CN114428902B - Information searching method, device, electronic equipment and storage medium - Google Patents

Information searching method, device, electronic equipment and storage medium Download PDF

Info

Publication number
CN114428902B
CN114428902B CN202111681475.8A CN202111681475A CN114428902B CN 114428902 B CN114428902 B CN 114428902B CN 202111681475 A CN202111681475 A CN 202111681475A CN 114428902 B CN114428902 B CN 114428902B
Authority
CN
China
Prior art keywords
landing page
search
page
user
landing
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202111681475.8A
Other languages
Chinese (zh)
Other versions
CN114428902A (en
Inventor
唐子杰
张弛
王珍
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Baidu Netcom Science and Technology Co Ltd
Original Assignee
Beijing Baidu Netcom Science and Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing Baidu Netcom Science and Technology Co Ltd filed Critical Beijing Baidu Netcom Science and Technology Co Ltd
Priority to CN202111681475.8A priority Critical patent/CN114428902B/en
Publication of CN114428902A publication Critical patent/CN114428902A/en
Priority to JP2023551187A priority patent/JP2024507902A/en
Priority to PCT/CN2022/141577 priority patent/WO2023125315A1/en
Application granted granted Critical
Publication of CN114428902B publication Critical patent/CN114428902B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • 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
    • 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
    • G06F16/9538Presentation of query results

Landscapes

  • Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • User Interface Of Digital Computer (AREA)

Abstract

The disclosure provides an information searching method, an information searching device, an electronic device and a storage medium, relates to the technical field of data processing, in particular to the technical field of cloud computing and intelligent searching, and comprises the following steps: receiving user input to obtain search words; acquiring a first landing page corresponding to the search word according to the search word; obtaining a search result page corresponding to the search word; and forming the first landing page and the search result page into a display page.

Description

Information searching method, device, electronic equipment and storage medium
Technical Field
The disclosure relates to the technical field of data processing, in particular to the technical field of cloud computing and intelligent searching.
Background
At present, when a user searches for needed information in a search engine, the user needs to input search words, acquire a search result page according to the search words, and then select a landing page from the search result pages, wherein the landing page is more in steps and is returned to the user, and the accuracy of the user on the search requirement is lower.
Disclosure of Invention
The disclosure provides an information searching method, an information searching device, electronic equipment and a storage medium.
According to an aspect of the present disclosure, there is provided an information search method including:
receiving user input to obtain search words;
acquiring a first landing page corresponding to the search word according to the search word;
acquiring a search result page corresponding to the search word;
and forming the first landing page and the search result page into a display page.
According to another aspect of the present disclosure, there is provided an information search apparatus including:
the receiving module is used for receiving user input and obtaining search words;
the processing module is used for acquiring a first landing page corresponding to the search word according to the search word;
the processing module is further used for acquiring a search result page corresponding to the search word;
the processing module is further used for forming the first landing page and the search result page into a display page.
According to another aspect of the present disclosure, there is provided an electronic device including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of the preceding claims.
According to another aspect of the present disclosure, there is provided a non-transitory computer-readable storage medium storing computer instructions for causing the computer to perform any one of the methods described above.
According to another aspect of the present disclosure, there is provided a computer program product comprising a computer program which, when executed by a processor, implements the method of any of the above.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the disclosure, nor is it intended to be used to limit the scope of the disclosure. Other features of the present disclosure will become apparent from the following specification.
Drawings
The drawings are for a better understanding of the present solution and are not to be construed as limiting the present disclosure. Wherein:
fig. 1 is a flowchart illustrating an information searching method provided according to an embodiment of the present disclosure;
FIG. 2 is a schematic illustration of a page presented to a user in accordance with an embodiment of the present disclosure;
FIG. 3 is another page schematic presented to a user provided in accordance with an embodiment of the present disclosure;
fig. 4 is a schematic structural view of an information search apparatus provided according to an embodiment of the present disclosure;
fig. 5 is a block diagram of an electronic device for implementing the information search method of an embodiment of the present disclosure.
Detailed Description
Exemplary embodiments of the present disclosure are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding, and should be considered as merely exemplary. Accordingly, one of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
In order to return to the most accurate landing page for the user to reduce the steps of user search, as shown in fig. 1, an embodiment of the present disclosure provides an information search method, which includes:
step 101, receiving user input to obtain search words.
Receiving search words input by a user;
for example, receiving a "charge fee" input by a user, and obtaining a search term of the current search: "charge telephone fee".
Step 102, obtaining a first landing page corresponding to the search word according to the search word.
And acquiring a first landing page corresponding to the search word according to the search word, wherein the first landing page can be a webpage address or an applet.
Step 103, obtaining a search result page corresponding to the search word;
obtaining a plurality of second landing pages corresponding to the search words, and forming links corresponding to the second landing pages into a search result page, wherein the second landing pages refer to a plurality of search results obtained by a conventional search mode and can be web page addresses or applets;
for example, the user searches for "charge", the first landing page matched with the search term "charge" is "charge applet", the plurality of second landing pages matched with the search term "charge" are "third party charge web page address" and "third party charge applet", links corresponding to the "third party charge web page address" and "third party charge applet" are formed into a search result page, and the second landing page may also satisfy the search requirement of the user.
And 104, forming the first landing page and the search result page into a display page.
As shown in fig. 2 (a), the first landing page and the search result page are combined into a presentation page, where the first landing page is at least one half of the full screen, so that the user can see the content of the first landing page at the first time, and determine whether the first landing page is a search result required by the user.
After the user inputs the search word, the display page displayed after calculation by the method can be directly obtained, clicking and opening of each of a plurality of landing page links in the search result page are not needed, and whether the content meets the self-searching requirement is checked, because the first landing page is at least one half of the full screen, the user can see the content of the first landing page at the first time, judge whether the first landing page is the self-required search result, display the first landing page to the user as the landing page which meets the user searching requirement most, the user can meet the self-searching requirement without complicated operation, the searching steps of the user are reduced, and the searching experience of the user is improved.
Before the search term is acquired in step 101, in an embodiment, the method further includes:
step 201, a plurality of first landing pages is acquired.
Acquiring a plurality of first landing pages, wherein the first landing pages can be web page addresses or applets and can generally meet the searching requirements of users;
for example, a first landing page is a "charge applet", which can satisfy the user's charge demand.
Step 202, determining recall words corresponding to the first landing pages according to each first landing page.
Determining recall words corresponding to the first landing pages according to each first landing page;
for example, the recall of the first landing page "charge applet" may be determined as "charge".
And 203, forming a preset database by the plurality of first landing pages and recall words corresponding to the first landing pages one by one.
The plurality of first landing pages and recall words corresponding to the first landing pages one by one form a preset database, the preset database is built, so that a user can acquire the first landing pages in the initial stage of the project, the searching experience of the user is improved, and if the first landing pages in the preset database are successfully matched with the searching words of the user, the matched first landing pages can basically meet the searching requirements of the user, and the efficiency of acquiring the searching requirements of the user is improved.
In step 102, a first landing page is obtained according to the search term, and in an embodiment, the method includes:
step 301, obtaining a first landing page corresponding to the recall word which is identical to the search word.
And acquiring a first landing page corresponding to the recall word which is identical to the search word, for example, if the search word in the search is 'charge', and if the recall word with the content of 'charge' exists, and the first landing page corresponding to the recall word is 'charge applet', the 'charge applet' is the first landing page, so that the search experience of a user can be improved.
In step 102, a first landing page is obtained according to the search term, and in an embodiment, the method includes:
step 401, obtaining a first landing page corresponding to a recall word contained by the search word.
Acquiring a first landing page corresponding to a recall word contained in a searched word;
for example, after fuzzy matching, recall words with the content of 'charge' exist, the recall words are contained by the search words 'I want to charge', and a first landing page 'charge applet' corresponding to the recall words 'charge' is obtained;
some users are unfamiliar with the searching mechanism, and may input search words which are not identical with recall words, but first landing pages which can meet the searching requirement of the users exist, so that fuzzy matching can be performed at the moment, the first landing pages corresponding to recall words contained in the searched words are obtained, the searching experience of the users is improved, and the searching stability is improved.
In step 102, obtaining a first landing page according to the search term includes:
and step 501, carrying out semantic understanding on the search word to obtain the semantic meaning of the search word.
Semantic understanding is carried out on the search words to obtain the search word semantics, and the search word semantics characterize the search requirement of the user;
for example, a search term input by a certain user is "i charge mobile phone fee", and semantic understanding is performed on the search term "i charge mobile phone fee" to obtain the search term semantic.
Step 502, obtaining a first landing page according to the search term semantics.
Carrying out semantic understanding on each recall word in advance, wherein each recall word has recall word semantics corresponding to each recall word one by one, and matching the recall word semantics obtained after carrying out semantic understanding on the search word in the previous step with the recall word semantics of each recall word to obtain a first landing page corresponding to the recall word with the semantics identical to the recall word semantics;
the search mechanism is completely unknown to part of users, the search words which are completely different from the recall words can be input, the corresponding recall words cannot be found after fuzzy matching, but a first landing page capable of meeting the search requirement of the users exists, the semantic understanding can be carried out on the search words at the moment, the semantic of the search words is obtained, the semantic of the search words is matched with the semantic of the recall words of each recall word, the first landing page corresponding to the recall word with the semantic identical to the semantic of the search word is obtained, the search experience of the users is further improved, and the search stability is further improved.
After the first landing page and the search result page are combined into the presentation page in step 104, in an embodiment, the method further includes:
in step 601, in response to a first specific instruction of a user, a first landing page in the presentation pages is presented as a full screen.
As shown in fig. 2 (b), when the user considers that the first landing page can meet the search requirement of the user, the user makes an action corresponding to the first specific instruction, and in response to the first specific instruction, the first landing page in the display page is displayed as a full screen, the search result page is reduced to a bottom column, and the search result page can be reduced to a floating window or hidden, and then the user can browse or operate the first landing page to meet the search requirement of the user;
in this embodiment, the first specific instruction may be a slide instruction, a sideslip instruction, or the like, which is convenient for the user to operate.
After the first landing page and the search result page are combined into the presentation page in step 104, in an embodiment, the method further includes:
in step 701, in response to a second specific instruction of the user, the search result page in the presentation page is presented as a full screen.
As shown in fig. 3 (a), when the user considers that the first landing page cannot meet his search requirement, the user makes a second specific instruction, and in response to the second specific instruction, the search result page in the presentation page is presented as a full screen, the first landing page is reduced to the top column, and the first landing page can also be reduced to a floating window or hidden;
in this embodiment, the second specific instruction may be an instruction that facilitates user operation, such as a slide-up instruction, a side-slip instruction, or the like.
Step 702, responding to a third specific instruction of the user, and displaying a second landing page corresponding to a second landing page link selected by the third specific instruction to the user, wherein the search result page comprises a plurality of second landing page links.
As shown in fig. 3 (b), the search result page includes a plurality of links of the second landing page, and the user can select the links corresponding to the second landing page by using the third specific instruction in the search result page, that is, can open the corresponding second landing page, thereby meeting the search requirement of the user and further improving the use experience of the user;
in this embodiment, the third specific instruction may be a click instruction, a knuckle instruction, or an instruction that is convenient for the user to operate.
In step 601, after displaying the first landing page in the display pages as a full screen, the method further includes:
step 801, obtaining a plurality of historical user operation data of which the search words are the same as the search words.
Each piece of historical user operation data comprises a search word searched for the time and a landing page clicked by a user after the search, and a plurality of pieces of historical user operation data with the same search word are obtained;
for example, if the search term of the search is "charge", a plurality of historical user operation data with the search term of "charge" in the historical user operation data are obtained.
Step 802, determining the landing page with the highest user click rate according to the plurality of historical user operation data.
The plurality of historical user operation data of the search words which are the same as the search words searched for the time represent the historical user operation data of all the search words searched for the time, so that all the landing pages clicked by the users searching the search words and the user click rate corresponding to each landing page can be obtained according to the plurality of historical user operation data, and the landing page with the highest user click rate is determined;
for example, the user searches for "charge", obtains historical user operation data of the plurality of search words which are "charge" according to the search word "charge", and knows that all users searching for "charge" click through "charge applet", "third party charge web page address" and "third party charge applet" according to the historical user operation data, and the click rate of the first landing page "charge applet" is 30%, the click rate of the second landing page "third party charge web page address" is 20%, the click rate of the second landing page "third party charge applet" is 50%, and then the landing page with the highest click rate of the user is the second landing page "third party charge applet".
And step 803, judging whether the user click rate of the landing page with the highest user click rate exceeds a first preset percentage or not in response to the fact that the landing page with the highest user click rate is different from the first landing page.
If the landing page with the highest user click rate is not the first landing page displayed to the user in the current search, the first landing page is indicated to be incapable of meeting the requirements of most users searching the search word, and whether the user click rate exceeds a first preset percentage is continuously judged;
for example, the user click rate of the first landing page "charge phone rate applet" is 30%, the user click rate of the second landing page "third party charge phone rate web page address" is 20%, the user click rate of the second landing page "third party charge phone rate applet" is 50%, the landing page with the highest user click rate is the second landing page "third party charge phone rate applet", and the "third party charge phone rate applet" is not the first landing page which is returned to the user by the search, and whether the user click rate of the second landing page "third party charge phone rate applet" exceeds the first preset percentage is determined.
In step 804, in response to the user click rate of the landing page with the highest user click rate exceeding the first preset percentage, the landing page with the highest user click rate is replaced by the first landing page.
If the user click rate exceeds a first preset percentage, replacing the landing page with the highest user click rate by the first landing page;
for example, the first preset percentage is set to 45% in the embodiment, the landing page with the highest click rate of the user is the second landing page "third party charging fee applet", the click rate of the user is 50%, if the click rate exceeds the first preset percentage by 45%, the first landing page "third party charging fee applet" returned to the user in the search is replaced by the second landing page "charging fee applet", and the first landing page "charging fee applet" corresponding to the recall word "charging fee" is changed into the "third party charging fee applet";
according to historical user operation data, the user click rate of the landing page clicked by the user corresponding to the search word is obtained, the original first landing page is replaced by the landing page with the highest user click rate and exceeding the first preset percentage, the accuracy of the first landing page which can be matched with the search word is higher and higher, the accuracy of the first landing page returned to the user can be effectively improved, and the use experience of the user is greatly improved.
In step 601, after displaying the first landing page in the display pages as a full screen, the method further includes:
step 901, obtaining a plurality of historical user operation data of which the search words are the same as the search words.
And step 902, in response to the number of the plurality of historical user operation data exceeding a first preset number, judging whether the click rate of the first landing page is smaller than a second preset percentage.
Because the number of the searched words searched by the user exceeds a certain number, when the number of the plurality of historical user operation data exceeds a first preset number, judging whether the click rate of the first landing page is smaller than a second preset percentage or not;
for example, in this embodiment, if the first preset number is set to 10000, then when the number of historical user operation data obtained according to the search word "charge" of the current search exceeds 10000, it is determined whether the click rate of the first landing page is smaller than the second preset percentage;
judging whether the click rate of the first landing page returned to the user is smaller than a second preset percentage according to the plurality of historical user operation data when the number of the historical user operation data acquired according to the search word of the current search exceeds a first preset number, namely acquiring the duty ratio of the number of the first landing page returned to the user by the current search when the user clicks in the plurality of historical user operation data;
for example, 12000 pieces of historical user operation data are obtained according to the search term "charge" of the current search, and the number of the first landing pages returned to the user in the current search is 1200 according to the 12000 pieces of historical user operation data, so that the user click rate of the first landing pages returned to the user in the current search is 10%, in this embodiment, the second preset percentage is set to 15%, and then the user click rate of the first landing pages returned to the user in the current search is smaller than the second preset percentage.
And step 903, deleting the first landing page in response to the click rate of the first landing page being less than a second preset percentage.
If the user click rate of the first landing page returned to the user in the search is smaller than a second preset percentage, deleting the first landing page returned to the user in the search, namely the first landing page corresponding to the recall word, and if the user click rate is smaller than the second preset percentage, the first landing page cannot meet the search requirement of the user in the search, so that the first landing page is deleted, the number of the first landing pages which are displayed to the user but cannot meet the search requirement of the user is reduced, and the use experience of the user is further improved.
In step 601, after displaying the first landing page in the display pages as a full screen, the method further includes:
step 1001, obtaining a plurality of historical user operation data of which the search word is the same as the search word.
Step 1002, in response to the number of the plurality of historical user operation data exceeding a second preset number, determining whether the user click rate of the first landing page is less than a third preset percentage.
Because the number of the searched words searched by the user exceeds a certain number, when the number of the plurality of historical user operation data exceeds a second preset number, judging whether the user click rate of the first landing page is smaller than a third preset percentage or not;
for example, in this embodiment, if the first preset number is set to 100000, when the number of historical user operation data obtained according to the search term "charge" of the current search exceeds 100000, it is determined whether the user click rate of the first landing page is less than a third preset percentage;
judging whether the click rate of the first landing page returned to the user is smaller than a third preset percentage according to the plurality of historical user operation data when the number of the historical user operation data acquired according to the search word of the search exceeds a second preset number, namely acquiring the ratio of the number of the first landing page returned to the user by the user in the plurality of historical user operation data, wherein the third preset percentage is higher than the second preset percentage;
for example, 120000 pieces of historical user operation data are obtained according to the search term "charge" of the current search, and according to 24000 pieces of first landing pages returned to the user in the current search from the 120000 pieces of historical user operation data, the user click rate of the first landing pages returned to the user in the current search is 20%, and in this embodiment, the third preset percentage is set to 30%, and then the user click rate of the first landing pages returned to the user in the current search is smaller than the third preset percentage.
And step 1003, in response to the user click rate of the first landing page being smaller than a third preset percentage, raising the first preset percentage.
If the user click rate of the first landing page returned to the user in the search is smaller than the third preset percentage, and the first landing page returned to the user in the search is replaced by the previous first landing page according to the historical user operation data, the comparison of the first preset percentage setting is low, whether the new first landing page replacing the previous first landing page is inaccurate or not is screened, the search requirement of the user cannot be met, the first preset percentage is increased, the requirement of the subsequent first landing page replacement is higher, the accuracy of the replaced landing page is higher, and the use experience of the user is further improved.
An embodiment of the present disclosure provides an information search apparatus, as shown in fig. 4, including:
a receiving module 10, configured to receive a user input, and obtain a search term;
the processing module 20 is configured to obtain a first landing page corresponding to the search term according to the search term;
the processing module 20 is further configured to obtain a search result page corresponding to the search term;
the processing module 20 is further configured to compose the first landing page and the search result page into a presentation page.
Wherein, the receiving module 10 is further configured to obtain a plurality of first landing pages;
the processing module 20 is further configured to determine, according to each first landing page, a recall word corresponding to the first landing page;
the processing module 20 is further configured to form a preset database from the plurality of first landing pages and recall words corresponding to the first landing pages one by one.
The processing module 20 is further configured to obtain a first landing page corresponding to a recall word that is identical to the search word.
The processing module 20 is further configured to obtain a first landing page corresponding to a recall word included in the search term.
The processing module 20 is further configured to perform semantic understanding on the search term to obtain a search term semantic;
the processing module 20 is further configured to obtain a first landing page according to the search term semantic.
Wherein, still include:
and a display module 30, configured to respond to a first specific instruction of a user, and display a first landing page in the display pages as a full screen.
Wherein, the presenting module 30 is further configured to respond to a second specific instruction of the user, and present the search result page in the presenting page as a full screen;
the presenting module 30 is further configured to respond to a third specific instruction of the user, and present a second landing page corresponding to a second landing page link selected by the third specific instruction to the user, where the search result page includes a plurality of second landing page links.
Wherein, still include:
the processing module 20 is further configured to obtain a plurality of historical user operation data of the same search term as the search term;
the processing module 20 is further configured to determine a landing page with a highest click rate according to the plurality of historical user operation data;
a judging module 40, configured to judge whether the user click rate of the landing page with the highest user click rate exceeds a first preset percentage in response to the landing page with the highest user click rate being different from the first landing page;
the processing module 20 is further configured to replace the landing page with the highest user click rate with the first landing page in response to the user click rate of the landing page with the highest user click rate exceeding a first preset percentage.
Wherein, the processing module 20 is further configured to obtain a plurality of historical user operation data of the same search term as the search term;
the judging module 40 is further configured to judge whether the click rate of the first landing page is less than a second preset percentage in response to the number of the plurality of historical user operation data exceeding a first preset number;
the processing module 20 is further configured to delete the first landing page if the click rate of the first landing page is less than a second preset percentage.
Wherein, the processing module 20 is further configured to obtain a plurality of historical user operation data of the same search term as the search term;
the judging module 40 is further configured to judge whether a user click rate of the first landing page is less than a third preset percentage in response to the number of the plurality of historical user operation data exceeding a second preset number;
the processing module 20 is further configured to, in response to the user click rate of the first landing page being less than a third preset percentage, raise the first preset percentage.
In the technical scheme of the disclosure, the acquisition, storage, application and the like of the related user personal information all conform to the regulations of related laws and regulations, and the public sequence is not violated.
According to embodiments of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium and a computer program product.
Fig. 5 illustrates a schematic block diagram of an example electronic device 1100 that can be used to implement embodiments of the present disclosure. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the disclosure described and/or claimed herein.
As shown in fig. 5, the apparatus 1100 includes a computing unit 1101 that can perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM) 1102 or a computer program loaded from a storage unit 1108 into a Random Access Memory (RAM) 1103. In the RAM1103, various programs and data required for the operation of the device 1100 can also be stored. The computing unit 1101, ROM1102, and RAM1103 are connected to each other by a bus 1104. An input/output (I/O) interface 1105 is also connected to bus 1104.
Various components in device 1100 are connected to I/O interface 1105, including: an input unit 1106 such as a keyboard, a mouse, etc.; an output unit 1107 such as various types of displays, speakers, and the like; a storage unit 1108, such as a magnetic disk, optical disk, etc.; and a communication unit 1109 such as a network card, modem, wireless communication transceiver, or the like. The communication unit 1109 allows the device 1100 to exchange information/data with other devices through a computer network such as the internet and/or various telecommunication networks.
The computing unit 1101 may be a variety of general purpose and/or special purpose processing components having processing and computing capabilities. Some examples of computing unit 1101 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, etc. The calculation unit 1101 performs the respective methods and processes described above, such as an information search method. For example, in some embodiments, the information search method may be implemented as a computer software program tangibly embodied on a machine-readable medium, such as storage unit 1108. In some embodiments, some or all of the computer programs may be loaded and/or installed onto device 1100 via ROM1102 and/or communication unit 1109. When the computer program is loaded into the RAM1103 and executed by the computing unit 1101, one or more steps of the information search method described above may be performed. Alternatively, in other embodiments, the computing unit 1101 may be configured to perform the information search method by any other suitable means (e.g. by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
Program code for carrying out methods of the present disclosure may be written in any combination of one or more programming languages. These program code may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus such that the program code, when executed by the processor or controller, causes the functions/operations specified in the flowchart and/or block diagram to be implemented. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. The machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and pointing device (e.g., a mouse or trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), and the internet.
The computer system may include a client and a server. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server may be a cloud server, a server of a distributed system, or a server incorporating a blockchain.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps recited in the present disclosure may be performed in parallel or sequentially or in a different order, provided that the desired results of the technical solutions of the present disclosure are achieved, and are not limited herein.
The above detailed description should not be taken as limiting the scope of the present disclosure. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present disclosure are intended to be included within the scope of the present disclosure.

Claims (16)

1. An information search method, comprising:
receiving user input to obtain search words;
acquiring a first landing page corresponding to the search word according to the search word;
acquiring a search result page corresponding to the search word;
forming the first landing page and the search result page into a display page;
responding to a first specific instruction of a user, and displaying a first landing page in the display pages as a full screen, wherein the first specific instruction is a sliding instruction or a sideslip instruction;
acquiring a plurality of historical user operation data of which the search words are the same as the search words;
determining a landing page with the highest user click rate according to the plurality of historical user operation data;
responding to the difference between the landing page with the highest user click rate and the first landing page, and judging whether the user click rate of the landing page with the highest user click rate exceeds a first preset percentage;
responding to the fact that the user click rate of the landing page with the highest user click rate exceeds a first preset percentage, and replacing the first landing page with the highest user click rate;
responding to the quantity of the plurality of historical user operation data exceeding a second preset quantity, and judging whether the user click rate of the first landing page is smaller than a third preset percentage or not;
and in response to the user click rate of the first landing page being smaller than a third preset percentage, the first preset percentage is adjusted to be high.
2. The method of claim 1, further comprising, prior to the obtaining the search term:
acquiring a plurality of first landing pages;
determining recall words corresponding to the first landing pages according to each first landing page;
and forming a preset database by the plurality of first landing pages and recall words corresponding to the first landing pages one by one.
3. The method of claim 1, the obtaining a first landing page from the search term comprising:
and acquiring a first landing page corresponding to the recall word which is completely the same as the search word.
4. The method of claim 1, the obtaining a first landing page from the search term comprising:
and acquiring a first landing page corresponding to the recall word contained by the search word.
5. The method of claim 1, the obtaining a first landing page from the search term comprising:
semantic understanding is carried out on the search word, so that search word semantics are obtained;
and acquiring a first landing page according to the search term semantics.
6. The method of claim 1, after said composing the first drop page and search result page into a presentation page, further comprising:
responding to a second specific instruction of a user, and displaying a search result page in the display page as a full screen, wherein the second specific instruction is a sliding-up instruction or a sliding-side instruction;
and responding to a third specific instruction of the user, displaying a second landing page corresponding to a second landing page link selected by the third specific instruction to the user, wherein the search result page comprises a plurality of second landing page links, and the third specific instruction is a click instruction or a knuckle instruction.
7. The method of claim 1, after the presenting the first landing page of the presentation pages as full screen, further comprising:
acquiring a plurality of historical user operation data of which the search words are the same as the search words;
responding to the quantity of the plurality of historical user operation data exceeding a first preset quantity, and judging whether the click rate of the first landing page is smaller than a second preset percentage or not;
and deleting the first landing page in response to the click rate of the first landing page being smaller than a second preset percentage.
8. An information search apparatus, comprising:
the receiving module is used for receiving user input and obtaining search words;
the processing module is used for acquiring a first landing page corresponding to the search word according to the search word;
the processing module is further used for acquiring a search result page corresponding to the search word;
the processing module is further used for forming the first landing page and the search result page into a display page;
the display module is used for responding to a first specific instruction of a user, displaying a first landing page in the display pages as a full screen, wherein the first specific instruction is a sliding instruction or a sideslip instruction;
the processing module is further used for acquiring a plurality of historical user operation data of which the search words are the same as the search words;
the processing module is further used for determining a landing page with the highest user click rate according to the plurality of historical user operation data;
the judging module is used for responding to the fact that the landing page with the highest user click rate is different from the first landing page, and judging whether the user click rate of the landing page with the highest user click rate exceeds a first preset percentage or not;
the processing module is further configured to replace the landing page with the highest user click rate with the first landing page in response to the user click rate of the landing page with the highest user click rate exceeding a first preset percentage;
the judging module is further configured to judge whether a user click rate of the first landing page is less than a third preset percentage in response to the number of the plurality of historical user operation data exceeding a second preset number;
the processing module is further configured to, in response to the user click rate of the first landing page being less than a third preset percentage, increase the first preset percentage.
9. The apparatus of claim 8, comprising:
the receiving module is also used for acquiring a plurality of first landing pages;
the processing module is further used for determining recall words corresponding to the first landing pages according to each first landing page;
the processing module is further configured to form a preset database from the plurality of first landing pages and recall words corresponding to the first landing pages one by one.
10. The apparatus of claim 8, comprising:
the processing module is further used for obtaining a first landing page corresponding to the recall word which is completely the same as the search word.
11. The apparatus of claim 8, comprising:
the processing module is further used for obtaining a first landing page corresponding to the recall word contained by the search word.
12. The apparatus of claim 8, comprising:
the processing module is also used for carrying out semantic understanding on the search word to obtain the semantic of the search word;
the processing module is further used for acquiring a first landing page according to the search word semantics.
13. The apparatus of claim 8, comprising:
the display module is further used for responding to a second specific instruction of a user, displaying a search result page in the display page as a full screen, wherein the second specific instruction is a sliding-up instruction or a sliding-side instruction;
the display module is further configured to respond to a third specific instruction of the user, display a second landing page corresponding to a second landing page link selected by the third specific instruction to the user, where the search result page includes a plurality of second landing page links, and the third specific instruction is a click instruction or a knuckle instruction.
14. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-7.
15. A non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method of any one of claims 1-7.
16. A computer program product comprising a computer program which, when executed by a processor, implements the method according to any of claims 1-7.
CN202111681475.8A 2021-12-31 2021-12-31 Information searching method, device, electronic equipment and storage medium Active CN114428902B (en)

Priority Applications (3)

Application Number Priority Date Filing Date Title
CN202111681475.8A CN114428902B (en) 2021-12-31 2021-12-31 Information searching method, device, electronic equipment and storage medium
JP2023551187A JP2024507902A (en) 2021-12-31 2022-12-23 Information retrieval methods, devices, electronic devices and storage media
PCT/CN2022/141577 WO2023125315A1 (en) 2021-12-31 2022-12-23 Information search method and apparatus, electronic device and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111681475.8A CN114428902B (en) 2021-12-31 2021-12-31 Information searching method, device, electronic equipment and storage medium

Publications (2)

Publication Number Publication Date
CN114428902A CN114428902A (en) 2022-05-03
CN114428902B true CN114428902B (en) 2023-11-14

Family

ID=81311920

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111681475.8A Active CN114428902B (en) 2021-12-31 2021-12-31 Information searching method, device, electronic equipment and storage medium

Country Status (3)

Country Link
JP (1) JP2024507902A (en)
CN (1) CN114428902B (en)
WO (1) WO2023125315A1 (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114428902B (en) * 2021-12-31 2023-11-14 北京百度网讯科技有限公司 Information searching method, device, electronic equipment and storage medium
CN114926223A (en) * 2022-06-07 2022-08-19 北京百度网讯科技有限公司 Landing page feature generation method, landing page search method and related device

Citations (19)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103942279A (en) * 2014-04-01 2014-07-23 百度(中国)有限公司 Method and device for showing search result
CN104050187A (en) * 2013-03-14 2014-09-17 阿里巴巴集团控股有限公司 Search result display method and system
CN104142999A (en) * 2014-08-01 2014-11-12 百度在线网络技术(北京)有限公司 Search result display method and device
WO2015158301A1 (en) * 2014-04-18 2015-10-22 Tencent Technology (Shenzhen) Company Limited Retrieval method and retrieval apparatus based on browser
CN105808764A (en) * 2016-03-21 2016-07-27 百度在线网络技术(北京)有限公司 Recommended content display method and device
WO2016155142A1 (en) * 2015-03-30 2016-10-06 百度在线网络技术(北京)有限公司 Information search method and information search device
CN107526744A (en) * 2016-06-21 2017-12-29 北京搜狗科技发展有限公司 A kind of information displaying method and device based on search
CN108229991A (en) * 2016-12-15 2018-06-29 北京奇虎科技有限公司 Method, apparatus, browser and the terminal device of displaying polymerization promotion message
WO2018149115A1 (en) * 2017-02-15 2018-08-23 百度在线网络技术(北京)有限公司 Method and apparatus for providing search results
CN109509010A (en) * 2017-09-15 2019-03-22 腾讯科技(北京)有限公司 A kind of method for processing multimedia information, terminal and storage medium
CN109918565A (en) * 2019-02-02 2019-06-21 北京搜狗科技发展有限公司 A kind of processing method, device and electronic equipment for searching for data
CN110309460A (en) * 2019-06-19 2019-10-08 百度在线网络技术(北京)有限公司 Result of page searching methods of exhibiting, device, equipment and readable storage medium storing program for executing
CN110334271A (en) * 2019-05-21 2019-10-15 北京奇艺世纪科技有限公司 A kind of search result optimization method, system, electronic equipment and storage medium
CN111159592A (en) * 2019-12-16 2020-05-15 百度在线网络技术(北京)有限公司 Search result page generation method and device, electronic equipment and storage medium
CN111177539A (en) * 2019-12-16 2020-05-19 北京百度网讯科技有限公司 Search result page generation method and device, electronic equipment and storage medium
WO2020108608A1 (en) * 2018-11-29 2020-06-04 腾讯科技(深圳)有限公司 Search result processing method, device, terminal, electronic device, and storage medium
CN111368185A (en) * 2020-02-25 2020-07-03 北京字节跳动网络技术有限公司 Data display method and device, storage medium and electronic equipment
CN112800319A (en) * 2019-11-14 2021-05-14 百度在线网络技术(北京)有限公司 Information searching method, device, equipment and medium
EP3876114A2 (en) * 2020-12-25 2021-09-08 Baidu Online Network Technology (Beijing) Co., Ltd. Method for recommending a search term, method for training a target model, apparatus for recommending a search term, apparatus for training a target model, electronic device and program product

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104778255B (en) * 2015-04-20 2018-03-06 百度在线网络技术(北京)有限公司 The recommendation method and apparatus of search result
CN111666448B (en) * 2020-04-21 2024-01-26 北京奇艺世纪科技有限公司 Search method, search device, electronic equipment and computer readable storage medium
CN114428902B (en) * 2021-12-31 2023-11-14 北京百度网讯科技有限公司 Information searching method, device, electronic equipment and storage medium

Patent Citations (19)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104050187A (en) * 2013-03-14 2014-09-17 阿里巴巴集团控股有限公司 Search result display method and system
CN103942279A (en) * 2014-04-01 2014-07-23 百度(中国)有限公司 Method and device for showing search result
WO2015158301A1 (en) * 2014-04-18 2015-10-22 Tencent Technology (Shenzhen) Company Limited Retrieval method and retrieval apparatus based on browser
CN104142999A (en) * 2014-08-01 2014-11-12 百度在线网络技术(北京)有限公司 Search result display method and device
WO2016155142A1 (en) * 2015-03-30 2016-10-06 百度在线网络技术(北京)有限公司 Information search method and information search device
CN105808764A (en) * 2016-03-21 2016-07-27 百度在线网络技术(北京)有限公司 Recommended content display method and device
CN107526744A (en) * 2016-06-21 2017-12-29 北京搜狗科技发展有限公司 A kind of information displaying method and device based on search
CN108229991A (en) * 2016-12-15 2018-06-29 北京奇虎科技有限公司 Method, apparatus, browser and the terminal device of displaying polymerization promotion message
WO2018149115A1 (en) * 2017-02-15 2018-08-23 百度在线网络技术(北京)有限公司 Method and apparatus for providing search results
CN109509010A (en) * 2017-09-15 2019-03-22 腾讯科技(北京)有限公司 A kind of method for processing multimedia information, terminal and storage medium
WO2020108608A1 (en) * 2018-11-29 2020-06-04 腾讯科技(深圳)有限公司 Search result processing method, device, terminal, electronic device, and storage medium
CN109918565A (en) * 2019-02-02 2019-06-21 北京搜狗科技发展有限公司 A kind of processing method, device and electronic equipment for searching for data
CN110334271A (en) * 2019-05-21 2019-10-15 北京奇艺世纪科技有限公司 A kind of search result optimization method, system, electronic equipment and storage medium
CN110309460A (en) * 2019-06-19 2019-10-08 百度在线网络技术(北京)有限公司 Result of page searching methods of exhibiting, device, equipment and readable storage medium storing program for executing
CN112800319A (en) * 2019-11-14 2021-05-14 百度在线网络技术(北京)有限公司 Information searching method, device, equipment and medium
CN111159592A (en) * 2019-12-16 2020-05-15 百度在线网络技术(北京)有限公司 Search result page generation method and device, electronic equipment and storage medium
CN111177539A (en) * 2019-12-16 2020-05-19 北京百度网讯科技有限公司 Search result page generation method and device, electronic equipment and storage medium
CN111368185A (en) * 2020-02-25 2020-07-03 北京字节跳动网络技术有限公司 Data display method and device, storage medium and electronic equipment
EP3876114A2 (en) * 2020-12-25 2021-09-08 Baidu Online Network Technology (Beijing) Co., Ltd. Method for recommending a search term, method for training a target model, apparatus for recommending a search term, apparatus for training a target model, electronic device and program product

Also Published As

Publication number Publication date
WO2023125315A1 (en) 2023-07-06
CN114428902A (en) 2022-05-03
JP2024507902A (en) 2024-02-21

Similar Documents

Publication Publication Date Title
EP3617952A1 (en) Information search method, apparatus and system
CN114428902B (en) Information searching method, device, electronic equipment and storage medium
CN112989235B (en) Knowledge base-based inner link construction method, device, equipment and storage medium
CN116204672A (en) Image recognition method, image recognition model training method, image recognition device, image recognition model training device, image recognition equipment, image recognition model training equipment and storage medium
CN115168537B (en) Training method and device for semantic retrieval model, electronic equipment and storage medium
CN113722593B (en) Event data processing method, device, electronic equipment and medium
CN112860626B (en) Document ordering method and device and electronic equipment
CN112528644B (en) Entity mounting method, device, equipment and storage medium
CN114036391A (en) Data pushing method and device, electronic equipment and storage medium
CN114048315A (en) Method and device for determining document tag, electronic equipment and storage medium
CN113377921B (en) Method, device, electronic equipment and medium for matching information
CN112527126B (en) Information acquisition method and device and electronic equipment
CN116127948B (en) Recommendation method and device for text data to be annotated and electronic equipment
CN113377922B (en) Method, device, electronic equipment and medium for matching information
CN116383491B (en) Information recommendation method, apparatus, device, storage medium, and program product
CN113011920B (en) Training method and device for conversion rate estimation model and electronic equipment
CN114997817B (en) Ginseng recommendation method and device, electronic equipment and storage medium
CN113822057B (en) Location information determination method, location information determination device, electronic device, and storage medium
CN118035557A (en) Resource pushing method, device, electronic equipment, storage medium and program product
CN116049104A (en) File searching method, device, electronic equipment and medium
CN118092776A (en) Page element display method and device, electronic equipment and storage medium
CN117119046A (en) Service calling method and device, electronic equipment and storage medium
CN114443935A (en) Content searching method and device and electronic equipment
CN117932153A (en) Content recommendation method and device based on deep link information
CN118051670A (en) Service recommendation method, device, equipment and medium

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant