CN112948713B - Suggested search term determining method, device, server and medium - Google Patents
Suggested search term determining method, device, server and medium Download PDFInfo
- Publication number
- CN112948713B CN112948713B CN202110145180.2A CN202110145180A CN112948713B CN 112948713 B CN112948713 B CN 112948713B CN 202110145180 A CN202110145180 A CN 202110145180A CN 112948713 B CN112948713 B CN 112948713B
- Authority
- CN
- China
- Prior art keywords
- search
- determining
- suggested
- words
- user
- 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.)
- Active
Links
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
- G06F16/9537—Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
-
- 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
- G06F16/9532—Query formulation
Landscapes
- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Mathematical Physics (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The embodiment of the invention discloses a method, a device, a server and a medium for determining suggested search words. The method comprises the following steps: acquiring a typed search term input by a user; determining relevant search words from a search word database according to the typed search words; and acquiring the position information of the user, and determining suggested search words according to the position information and the related search words. According to the technical scheme provided by the embodiment of the invention, the related search words are further optimized, the accuracy of the suggested search words is improved, the problem that the optimization of the search suggested words cannot be performed aiming at the current region of the user is solved, the suggested search words containing regional characteristics are provided for the user, and the provided suggested search words are more in line with the needs of the user.
Description
Technical Field
The embodiment of the invention relates to the technical field of searching, in particular to a method, a device, a server and a medium for determining suggested search words.
Background
In recent years, in the internet service technology, searching has become an indispensable link, and search suggestions are the standard of mature search services. The search suggestion enables a user to select a term meeting the expected requirement from the search suggestion prompt words without inputting complete search words and only by inputting partial keywords, and the user can search to obtain a desired result by clicking.
The implementation process of search suggestion in the industry is commonly performed as follows: a method of providing search suggestions includes obtaining input search terms in a search box of a search interface and determining a set of suggested search terms associated with the input search terms, and in response to selection of a suggested search term of the set of suggested search terms, performing a search by using the input search terms and the selected suggested search term as search keywords.
The scheme can solve most of problems in some general scenes, such as the field of electronic commerce. But in the search medical service scenario, the user is more required to obtain the search suggestion words of the service existing in the current region so as to obtain the service search result of the current region preferentially.
Disclosure of Invention
The embodiment of the invention provides a method, a device, a server and a medium for determining suggested search words, which are used for providing suggested search words containing regional characteristics for users, so that the provided suggested search words more meet the needs of the users.
In a first aspect, an embodiment of the present invention provides a method for determining suggested search terms, where the method includes:
acquiring a typed search term input by a user;
determining relevant search words from a search word database according to the typed search words;
and acquiring the position information of the user, and determining suggested search words according to the position information and the related search words.
In a second aspect, an embodiment of the present invention further provides a suggested search term determining apparatus, where the apparatus includes:
the input search word acquisition module is used for acquiring input search words input by a user;
the related search word acquisition module is used for acquiring related search words related to the key-in search words from a database;
and the suggested search word determining module is used for acquiring the position information of the user and determining suggested search words according to the position information and the related search words.
In a third aspect, an embodiment of the present invention further provides a server, where the server includes:
one or more processors;
a storage means for storing one or more programs;
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the suggested search term determination method as provided by any embodiment of the present invention.
In a fourth aspect, embodiments of the present invention also provide a computer readable storage medium having a computer program stored thereon, wherein the program when executed by a processor implements a suggested search term determining method as provided by any embodiment of the present invention.
According to the technical scheme, the key-in search word input by the user is obtained; obtaining search requirements of a user according to the typed search words, so as to match suggested search words which more meet the requirements of the user from a database; determining relevant search words from a search word database according to the typed search words; screening search words in a database, acquiring related search words with high similarity to typed search words, acquiring position information of a user, determining suggested search words according to the position information and the related search words, screening the related search words through the position information to determine the suggested search words, further optimizing the related search words, improving the accuracy of the suggested search words, solving the problem that the optimization of the search suggested words cannot be carried out aiming at the current region of the user, realizing the provision of the suggested search words comprising regional characteristics to the user, and enabling the provided suggested search words to more meet the effect required by the user.
Drawings
FIG. 1 is a flow chart of a suggested search term determination method in accordance with a first embodiment of the present invention;
FIG. 2 is a flow chart of a suggested search term determination method in a second embodiment of the present invention;
FIG. 3 is a block diagram of a suggested search term determining apparatus in accordance with a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of a server according to a fourth embodiment of the present invention.
Detailed Description
The invention is described in further detail below with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting thereof. It should be further noted that, for convenience of description, only some, but not all of the structures related to the present invention are shown in the drawings.
Example 1
Fig. 1 is a flowchart of a suggested search term determining method according to an embodiment of the present invention, where the method may be applied to determining suggested search terms, and the method may be performed by a suggested search term determining device, and specifically includes the following steps:
s110, obtaining the input search word input by the user.
When the opening operation of the search interface is obtained, the search interface is displayed through the display device, the search interface comprises a search box, and the typed search word input by the user is obtained through the search box. Alternatively, the typed search term entered by the user may be a word, a plurality of words, or a sentence. By way of example, the typed search term entered by the user may be a search term associated with a healthcare service, or the search interface may be a web page associated with a healthcare service. For example, when the user needs to search for the medical registration service, a word of "medical registration" is input in a search box of the search interface, and the current user's typed search word is obtained as "medical registration" through the search box. The search requirements of the user can be obtained by typing in the search terms, so that suggested search terms which are more in line with the requirements of the user are matched from the database.
S120, determining relevant search words from a search word database according to the input search words.
The search term database is maintained in advance, and each term is stored in the form of a document in the search term database, and corresponds to one document. Alternatively, the term may include a word, a plurality of words, or a sentence. According to the obtained input search words input by the user through the search box of the search interface, the entries in the search database are screened, and further, the related search words with high similarity with the input search words are determined from the entries in the search word database, so that the obtained related search words can be related to the needs of the user.
Optionally, determining relevant search terms from the search term database according to the typed search terms includes: calculating the similarity between the typed search word and the search word stored in the search word database; and sequencing the similarity according to a preset sequencing rule, and determining the search word corresponding to the similarity in a preset sequence range as the related search word. When obtaining related search words related to the typed search words from the search word database, the similarity between the typed search words and the search terms stored in the database needs to be calculated, and the search terms stored in the database are ranked according to the similarity, and can be ranked in ascending order and descending order. For example, when descending order ranking is adopted, all terms with similarity before the preset order are taken to be determined as related search terms, for example, terms with similarity corresponding to the fifth order and the previous order are taken to be determined as related search terms.
Alternatively, the similarity of a given typed search term q to a term d in a given search term database is calculated using the following formula,
the Score (q, d) is the similarity between the typed search word q and the term d in the search word database, and t is the term obtained by word segmentation and language processing of the typed search word; q is a typed search term comprising a plurality of terms t; tf (t in d) is the term frequency of occurrence of term t in term d stored in the database; idf (t) is that term t occurs in several terms; the getboost () is the weight of each term in the search term entered for the query, and can set a term in the query to be more important; norm (t, d) is a normalization factor that includes three parameters: document boost: the larger this value, the more important this term is, the Field boost: the larger this value, the more important this attribute in each term is explained. lengthNorm (field) = (1.0/math.sqrt (numTerms)): the more terms are included in an attribute, i.e., the longer the term, the smaller the value, the shorter the term, and the larger the value; a search of chord (q, d) may contain a plurality of search terms, and a term may also contain a plurality of search terms, which means that the more search terms that are contained in a term, the higher the similarity of the term; the queryNorm (q) is a sum of variances for each typed search term that does not affect the ranking, but merely allows the scores between different typed search terms to be compared.
S130, acquiring the position information of the user, and determining suggested search words according to the position information and related search words.
When the clicking operation of the user on the search page is detected, the search page is displayed through a display, at the moment, an authorization window for acquiring the current position information of the user is displayed through a display interface, when the authorizing operation of the user on the acquisition of the position information is detected, the position information of the user is acquired, and the suggested search word is determined according to the position information and the determined related search word.
Optionally, obtaining location information of the user includes: when the authorization operation of the user for acquiring the position information is detected, a software development kit of the map software is called to acquire the position information of the user at present. When the clicking operation of the user agreeing to acquire the current position information is acquired, the software development kit of the map software is called, so that the current position information of the user can be quickly acquired, related search words are further optimized, illegal acquisition of the position information of the user is avoided, and protection of the position information of the user is enhanced.
Optionally, determining suggested search terms according to the location information and the related search terms includes: acquiring regional attributes of the related search words; determining the weight of the related search word according to the regional attribute and the position information; and determining the suggested search term according to the weight and the related search term. The regional attribute of each term in the search term database is maintained in advance, the regional attribute of each related search term is obtained, the regional attribute is compared with the position information of the user, and the weight of each related search term is determined, so that the suggested search term is determined, the determined suggested search term contains the regional attribute, and the actual requirement of the user can be met more.
Optionally, determining the weight of the related search term according to the region attribute and the location information includes: determining a positional deviation of the regional attribute and the positional information; and determining the weight of the related search word according to the position deviation. Optionally, comparing the regional attribute of the related search word with the current position of the user to obtain the position deviation of the regional attribute and the current position of the user, setting the weight of the corresponding related search word to be 1 when the regional attribute and the current position are different positions, and setting the weight of the corresponding related search word to be a value larger than 1 when the regional attribute and the current position are the same.
Optionally, the weight of the related search term may be set according to the deviation degree of the regional attribute and the position information, alternatively, the administrative division level of the regional attribute and the position information may be provincial, urban or directly administered urban, when the positions of the regional attribute and the position information are the same, and the administrative division level is the same, the regional attribute of the related search term is completely matched, and exemplary, the regional attribute of the related search term is Tianjin city, and the current position information of the user is Tianjin city, and if the current position information of the user is Tianjin city, the two are completely matched, and the highest weight is set. When the administrative division levels of the regional attribute and the position information are different, judging whether the administrative division of the regional attribute and the position information has a relation between the contained relation and the contained relation, wherein the weight of the contained relation or the contained relation is larger than that of the relation which is not contained or not contained. When the region attribute of the related search word and the current position information of the user do not have a contained or contained relation, the weight of the related search word is determined according to the region attribute and the geographic position of the current position information of the user, and the region attribute of the related search word 1 is Jiangsu province, the region attribute of the related search word 2 is Henan city, the current position of the user is Shijiuang city, the three do not have a contained or contained relation, and the Jiangsu province is farther away from the Shijiuang city than the Henan city, so the weight of the related search word 1 is set to be smaller than the weight of the related search word 2.
Optionally, determining the suggested search term according to the weight and the related search term includes: sorting the related search terms according to the weights; and determining the related search words in a preset sequence range as the suggested search words. Multiplying the similarity of the related search words and the typed search words by the corresponding weight, sorting after multiplying the similarity by the weight, and sorting in ascending order or descending order. An exemplary total of 15 related search words are sorted in descending order according to the weight of each related search word, and the related search word with the top 10 bits in order is determined as the suggested search word. Before the related search words are ranked according to the weights, the related search words can be ranked according to the similarity and the search heat, the similarity and the corresponding weights corresponding to the ranked related search words are multiplied, and the related search words before the preset sequence are ranked again after the multiplication of the three, and are the suggested search words. The addition of search hotness can enable the determined suggested search terms to be approved by multiple persons, further improve the suitability of the suggested search terms for users, and drain the following services.
According to the technical scheme, the key-in search words input by the user are obtained; obtaining search requirements of a user according to the typed search words, so as to match suggested search words which more meet the requirements of the user from a database; determining relevant search words from a search word database according to the typed search words; screening search words in a database, acquiring related search words with high similarity to typed search words, acquiring position information of a user, determining suggested search words according to the position information and the related search words, screening the related search words through the position information to determine the suggested search words, further optimizing the related search words, improving the accuracy of the suggested search words, solving the problem that the optimization of the suggested search words cannot be carried out aiming at the current region of the user, realizing the provision of the suggested search words comprising regional characteristics to the user, and enabling the provided suggested search words to meet the effect of the user more.
Example two
Fig. 2 is a flowchart of a suggested search term determining method according to a second embodiment of the present invention, where the method further includes: displaying the suggested search term; detecting a selection operation of the suggested search term, and determining a selected target suggested search term according to the selection operation; and executing search operation according to the target suggested search word and the typed search word. The suggested search words are displayed for the user, so that the target suggested search words selected by the user are more in line with the search needs of the user, the target suggested search words selected by the user and the typed search words typed by the user are executed together to perform search operation, the search results are more in line with the needs of the user, and the accuracy of the search results is improved.
As shown in fig. 2, the method specifically comprises the following steps:
s210, obtaining the input search word input by the user.
S220, determining relevant search words from a search word database according to the typed search words.
S230, acquiring the position information of the user, and determining suggested search words according to the position information and related search words.
S240, showing the suggested search terms; detecting a selection operation of suggested search words, and determining selected target suggested search words according to the selection operation; and performing a search operation according to the target suggested search word and the typed search word.
The typed search term in a search box in the search interface is obtained. A set of related search terms related to the typed search term is determined. And ordering the related search words according to the similarity and search heat of the related search words and the typed search words, weighting the related search words according to the current position information of the user, ranking the related search words after the weighting, and determining the related search words with the preset sequence before ranking as suggested search words. After the suggested search word is determined, the suggested search word is presented in a search interface, and when the selection operation of the suggested search word is detected, the search operation is executed by taking the selected target search word and the acquired key-in search word input by the user as search keywords, so that the search result is obtained. And the target suggested search word selected by the user and the typed search word typed by the user are executed together to ensure that the search result meets the requirement of the user and the accuracy of the search result is improved.
According to the technical scheme, the key-in search word input by the user is obtained; obtaining search requirements of a user according to the typed search words, so as to match suggested search words which more meet the requirements of the user from a database; determining relevant search words from a search word database according to the typed search words; screening search words in a database, obtaining related search words with high similarity to the typed search words, obtaining position information of a user, determining suggested search words according to the position information and the related search words, screening the related search words through the position information to determine the suggested search words, further optimizing the related search words, improving the accuracy of the suggested search words, and displaying the suggested search words; detecting a selection operation of suggested search words, and determining selected target suggested search words according to the selection operation; and executing search operation according to the target suggested search word and the key-in search word, and executing search operation together with the target suggested search word selected by the user and the key-in search word typed by the user, so that the search result meets the user requirement, and the accuracy of the search result is improved. The method solves the problem that the search suggestion words cannot be optimized aiming at the current region of the user, and achieves the effect that the suggested search words containing regional characteristics are provided for the user, so that the provided suggested search words more meet the needs of the user.
Example III
Fig. 3 is a block diagram of a proposed search term determining apparatus according to a third embodiment of the present invention, where the proposed search term determining apparatus includes: a typing search term acquisition module 310, a related search term acquisition module 320, and a suggested search term determination module 330.
Wherein, the typed search term acquisition module 310 is used for acquiring the typed search term input by the user; a related search term acquisition module 320, configured to acquire related search terms related to the typed search term from a database; the suggested search term determining module 330 is configured to obtain location information of a user, and determine suggested search terms according to the location information and the related search terms.
In the technical solution of the foregoing embodiment, the related search term obtaining module 320 includes:
a similarity calculation unit for calculating the similarity between the typed search word and the search word stored in the search word database;
and the similarity sorting unit is used for sorting the similarity according to a preset sorting rule and determining the search word corresponding to the similarity in a preset sequence range as the related search word.
In the solution of the above embodiment, the suggested search term determining module 330 includes:
and the position information acquisition unit is used for calling a software development kit of the map software to acquire the position information of the user when the authorization operation of the user for acquiring the position information is detected.
In the foregoing embodiment, the suggested search term determining module 330 further includes:
a region attribute obtaining unit, configured to obtain a region attribute of the related search term;
the weight determining unit is used for determining the weight of the related search word according to the regional attribute and the position information;
and the suggested search word determining unit is used for determining the suggested search word according to the weight and the related search word.
In the technical solution of the above embodiment, the weight determining unit includes:
a position deviation determining subunit configured to determine a position deviation of the region attribute and the position information;
and the related search word weight determining subunit is used for determining the weight of the related search word according to the position deviation.
In the technical solution of the above embodiment, a suggested search term determining unit includes:
a related search word ranking subunit, configured to rank the related search words according to the weights;
and the suggested search word determining subunit is used for determining related search words in a preset sequence range as the suggested search words.
In the technical solution of the foregoing embodiment, the suggested search term determining apparatus further includes:
the suggested search term display module is used for displaying the suggested search terms;
the target suggested search word determining module is used for detecting the selection operation of the suggested search words and determining the selected target suggested search words according to the selection operation;
and the search operation execution module is used for executing search operation according to the target suggested search word and the key-in search word.
According to the technical scheme, the key-in search word input by the user is obtained; obtaining search requirements of a user according to the typed search words, so as to match suggested search words which more meet the requirements of the user from a database; determining relevant search words from a search word database according to the typed search words; screening search words in a database, acquiring related search words with high similarity to typed search words, acquiring position information of a user, determining suggested search words according to the position information and the related search words, screening the related search words through the position information to determine the suggested search words, further optimizing the related search words, improving the accuracy of the suggested search words, solving the problem that the optimization of the suggested search words cannot be carried out aiming at the current region of the user, realizing the provision of the suggested search words comprising regional characteristics to the user, and enabling the provided suggested search words to meet the effect of the user more.
The suggested search term determining device provided by the embodiment of the invention can execute the suggested search term determining method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the executing method.
Example IV
Fig. 4 is a schematic structural diagram of a server according to a fourth embodiment of the present invention, as shown in fig. 4, the server includes a processor 410, a memory 420, an input device 430 and an output device 440; the number of processors 410 in the server may be one or more, one processor 410 being taken as an example in fig. 4; the processor 410, memory 420, input device 430, and output device 440 in the server may be connected by a bus or other means, for example in fig. 4.
The memory 420 is used as a computer readable storage medium for storing software programs, computer executable programs, and modules, such as program instructions/modules corresponding to the suggested search term determining method in an embodiment of the present invention (e.g., the typing search term acquiring module 310, the related search term acquiring module 320, and the suggested search term determining module 330 in the suggested search term determining apparatus). The processor 410 performs various functional applications of the server and data processing, i.e., implements the suggested search term determination method described above, by running software programs, instructions, and modules stored in the memory 420.
The input device 430 may be used to receive input numeric or character information and to generate key signal inputs related to user settings and function control of the server. The output 440 may include a display device such as a display screen.
Example five
A fifth embodiment of the present invention also provides a storage medium containing computer-executable instructions for performing a suggested search term determination method when executed by a computer processor, the method comprising:
acquiring a typed search term input by a user;
determining relevant search words from a search word database according to the typed search words;
and acquiring the position information of the user, and determining suggested search words according to the position information and the related search words.
Of course, the storage medium containing computer executable instructions provided in the embodiments of the present invention is not limited to the above-described method operations, and may also perform the related operations in the suggested search term determining method provided in any embodiment of the present invention.
From the above description of embodiments, it will be clear to a person skilled in the art that the present invention may be implemented by means of software and necessary general purpose hardware, but of course also by means of hardware, although in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, etc., and include several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method according to the embodiments of the present invention.
It should be noted that, in the embodiment of the proposed search term determining apparatus, each unit and module included are only divided according to the functional logic, but not limited to the above division, so long as the corresponding function can be implemented; in addition, the specific names of the functional units are also only for distinguishing from each other, and are not used to limit the protection scope of the present invention.
Note that the above is only a preferred embodiment of the present invention and the technical principle applied. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, while the invention has been described in connection with the above embodiments, the invention is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the invention, which is set forth in the following claims.
Claims (7)
1. A suggested search term determination method, comprising:
acquiring a typed search term input by a user;
determining relevant search words from a search word database according to the typed search words;
acquiring position information of a user, and determining suggested search words according to the position information and the related search words;
wherein the determining suggested search terms based on the location information and the related search terms comprises:
acquiring regional attributes of the related search words;
determining the weight of the related search word according to the regional attribute and the position information;
determining the suggested search term according to the weight and the related search term;
the determining the weight of the related search word according to the regional attribute and the position information comprises the following steps:
determining a positional deviation of the regional attribute and the positional information;
determining the weight of the related search word according to the position deviation;
sorting the related search terms according to the weights;
and determining the related search words in a preset sequence range as the suggested search words.
2. The method of claim 1, wherein said determining relevant search terms from a search term database based on said typed search terms comprises:
calculating the similarity between the typed search word and the search word stored in the search word database;
and sequencing the similarity according to a preset sequencing rule, and determining the search word corresponding to the similarity in a preset sequence range as the related search word.
3. The method of claim 1, wherein the obtaining location information of the user comprises:
when the authorization operation of the user for acquiring the position information is detected, a software development kit of the map software is called to acquire the position information of the user at present.
4. The method as recited in claim 1, further comprising:
displaying the suggested search term;
detecting a selection operation of the suggested search term, and determining a selected target suggested search term according to the selection operation;
and executing search operation according to the target suggested search word and the typed search word.
5. A suggested search term determining apparatus, comprising:
the input search word acquisition module is used for acquiring input search words input by a user;
the related search word acquisition module is used for acquiring related search words related to the key-in search words from a database;
the suggested search word determining module is used for acquiring the position information of the user and determining suggested search words according to the position information and the related search words;
wherein, the suggested search term determination module further comprises:
a region attribute obtaining unit, configured to obtain a region attribute of the related search term;
the weight determining unit is used for determining the weight of the related search word according to the regional attribute and the position information;
a suggested search term determining unit configured to determine the suggested search term according to the weight and the related search term;
the weight determination unit includes:
a position deviation determining subunit configured to determine a position deviation of the region attribute and the position information;
a related search term weight determining subunit, configured to determine a weight of the related search term according to the position deviation;
the suggested search term determining unit includes:
a related search word ranking subunit, configured to rank the related search words according to the weights;
and the suggested search word determining subunit is used for determining related search words in a preset sequence range as the suggested search words.
6. A server, the server comprising:
one or more processors;
a storage means for storing one or more programs;
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the suggested search term determination method of any one of claims 1-4.
7. A computer readable storage medium having stored thereon a computer program, which when executed by a processor implements the suggested search term determining method as claimed in any one of claims 1-4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110145180.2A CN112948713B (en) | 2021-02-02 | 2021-02-02 | Suggested search term determining method, device, server and medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110145180.2A CN112948713B (en) | 2021-02-02 | 2021-02-02 | Suggested search term determining method, device, server and medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112948713A CN112948713A (en) | 2021-06-11 |
| CN112948713B true CN112948713B (en) | 2023-05-30 |
Family
ID=76241829
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110145180.2A Active CN112948713B (en) | 2021-02-02 | 2021-02-02 | Suggested search term determining method, device, server and medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112948713B (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105117458A (en) * | 2015-08-21 | 2015-12-02 | 成都秋雷科技有限责任公司 | Pushed webpage retrieval method |
| WO2017000513A1 (en) * | 2015-06-30 | 2017-01-05 | 百度在线网络技术（北京）有限公司 | Information pushing method and apparatus based on user search behavior, storage medium, and device |
| CN107798066A (en) * | 2017-09-25 | 2018-03-13 | 北京小度信息科技有限公司 | A kind of search term method for pushing, device and terminal |
| CN108256125A (en) * | 2018-02-26 | 2018-07-06 | 杭州数梦工场科技有限公司 | Intelligent search method, device and search engine based on administrative division |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105701216B (en) * | 2016-01-13 | 2017-03-08 | 北京三快在线科技有限公司 | A kind of information-pushing method and device |
| CN108846037B (en) * | 2018-05-29 | 2021-12-10 | 天津字节跳动科技有限公司 | Method and device for prompting search terms |
| CN109918555B (en) * | 2019-02-20 | 2021-10-15 | 百度在线网络技术（北京）有限公司 | Method, apparatus, device and medium for providing search suggestions |
| CN111611471B (en) * | 2019-02-25 | 2023-12-26 | 阿里巴巴集团控股有限公司 | Searching method and device and electronic equipment |
-
2021
- 2021-02-02 CN CN202110145180.2A patent/CN112948713B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2017000513A1 (en) * | 2015-06-30 | 2017-01-05 | 百度在线网络技术（北京）有限公司 | Information pushing method and apparatus based on user search behavior, storage medium, and device |
| CN105117458A (en) * | 2015-08-21 | 2015-12-02 | 成都秋雷科技有限责任公司 | Pushed webpage retrieval method |
| CN107798066A (en) * | 2017-09-25 | 2018-03-13 | 北京小度信息科技有限公司 | A kind of search term method for pushing, device and terminal |
| CN108256125A (en) * | 2018-02-26 | 2018-07-06 | 杭州数梦工场科技有限公司 | Intelligent search method, device and search engine based on administrative division |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112948713A (en) | 2021-06-11 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10929487B1 (en) | Customization of search results for search queries received from third party sites | |
| US8868539B2 (en) | Search equalizer | |
| US9697249B1 (en) | Estimating confidence for query revision models | |
| CN110704743B (en) | Semantic search method and device based on knowledge graph | |
| US10049154B2 (en) | Method for matching queries with answer items in a knowledge base | |
| CN110532281B (en) | Query suggestion template | |
| US20170192969A1 (en) | Information retrieval systems with database-selection aids | |
| JP5379696B2 (en) | Information retrieval system, method and software with concept-based retrieval and ranking | |
| KR100898454B1 (en) | Integrated search service system and method | |
| US8280902B2 (en) | High precision search system and method | |
| CN103106282B (en) | A kind of method of Webpage search and displaying | |
| US20060230022A1 (en) | Integration of multiple query revision models | |
| US8886662B1 (en) | Generating word completions based on shared suffix analysis | |
| CN110716991B (en) | Method for displaying entity associated information based on electronic book and electronic equipment | |
| US20060230005A1 (en) | Empirical validation of suggested alternative queries | |
| US20220083874A1 (en) | Method and device for training search model, method for searching for target object, and storage medium | |
| CN112632359A (en) | Information recommendation method and device, electronic equipment and storage medium | |
| CN102314452B (en) | A kind of method and system of being undertaken navigating by input method platform | |
| CN108388556A (en) | The method for digging and system of similar entity | |
| CN106919593B (en) | Searching method and device | |
| CN105677664A (en) | Compactness determination method and device based on web search | |
| CN112612961B (en) | Information searching method, device, storage medium and computer equipment | |
| JP2011210000A (en) | Image search device | |
| JP2008052548A (en) | Retrieval program, information retrieval device and information retrieval method | |
| JP4073586B2 (en) | Search system, search condition receiving method and recording medium |
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 |