CN113869948A - Enterprise digital marketing open system platform - Google Patents

Enterprise digital marketing open system platform Download PDF

Info

Publication number
CN113869948A
CN113869948A CN202111135307.9A CN202111135307A CN113869948A CN 113869948 A CN113869948 A CN 113869948A CN 202111135307 A CN202111135307 A CN 202111135307A CN 113869948 A CN113869948 A CN 113869948A
Authority
CN
China
Prior art keywords
search
module
expansion
term
tag
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
Application number
CN202111135307.9A
Other languages
Chinese (zh)
Inventor
朱福旺
王雨佳
石绍福
李军
宋军
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Softisland Inc
Original Assignee
Softisland Inc
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Softisland Inc filed Critical Softisland Inc
Priority to CN202111135307.9A priority Critical patent/CN113869948A/en
Publication of CN113869948A publication Critical patent/CN113869948A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • 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
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201—Market modelling; Market analysis; Collecting market data
    • G06Q30/0202—Market predictions or forecasting for commercial activities
    • 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
    • G06F16/903—Querying
    • G06F16/9032—Query formulation
    • 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
    • G06F16/903—Querying
    • G06F16/9038—Presentation of query results

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Physics & Mathematics (AREA)
  • Business, Economics & Management (AREA)
  • Data Mining & Analysis (AREA)
  • Finance (AREA)
  • Strategic Management (AREA)
  • Development Economics (AREA)
  • Accounting & Taxation (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Computational Linguistics (AREA)
  • Marketing (AREA)
  • Mathematical Physics (AREA)
  • General Business, Economics & Management (AREA)
  • Economics (AREA)
  • Game Theory and Decision Science (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The invention provides an enterprise digital marketing open system platform, which comprises a retrieval word acquisition module, a retrieval expansion word module and a retrieval result generation module; the data output end of the search term acquisition module is connected with the data input end of the search expansion term module, and the data output end of the search expansion term module is connected with the data input end of the search result generation module; the search term obtaining module is used for obtaining a search term; the search expansion word module is used for generating search expansion words according to the search words acquired by the search word acquisition module; and the retrieval result generating module is used for obtaining the retrieval result according to the retrieval expansion words generated by the retrieval expansion word module. The invention can realize the visual display of the data through the keywords.

Description

Enterprise digital marketing open system platform
Technical Field
The invention relates to the technical field of keyword retrieval, in particular to an open system platform for enterprise digital marketing.
Background
With the advent of big data and intelligent era, the advertising industry is urgently required to create data core competitiveness. However, the amount of information obtained by using a keyword is localized, and it is important how to display more related content in a larger range.
Disclosure of Invention
The invention aims to at least solve the technical problems in the prior art, and particularly creatively provides an enterprise digital marketing open system platform.
In order to achieve the aim, the invention provides an enterprise digital marketing open system platform, which comprises a retrieval word acquisition module, a retrieval expansion word module and a retrieval result generation module;
the data output end of the search term acquisition module is connected with the data input end of the search expansion term module, and the data output end of the search expansion term module is connected with the data input end of the search result generation module;
the search term obtaining module is used for obtaining a search term;
the search expansion word module is used for generating search expansion words according to the search words acquired by the search word acquisition module;
and the retrieval result generating module is used for obtaining the retrieval result according to the retrieval expansion words generated by the retrieval expansion word module.
In a preferred embodiment of the present invention, in the search term obtaining module, the source of the search term is obtained by obtaining the search term through an API interface.
In a preferred embodiment of the present invention, in the search expansion word module, the following steps are included:
s21, generating a Tag label uniquely corresponding to the search expansion word for the search expansion word;
s22, judging whether the newly generated Tag exists in a Tag database, if not, storing the newly generated Tag in the Tag database to form one-to-one corresponding binding of the Tag in the Tag database and the search expansion word;
and S23, acquiring the address of the page to be displayed according to the search expansion words, attaching Tag labels corresponding to the search expansion words to the address of the page to be displayed, and displaying the page.
In a preferred embodiment of the present invention, the searching expansion word module further includes obtaining a first data traffic, where the first data traffic includes one or any combination of a display amount, a click amount, a cost amount, and a conversion amount; the acquired first data traffic is presented in one of a graph, a bar graph, or any combination in one of hourly, daily, monthly, quarterly.
In a preferred embodiment of the present invention, the retrieval result generating module further includes obtaining a second data traffic, where the second data traffic includes one or any combination of a display amount, a click amount, a cost amount, and a conversion amount; and displaying the acquired second data flow in the form of one of a graph, a bar chart or any combination in the form of one of hourly, daily, monthly and quarterly.
The invention also discloses a method of the enterprise digital marketing open system, which comprises the following steps:
s1, acquiring a search term, and generating a search expansion term according to the acquired search term;
s2, obtaining the search result according to the search expansion word generated in the step S1.
In a preferred embodiment of the present invention, in step S1, the source of the search term is obtained by obtaining the search term through the API interface.
In a preferred embodiment of the present invention, step S2 includes the following steps:
s21, generating a Tag label uniquely corresponding to the search expansion word for the search expansion word;
s213, P is P +1, and the sizes of P and P are determined as follows:
if P is less than P, go to step S22;
if P is not less than P, returning to step S212;
s22, judging whether the newly generated Tag exists in a Tag database, if not, storing the newly generated Tag in the Tag database to form one-to-one corresponding binding of the Tag in the Tag database and the search expansion word;
and S23, acquiring the address of the page to be displayed according to the search expansion words, attaching Tag labels corresponding to the search expansion words to the address of the page to be displayed, and displaying the page.
In a preferred embodiment of the present invention, in step S1, obtaining a first data traffic, where the first data traffic includes one or any combination of a display amount, a click amount, a cost amount, and a conversion amount; the acquired first data traffic is presented in one of a graph, a bar graph, or any combination in one of hourly, daily, monthly, quarterly.
In a preferred embodiment of the present invention, in step S1, a second data flow is obtained, where the second data flow includes one or any combination of a display amount, a click amount, a cost amount, and a conversion amount; and displaying the acquired second data flow in the form of one of a graph, a bar chart or any combination in the form of one of hourly, daily, monthly and quarterly.
In conclusion, due to the adoption of the technical scheme, the data can be visually displayed through the keywords.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a schematic block diagram of the process of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
The invention discloses an enterprise digital marketing open system platform, which comprises a retrieval word acquisition module, a retrieval expansion word module and a retrieval result generation module;
the data output end of the search term acquisition module is connected with the data input end of the search expansion term module, and the data output end of the search expansion term module is connected with the data input end of the search result generation module;
the search term obtaining module is used for obtaining a search term;
the search expansion word module is used for generating search expansion words according to the search words acquired by the search word acquisition module;
and the retrieval result generating module is used for obtaining the retrieval result according to the retrieval expansion words generated by the retrieval expansion word module.
In a preferred embodiment of the present invention, in the search term obtaining module, the source of the search term is obtained by obtaining the search term through an API interface.
In a preferred embodiment of the present invention, in the search expansion word module, the method for generating a search expansion word according to a search word includes the following steps:
s11, labeling the search terms in the search term database, wherein the labels are respectively the 1 st to-be-searched expansion term, the 2 nd to-be-searched expansion term, the 3 rd to-be-searched expansion term, … … th to-be-searched expansion term, and K is the total number of the search terms in the search term database; let k equal to 1;
s12, calculating the association degree of the expansion word to be searched and the search word, wherein the calculation method of the association degree of the expansion word to be searched and the search word is as follows:
Figure BDA0003282112160000041
wherein, cor(s)kAnd s) represents the kth expansion word s to be retrievedkThe degree of association with the search term s;
skrepresenting the kth expansion word to be retrieved;
s represents a search term;
μ denotes the tuning parameter, μ ∈ (0.956,1 ];
Figure BDA0003282112160000051
indicating the k-th expansion word s to be retrievedkA similarity value to the search term s;
Figure BDA0003282112160000052
Qsa word assignment representing a search word s;
i represents all search terms in the search term database; i ═ s1,s2,s3,…,sK}，s1Denotes the 1 st expansion word to be retrieved, s2Indicating the 2 nd expansion word to be retrieved, s3Denotes the 3 rd expansion word to be retrieved, sKRepresenting the K-th expansion word to be retrieved;
Figure BDA0003282112160000053
indicating the k-th expansion word s to be retrievedkThe Euclidean distance from the search term s;
Qmaxrepresents the maximum euclidean distance;
Figure BDA0003282112160000054
Figure BDA0003282112160000055
representing taking the maximum value;
Figure BDA0003282112160000056
the representation is based on a natural base number e,
Figure BDA0003282112160000057
is an index;
s13, when K is K +1, determining the relationship between K and K:
if K is less than or equal to K, returning to the step S12;
if K > K, return to step S14;
s14, arranging the association degrees in sequence from big to small, and taking the order of the association degrees first
Figure BDA0003282112160000058
The expansion words to be searched corresponding to the relevance are used as the search expansion words, and the relevance degrees are
Figure BDA0003282112160000059
Is a positive integer less than or equal to K.
In a preferred embodiment of the present invention, in the search expansion word module, the following steps are included:
s21, generating a Tag label uniquely corresponding to the search expansion word for the search expansion word, wherein the method for generating the Tag label comprises the following steps:
s211, numbering all the search expansion words, namely a 1 st search expansion word, a 2 nd search expansion word, a 3 rd search expansion word, … … and a P-th search expansion word, wherein P is the total number of all the search expansion words; let p be 1;
s212, calculating the unique Tag corresponding to the pth search expansion word, wherein the calculation method comprises the following steps:
Tag labelp＝Hashingj[extended wordsp]，
wherein, Hashing [ ] represents Hashing operation, preferably MD5 operation is adopted;
extended wordsprepresenting the p-th search expansion word; p ═ 1, 2, 3, … … P; extended words1Indicating search extension words, 1 st2Indicating extended words, 2 nd search3Indicating extended words, 3 rd searchPRepresenting a P-th search expansion word;
Tag labelprepresents the p-th search extension wordspA corresponding unique Tag label; tag label1Represent 1 st search extended words1Corresponding unique Tag label, Tag label2Indicating 2 nd search expansion wordextended words2A corresponding unique Tag label; tag label3Represent the extended words of the 3 rd search3A corresponding unique Tag label; tag labelPRepresents the P-th search extension wordsPA corresponding unique Tag label;
j represents the number of expansions; preferably, j is 1;
when the j is 1, the process is repeated,
Figure BDA0003282112160000061
when the j is 2, the number of the adjacent groups is increased,
Figure BDA0003282112160000062
when the j is 3, the number of the adjacent groups,
Figure BDA0003282112160000063
when the j is 4, the number of the adjacent groups is 4,
Figure BDA0003282112160000064
when the j is 5, the number of the first-step reaction,
Figure BDA0003282112160000071
s213, P is P +1, and the sizes of P and P are determined as follows:
if P is less than P, go to step S22;
if P is not less than P, returning to step S212;
s22, judging whether the newly generated Tag exists in a Tag database, if not, storing the newly generated Tag in the Tag database to form one-to-one corresponding binding of the Tag in the Tag database and the search expansion word;
and S23, acquiring the address of the page to be displayed according to the search expansion words, attaching Tag labels corresponding to the search expansion words to the address of the page to be displayed, and displaying the page.
In a preferred embodiment of the present invention, the searching expansion word module further includes obtaining a first data traffic, where the first data traffic includes one or any combination of a display amount, a click amount, a cost amount, and a conversion amount; the acquired first data traffic is presented in one of a graph, a bar graph, or any combination in one of hourly, daily, monthly, quarterly.
In a preferred embodiment of the present invention, the retrieval result generating module further includes obtaining a second data traffic, where the second data traffic includes one or any combination of a display amount, a click amount, a cost amount, and a conversion amount; and displaying the acquired second data flow in the form of one of a graph, a bar chart or any combination in the form of one of hourly, daily, monthly and quarterly.
The invention also discloses a method of the enterprise digital marketing open system, which comprises the following steps as shown in figure 1:
s1, acquiring a search term, and generating a search expansion term according to the acquired search term;
s2, obtaining the search result according to the search expansion word generated in the step S1.
In a preferred embodiment of the present invention, in step S1, the source of the search term is obtained by obtaining the search term through the API interface.
In a preferred embodiment of the present invention, in step S1, the method for generating a search expansion word from a search term includes the following steps:
s11, labeling the search terms in the search term database, wherein the labels are respectively the 1 st to-be-searched expansion term, the 2 nd to-be-searched expansion term, the 3 rd to-be-searched expansion term, … … th to-be-searched expansion term, and K is the total number of the search terms in the search term database; let k equal to 1;
s12, calculating the association degree of the expansion word to be searched and the search word, wherein the calculation method of the association degree of the expansion word to be searched and the search word is as follows:
Figure BDA0003282112160000081
wherein, cor(s)kAnd s) represents the kth expansion word s to be retrievedkThe degree of association with the search term s;
skrepresenting the kth expansion word to be retrieved;
s represents a search term;
μ denotes the tuning parameter, μ ∈ (0.956,1 ];
Figure BDA0003282112160000082
indicating the k-th expansion word s to be retrievedkA similarity value to the search term s;
Figure BDA0003282112160000083
Qsa word assignment representing a search word s;
i represents all search terms in the search term database; i ═ s1,s2,s3,…,sK}，s1Denotes the 1 st expansion word to be retrieved, s2Indicating the 2 nd expansion word to be retrieved, s3Denotes the 3 rd expansion word to be retrieved, sKRepresenting the K-th expansion word to be retrieved;
Figure BDA0003282112160000091
indicating the k-th expansion word s to be retrievedkThe Euclidean distance from the search term s;
Qmaxrepresents the maximum euclidean distance;
Figure BDA0003282112160000092
Figure BDA0003282112160000093
representing taking the maximum value;
Figure BDA0003282112160000094
the representation is based on a natural base number e,
Figure BDA0003282112160000095
is an index;
s13, when K is K +1, determining the relationship between K and K:
if K is less than or equal to K, returning to the step S12;
if K > K, return to step S14;
s14, arranging the association degrees in sequence from big to small, and taking the order of the association degrees first
Figure BDA0003282112160000096
The expansion words to be searched corresponding to the relevance are used as the search expansion words, and the relevance degrees are
Figure BDA0003282112160000097
Is a positive integer less than or equal to K.
In a preferred embodiment of the present invention, step S2 includes the following steps:
s21, generating a Tag label uniquely corresponding to the search expansion word for the search expansion word, wherein the method for generating the Tag label comprises the following steps:
s211, numbering all the search expansion words, namely a 1 st search expansion word, a 2 nd search expansion word, a 3 rd search expansion word, … … and a P-th search expansion word, wherein P is the total number of all the search expansion words; let p be 1;
s212, calculating the unique Tag corresponding to the pth search expansion word, wherein the calculation method comprises the following steps:
Tag labelp＝Hashingj[extended wordsp]，
wherein, Hashing [ ] represents Hashing operation, preferably MD5 operation is adopted;
extended wordsprepresenting the p-th search expansion word; p ═ 1, 2, 3, … … P; extended words1Indicating search extension words, 1 st2Indicating extended words, 2 nd search3Indicating extended words, 3 rd searchPRepresenting a pth search extensionA word;
Tag labelprepresents the p-th search extension wordspA corresponding unique Tag label; tag label1Represent 1 st search extended words1Corresponding unique Tag label, Tag label2Extended words representing search 2 nd2A corresponding unique Tag label; tag label3Represent the extended words of the 3 rd search3A corresponding unique Tag label; tag labelPRepresents the P-th search extension wordsPA corresponding unique Tag label;
j represents the number of expansions;
s213, P is P +1, and the sizes of P and P are determined as follows:
if P is less than P, go to step S22;
if P is not less than P, returning to step S212;
s22, judging whether the newly generated Tag exists in a Tag database, if not, storing the newly generated Tag in the Tag database to form one-to-one corresponding binding of the Tag in the Tag database and the search expansion word;
and S23, acquiring the address of the page to be displayed according to the search expansion words, attaching Tag labels corresponding to the search expansion words to the address of the page to be displayed, and displaying the page.
In a preferred embodiment of the present invention, in step S1, obtaining a first data traffic, where the first data traffic includes one or any combination of a display amount, a click amount, a cost amount, and a conversion amount; the acquired first data traffic is presented in one of a graph, a bar graph, or any combination in one of hourly, daily, monthly, quarterly. The first data traffic is obtained from the search engine provider (hundredths, google, dog, etc.). The display amount is the number of times of display on a display page after search by a keyword (search term); the click rate is the number of times of displaying and clicking a corresponding jump page on a display page after searching through a keyword (search term); cost estimate x λ1+Click amount×λ2The Cost amount, the Reveal amount, the Click amount, and the lambda are respectively expressed by the Cost amount, the Reveal amount, the Click amount, and the lambda1Represents a display cost coefficient, λ2Represents the click-through cost coefficient, λ2＞λ1And λ1Is a positive number;
Figure BDA0003282112160000101
conversion rate represents the Conversion amount.
In a preferred embodiment of the present invention, in step S1, a second data flow is obtained, where the second data flow includes one or any combination of a display amount, a click amount, a cost amount, and a conversion amount; and displaying the acquired second data flow in the form of one of a graph, a bar chart or any combination in the form of one of hourly, daily, monthly and quarterly. The second data traffic is obtained from a user. The display amount is the number of times of displaying on a display page through searching for the expansion words (keywords); the click rate is the number of times of displaying on a display page and jumping to a user page through searching for an expansion word (keyword); cost _ estimate' x λ3+Click amount′×λ4The Cost account ' represents the user Cost amount, the Reveal account ' represents the user display amount, the Click account ' represents the user Click amount, and lambda3Cost coefficient, lambda, representing the user exposure4Cost coefficient, λ, representing the user's click-through4＞λ3And λ3Is a positive number;
Figure BDA0003282112160000111
conversion rate' represents the user Conversion amount.
While embodiments of the invention have been shown and described, it will be understood by those of ordinary skill in the art that: various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.

Claims (10)

1. An enterprise digital marketing open system platform is characterized by comprising a search term acquisition module, a search expansion term module and a search result generation module;
the data output end of the search term acquisition module is connected with the data input end of the search expansion term module, and the data output end of the search expansion term module is connected with the data input end of the search result generation module;
the search term obtaining module is used for obtaining a search term;
the search expansion word module is used for generating search expansion words according to the search words acquired by the search word acquisition module;
and the retrieval result generating module is used for obtaining the retrieval result according to the retrieval expansion words generated by the retrieval expansion word module.
2. The open system platform for enterprise digital marketing according to claim 1, wherein in the search term obtaining module, the search term is obtained through an API interface.
3. The open system platform for enterprise digital marketing according to claim 1, characterized in that in the search expansion word module, the following steps are included:
s21, generating a Tag label uniquely corresponding to the search expansion word for the search expansion word;
s22, judging whether the newly generated Tag exists in a Tag database, if not, storing the newly generated Tag in the Tag database to form one-to-one corresponding binding of the Tag in the Tag database and the search expansion word;
and S23, acquiring the address of the page to be displayed according to the search expansion words, attaching Tag labels corresponding to the search expansion words to the address of the page to be displayed, and displaying the page.
4. The open system platform for enterprise digital marketing according to claim 1, wherein the search expansion word module further comprises a step of obtaining a first data traffic, wherein the first data traffic comprises one or any combination of exposure amount, click amount, cost amount and conversion amount; the acquired first data traffic is presented in one of a graph, a bar graph, or any combination in one of hourly, daily, monthly, quarterly.
5. The open system platform for enterprise digital marketing according to claim 1, wherein the retrieval result generation module further obtains a second data traffic, wherein the second data traffic includes one or any combination of exposure amount, click amount, cost amount and conversion amount; and displaying the acquired second data flow in the form of one of a graph, a bar chart or any combination in the form of one of hourly, daily, monthly and quarterly.
6. A method of an enterprise digital marketing open system is characterized by comprising the following steps:
s1, acquiring a search term, and generating a search expansion term according to the acquired search term;
s2, obtaining the search result according to the search expansion word generated in the step S1.
7. The method of claim 6, wherein in step S1, the search term is obtained from an API interface.
8. The method of the open system for enterprise digital marketing according to claim 6, wherein in step S2, the method comprises the following steps:
s21, generating a Tag label uniquely corresponding to the search expansion word for the search expansion word;
s213, P is P +1, and the sizes of P and P are determined as follows:
if P is less than P, go to step S22;
if P is not less than P, returning to step S212;
s22, judging whether the newly generated Tag exists in a Tag database, if not, storing the newly generated Tag in the Tag database to form one-to-one corresponding binding of the Tag in the Tag database and the search expansion word;
and S23, acquiring the address of the page to be displayed according to the search expansion words, attaching Tag labels corresponding to the search expansion words to the address of the page to be displayed, and displaying the page.
9. The method of the open system for digital marketing of enterprises in claim 6, wherein the step S1 further comprises obtaining a first data traffic, wherein the first data traffic comprises one or any combination of exposure amount, click amount, cost amount, and conversion amount; the acquired first data traffic is presented in one of a graph, a bar graph, or any combination in one of hourly, daily, monthly, quarterly.
10. The method of the open system for digital marketing of enterprises in claim 6, wherein the step S1 further comprises obtaining a second data traffic, wherein the second data traffic comprises one or any combination of exposure amount, click amount, cost amount, and conversion amount; and displaying the acquired second data flow in the form of one of a graph, a bar chart or any combination in the form of one of hourly, daily, monthly and quarterly.
CN202111135307.9A 2021-09-27 2021-09-27 Enterprise digital marketing open system platform Pending CN113869948A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111135307.9A CN113869948A (en) 2021-09-27 2021-09-27 Enterprise digital marketing open system platform

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111135307.9A CN113869948A (en) 2021-09-27 2021-09-27 Enterprise digital marketing open system platform

Publications (1)

Publication Number Publication Date
CN113869948A true CN113869948A (en) 2021-12-31

Family

ID=78991139

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111135307.9A Pending CN113869948A (en) 2021-09-27 2021-09-27 Enterprise digital marketing open system platform

Country Status (1)

Country Link
CN (1) CN113869948A (en)

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060206472A1 (en) * 2005-03-14 2006-09-14 Fuji Xerox Co., Ltd. Question answering system, data search method, and computer program
TW201128416A (en) * 2010-02-11 2011-08-16 Alibaba Group Holding Ltd Search result generating method and information search system
CN104182442A (en) * 2014-03-28 2014-12-03 无锡天脉聚源传媒科技有限公司 News searching method and device
CN104392003A (en) * 2014-12-15 2015-03-04 北京国双科技有限公司 Displaying method and device for network search keywords
CN108959314A (en) * 2017-05-24 2018-12-07 西安科技大市场创新云服务股份有限公司 A kind of semantic retrieving method and device
CN112559895A (en) * 2021-02-19 2021-03-26 深圳平安智汇企业信息管理有限公司 Data processing method and device, electronic equipment and storage medium

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060206472A1 (en) * 2005-03-14 2006-09-14 Fuji Xerox Co., Ltd. Question answering system, data search method, and computer program
TW201128416A (en) * 2010-02-11 2011-08-16 Alibaba Group Holding Ltd Search result generating method and information search system
CN104182442A (en) * 2014-03-28 2014-12-03 无锡天脉聚源传媒科技有限公司 News searching method and device
CN104392003A (en) * 2014-12-15 2015-03-04 北京国双科技有限公司 Displaying method and device for network search keywords
CN108959314A (en) * 2017-05-24 2018-12-07 西安科技大市场创新云服务股份有限公司 A kind of semantic retrieving method and device
CN112559895A (en) * 2021-02-19 2021-03-26 深圳平安智汇企业信息管理有限公司 Data processing method and device, electronic equipment and storage medium

Similar Documents

Publication Publication Date Title
CN1623146B (en) Systems, methods and software for hyperlinking names
US8190556B2 (en) Intellegent data search engine
US7386438B1 (en) Identifying language attributes through probabilistic analysis
US8145618B1 (en) System and method for determining a composite score for categorized search results
US7788265B2 (en) Taxonomy-based object classification
US8126888B2 (en) Methods for enhancing digital search results based on task-oriented user activity
US8706748B2 (en) Methods for enhancing digital search query techniques based on task-oriented user activity
US20090063500A1 (en) Extracting data content items using template matching
CN111125086B (en) Method, device, storage medium and processor for acquiring data resources
CN102722498B (en) Search engine and implementation method thereof
KR20090010185A (en) Method and system for managing single and multiple taxonomies
CN110866018B (en) Steam-massage industry data entry and retrieval method based on label and identification analysis
CN111782763A (en) Information retrieval method based on voice semantics and related equipment thereof
US20070192292A1 (en) Searching for services in natural language
CN1601524A (en) Fuzzy inquiry system and method
CN111753151A (en) Service recommendation method based on internet user behaviors
CN113869948A (en) Enterprise digital marketing open system platform
US20130304720A1 (en) Methods and Apparatus for Presenting Search Results with Indication of Relative Position of Search Terms
CN113868447A (en) Picture retrieval method, electronic device and computer-readable storage medium
CN114003750A (en) Material online method, device, equipment and storage medium
CN111368055A (en) Retrieval method and device for patent database combined enterprise information platform
CN1253336A (en) Method and equipment for making data as mobile information storage
CN111144113B (en) Method and system for matching capability model with work order based on machine learning
CN110390101B (en) Nonstandard design judgment method and device for entity contract remarks and computer equipment
CN116431711B (en) Data intelligent acquisition method and system based on data characteristics

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