CN110222265B - Information pushing method, system, user terminal and server - Google Patents

Information pushing method, system, user terminal and server Download PDF

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CN110222265B
CN110222265B CN201910450567.1A CN201910450567A CN110222265B CN 110222265 B CN110222265 B CN 110222265B CN 201910450567 A CN201910450567 A CN 201910450567A CN 110222265 B CN110222265 B CN 110222265B
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user
search
information
search word
user terminal
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CN110222265A (en
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刘新
兰飞
张志敏
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Golo Iov Data Technology Co ltd
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Golo Iov Data Technology Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/903Querying
    • G06F16/9032Query formulation
    • G06F16/90324Query formulation using system suggestions
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • G06F16/9532Query formulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • G06F16/9535Search customisation based on user profiles and personalisation

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  • Computational Linguistics (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
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Abstract

The method comprises the steps that a user terminal acquires a search request of a user, the user terminal extracts keyword information in the search request, the user terminal acquires user identity information according to the search request and sends the keyword information and the user identity information to a server, the server acquires a corresponding recommended search word database according to the user identity information, the server determines candidate search words from the recommended search word database according to the keyword information and sends the candidate search words to the user terminal, the user terminal displays the candidate search words and determines target search words according to the selection of the user, the user terminal sends the target search words to the server, and the server determines corresponding push content according to the target search words, and sending the pushed content to the user terminal to instruct the user terminal to display the recommended content to the user.

Description

Information pushing method, system, user terminal and server
Technical Field
The present application relates to the field of internet technologies, and in particular, to a method, a system, a user terminal, and a server for pushing information.
Background
With the development of internet technology, the amount of information that a network can provide to users is increasing. In order to improve the efficiency of obtaining information by a user, some auxiliary means are generally adopted by an application, for example, some keywords that have been used once are pushed when the user obtains information through a search function, but such a pushing manner often causes the user to see some useless historical search keywords again, which may affect the efficiency of obtaining information by the user to a certain extent.
The prior art mainly solves the problems by deleting cookie information on a device where the application is located or disabling the push function of the application, however, the former may make a user unable to use some functions related to the application, and the latter may not disable the push function of a third party having some cooperative relationship with the application all the time.
Therefore, a new technical solution is needed to solve the above technical problems.
Disclosure of Invention
In view of this, embodiments of the present application provide an information pushing method, system, user terminal, and server, which can recommend useful content to a user in a targeted manner by receiving a selection result of the user on the premise that cookie information on a device where an application is located is not deleted or a pushing function of the application is not disabled, and are beneficial to improving efficiency of obtaining information by the user.
A first aspect of an embodiment of the present application provides an information pushing method, including:
a user terminal acquires a search request of a user;
the user terminal extracts keyword information in the search request;
the user terminal acquires user identity information according to the search request and sends the keyword information and the user identity information to a server;
the server acquires a corresponding recommended search word database according to the user identity information, wherein the recommended search word database is generated by historical search records marked as recommendations by the user;
the server determines candidate search terms from the recommended search term database according to the keyword information and sends the candidate search terms to the user terminal;
the user terminal displays the candidate search words and determines target search words according to the selection of the user;
the user terminal sends the target search word to the server;
and the server determines corresponding push content according to the target search word, and sends the push content to the user terminal so as to instruct the user terminal to display the recommended content to the user.
A second aspect of the embodiments of the present application provides an information pushing method, which is applied to a user terminal, and the method includes:
acquiring a search request of a user;
extracting keyword information in the search request;
acquiring user identity information according to the search request, and sending the keyword information and the user identity information to a server to instruct the server to acquire a corresponding recommended search word database according to the user identity information, and determining candidate search words from the recommended search word database according to the keyword information, wherein the recommended search word database is generated by historical search records marked as recommended by the user;
receiving and displaying candidate search terms sent by the server;
receiving a target search word selected and determined by a user;
sending the target search word to the server to indicate the server to determine corresponding push content according to the target search word;
and receiving the push content and displaying the push content to the user.
In one embodiment, after receiving the user selection of the determined target search term, the method further comprises:
prompting the user whether to recommend the target search term;
and receiving a selection result of a user, and sending the selection result to the server to indicate the server to update the recommended search word database.
In one embodiment, the method further comprises:
receiving current push content sent by a preset server;
extracting keywords of the current push content;
comparing the keywords with a local search term database, determining the mark information of the keywords in the local search term database, wherein the local search term database is generated by the historical search records of the user, and associating the mark information of the historical search records of the user;
and when the marking information is not recommended, prompting the user to leak information. A third aspect of the embodiments of the present application provides an information pushing method, which is applied to a server, and the method includes:
receiving keyword information and user identity information sent by a user terminal;
acquiring a corresponding recommended search word database according to the user identity information, wherein the recommended search word database is generated by historical search records marked as recommendations by the user;
determining candidate search terms from the recommended search term database according to the keyword information, and sending the candidate search terms to a user terminal;
receiving a target search word determined by the user terminal;
and determining corresponding push content according to the target search word, and sending the push content to a user terminal so as to instruct the user terminal to display the recommended content to the user.
In one embodiment, after the receiving the target search term determined by the user terminal, the method further includes:
receiving the mark information of the target search word sent by the user terminal;
and updating the recommended search word database according to the marking information.
In one embodiment, the tagging information includes recommendations and non-recommendations;
correspondingly, the updating the recommended search term database according to the tag information includes:
judging whether the target search word exists in the recommended search word database or not;
if the search word exists, deleting the target search word in the recommended search word database when the marking information is not recommended;
and if the target search word does not exist, adding the target search word into the recommended search word database when the marking information is recommended.
A fourth aspect of the embodiments of the present application provides a system for pushing information, where the system includes a user terminal and a server,
the user terminal is used for acquiring a search request of a user, extracting keyword information in the search request, acquiring user identity information according to the search request, and sending the keyword information and the user identity information to the server;
the server is used for acquiring a corresponding recommended search word database according to the user identity information, determining candidate search words from the recommended search word database according to the keyword information, and sending the candidate search words to the user terminal, wherein the recommended search word database is generated by historical search records marked as recommended by the user;
the user terminal is also used for displaying the candidate search words, determining target search words according to the selection of the user, and sending the target search words to the server;
the server is further used for determining corresponding push content according to the target search word and sending the push content to the user terminal so as to instruct the user terminal to display the recommended content to the user.
A fifth aspect of the embodiments of the present application provides a user terminal, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the method mentioned in the second aspect when executing the computer program.
A sixth aspect of the embodiments of the present application provides a server, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the method mentioned in the third aspect when executing the computer program.
Compared with the prior art, the embodiment of the application has the advantages that: in the embodiment of the application, a user terminal acquires a search request of a user, the user terminal extracts keyword information in the search request, the user terminal acquires user identity information according to the search request and sends the keyword information and the user identity information to a server, the server acquires a corresponding recommended search word database according to the user identity information, the recommended search word database is generated by a historical search record marked as recommended by the user, the server determines candidate search words from the recommended search word database according to the keyword information and sends the candidate search words to the user terminal, the user terminal displays the candidate search words and determines target search words according to the selection of the user, and the user terminal sends the target search words to the server, and the server determines corresponding push content according to the target search word, and sends the push content to the user terminal so as to instruct the user terminal to display the recommended content to the user. Compared with the prior art, the method and the device have the advantages that on the premise that cookie information on the device where the application is located is not deleted or the pushing function of the application is not forbidden, the selection result of the user is received to purposefully recommend useful content to the user, the efficiency of obtaining information by the user is improved, and the method and the device have high usability and practicability.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings used in the embodiments or the description of the prior art will be briefly described below.
Fig. 1 is a schematic flowchart of a method for pushing information according to an embodiment of the present application;
fig. 2 is a schematic flowchart of a method for pushing information according to a second embodiment of the present application;
fig. 3 is a schematic flowchart of a method for pushing information according to a third embodiment of the present application;
fig. 4 is a schematic structural diagram of a system for pushing information according to a fourth embodiment of the present application;
fig. 5 is a schematic structural diagram of a user terminal according to a fifth embodiment of the present application;
fig. 6 is a schematic structural diagram of a server according to a sixth embodiment of the present application.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the present application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in the specification of the present application and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
As used in this specification and the appended claims, the term "if" may be interpreted contextually as "when", "upon" or "in response to a determination" or "in response to a detection". Similarly, the phrase "if it is determined" or "if a [ described condition or event ] is detected" may be interpreted contextually to mean "upon determining" or "in response to determining" or "upon detecting [ described condition or event ]" or "in response to detecting [ described condition or event ]".
It should be understood that, the sequence numbers of the steps in this embodiment do not mean the execution sequence, and the execution sequence of each process should be determined by the function and the inherent logic of the process, and should not constitute any limitation to the implementation process of the embodiment of the present application.
It should be noted that, the descriptions of "first" and "second" in this embodiment are used to distinguish different regions, modules, and the like, and do not represent a sequential order, and the descriptions of "first" and "second" are not limited to be of different types.
The application scenario of the information pushing method provided by the application is that cookie information on the device where the application is located is not deleted or the pushing function of the application is not disabled.
In order to explain the technical solution described in the present application, the following description will be given by way of specific examples.
Example one
Fig. 1 is a flowchart of a method for pushing information according to an embodiment of the present application, where the method may include the following steps:
s101: the user terminal obtains a search request of a user.
The information push method provided by the embodiment is applied to an information push system consisting of a user terminal and a server, wherein the user terminal comprises a smart phone, a tablet, a notebook computer and the like, and the server comprises a traditional server and a server in a block chain; the search request contains keyword information, and the keyword is a word/a certain class of words with an index function.
In one embodiment, multiple keywords may be included in the search request.
In one embodiment, the user terminal obtains text information, picture information or input voice information input by the user in a corresponding search bar.
S102: and the user terminal extracts the keyword information in the search request.
In one embodiment, the keyword information may be a keyword/category of keywords that the user has used frequently in the past period of time.
In one embodiment, any technique, existing or that may be used in the future, may be used to extract the keyword information in the search request.
S103: and the user terminal acquires user identity information according to the search request and sends the keyword information and the user identity information to a server.
In one embodiment, the user terminal may directly obtain identity information registered by the user in an application (or a web page) currently used, for example, account information of panning.
In an embodiment, when the user accesses the application (or the web page) in an unregistered identity, the user terminal may also acquire an identification code of the user terminal, and then use the acquired identification code as the user identity information.
In one embodiment, the keyword information and the user identity information may be sent to a server in a blockchain.
S104: and the server acquires a corresponding recommended search word database according to the user identity information.
In one embodiment, the recommended search term database is generated from historical search records that the user marks as recommended.
S105: and the server determines candidate search words from the recommended search word database according to the keyword information and sends the candidate search words to the user terminal.
In one embodiment, the candidate search terms may be determined from the recommended search term database by fuzzy matching.
It should be understood that the number of the candidate search terms should be no less than the number of the keywords included in the keyword information.
S106: and the user terminal displays the candidate search words and determines target search words according to the selection of the user.
In one embodiment, the user terminal may display the candidate search terms in a preset manner, for example, display the candidate keywords in a list form.
In one embodiment, a number of check boxes may be included in the list for the user to determine the targeted search terms as desired.
In one embodiment, when the candidate search term includes the target search term, the selection of the user is the target search term selected by the user from the candidate search terms.
In one embodiment, when the candidate search term does not include the target search term, the selection of the user is the target search term re-input in the search interface by the user according to the candidate search term.
S107: and the user terminal sends the target search word to the server.
S108: and the server determines corresponding push content according to the target search word, and sends the push content to the user terminal so as to instruct the user terminal to display the recommended content to the user.
In one embodiment, the user terminal displays the recommended content to the user in a preset manner.
Therefore, according to the first embodiment of the application, on the premise that cookie information on the device where the application is located is not deleted or the push function of the application is not disabled, useful contents can be pertinently recommended to the user by receiving the selection result of the user, so that the purpose of improving the information obtaining efficiency of the user is achieved, and the application has high usability and practicability.
Example two
Fig. 2 is a schematic flowchart of a method for pushing information according to a second embodiment of the present application, where the method includes the following steps:
s201: and acquiring a search request of a user.
The information push method provided by the embodiment is applied to a user terminal, wherein the user terminal comprises a smart phone, a tablet, a notebook computer and the like, and the server comprises a traditional server and a server in a block chain; the search request includes keyword information.
In one embodiment, multiple keywords may be included in the search request.
In one embodiment, the user terminal obtains text information, picture information or input voice information input by the user in a corresponding search bar.
S202: and extracting the keyword information in the search request.
In one embodiment, the keyword information may be a keyword/category of keywords that the user has used frequently in the past period of time.
In one embodiment, any technique, existing or that may be used in the future, may be used to extract the keyword information in the search request.
S203: and acquiring user identity information according to the search request, sending the keyword information and the user identity information to a server to indicate the server to acquire a corresponding recommended search word database according to the user identity information, and determining candidate search words from the recommended search word database according to the keyword information, wherein the recommended search word database is generated by historical search records marked as recommended by the user.
In one embodiment, the user terminal may directly obtain identity information registered by the user in an application (or a web page) currently used, for example, account information of panning.
In an embodiment, when the user accesses the application (or the web page) in an unregistered identity, the user terminal may also acquire an identification code of the user terminal, and then use the acquired identification code as the user identity information.
In one embodiment, the user terminal may send the keyword information and the user identity information to a server in a blockchain.
S204: and receiving and displaying the candidate search words sent by the server.
In one embodiment, the user terminal may display the candidate search terms in a preset manner, for example, display the candidate keywords in a list form.
In one embodiment, a number of check boxes may be included in the list for the user to determine the targeted search terms as desired.
S205: and receiving the target search word selected by the user.
In one embodiment, when the candidate search term includes the target search term, the selection of the user is the target search term selected by the user from the candidate search terms.
In one embodiment, when the candidate search term does not include the target search term, the selection of the user is the target search term re-input in the search interface by the user according to the candidate search term.
In one embodiment, after receiving a user selection of a determined target search term, the method further comprises:
a1: prompting the user whether to recommend the target search term;
a2: and receiving a selection result of a user, and sending the selection result to the server to indicate the server to update the recommended search word database.
It should be noted that the recommendation in the step a1 is a future recommendation, that is, whether the user terminal recommends the target search term for the user when the user uses the application again; the selection result in the step a2 includes two selection results, i.e., recommending the target search word and not recommending the target search word, and the updating of the recommended search word database by the server includes deleting the target search word from the recommended search word database by the server and adding the target search word to the recommended search word database by the server.
In one embodiment, the method further comprises:
b1: receiving current push content sent by a preset server;
b2: extracting keywords of the current push content;
b3: comparing the keywords with a local search term database, determining the mark information of the keywords in the local search term database, wherein the local search term database is generated by the historical search records of the user, and associating the mark information of the historical search records of the user;
b4: and when the marking information is not recommended, prompting the user to leak information.
It should be noted that, the preset server in the step B1 may be a server in the present application, or may be another server in a certain cooperative relationship with the server in the present application; the current pushed content is the content actively pushed by the preset server on the premise that the user does not search; the local search term database comprises historical search records marked as recommended by the user and historical search records marked as not recommended by the user.
In one embodiment, after knowing that the information of the user is leaked, the user can initiate a report request to the server through the user terminal in the first time so as to instruct the server to check the content reported by the user, and after checking the fact of the user, the reported object of the user is disclosed on the internet in real time, so that a certain public opinion pressure is exerted on the reported object, and the reported object is urged to be rectified as soon as possible so as to protect the personal information of the user.
S206: and sending the target search word to the server to instruct the server to determine corresponding push content according to the target search word.
S207: and receiving the push content and displaying the push content to the user.
In one embodiment, the user terminal displays the recommended content to the user in a preset manner.
Therefore, the second embodiment of the present application receives the search request of the user at first, acquires corresponding keyword information and user identity information according to the search request of the user, sends the keyword information and the user identity information to the server, and displays the candidate search terms returned by the server for the user to select, and finally pushes corresponding content for the user according to the target search terms determined by the user.
EXAMPLE III
Fig. 3 is a schematic flowchart of a method for pushing information according to a third embodiment of the present application, where the method includes the following steps:
s301: and receiving the keyword information and the user identity information sent by the user terminal.
The information push method provided by this embodiment is applied to a server, where the server includes a traditional server and a server in a block chain, and the traditional server may be an application server corresponding to a certain application program currently used by the user or a website server corresponding to a certain webpage currently used by the user; the keyword information is a keyword used by the user in searching.
S302: and acquiring a corresponding recommended search word database according to the user identity information.
In one embodiment, the recommended search term database is generated from historical search records that the user marks as recommended.
In one embodiment, the server should pre-establish a mapping relationship between the user and its search term database.
S303: and determining candidate search terms from the recommended search term database according to the keyword information, and sending the candidate search terms to a user terminal.
In one embodiment, the candidate search terms may be determined from the recommended search term database by fuzzy matching.
It should be understood that the number of the candidate search terms should be no less than the number of the keywords included in the keyword information.
S304: and receiving the target search word determined by the user terminal.
In one embodiment, the target search term is a word of the candidate search terms.
In one embodiment, the target search word is a word other than the candidate search word, for example, when the candidate search word does not include the target search word, the target search word is a search word re-input by the user according to the candidate search word.
After the receiving of the target search term determined by the user terminal, the method further comprises:
c1: receiving the mark information of the target search word sent by the user terminal;
c2: and updating the recommended search word database according to the marking information.
It should be noted that, in the step C1, the flag information includes recommendation and non-recommendation; the step C2 includes:
d1: judging whether the target search word exists in the recommended search word database or not;
d2: if the search word exists, deleting the target search word in the recommended search word database when the marking information is not recommended;
d3: and if the target search word does not exist, adding the target search word into the recommended search word database when the marking information is recommended.
In one embodiment, if the target search word exists in the recommended search word database and the tag information is a recommendation, the target search word is continuously retained in the recommended word database.
In one embodiment, if the target search word does not exist in the recommended search word database and the flag information is not recommended, the recommended search word database may not be updated.
In one embodiment, when the server is a server in a blockchain, the server may store the update result and then broadcast the update result over the network, for example, broadcast the update result to a third-party server in a certain cooperative relationship with the server in time, so that associated data actively selected by a user and willing to be recommended later is fixedly stored in the blockchain, which is beneficial to reducing the possibility of tampering the user data.
S305: and determining corresponding push content according to the target search word, and sending the push content to a user terminal so as to instruct the user terminal to display the recommended content to the user.
Taking a specific application scenario as an example, when the user terminal is a certain type of smart phone and the server is a server of a treasure-panning application, the server receives keyword information (e.g., "shoe") and user identity information (e.g., a user name registered by the user on the treasure-panning application) sent by the smart phone, then obtains a corresponding recommended search word database according to the received user name, determines candidate search words (e.g., "woman's shoe" and "man's shoe") from the received user name, sends the candidate search words to the smart phone, receives a target search word (e.g., "woman's shoe") determined by the user on the smart phone and tag information (e.g., "recommendation") of the target search word, and finally adds the target search word to the recommended search word database when the server determines that the target search word does not exist in the recommended search word database, and sending content related to the ' women ' shoes ' to the smart phone.
Taking another specific application scenario as an example, when the user terminal is a certain smart phone and the server is a certain server in a block chain, the server receives keyword information (e.g., "shoe") and user identity information (e.g., user name registered by the user in the Taobao application) sent by the smart phone, performs broadcast over the network, acquires a corresponding recommended search term database according to the received user name, determines candidate search terms (e.g., "woman's shoe" and "man's shoe") from the database, sends the candidate search terms to the smart phone, receives a target search term (e.g., "woman's shoe") determined by the user on the smart phone and tag information (e.g., "recommendation") of the target search term, and finally when the server determines that the target search term does not exist in the recommended search term database, and adding the recommendation search term into the recommendation search term database, carrying out whole-network broadcasting, and simultaneously sending the content related to the ' women ' shoes ' to the smart phone.
Taking a specific application scenario as an example, when the user terminal is a smartphone and the server is a server in a block chain, the server receives keyword information (e.g., "coffin") and user identity information (e.g., user name registered by the user in the panning application) sent by the smartphone, performs broadcast over the whole network, acquires a corresponding recommended search term database according to the received user name, determines a candidate search term (e.g., "funeral product") from the database, sends the candidate search term to the smartphone, receives a target search term (e.g., "funeral product") determined by the user on the smartphone and tag information (e.g., "non-recommended") of the target search term, and finally sends content related to the "funeral product" to the smartphone, and judging whether the target search word exists in the recommended search word database, if so, deleting the target search word from the recommended search word database, and broadcasting the target search word on the whole network, so that a third-party server having a certain cooperative relationship with the server can delete the target search word from the corresponding server in time, and the recommended content related to the 'funeral supplies' is prevented from being received when the user uses the treasure again.
Therefore, the embodiment of the application can recommend the corresponding content for the target search word determined by the user terminal by receiving the target search word, so that the user of the user terminal can only see the useful content, the purpose of improving the search efficiency of the user is achieved, and the user can have stronger usability and practicability.
Example four
Fig. 4 is a schematic structural diagram of an information pushing system according to a fourth embodiment of the present invention, and for convenience of description, only a part related to the embodiment of the present invention is shown.
The information push system comprises a user terminal 41 and a server 42,
the user terminal 41 is configured to obtain a search request of a user, extract keyword information in the search request, obtain user identity information according to the search request, and send the keyword information and the user identity information to the server;
the server 42 is configured to obtain a corresponding recommended search word database according to the user identity information, determine a candidate search word from the recommended search word database according to the keyword information, and send the candidate search word to the user terminal, where the recommended search word database is generated by a history search record marked as recommended by the user;
the user terminal 41 is further configured to display the candidate search terms, determine a target search term according to a selection of a user, and send the target search term to the server;
the server 42 is further configured to determine corresponding push content according to the target search term, and send the push content to the user terminal, so as to instruct the user terminal to display the recommended content to the user.
EXAMPLE five
Fig. 5 is a schematic structural diagram of a user terminal according to a fifth embodiment of the present invention. As shown in fig. 5, the user terminal 5 of this embodiment includes: a processor 50, a memory 51 and a computer program 52 stored in said memory 51 and executable on said processor 50. The processor 50, when executing the computer program 52, implements the steps of the second embodiment of the method, such as the steps S201 to S207 shown in fig. 2. The processor 50, when executing the computer program 52, implements the functionality of the user terminal in the above-described system embodiment.
The user terminal may include, but is not limited to, a processor 50, a memory 51. It will be appreciated by those skilled in the art that fig. 5 is only an example of a user terminal 5 and does not constitute a limitation of the user terminal 5 and may comprise more or less components than those shown, or some components may be combined, or different components, for example the user terminal may further comprise input output devices, network access devices, buses etc.
The Processor 50 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 51 may be an internal storage unit of the user terminal 5, such as a hard disk or a memory of the user terminal 5. The memory 51 may also be an external storage device of the user terminal 5, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) and the like provided on the user terminal 5. Further, the memory 51 may also include both an internal storage unit and an external storage device of the user terminal 5. The memory 51 is used for storing the computer program and other programs and data required by the user terminal. The memory 51 may also be used to temporarily store data that has been output or is to be output.
EXAMPLE six
Fig. 6 is a schematic structural diagram of a server according to a sixth embodiment of the present invention. As shown in fig. 6, the server 6 of this embodiment includes: a processor 60, a memory 61 and a computer program 62 stored in said memory 61 and executable on said processor 60. The processor 60, when executing the computer program 62, implements the steps of the third embodiment of the method, such as the steps S301 to S305 shown in fig. 3. The processor 60, when executing the computer program 62, implements the functions of the server in the above-described system embodiment.
The server 6 may be a desktop computer, a notebook, a palm computer, a cloud server, or other computing devices. The server may include, but is not limited to, a processor 60, a memory 61. Those skilled in the art will appreciate that fig. 6 is merely an example of a server 6 and does not constitute a limitation of the server 6, and may include more or fewer components than shown, or some components in combination, or different components, e.g., the server may also include input output devices, network access devices, buses, etc.
The Processor 60 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 61 may be an internal storage unit of the server 6, such as a hard disk or a memory of the server 6. The memory 61 may also be an external storage device of the server 6, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) and the like provided on the server 6. Further, the memory 61 may also include both an internal storage unit of the server 6 and an external storage device. The memory 61 is used for storing the computer program and other programs and data required by the server. The memory 61 may also be used to temporarily store data that has been output or is to be output.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art would appreciate that the modules, elements, and/or method steps of the various embodiments described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow in the method of the embodiments described above can be realized by a computer program, which can be stored in a computer-readable storage medium and can realize the steps of the embodiments of the methods described above when the computer program is executed by a processor. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
The above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.

Claims (9)

1. A method of information push, comprising:
a user terminal acquires a search request of a user;
the user terminal extracts keyword information in the search request;
the user terminal acquires user identity information according to the search request and sends the keyword information and the user identity information to a server;
the server acquires a corresponding recommended search word database according to the user identity information, wherein the recommended search word database is generated by historical search records marked as recommendations by the user;
the server determines candidate search terms from the recommended search term database according to the keyword information and sends the candidate search terms to the user terminal;
the user terminal displays the candidate search words and determines target search words according to the selection of the user; when the candidate search word does not contain the target search word, the selection of the user is the target search word input by the user in a search interface again according to the candidate search word;
the user terminal sends the target search word to the server;
the server determines corresponding push content according to the target search word, and sends the push content to the user terminal so as to instruct the user terminal to display the recommended content to the user;
the method further comprises the following steps:
the user terminal receives current push content sent by a preset server;
the user terminal extracts the keywords of the current push content;
the user terminal compares the keywords with a local search word database, determines the mark information of the keywords in the local search word database, and the local search word database is generated by the historical search records of the user and is associated with the mark information of the historical search records of the user; the marking information comprises recommendation and non-recommendation;
and when the marking information is not recommended, the user terminal prompts the user that information leakage occurs.
2. A method for pushing information is applied to a user terminal, and the method comprises the following steps:
acquiring a search request of a user;
extracting keyword information in the search request;
acquiring user identity information according to the search request, and sending the keyword information and the user identity information to a server to instruct the server to acquire a corresponding recommended search word database according to the user identity information, and determining candidate search words from the recommended search word database according to the keyword information, wherein the recommended search word database is generated by historical search records marked as recommended by the user;
receiving and displaying candidate search terms sent by the server;
receiving a target search word selected and determined by a user;
sending the target search word to the server to indicate the server to determine corresponding push content according to the target search word; when the candidate search word does not contain the target search word, the selection of the user is the target search word input by the user in a search interface again according to the candidate search word;
receiving the pushed content and displaying the pushed content to the user;
the method further comprises the following steps:
receiving current push content sent by a preset server;
extracting keywords of the current push content;
comparing the keywords with a local search term database, determining the mark information of the keywords in the local search term database, wherein the local search term database is generated by the historical search records of the user, and associating the mark information of the historical search records of the user; the marking information comprises recommendation and non-recommendation;
and when the marking information is not recommended, prompting the user to leak information.
3. The method of claim 2, wherein after the receiving the user selection of the determined target search term, the method further comprises:
prompting the user whether to recommend the target search term;
and receiving a selection result of a user, and sending the selection result to the server to indicate the server to update the recommended search word database.
4. A method for pushing information is applied to a server, and the method comprises the following steps:
receiving keyword information and user identity information sent by a user terminal;
acquiring a corresponding recommended search word database according to the user identity information, wherein the recommended search word database is generated by historical search records marked as recommendations by the user;
determining candidate search terms from the recommended search term database according to the keyword information, and sending the candidate search terms to a user terminal;
receiving a target search word determined by the user terminal; when the candidate search word does not contain the target search word, the selection of the user is the target search word input by the user in a search interface again according to the candidate search word;
determining corresponding push content according to the target search word, and sending the push content to a user terminal to instruct the user terminal to display the recommended content to the user;
wherein the user terminal is operable to: receiving current push content sent by a preset server; extracting keywords of the current push content; comparing the keywords with a local search term database, determining the mark information of the keywords in the local search term database, wherein the local search term database is generated by the historical search records of the user, and associating the mark information of the historical search records of the user; when the marking information is not recommended, prompting the user to leak information; the tag information includes recommendations and non-recommendations.
5. The method of claim 4, wherein after receiving the target search term determined by the user terminal, the method further comprises:
receiving the mark information of the target search word sent by the user terminal;
and updating the recommended search word database according to the marking information.
6. The method of claim 5,
the updating the recommended search term database according to the tag information includes:
judging whether the target search word exists in the recommended search word database or not;
if the search word exists, deleting the target search word in the recommended search word database when the marking information is not recommended;
and if the target search word does not exist, adding the target search word into the recommended search word database when the marking information is recommended.
7. A system for pushing information is characterized in that the system comprises a user terminal and a server,
the user terminal is used for acquiring a search request of a user, extracting keyword information in the search request, acquiring user identity information according to the search request, and sending the keyword information and the user identity information to the server;
the server is used for acquiring a corresponding recommended search word database according to the user identity information, determining candidate search words from the recommended search word database according to the keyword information, and sending the candidate search words to the user terminal, wherein the recommended search word database is generated by historical search records marked as recommended by the user;
the user terminal is also used for displaying the candidate search words, determining target search words according to the selection of the user, and sending the target search words to the server; when the candidate search word does not contain the target search word, the selection of the user is the target search word input by the user in a search interface again according to the candidate search word;
the server is further used for determining corresponding push content according to the target search word and sending the push content to the user terminal so as to instruct the user terminal to display the recommended content to the user;
the user terminal is also used for receiving the current push content sent by the preset server; extracting keywords of the current push content; comparing the keywords with a local search term database, determining the mark information of the keywords in the local search term database, wherein the local search term database is generated by the historical search records of the user, and associating the mark information of the historical search records of the user; when the marking information is not recommended, prompting the user to leak information; the tag information includes recommendations and non-recommendations.
8. A user terminal comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the steps of the method according to claim 2 or 3 are implemented when the processor executes the computer program.
9. A server comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the steps of the method according to any of claims 4 to 6 are implemented when the computer program is executed by the processor.
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Families Citing this family (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110990422A (en) * 2019-12-11 2020-04-10 微创(上海)网络技术股份有限公司 Intelligent data processing system based on natural language
CN111475678B (en) * 2020-03-17 2023-10-27 聚好看科技股份有限公司 Method, server and terminal for pushing search results
CN111835866A (en) * 2020-07-24 2020-10-27 成都西加云杉科技有限公司 Data search method, device, system, medium and Internet of things terminal
CN111914154B (en) * 2020-07-29 2021-11-05 上海梅斯医药科技有限公司 Intelligent search guiding system and method
CN112199465B (en) * 2020-09-01 2024-02-06 北京达佳互联信息技术有限公司 Information searching method and device and electronic equipment
CN112966504B (en) * 2021-03-26 2023-02-07 深圳壹账通创配科技有限公司 Name identification and association recommendation method and device, computer equipment and storage medium
CN113268671B (en) * 2021-06-22 2022-11-08 深圳市泷富科技集团有限公司 Applet information push filtering method and system
CN113515700B (en) * 2021-07-01 2024-02-20 深圳追一科技有限公司 Information pushing method and device, electronic equipment and storage medium
CN117194801B (en) * 2023-11-06 2024-03-08 枣庄市云端互联网产业园管理有限公司 Public service transferring system and method based on technology

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102930022A (en) * 2012-10-31 2013-02-13 中国运载火箭技术研究院 User-oriented information search engine system and method
CN104102727A (en) * 2014-07-23 2014-10-15 百度在线网络技术(北京)有限公司 Query term recommending method and device
CN106844406A (en) * 2015-12-07 2017-06-13 腾讯科技(深圳)有限公司 Search method and retrieval device
CN107992210A (en) * 2017-10-11 2018-05-04 捷开通讯(深圳)有限公司 Input method vocabulary recommends method, intelligent terminal and the device with store function
CN109446407A (en) * 2018-09-18 2019-03-08 深圳壹账通智能科技有限公司 Correlation recommendation method, apparatus, computer equipment and storage medium

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104346354B (en) * 2013-07-29 2017-12-01 阿里巴巴集团控股有限公司 It is a kind of that the method and device for recommending word is provided
CN107220380A (en) * 2017-06-27 2017-09-29 北京百度网讯科技有限公司 Question and answer based on artificial intelligence recommend method, device and computer equipment
CN107273537A (en) * 2017-06-30 2017-10-20 深圳创维数字技术有限公司 One kind search words recommending method, set top box and storage medium

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102930022A (en) * 2012-10-31 2013-02-13 中国运载火箭技术研究院 User-oriented information search engine system and method
CN104102727A (en) * 2014-07-23 2014-10-15 百度在线网络技术(北京)有限公司 Query term recommending method and device
CN106844406A (en) * 2015-12-07 2017-06-13 腾讯科技(深圳)有限公司 Search method and retrieval device
CN107992210A (en) * 2017-10-11 2018-05-04 捷开通讯(深圳)有限公司 Input method vocabulary recommends method, intelligent terminal and the device with store function
CN109446407A (en) * 2018-09-18 2019-03-08 深圳壹账通智能科技有限公司 Correlation recommendation method, apparatus, computer equipment and storage medium

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