CN114428902A - Information searching method and device, electronic equipment and storage medium - Google Patents
Information searching method and device, electronic equipment and storage medium Download PDFInfo
- Publication number
- CN114428902A CN114428902A CN202111681475.8A CN202111681475A CN114428902A CN 114428902 A CN114428902 A CN 114428902A CN 202111681475 A CN202111681475 A CN 202111681475A CN 114428902 A CN114428902 A CN 114428902A
- 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.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 44
- 238000012545 processing Methods 0.000 claims abstract description 36
- 230000004044 response Effects 0.000 claims description 15
- 238000004590 computer program Methods 0.000 claims description 11
- 238000004891 communication Methods 0.000 description 8
- 238000010586 diagram Methods 0.000 description 6
- 238000004364 calculation method Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- 230000009471 action Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000007667 floating Methods 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 238000003491 array Methods 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 230000001953 sensory effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9538—Presentation 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 present disclosure provides an information search method, an information search device, an electronic device, and a storage medium, which relate to the technical field of data processing, in particular to the technical field of cloud computing and intelligent search, and include: receiving user input to obtain a search word; 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 presentation page.
Description
Technical Field
The present disclosure relates to the field of data processing technologies, and in particular, to the field of cloud computing and intelligent search technologies.
Background
At present, when a user searches for required information in a search engine, search words need to be input, a search result page is obtained according to the search words, then a landing page is selected from the search result page, the number of steps is large, and the accuracy of the landing page returned to the user for the search requirements of the user is low.
Disclosure of Invention
The disclosure provides an information search method, an information search device, an electronic device 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 a search term;
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 a display page by the first landing page and the search result 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 to obtain a search word;
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 a display page by the first landing page and the search result 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 any of the methods described above.
According to another aspect of the present disclosure, there is provided a non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method of any of the above.
According to another aspect of the disclosure, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the method of any of the above.
It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present disclosure, nor do they limit the scope of the present disclosure. Other features of the present disclosure will become apparent from the following description.
Drawings
The drawings are included to provide a better understanding of the present solution and are not to be construed as limiting the present disclosure. Wherein:
fig. 1 is a schematic flow chart diagram of an information search method provided according to an embodiment of the present disclosure;
FIG. 2 is a schematic diagram of a page presented to a user according to an embodiment of the present disclosure;
FIG. 3 is a schematic view of another page presented to a user according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram 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 an information search method according to an embodiment of the present disclosure.
Detailed Description
Exemplary embodiments of the present disclosure are described below with reference to the accompanying drawings, in which various details of the embodiments of the disclosure are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those 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 searching for the user, as shown in fig. 1, an embodiment of the present disclosure provides an information searching method, including:
step 101, receiving user input to obtain a search term.
Receiving a search word input by a user;
for example, receiving "charging fee" input by the user, obtaining the search term of the search: charging fee.
And 102, acquiring a first landing page corresponding to the search term according to the search term.
And acquiring a first landing page corresponding to the search term according to the search term, wherein the first landing page can be a webpage address or an applet.
103, acquiring a search result page corresponding to the search word;
acquiring a plurality of second landing pages corresponding to the search terms, and forming a search result page by using links corresponding to the plurality of second landing pages, wherein the second landing pages refer to a plurality of search results obtained in a conventional search mode and can be web page addresses or applets;
for example, a user searches for "charging fee", a first landing page matched with the search term "charging fee" is a "charging fee applet", a plurality of second landing pages matched with the search term "charging fee" are a "third party charging fee webpage address" and a "third party charging fee applet", links corresponding to the "third party charging fee webpage address" and the "third party charging fee applet" form a search result page, and the second landing pages can also meet the search requirements of the user.
And 104, forming a display page by the first landing page and the search result page.
As shown in fig. 2(a), the first landing page and the search result page form a presentation page, and 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 a user inputs a search word, the display page displayed after calculation by the method can be directly acquired, the user does not need to click and open one by one from a plurality of landing page links in a search result page and check whether the content meets the self search requirement, 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 a search result required by the user, the first landing page displayed to the user is the landing page which best meets the user search requirement, the user can meet the self search requirement without complicated operation, the search steps of the user are reduced, and the search experience of the user is improved.
Before obtaining the search term in step 101, in an embodiment, the method further includes:
step 201, a plurality of first landing pages are obtained.
Acquiring a plurality of first landing pages, wherein the first landing pages can be web addresses or applets, and the first landing pages can usually meet the search requirements of users;
for example, a first landing page is a "charging applet", and the first landing page can satisfy the charging requirement of the user.
Step 202, determining a recall word corresponding to each first landing page according to the first landing page.
Determining a recall word corresponding to each first landing page according to the first landing page;
for example, the recall word of the first floor page "Charge applet" may be determined as "Charge".
And 203, forming a preset database by the plurality of first landing pages and the recall words corresponding to the first landing pages one by one.
The method comprises the steps that a plurality of first landing pages and recall phrases which correspond to the first landing pages one by one are combined into a preset database, the preset database is built, so that a user can obtain the first landing pages in the initial stage of a project, the search experience of the user is improved, and if the first landing pages in the preset database are successfully matched with search words of the user, the matched first landing pages can basically meet the search requirements of the user, and the efficiency of the user for obtaining the search requirements is improved.
In step 102, a first landing page is obtained according to the search term, which in an embodiment includes:
step 301, obtaining a first landing page corresponding to a recall word identical to the search word.
The method includes the steps that a first landing page corresponding to a recall word identical to a search word is obtained, for example, the search word searched at this time is 'charging fee', if the recall word with the content of 'charging fee' exists, and the first landing page corresponding to the recall word is 'charging fee subprogram', the 'charging fee subprogram' is the first landing page, and searching experience of a user can be improved.
In step 102, a first landing page is obtained according to the search term, which in an implementation manner includes:
step 401, obtaining a first landing page corresponding to a recall word included in the search word.
Acquiring a first landing page corresponding to a recall word contained in a searched word;
for example, after fuzzy matching, if a recall word with the content of "charging" exists and the recall word is included in the search word "i want to charge", a first landing page "charging small program" corresponding to the recall word "charging" is obtained;
some users are not familiar with a search mechanism, and may input search terms which are not identical to the recall terms, but a first landing page capable of meeting the search requirements of the users exists, so that fuzzy matching can be performed at the moment, the first landing page corresponding to the recall terms contained in the search terms is obtained, the search experience of the users is improved, and the search stability is improved.
In step 102, obtaining a first landing page according to the search term, including:
step 501, performing semantic understanding on the search word to obtain search word semantics.
Performing semantic understanding on the search terms to obtain search term semantics, wherein the search term semantics represent the search requirements of the user;
for example, a search term input by a certain user is "i want to charge mobile phone fee", and semantic understanding is performed on the search term "i want to charge mobile phone fee", so as to obtain search term semantics.
Step 502, obtaining a first landing page according to the search term semantics.
Semantic understanding is carried out on each recall word in advance, each recall word has recall word semantics which correspond to each other one by one, the search word semantics obtained after the search words are semantically understood in the previous step are matched with the recall word semantics of each recall word, and a first landing page corresponding to the recall word with the same semantics as the search word semantics is obtained;
the search mechanism that some users are completely unaware of searching may input search terms completely different from the recall terms, and corresponding recall terms cannot be found after fuzzy matching, but there is a first landing page capable of meeting the search requirement of the users, so that the search terms can be semantically understood at this time to obtain search term semantics, and the search term semantics are matched with the recall term semantics of each recall term to obtain the first landing page corresponding to the recall term with the same semantics and search term semantics, thereby further improving the search experience of the users and further improving the search stability.
After the step 104, the first landing page and the search result page are combined into a presentation page, in an embodiment, the method further includes:
step 601, responding to a first specific instruction of a user, and displaying a first landing page in the display pages as a full screen.
As shown in fig. 2(b), when the user thinks that the first landing page can meet his search requirement, the user performs an action corresponding to the first specific instruction, and in response to the first specific instruction, the first landing page in the display pages is displayed as a full screen, the search result page is reduced to a bottom column, and the search result page can also be reduced to a floating window or hidden, and then the user can browse or operate the first landing page to meet his search requirement;
in this embodiment, the first specific instruction may be a slide-down instruction, a slide-off instruction, or the like, which is convenient for the user to operate.
After the step 104, the first landing page and the search result page are combined into a presentation page, in an embodiment, the method further includes:
and 701, responding to a second specific instruction of the user, and displaying a search result page in the display page as a full screen.
As shown in fig. 3(a), when the user thinks 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 a top bar, and the first landing page can also be reduced to a floating window or hidden;
in the present embodiment, the second specific instruction may be an instruction that facilitates user operation, such as a slide-up instruction and a slide-down instruction.
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, where the search result page includes a plurality of second landing page links.
As shown in fig. 3(b), the search result page includes a plurality of second landing page links, and the user can select a link corresponding to the second landing page in the search result page by using a third specific instruction, that is, the corresponding second landing page can be opened, so that the search requirement of the user can be met, and the use experience of the user is further improved;
in this embodiment, the third specific instruction may be a click instruction, a knuckle instruction, or the like, which is convenient for the user to operate.
In step 601, after the first landing page in the presentation pages is presented as a full screen, the method further includes:
step 801, obtaining a plurality of historical user operation data with the same search terms as the search terms.
Each historical user operation data comprises a search word searched for this time and a landing page clicked by the user after the search, and a plurality of historical user operation data with the same search word as the search word are obtained;
for example, if the search term of the search is "charging", a plurality of historical user operation data of which the search term is "charging" are acquired from the historical user operation data.
And 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 with the same search word as the search word searched at the time represent all historical user operation data of the search word searched at the time, so that all landing pages clicked by the user searching the search word 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 "charging fee", obtains historical user operation data that a plurality of search terms are all "charging fee" according to the search term "charging fee", and knows that all users who search for "charging fee" click through "charging fee applet", "third party charging fee web page address" and "third party charging fee applet", and that the user click rate of the first landing page "charging fee applet" is 30%, the click rate of the second landing page "third party charging fee web page address" is 20%, the click rate of the second landing page "third party charging fee applet" is 50%, and the landing page with the highest user click rate is the second landing page "third party charging fee applet".
And 803, in response to that the landing page with the highest user click rate is different from the first landing page, judging whether the user click rate of the landing page with the highest user click rate exceeds a first preset percentage.
If the landing page with the highest click rate of the user is not the first landing page displayed to the user in the search, the first landing page cannot meet the requirements of most users searching the search terms, and whether the click rate of the user exceeds a first preset percentage is continuously judged;
for example, if the user click rate of the first landing page "third party charging small program" is 30%, the user click rate of the second landing page "third party charging web page address" is 20%, the user click rate of the second landing page "third party charging small program" is 50%, the landing page with the highest user click rate is the second landing page "third party charging small program", and the "third party charging small program" is not the first landing page returned to the user by the search, it is determined whether the user click rate of the second landing page "third party charging small program" exceeds a first preset percentage.
And step 804, in response to that the user click rate of the landing page with the highest user click rate exceeds a first preset percentage, replacing the landing page with the highest user click rate with the first landing page.
If the user click rate exceeds a first preset percentage, replacing the first landing page with the highest user click rate;
for example, the first preset percentage is set to 45% in this embodiment, and the landing page with the highest user click rate is the second landing page "third party charging applet", the user click rate is 50%, and exceeds the first preset percentage by 45%, the second landing page "third party charging applet" replaces the first landing page "charging applet" returned to the user by the search, and the first landing page "charging applet" corresponding to the recall word "charging fee" is changed to "third party charging applet";
the user click rate of the landing page clicked by the user corresponding to the search term is obtained according to historical user operation data, the original first landing page is replaced by the landing page which is the highest in user click rate and exceeds a first preset percentage, the accuracy of the first landing page matched with the search term can be increased, the accuracy of the first landing page returned to the user can be effectively improved, and the user experience is greatly improved.
In step 601, after the first landing page in the presentation pages is presented as a full screen, the method further includes:
step 901, obtaining a plurality of historical user operation data with the same search word as the search word.
Step 902, in response to that the number of the plurality of historical user operation data exceeds a first preset number, determining whether the click rate of the first landing page is less than a second preset percentage.
The operation is executed when the number of the search terms searched by the user exceeds a certain number, so that when the number of the plurality of historical user operation data exceeds a first preset number, whether the click rate of the first landing page is smaller than a second preset percentage is judged;
for example, in this embodiment, the first preset number is set to 10000, and when the number of the historical user operation data obtained according to the search term "charging fee" of the search exceeds 10000, it is determined whether the click rate of the first landing page is less than the second preset percentage;
if the quantity of the historical user operation data acquired according to the search word of the search exceeds a first preset quantity, judging whether the click rate of the first landing page returned to the user is smaller than a second preset percentage according to a plurality of historical user operation data, namely acquiring the ratio of the quantity of the first landing pages returned to the user after the search in the plurality of historical user operation data;
for example, 12000 pieces of historical user operation data are acquired according to the search term "charging fee" of the search, and according to the 12000 pieces of historical user operation data, when the number of the first landing pages returned to the user by the search is 1200, the user click rate of the first landing pages returned to the user by the search is 10%, in this embodiment, the second preset percentage is set to be 15%, and the user click rate of the first landing pages returned to the user by the search is smaller than the second preset percentage.
And step 903, in response to that the click rate of the first landing page is smaller than a second preset percentage, deleting the first landing page.
If the user click rate of the first landing page returned to the user by the search is smaller than the second preset percentage, deleting the first landing page returned to the user by the search, namely deleting the first landing page corresponding to the recall word, wherein the user click rate is smaller than the second preset percentage, which indicates that the first landing page cannot meet the search requirement of the user by the search, so that deleting the first landing page reduces the number of the first landing pages which are displayed to the user but cannot meet the search requirement of the user, and further improves the use experience of the user.
In step 601, after the first landing page in the presentation pages is presented as a full screen, the method further includes:
step 1001, obtaining a plurality of historical user operation data with the same search terms as the search terms.
Step 1002, in response to that the number of the plurality of historical user operation data exceeds a second preset number, determining whether the user click rate of the first landing page is less than a third preset percentage.
The operation is executed when the number of the search terms searched by the user exceeds a certain number, so that when the number of the plurality of historical user operation data exceeds a second preset number, whether the user click rate of the first landing page is smaller than a third preset percentage is judged;
for example, in this embodiment, the first preset number is set to 100000, and when the number of the historical user operation data obtained according to the search term "charging fee" of the current search exceeds 100000, it is determined whether the user click rate of the first landing page is smaller than a third preset percentage;
if the quantity of the historical user operation data obtained according to the search word of the search exceeds a second preset quantity, judging whether the click rate of the first landing page returned to the user is smaller than a third preset percentage according to a plurality of historical user operation data, namely obtaining the proportion of the quantity of the first landing pages returned to the user after the user clicks the search 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 acquired according to the search term "charging fee" in the current search, and according to the fact that 24000 pieces of first landing pages returned to the user by the current search are clicked in the 120000 pieces of historical user operation data, the user click rate of the first landing pages returned to the user by the current search is 20%, in this embodiment, the third preset percentage is set to be 30%, and the user click rate of the first landing pages returned to the user by the current search is smaller than the third preset percentage.
Step 1003, in response to that the user click rate of the first landing page is smaller than a third preset percentage, increasing the first preset percentage.
If the user click rate of the first landing page returned to the user by the search is smaller than the third preset percentage, and the first landing page returned to the user by the search is the first landing page before the first landing page is replaced according to the historical user operation data, the setting of the first preset percentage is lower, the new first landing page replacing the first landing page before is screened out, the new first landing page cannot meet the search requirement of the user, the first preset percentage is increased, the requirement for subsequently replacing the first landing page 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, the apparatus including:
the receiving module 10 is used for receiving user input to 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 combine the first landing page and the search result page into a presentation page.
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 combine the plurality of first landing pages and the recall words corresponding to the first landing pages one by one to form a preset database.
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 word.
The processing module 20 is further configured to perform semantic understanding on the search term to obtain search term semantics;
the processing module 20 is further configured to obtain a first landing page according to the search term semantics.
Wherein, still include:
and the display module 30 is used for responding to a first specific instruction of a user and displaying a first landing page in the display pages as a full screen.
The display module 30 is further configured to respond to a second specific instruction of the user, and display a search result page in the display page as a full screen;
the displaying module 30 is further configured to respond to a third specific instruction of the user, and 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.
Wherein, still include:
the processing module 20 is further configured to obtain a plurality of historical user operation data with the same search term as the search term;
the processing module 20 is further configured to determine, according to the plurality of historical user operation data, a landing page with a highest user click rate;
the judging module 40 is 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 that the landing page with the highest user click rate is different from the first landing page;
the processing module 20 is further configured to replace the first landing page with the highest user click rate in response to that the user click rate of the landing page with the highest user click rate exceeds a first preset percentage.
The processing module 20 is further configured to obtain a plurality of historical user operation data of which the search terms are the same as the search terms;
the judging module 40 is further configured to, in response to that the number of the plurality of pieces of historical user operation data exceeds a first preset number, judge whether the click rate of the first landing page is less than a second preset percentage;
the processing module 20 is further configured to delete the first landing page if the click rate of the first landing page is smaller than a second preset percentage.
The processing module 20 is further configured to obtain a plurality of historical user operation data of which the search terms are the same as the search terms;
the judging module 40 is further configured to, in response to that the number of the plurality of historical user operation data exceeds a second preset number, judge whether the user click rate of the first landing page is less than a third preset percentage;
the processing module 20 is further configured to increase the first preset percentage in response to that the user click rate of the first landing page is smaller than a third preset percentage.
In the technical scheme of the disclosure, the acquisition, storage, application and the like of the personal information of the related user all accord with the regulations of related laws and regulations, and do not violate the good customs of the public order.
The present disclosure also provides an electronic device, a readable storage medium, and a computer program product according to embodiments of the present disclosure.
FIG. 5 shows a schematic block diagram of an example electronic device 1100 that may 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 phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not intended to limit implementations of the disclosure described and/or claimed herein.
As shown in fig. 5, the device 1100 comprises a computing unit 1101, which may 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 necessary for the operation of the device 1100 may also be stored. The calculation unit 1101, the ROM1102, and the RAM1103 are connected to each other by a bus 1104. An input/output (I/O) interface 1105 is also connected to bus 1104.
A number of components in device 1100 connect to I/O interface 1105, including: an input unit 1106 such as a keyboard, a mouse, and the like; 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, or the like; and a communication unit 1109 such as a network card, a modem, a wireless communication transceiver, and 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 can be a variety of general purpose and/or special purpose processing components having processing and computing capabilities. Some examples of the computing unit 1101 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various dedicated Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, and the like. 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 in a machine-readable medium, such as storage unit 1108. In some embodiments, part or all of the computer program 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 circuitry, Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), system on a 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 that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
Program code for implementing the methods of the present disclosure may be written in any combination of one or more programming languages. These program codes 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 codes, when executed by the processor or controller, cause the functions/operations specified in the flowchart and/or block diagram to be performed. 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. A 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 a pointing device (e.g., a mouse or a 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 can 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, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end 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 back-end, 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 clients and servers. A client and server are generally 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 with a combined blockchain.
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present disclosure may be executed in parallel, sequentially, or in different orders, as long as the desired results of the technical solutions disclosed in the present disclosure can be achieved, and the present disclosure is not limited herein.
The above detailed description should not be construed as limiting the scope of the disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present disclosure should be included in the scope of protection of the present disclosure.
Claims (20)
1. An information search method, comprising:
receiving user input to obtain a search word;
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 a display page by the first landing page and the search result page.
2. The method of claim 1, prior to obtaining the search term, further comprising:
acquiring a plurality of first landing pages;
determining a recall word corresponding to each first landing page according to the first landing page;
and forming a preset database by the plurality of first landing pages and the 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 terms, comprising:
and acquiring a first landing page corresponding to a 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 terms, comprising:
and acquiring a first landing page corresponding to the recall word contained in the search word.
5. The method of claim 1, the obtaining a first landing page from the search terms, comprising:
performing semantic understanding on the search terms to obtain search term semantics;
and acquiring a first landing page according to the search word semantics.
6. The method of claim 1, after the combining the first landing page and a search results page into a presentation page, further comprising:
and responding to a first specific instruction of a user, and displaying a first landing page in the display pages as a full screen.
7. The method of claim 1, after the composing the first landing page and a search results 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;
and responding to a third specific instruction of the user, showing a second landing page corresponding to the 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.
8. The method of claim 6, after said presenting a first landing page of said presentation pages as a full screen, further comprising:
acquiring a plurality of historical user operation data with the same search terms as the search terms;
determining a landing page with the highest user click rate according to the plurality of historical user operation data;
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;
and replacing the landing page with the highest user click rate by the first landing page in response to the fact that the user click rate of the landing page with the highest user click rate exceeds a first preset percentage.
9. The method of claim 6, after said presenting a first landing page of said presentation pages as a full screen, further comprising:
acquiring a plurality of historical user operation data with the same search terms as the search terms;
responding to the fact that the quantity of the plurality of historical user operation data exceeds 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 in response to the click rate of the first landing page being smaller than a second preset percentage, deleting the first landing page.
10. The method of claim 6, after said presenting a first landing page of said presentation pages as a full screen, further comprising:
acquiring a plurality of historical user operation data with the same search terms as the search terms;
responding to the number of the plurality of historical user operation data exceeding a second preset number, and judging whether the user click rate of the first landing page is smaller than a third preset percentage or not;
and responding to the fact that the user click rate of the first landing page is smaller than a third preset percentage, and increasing the first preset percentage.
11. An information search apparatus comprising:
the receiving module is used for receiving user input to obtain a search word;
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 a display page by the first landing page and the search result page.
12. The apparatus of claim 11, comprising:
the receiving module is further used for acquiring a plurality of first landing pages;
the processing module is further used for determining a recall word corresponding to each first landing page according to the first landing page;
the processing module is further used for enabling the plurality of first landing pages and the recall words corresponding to the first landing pages one to form a preset database.
13. The apparatus of claim 11, comprising:
the processing module is further used for obtaining a first landing page corresponding to a recall word which is identical to the search word.
14. The apparatus of claim 11, further comprising:
the processing module is further used for obtaining a first landing page corresponding to the recall word contained in the search word.
15. The apparatus of claim 11, comprising:
the processing module is further used for performing semantic understanding on the search terms to obtain search term semantics;
and the processing module is also used for acquiring a first landing page according to the search word semantics.
16. The apparatus of claim 11, further comprising:
and the display module is used for responding to a first specific instruction of a user and displaying a first landing page in the display pages as a full screen.
17. The apparatus of claim 11, comprising:
the display module is further used for responding to a second specific instruction of the user and displaying the search result page in the display page as a full screen;
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.
18. 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 1-10.
19. A non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method of any one of claims 1-10.
20. A computer program product comprising a computer program which, when executed by a processor, implements the method according to any one of claims 1-10.
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 |
| PCT/CN2022/141577 WO2023125315A1 (en) | 2021-12-31 | 2022-12-23 | Information search method and apparatus, electronic device and storage medium |
| JP2023551187A JP2024507902A (en) | 2021-12-31 | 2022-12-23 | Information retrieval methods, devices, electronic devices and storage media |
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 true CN114428902A (en) | 2022-05-03 |
| CN114428902B 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) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| WO2023125315A1 (en) * | 2021-12-31 | 2023-07-06 | 北京百度网讯科技有限公司 | Information search method and apparatus, electronic device and storage medium |
Citations (19)
| 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)
| 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 |
-
2021
- 2021-12-31 CN CN202111681475.8A patent/CN114428902B/en active Active
-
2022
- 2022-12-23 WO PCT/CN2022/141577 patent/WO2023125315A1/en active Application Filing
- 2022-12-23 JP JP2023551187A patent/JP2024507902A/en active Pending
Patent Citations (20)
| 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 |
| US20150278376A1 (en) * | 2014-04-01 | 2015-10-01 | Baidu (China) Co., Ltd. | Method and apparatus for presenting 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 |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2023125315A1 (en) * | 2021-12-31 | 2023-07-06 | 北京百度网讯科技有限公司 | Information search method and apparatus, electronic device 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 |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114428902B (en) | 2023-11-14 |
| WO2023125315A1 (en) | 2023-07-06 |
| JP2024507902A (en) | 2024-02-21 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| WO2023125315A1 (en) | Information search method and apparatus, electronic device and storage medium | |
| CN112989235B (en) | Knowledge base-based inner link construction method, device, equipment and storage medium | |
| CN113806660B (en) | Data evaluation method, training device, electronic equipment and storage medium | |
| CN107609192A (en) | The supplement searching method and device of a kind of search engine | |
| EP3992814A2 (en) | Method and apparatus for generating user interest profile, electronic device and storage medium | |
| CN111666417A (en) | Method and device for generating synonyms, electronic equipment and readable storage medium | |
| CN114048315A (en) | Method and device for determining document tag, electronic equipment and storage medium | |
| CN113239278A (en) | Information display method and device, electronic equipment and storage medium | |
| CN112528146A (en) | Content resource recommendation method and device, electronic equipment and storage medium | |
| CN116257690A (en) | Resource recommendation method and device, electronic equipment and storage medium | |
| CN116383340A (en) | Information searching method, device, electronic equipment and storage medium | |
| CN112860626B (en) | Document ordering method and device and electronic equipment | |
| CN115454261A (en) | Input method candidate word generation method and device, electronic equipment and readable storage medium | |
| CN114238745A (en) | Method and device for providing search result, electronic equipment and medium | |
| CN114328855A (en) | Document query method and device, electronic equipment and readable storage medium | |
| CN114417862A (en) | Text matching method, and training method and device of text matching model | |
| CN112528644A (en) | Entity mounting method, device, equipment and storage medium | |
| CN113377921B (en) | Method, device, electronic equipment and medium for matching information | |
| CN113377922B (en) | Method, device, electronic equipment and medium for matching information | |
| CN113239296B (en) | Method, device, equipment and medium for displaying small program | |
| CN112527126B (en) | Information acquisition method and device and electronic equipment | |
| CN116383491B (en) | Information recommendation method, apparatus, device, storage medium, and program product | |
| CN113822057B (en) | Location information determination method, location information determination device, electronic device, and storage medium | |
| CN113360602B (en) | Method, apparatus, device and storage medium for outputting information | |
| CN114443935A (en) | Content searching method and device and electronic equipment |
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 |