CN109213848B - Method and device for determining related search terms, storage medium and electronic equipment - Google Patents
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Abstract
The embodiment of the invention discloses a method, a device, a storage medium and electronic equipment for determining related search terms, wherein the method comprises the following steps: counting article topics of each clicked article in a search result page when a user performs search operation based on a preset search word; determining article topics meeting preset conditions in all article topics; setting the article theme meeting the preset condition as a word theme of a preset search word; and when a search operation based on the preset search word is received, displaying the related search word related to the word subject of the preset search word in the related search word set at a preset position of the search result page. According to the embodiment of the invention, the related search words can be screened for the user based on the word topics of the search words, so that the matching of the related search words is more accurate, the recommendation is more in line with the real search of the user, the click rate of the related search words is obviously increased, and the user experience is also improved.
Description
Technical Field
The present invention relates to the field of internet, and in particular, to a method and an apparatus for determining related search terms, a storage medium, and an electronic device.
Background
When searching for a certain content, an existing user can see a plurality of articles on a search result page based on a search term, and also can see some related search terms recommended based on the search term on the search result page, wherein the related search terms are all recommended based on the search term and the browsing behavior of the user.
In the process of implementing the invention, the inventor finds that the prior art has at least the following defects: browsing behavior of the user is random, which causes great interference to determination of related search words, and when determining related search words based on the search words only, it is also easy to determine that the related search words displayed to the user are not content related to the user's real search because one word has multiple meanings.
The existing recommendation mode often has the problems that the words are not ambiguous, the related search words are ambiguous and the like, so that the desire of a user for further searching is insufficient, and the search reflux is influenced to a certain extent.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method, an apparatus, a storage medium, and an electronic device for determining related search terms, so as to solve the following problems in the prior art: the existing recommendation mode often has the problems that the words are not ambiguous, the related search words are ambiguous and the like, so that the desire of a user for further searching is insufficient, and the search reflux is influenced to a certain extent.
In one aspect, an embodiment of the present invention provides a method for determining a related search term, where the method includes: counting article topics of each clicked article in a search result page when a user performs search operation based on a preset search word; determining article topics meeting preset conditions in all the article topics; setting the article theme meeting the preset condition as a word theme of the preset search word; and when a searching operation based on the preset searching word is received, displaying the related searching word which is related to the word subject of the preset searching word in the related searching word set at a preset position of a searching result page.
On the other hand, an embodiment of the present invention provides an apparatus for determining related search terms, including: the statistical module is used for counting the article topics of each clicked article in the search result page when a user carries out search operation based on a preset search word; the determining module is used for determining the article topics meeting the preset conditions in all the article topics; the setting module is used for setting the article theme meeting the preset condition as a word theme of the preset search word; and the display module is used for displaying related search words related to word topics of the preset search words in related search word sets at preset positions of a search result page when the search operation based on the preset search words is received.
In another aspect, an embodiment of the present invention provides a storage medium storing a computer program, where the computer program is executed by a processor to implement the method provided in any embodiment of the present invention.
On the other hand, an embodiment of the present invention provides an electronic device, which at least includes a memory and a processor, where the memory stores a computer program, and the processor implements the method provided in any embodiment of the present invention when executing the computer program on the memory.
The word theme is set for the search word, the chapter theme of the article clicked after the user searches a certain search word is set as the word theme of the search word, when the user performs searching operation by adopting any search word with the word theme, the relevant search word can be screened for the user on the basis of the word theme of the search word, so that the matching of the relevant search word is more accurate, the real search which is more consistent with the user is recommended, the click rate of the relevant search word is obviously increased, and the user experience is also improved.
Drawings
Fig. 1 is a flowchart of a method for determining related search terms according to a first embodiment of the present invention;
FIG. 2 is a flowchart of a method for determining related search terms according to a second embodiment of the present invention;
FIG. 3 is a diagram of a related search interface of the prior art;
FIG. 4 is a diagram illustrating a related search interface according to a second embodiment of the present invention;
fig. 5 is a schematic structural diagram of an apparatus for determining related search terms according to a third embodiment of the present invention;
fig. 6 is a schematic structural diagram of an electronic device according to a fifth embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the drawings of the embodiments of the present invention. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the described embodiments of the invention without any inventive step, are within the scope of protection of the invention.
Unless defined otherwise, technical or scientific terms used herein shall have the ordinary meaning as understood by one of ordinary skill in the art to which this invention belongs. The use of "first," "second," and similar terms in the present application do not denote any order, quantity, or importance, but rather the terms are used to distinguish one element from another. The word "comprising" or "comprises", and the like, means that the element or item listed before the word covers the element or item listed after the word and its equivalents, but does not exclude other elements or items. The terms "connected" or "coupled" and the like are not restricted to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "upper", "lower", "left", "right", and the like are used merely to indicate relative positional relationships, and when the absolute position of the object being described is changed, the relative positional relationships may also be changed accordingly.
To maintain the following description of the embodiments of the present invention clear and concise, a detailed description of known functions and known components of the invention have been omitted.
A first embodiment of the present invention provides a method for determining related search terms, where the flow of the method is shown in fig. 1, and the method includes steps S101 to S104:
s101, counting the article subjects of each clicked article in the search result page when the user performs search operation based on the preset search word.
When a user enters a search term to search for related articles, a plurality of search results are usually obtained based on the search term, and when the user can click on any article to read. Each article will have at least one article theme, such as investment, entertainment, travel, and of course, it can also be words with certain influence, such as names of people and places, for example, the national village. The topic of each article may be determined by the content of the entire article, or may be determined only by the title of the article, which is not limited herein.
S102, determining the article topics meeting the preset conditions in all the article topics.
An article may have one article topic or a plurality of article topics, and when statistics is performed, statistics is performed on the clicking behaviors of hundreds of millions of users, so that a larger number of article topics are obtained. In order to ensure that the related search terms displayed to the user can be more accurate, the article topics are screened once, namely a preset condition is set, and the article topics meeting the preset condition are screened. The preset condition may be the occurrence probability of the article topic, the current popularity of the article topic, or the like, and is not limited herein.
S103, setting the article theme meeting the preset condition as a word theme of a preset search word.
If the article topics meeting the preset conditions are one, the preset search word may have one word topic, and if the article topics meeting the preset conditions are multiple, the preset search word may have multiple word topics. In the specific implementation, because the interface size of the related search words recommended to the user by the search result page is limited, preferably, one article topic meeting the preset condition is determined, and the recommendation of the subsequent related search words is more accurate.
S104, when receiving a search operation based on the preset search word, displaying the related search word related to the word theme of the preset search word in the related search word set at the preset position of the search result page.
After the word topics are set for all the search words, when any user performs a search operation based on any search word with the word topics set, the related search word set determined based on the preset search words is filtered again, that is, the related search words in the related search word set are matched through the word topics, and the related search words matched with the word topics are displayed at the preset positions.
The word theme is set for the search word, the chapter theme of the article clicked after the user searches a certain search word is set as the word theme of the search word, when the user performs searching operation by adopting any search word with the word theme, the relevant search word can be screened for the user on the basis of the word theme of the search word, so that the matching of the relevant search word is more accurate, the real search which is more consistent with the user is recommended, the click rate of the relevant search word is obviously increased, and the user experience is also improved.
A second embodiment of the present invention provides a method for determining related search terms, where the flow of the method is shown in fig. 2, and the method includes steps S201 to S206:
s201, counting the article subjects of each clicked article in the search result page when the user carries out search operation based on the preset search word.
When a user enters a search term to search for related articles, a plurality of search results are usually obtained based on the search term, and when the user can click on any article to read. Each article will have at least one article theme, such as investment, entertainment, travel, and of course, it can also be words with certain influence, such as names of people and places, for example, the national village. The topic of each article may be determined by the content of the entire article, or may be determined only by the title of the article, which is not limited herein.
In specific implementation, the core words of each article clicked in the search result page when the user performs search operation based on the predetermined search word may be counted first, and then the article topics of each article may be determined according to the core words of each article.
S202, determining the article topics meeting the preset conditions in all the article topics.
An article may have one article topic or a plurality of article topics, and when statistics is performed, statistics is performed on the clicking behaviors of hundreds of millions of users, so that a larger number of article topics are obtained. In order to ensure that the related search terms displayed to the user can be more accurate, the article topics are screened once, namely a preset condition is set, and the article topics meeting the preset condition are screened. The preset condition may be the occurrence probability of the article topic, the current popularity of the article topic, or the like, and is not limited herein.
In specific implementation, the occurrence probability of each article topic in all search operations based on the predetermined search word can be counted first, and then the article topic with the occurrence probability greater than the predetermined probability is determined as the article topic meeting the preset condition.
S203, setting the article theme meeting the preset condition as a word theme of a preset search word.
If the article topics meeting the preset conditions are one, the preset search word may have one word topic, and if the article topics meeting the preset conditions are multiple, the preset search word may have multiple word topics. In the specific implementation, because the interface size of the related search words recommended to the user by the search result page is limited, preferably, one article topic meeting the preset condition is determined, and the recommendation of the subsequent related search words is more accurate.
S204, when receiving a search operation based on the preset search word, displaying the related search word related to the word theme of the preset search word in the related search word set at the preset position of the search result page.
After the word topics are set for all the search words, when any user performs a search operation based on any search word with the word topics set, the related search word set determined based on the preset search words is filtered again, that is, the related search words in the related search word set are matched through the word topics, and the related search words matched with the word topics are displayed at the preset positions.
For example, when a user inputs a search term "rocket" in a search box, because the search term has no word topic, the related search terms recommended in related searches are far away from the real search intention of the user, for example, as shown in fig. 3, because the real intention of "rocket" is a real rocket, the recommended content may include words such as "rocket of long standing number" and "hawk rocket". These words are completely unrelated to the user's actual search intent, only literally with the words of "rocket".
When the method of the embodiment of the invention is adopted to search the rocket, because the word topics of the search words are set according to the article topics of a large number of articles, a related search word set which is closer to the real search intention of the user can be screened based on the word topics of the rocket, related searches in the search result page shown in fig. 3 are changed, and the changed search result page is shown in fig. 4.
The embodiment of the invention can further screen the related search words through the word subjects, so that the related search words displayed to the user are more accurate.
S205, counting the click condition of each related search word according to a preset period, and reordering the related search words in the related search word set according to the click condition.
S206, displaying the related search words in the related search word set at the preset positions of the search result page according to the re-ordered result.
Through reordering, the recommendation precision is more accurate and closer to the use habit of the user.
The word theme is set for the search word, the chapter theme of the article clicked after the user searches a certain search word is set as the word theme of the search word, when the user performs searching operation by adopting any search word with the word theme, the relevant search word can be screened for the user on the basis of the word theme of the search word, so that the matching of the relevant search word is more accurate, the real search which is more consistent with the user is recommended, the click rate of the relevant search word is obviously increased, and the user experience is also improved.
A third embodiment of the present invention provides an apparatus for determining a related search term, the apparatus having a structure schematically shown in fig. 5, and including:
the statistical module 10 is configured to count article topics of each clicked article in a search result page when a user performs a search operation based on a predetermined search term; the determining module 20 is coupled with the counting module 10 and is used for determining the article topics meeting the preset conditions in all the article topics; a setting module 30, coupled to the determining module 20, configured to set an article topic meeting a preset condition as a word topic of a predetermined search word; and a display module 40, coupled to the setting module 30, for displaying, at a predetermined position of the search result page, related search terms related to a term subject of the predetermined search term in the related search term set when a search operation based on the predetermined search term is received.
When a user enters a search term to search for related articles, a plurality of search results are usually obtained based on the search term, and when the user can click on any article to read. Each article will have at least one article theme, such as investment, entertainment, travel, and of course, it can also be words with certain influence, such as names of people and places, for example, the national village. The topic of each article may be determined by the content of the entire article, or may be determined only by the title of the article, which is not limited herein.
In implementation, the statistical module may specifically be configured to: counting core words of each clicked article in a search result page when a user carries out search operation based on a preset search word; and determining the article subjects of the articles according to the core words of the articles.
An article may have one article topic or a plurality of article topics, and when statistics is performed, statistics is performed on the clicking behaviors of hundreds of millions of users, so that a larger number of article topics are obtained. In order to ensure that the related search terms displayed to the user can be more accurate, the article topics are screened once, namely a preset condition is set, and the article topics meeting the preset condition are screened. The preset condition may be the occurrence probability of the article topic, the current popularity of the article topic, or the like, and is not limited herein.
In implementation, the determining module may be specifically configured to: counting the occurrence probability of each article topic in all searching operations based on a preset searching word; and determining the article topics with the occurrence probability larger than the preset probability as the article topics meeting the preset conditions.
If the article topics meeting the preset conditions are one, the preset search word may have one word topic, and if the article topics meeting the preset conditions are multiple, the preset search word may have multiple word topics. In the specific implementation, because the interface size of the related search words recommended to the user by the search result page is limited, preferably, one article topic meeting the preset condition is determined, and the recommendation of the subsequent related search words is more accurate.
After the word topics are set for all the search words, when any user performs a search operation based on any search word with the word topics set, the related search word set determined based on the preset search words is filtered again, that is, the related search words in the related search word set are matched through the word topics, and the related search words matched with the word topics are displayed at the preset positions.
In order to make the related search word more accurate, the apparatus may further include: the counting module is coupled with the display module and used for counting the clicking condition of each related search word according to a preset period and reordering the related search words in the related search word set according to the clicking condition; and the display module is also used for displaying the related search words in the related search word set at the preset positions of the search result page according to the reordered result. Through reordering, the recommendation precision is more accurate and closer to the use habit of the user.
The word theme is set for the search word, the chapter theme of the article clicked after the user searches a certain search word is set as the word theme of the search word, when the user performs searching operation by adopting any search word with the word theme, the relevant search word can be screened for the user on the basis of the word theme of the search word, so that the matching of the relevant search word is more accurate, the real search which is more consistent with the user is recommended, the click rate of the relevant search word is obviously increased, and the user experience is also improved.
A fourth embodiment of the present invention provides a storage medium storing a computer program that, when executed by a processor, implements the method provided in any of the embodiments of the present invention, as follows steps S1 to S4:
s1, counting the article topics of each clicked article in the search result page when the user performs the search operation based on the preset search word;
s2, determining the article topics meeting the preset conditions in all the article topics;
s3, setting the article theme meeting the preset condition as the word theme of the preset search word;
s4, upon receiving a search operation based on a predetermined search word, displaying a related search word related to a word topic of the predetermined search word in a related search word set at a predetermined position of a search result page.
When a user enters a search term to search for related articles, a plurality of search results are usually obtained based on the search term, and when the user can click on any article to read. Each article will have at least one article theme, such as investment, entertainment, travel, and of course, it can also be words with certain influence, such as names of people and places, for example, the national village. The topic of each article may be determined by the content of the entire article, or may be determined only by the title of the article, which is not limited herein.
An article may have one article topic or a plurality of article topics, and when statistics is performed, statistics is performed on the clicking behaviors of hundreds of millions of users, so that a larger number of article topics are obtained. In order to ensure that the related search terms displayed to the user can be more accurate, the article topics are screened once, namely a preset condition is set, and the article topics meeting the preset condition are screened. The preset condition may be the occurrence probability of the article topic, the current popularity of the article topic, or the like, and is not limited herein.
If the article topics meeting the preset conditions are one, the preset search word may have one word topic, and if the article topics meeting the preset conditions are multiple, the preset search word may have multiple word topics. In the specific implementation, because the interface size of the related search words recommended to the user by the search result page is limited, preferably, one article topic meeting the preset condition is determined, and the recommendation of the subsequent related search words is more accurate.
After the word topics are set for all the search words, when any user performs a search operation based on any search word with the word topics set, the related search word set determined based on the preset search words is filtered again, that is, the related search words in the related search word set are matched through the word topics, and the related search words matched with the word topics are displayed at the preset positions.
When the computer program is executed by the processor to determine the article topics meeting the preset conditions in all the article topics, the processor specifically executes the following steps: counting the occurrence probability of each article topic in all searching operations based on a preset searching word; and determining the article topics with the occurrence probability larger than the preset probability as the article topics meeting the preset conditions.
When the computer program is executed by the processor to count the article topics of each clicked article in the search result page when the user performs the search operation based on the preset search word, the following steps are specifically executed by the processor: counting core words of each clicked article in a search result page when a user carries out search operation based on a preset search word; and determining the article subjects of the articles according to the core words of the articles.
After the computer program is executed by the processor to display the related search words related to the word topics of the predetermined search words in the related search word set at the predetermined position of the search result page, the computer program may be further executed by the processor to: counting the click condition of each related search word according to a preset period, and reordering the related search words in the related search word set according to the click condition; displaying the related search terms in the related search term set at a predetermined location of the search results page according to the reordered results.
The word theme is set for the search word, the chapter theme of the article clicked after the user searches a certain search word is set as the word theme of the search word, when the user performs searching operation by adopting any search word with the word theme, the relevant search word can be screened for the user on the basis of the word theme of the search word, so that the matching of the relevant search word is more accurate, the real search which is more consistent with the user is recommended, the click rate of the relevant search word is obviously increased, and the user experience is also improved.
Optionally, in this embodiment, the storage medium may include, but is not limited to: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes. Optionally, in this embodiment, the processor executes the method steps described in the above embodiments according to the program code stored in the storage medium. Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments and optional implementation manners, and this embodiment is not described herein again. It will be apparent to those skilled in the art that the modules or steps of the present invention described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and alternatively, they may be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, and in some cases, the steps shown or described may be performed in an order different than that described herein, or they may be separately fabricated into individual integrated circuit modules, or multiple ones of them may be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
A fifth embodiment of the present invention provides an electronic device, as shown in fig. 6, the electronic device at least includes a memory 901 and a processor 902, the memory 901 stores a computer program, and the processor 902 realizes the method provided by any embodiment of the present invention when executing the computer program on the memory 901, for example, the steps of the computer program are as follows S11 to S14:
s11, counting the article topics of each clicked article in the search result page when the user performs the search operation based on the preset search word;
s12, determining the article topics meeting the preset conditions in all the article topics;
s13, setting the article theme meeting the preset condition as the word theme of the preset search word;
s14, upon receiving a search operation based on a predetermined search word, displaying a related search word related to a word topic of the predetermined search word in a related search word set at a predetermined position of a search result page.
The processor 902, when executing a computer program stored in the memory 901 for counting article topics of each article clicked in a search result page when a user performs a search operation based on a predetermined search term, specifically executes the following computer program: counting core words of each clicked article in a search result page when a user carries out search operation based on a preset search word; and determining the article subjects of the articles according to the core words of the articles.
When executing the computer program stored in the memory 901 and used for determining the article topics satisfying the preset conditions from among all the article topics, the processor 902 specifically executes the following computer program: counting the occurrence probability of each article topic in all searching operations based on a preset searching word; and determining the article topics with the occurrence probability larger than the preset probability as the article topics meeting the preset conditions.
The processor 902, after executing a computer program stored on the memory 901 to display related search words related to the word topic of the predetermined search word in the related search word set at a predetermined position of the search result page, may further execute the following computer program: counting the click condition of each related search word according to a preset period, and reordering the related search words in the related search word set according to the click condition; displaying the related search terms in the related search term set at a predetermined location of the search results page according to the reordered results.
The word theme is set for the search word, the chapter theme of the article clicked after the user searches a certain search word is set as the word theme of the search word, when the user performs searching operation by adopting any search word with the word theme, the relevant search word can be screened for the user on the basis of the word theme of the search word, so that the matching of the relevant search word is more accurate, the real search which is more consistent with the user is recommended, the click rate of the relevant search word is obviously increased, and the user experience is also improved.
Moreover, although exemplary embodiments have been described herein, the scope thereof includes any and all embodiments based on the present invention with equivalent elements, modifications, omissions, combinations (e.g., of various embodiments across), adaptations or alterations. The elements of the claims are to be interpreted broadly based on the language employed in the claims and not limited to examples described in the present specification or during the prosecution of the application, which examples are to be construed as non-exclusive. It is intended, therefore, that the specification and examples be considered as exemplary only, with a true scope and spirit being indicated by the following claims and their full scope of equivalents.
The above description is intended to be illustrative and not restrictive. For example, the above-described examples (or one or more versions thereof) may be used in combination with each other. For example, other embodiments may be used by those of ordinary skill in the art upon reading the above description. In addition, in the above-described embodiments, various features may be grouped together to streamline the disclosure. This should not be interpreted as an intention that a disclosed feature not claimed is essential to any claim. Rather, inventive subject matter may lie in less than all features of a particular disclosed embodiment. Thus, the following claims are hereby incorporated into the detailed description as examples or embodiments, with each claim standing on its own as a separate embodiment, and it is contemplated that these embodiments may be combined with each other in various combinations or permutations. The scope of the invention should be determined with reference to the appended claims, along with the full scope of equivalents to which such claims are entitled.
While the embodiments of the present invention have been described in detail, the present invention is not limited to these specific embodiments, and those skilled in the art can make various modifications and modifications of the embodiments based on the concept of the present invention, which fall within the scope of the present invention as claimed.
Claims (8)
1. A method for determining related search terms, comprising:
counting article topics of each clicked article in a search result page when a user carries out search operation based on a preset search word, wherein the article topics are determined through the content of the article and/or the title of the article;
determining an article theme meeting preset conditions in all the article themes, wherein the preset conditions at least comprise one of the occurrence probability of the article theme and the current popularity of the article theme;
setting the article theme meeting the preset condition as a word theme of the preset search word;
when receiving a search operation based on the preset search word, matching the related search word in the related search word set through the word theme, and displaying the related search word related to the word theme of the preset search word in the related search word set at a preset position of a search result page;
the article topics of each clicked article in the search result page when the statistical user performs search operation based on the preset search word comprise: counting core words of each clicked article in the search result page when a user carries out search operation based on the preset search word; and determining the article topics of the articles according to the core words of the articles.
2. The method for determining the article topics as claimed in claim 1, wherein determining the article topics satisfying the preset condition from among all the article topics comprises:
counting the occurrence probability of each article topic in all searching operations based on the preset searching words;
and determining the article topics with the occurrence probability being greater than the preset probability as the article topics meeting the preset conditions.
3. The determination method according to claim 1 or 2, wherein after displaying, at a predetermined position of a search result page, related search words in the related search word set that are related to a word topic of the predetermined search word, further comprising:
counting the click condition of each related search word according to a preset period, and reordering the related search words in the related search word set according to the click condition;
displaying the related search terms in the related search term set at a predetermined location of the search results page according to the reordered results.
4. An apparatus for determining related search terms, comprising:
the statistical module is used for counting the article topics of each clicked article in a search result page when a user carries out search operation based on a preset search word, wherein the article topics are determined through the content of the article and/or the title of the article;
the determining module is used for determining the article topics meeting preset conditions in all the article topics, wherein the preset conditions at least comprise one of the occurrence probability of the article topics and the current popularity of the article topics;
the setting module is used for setting the article theme meeting the preset condition as a word theme of the preset search word;
the display module is used for matching related search words in the related search word set through the word topics when receiving search operation based on the preset search words, and displaying the related search words related to the word topics of the preset search words in the related search word set at preset positions of a search result page;
the statistics module is specifically configured to: counting core words of each clicked article in the search result page when a user carries out search operation based on the preset search word; and determining the article topics of the articles according to the core words of the articles.
5. The determination apparatus of claim 4,
the determining module is specifically configured to: counting the occurrence probability of each article topic in all searching operations based on the preset searching words; and determining the article topics with the occurrence probability being greater than the preset probability as the article topics meeting the preset conditions.
6. The determination apparatus according to claim 4 or 5, further comprising:
the counting module is used for counting the clicking condition of each related search word according to a preset period and reordering the related search words in the related search word set according to the clicking condition;
the display module is further configured to display the related search terms in the related search term set at a predetermined position on the search result page according to the reordered result.
7. A storage medium storing a computer program, characterized in that the computer program realizes the steps of the method of any one of claims 1 to 3 when executed by a processor.
8. An electronic device comprising at least a memory, a processor, the memory having a computer program stored thereon, characterized in that the processor realizes the steps of the method of any of claims 1 to 3 when executing the computer program on the memory.
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| CN201811406500.XA CN109213848B (en) | 2018-11-23 | 2018-11-23 | Method and device for determining related search terms, storage medium and electronic equipment |
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| CN108197244A (en) * | 2017-12-29 | 2018-06-22 | 北京奇虎科技有限公司 | It is a kind of to search for the method for pushing and device for recommending word |
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Address after: 100041 B-0035, 2 floor, 3 building, 30 Shixing street, Shijingshan District, Beijing. Patentee after: Douyin Vision Co.,Ltd. Address before: 100041 B-0035, 2 floor, 3 building, 30 Shixing street, Shijingshan District, Beijing. Patentee before: Tiktok vision (Beijing) Co.,Ltd. Address after: 100041 B-0035, 2 floor, 3 building, 30 Shixing street, Shijingshan District, Beijing. Patentee after: Tiktok vision (Beijing) Co.,Ltd. Address before: 100041 B-0035, 2 floor, 3 building, 30 Shixing street, Shijingshan District, Beijing. Patentee before: BEIJING BYTEDANCE NETWORK TECHNOLOGY Co.,Ltd. |