain a difference value, and marking the difference value at the tail of the product names existing in the product thesaurus in the keyword ranking statistical table this time.
4. The method of claim 1, wherein the step of obtaining a product name to be analyzed from a product thesaurus, obtaining keywords from which the product name can be searched, classifying all the keywords according to each of the application stores to generate a keyword coverage statistical table, and labeling the keywords in the product thesaurus with a second preset color comprises:
obtaining a product name to be analyzed from a product word bank, obtaining keywords capable of searching the product name from the keyword bank, and classifying all the keywords according to each application store to generate a keyword coverage statistical table;
if the keyword in the keyword coverage statistical table is the same as the name of the product to be analyzed, marking the keyword as a second preset color A;
and if the keyword in the keyword coverage statistical table is different from the product name to be analyzed and exists in the product word stock, marking the keyword as a second preset color B.
5. The method for analyzing the popularity of products according to the keywords, according to claim 1, wherein the step of S2 is further followed by the step of:
and obtaining a product ranking list obtained by searching according to each keyword, obtaining the ranking times of the product name to be analyzed in each product ranking list, and marking the ranking times at the tail of the keyword in the keyword coverage statistical table.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110217776.9A CN112818247B (en) | 2021-02-22 | 2021-02-22 | Method for analyzing product heat according to keywords |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110217776.9A CN112818247B (en) | 2021-02-22 | 2021-02-22 | Method for analyzing product heat according to keywords |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112818247A true CN112818247A (en) | 2021-05-18 |
| CN112818247B CN112818247B (en) | 2023-11-03 |
Family
ID=75864091
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110217776.9A Active CN112818247B (en) | 2021-02-22 | 2021-02-22 | Method for analyzing product heat according to keywords |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112818247B (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104063523A (en) * | 2014-07-21 | 2014-09-24 | 焦点科技股份有限公司 | E-commerce search scoring and ranking method and system |
| CN104199982A (en) * | 2014-09-25 | 2014-12-10 | 北京金山安全软件有限公司 | Method and device for displaying search keywords |
| CN104408189A (en) * | 2014-12-15 | 2015-03-11 | 北京国双科技有限公司 | Keyword ranking display method and device |
| CN105138540A (en) * | 2015-07-08 | 2015-12-09 | 北京博雅立方信息技术有限公司 | Promotion optimization method and device of promotion website |
| CN105760446A (en) * | 2016-02-03 | 2016-07-13 | 杭州驭猫科技有限公司 | Big data analysis method for shopping website |
| US20160328402A1 (en) * | 2015-05-06 | 2016-11-10 | App Annie Inc. | Keyword Reporting for Mobile Applications |
| CN107609203A (en) * | 2017-11-07 | 2018-01-19 | 安徽斯百德信息技术有限公司 | A kind of data analysis system and method for search engine optimization effect quantitative evaluation |
| CN108170665A (en) * | 2017-11-29 | 2018-06-15 | 有米科技股份有限公司 | Keyword expanding method and device based on comprehensive similarity |
-
2021
- 2021-02-22 CN CN202110217776.9A patent/CN112818247B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104063523A (en) * | 2014-07-21 | 2014-09-24 | 焦点科技股份有限公司 | E-commerce search scoring and ranking method and system |
| CN104199982A (en) * | 2014-09-25 | 2014-12-10 | 北京金山安全软件有限公司 | Method and device for displaying search keywords |
| CN104408189A (en) * | 2014-12-15 | 2015-03-11 | 北京国双科技有限公司 | Keyword ranking display method and device |
| US20160328402A1 (en) * | 2015-05-06 | 2016-11-10 | App Annie Inc. | Keyword Reporting for Mobile Applications |
| CN105138540A (en) * | 2015-07-08 | 2015-12-09 | 北京博雅立方信息技术有限公司 | Promotion optimization method and device of promotion website |
| CN105760446A (en) * | 2016-02-03 | 2016-07-13 | 杭州驭猫科技有限公司 | Big data analysis method for shopping website |
| CN107609203A (en) * | 2017-11-07 | 2018-01-19 | 安徽斯百德信息技术有限公司 | A kind of data analysis system and method for search engine optimization effect quantitative evaluation |
| CN108170665A (en) * | 2017-11-29 | 2018-06-15 | 有米科技股份有限公司 | Keyword expanding method and device based on comprehensive similarity |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112818247B (en) | 2023-11-03 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20140229475A1 (en) | Method and system for document presentation and analysis | |
| CN107844565B (en) | Commodity searching method and device | |
| US10891700B2 (en) | Methods and computer-program products for searching patent-related documents using search term variants | |
| US7752557B2 (en) | Method and apparatus of visual representations of search results | |
| CN109857938B (en) | Searching method and searching device based on enterprise information and computer storage medium | |
| EP2228737A2 (en) | Improving search effectiveness | |
| EP2368200A2 (en) | Interactively ranking image search results using color layout relevance | |
| CN107085583B (en) | Electronic document management method and device based on content | |
| CN102456054B (en) | A kind of searching method and system | |
| CN113065018A (en) | Audio and video index library creating and retrieving method and device and electronic equipment | |
| CN104408144B (en) | The detection method and device of web search keyword | |
| CA2779180C (en) | Locating ambiguities in data | |
| WO2023208246A1 (en) | Data management method and apparatus, device and storage medium | |
| CN104765747B (en) | Webpage processing method and device | |
| CN112818247B (en) | Method for analyzing product heat according to keywords | |
| CN115563189A (en) | Mass data query method based on data mining technology | |
| US20130304720A1 (en) | Methods and Apparatus for Presenting Search Results with Indication of Relative Position of Search Terms | |
| CN115858742A (en) | Question text expansion method, device, equipment and storage medium | |
| CN110442593B (en) | Cross-application sharing method based on user search information | |
| Bast et al. | ELEVANT: A fully automatic fine-grained entity linking evaluation and analysis tool | |
| CN112036982A (en) | Method and device for rapidly and automatically reflecting internet commodity change and terminal equipment | |
| WO2015143911A1 (en) | Method and device for pushing webpages containing time-relevant information | |
| US20130268510A1 (en) | Special form of presentation of search results | |
| CN110704729A (en) | Application search method and cloud server | |
| CN104657455B (en) | A kind of multidimensional information search method |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |