CN113722586A

CN113722586A - Searching method and device and electronic equipment

Info

Publication number: CN113722586A
Application number: CN202110914728.5A
Authority: CN
Inventors: 林建素; 黄晓烽
Original assignee: Beijing Sogou Technology Development Co Ltd
Current assignee: Beijing Sogou Technology Development Co Ltd
Priority date: 2021-08-10
Filing date: 2021-08-10
Publication date: 2021-11-30

Abstract

The embodiment of the application provides a searching method, a searching device and electronic equipment, wherein the method comprises the following steps: receiving a search request; searching based on the search request and an external quality factor pre-constructed based on third-party data, and generating corresponding sorting information and identification information for at least one search result item obtained by searching; the external quality factor is a multi-dimensional evaluation index generated based on the third-party data; returning the at least one search result item, wherein the search result item carries the corresponding sorting information and the corresponding identification information; the identification information is information for describing the search result item. According to the embodiment of the application, the search result is optimized through the external quality factor, so that a more reasonable search result is obtained, the search quality is improved, and the search experience of a user is improved.

Description

Searching method and device and electronic equipment

Technical Field

The present application relates to the field of internet search, and in particular, to a search method, apparatus, and electronic device.

Background

The search engine is a system that collects information from the internet by using a specific computer program according to a certain policy, organizes and processes the information, provides a search service for a user, and displays information related to user search to the user. The search engine searches according to a search request input by a user, evaluates and sorts the search results after obtaining the search results, and therefore returns the most needed results of the user.

However, in the prior art, searching is usually performed based on quality factors in a search engine system, and when a user searches for content in a related field outside the search engine system, the support of the quality factors in the related field outside the search engine system is lacked, so that more reasonable search result ordering cannot be obtained, and the search experience of the user is poor.

Disclosure of Invention

The embodiment of the application provides a searching method to improve the efficiency of information reply.

Correspondingly, the embodiment of the application also provides a searching device and electronic equipment, which are used for ensuring the realization and application of the method.

In order to solve the above problem, an embodiment of the present application discloses a search method, which is applied to a search engine server, and specifically includes:

receiving a search request;

searching based on the search request and an external quality factor pre-constructed based on third-party data, and generating corresponding sorting information and identification information for at least one search result item obtained by searching; the external quality factor is a multi-dimensional evaluation index generated based on the third-party data;

returning the at least one search result item, wherein the search result item carries the corresponding sorting information and the corresponding identification information; the identification information is information for describing the search result item.

Optionally, the searching based on the search request and an external quality factor pre-constructed based on third party data includes:

performing intention identification on the search request based on the search request and an external quality factor pre-constructed based on third-party data to obtain at least one search intention;

searching according to the at least one search intention.

Optionally, the generating corresponding identification information for at least one search result item obtained by the search includes:

determining quality evaluation information matched with the at least one search result item according to the external quality factor;

and generating identification information corresponding to the at least one search result item according to the quality evaluation information matched with the at least one search result item.

Optionally, the generating corresponding ranking information for at least one search result item obtained by the search includes:

determining the weight of the at least one search result item according to the quality evaluation information matched with the at least one search result item;

and generating ranking information corresponding to the at least one search result item according to the weight of the at least one search result item.

Optionally, the determining the weight of the at least one search result according to the quality evaluation information matched with the at least one search result item includes:

and determining the weight of the at least one search result item through the quality evaluation information matched with the at least one search result item and an internal quality factor constructed in advance based on a search engine database.

Optionally, the external quality factor is generated by:

acquiring third-party data;

determining quality evaluation indexes of multiple dimensions in the third-party data; the quality evaluation indexes of the multiple dimensions comprise at least one of the following: quality evaluation indexes of the sites, quality evaluation indexes of application software and quality evaluation indexes of texts;

and constructing an external quality factor according to the quality evaluation indexes of the multiple dimensions.

The embodiment of the application also discloses a search device, which is applied to a search engine server, and the device comprises:

a request receiving module for receiving a search request;

the searching module is used for searching based on the searching request and an external quality factor pre-constructed based on third-party data, and generating corresponding sorting information and identification information for at least one searching result item obtained by searching; the external quality factor is a multi-dimensional evaluation index generated based on the third-party data;

a returning module, configured to return the at least one search result item, where the search result item carries the corresponding sorting information and identification information; the identification information is information for describing the search result item.

Optionally, the search module includes:

the intention identification submodule is used for carrying out intention identification on the search request based on the search request and an external quality factor pre-constructed based on third-party data to obtain at least one search intention;

and the intention searching submodule is used for searching according to the at least one searching intention.

Optionally, the search module includes:

the first information matching sub-module is used for determining quality evaluation information matched with the at least one search result item according to the external quality factor;

and the identification information generation submodule is used for generating identification information corresponding to the at least one search result item according to the quality evaluation information matched with the at least one search result item.

Optionally, the search module includes:

the second information matching submodule is used for determining quality evaluation information matched with the at least one search result item according to the external quality factor;

the weight determining submodule is used for determining the weight of the at least one search result item according to the quality evaluation information matched with the at least one search result item;

and the ranking information generation submodule is used for generating ranking information corresponding to the at least one search result item according to the weight of the at least one search result item.

Optionally, the weight determination sub-module includes:

and the search weight determining unit is used for determining the weight of the at least one search result item through the quality evaluation information matched with the at least one search result item and an internal quality factor constructed in advance based on a search engine database.

Optionally, the external quality factor is generated by:

the data acquisition module is used for acquiring third-party data;

the evaluation index determining module is used for determining quality evaluation indexes of multiple dimensions in the third-party data; the quality evaluation indexes of the multiple dimensions comprise at least one of the following: quality evaluation indexes of the sites, quality evaluation indexes of application software and quality evaluation indexes of texts;

and the construction module is used for constructing the external quality factor according to the quality evaluation indexes of the multiple dimensions.

The embodiment of the application also discloses an electronic device, which comprises: a processor, a memory and a computer program stored on the memory and capable of running on the processor, which computer program, when executed by the processor, carries out the steps of the search method as described above.

The embodiment of the application also discloses a computer readable storage medium, wherein a computer program is stored on the computer readable storage medium, and when the computer program is executed by a processor, the steps of the searching method are realized.

The embodiment of the application has the following advantages:

in the embodiment of the application, the search engine server searches according to the search request and an external quality factor pre-constructed based on third-party data, generates corresponding sorting information and display information for at least one search result item obtained through searching, returns the search result and the sorting information and identification information corresponding to the search result to the user, and optimizes the search result through the external quality factor, so that a more reasonable search result is obtained, the search quality is improved, and the search experience of the user is improved.

Drawings

FIG. 1 is a flow chart of the steps of one embodiment of a search method of the present application;

FIG. 2 is a flow chart of the steps of an alternative embodiment of a search method of the present application;

FIG. 3 is a block diagram of a search apparatus according to an embodiment of the present application;

FIG. 4 is a block diagram of an alternative embodiment of a search apparatus of the present application;

FIG. 5 illustrates a block diagram of an electronic device for searching, according to an exemplary embodiment;

fig. 6 is a schematic structural diagram of an electronic device for searching according to another exemplary embodiment of the present application.

Detailed Description

In order to make the aforementioned objects, features and advantages of the present application more comprehensible, the present application is described in further detail with reference to the accompanying drawings and the detailed description.

When the search engine server searches, the search engine server only needs to build an internal quality factor in advance based on the search engine server, lacks the support of the quality factor of the relevant field outside the search engine database, and cannot obtain more reasonable search result sequencing.

One of the core concepts of the embodiment of the application is as follows: the search engine server searches according to the search request and an external quality factor pre-constructed based on third-party data, generates corresponding sorting information and display information for at least one search result obtained through searching, returns the search result and the sorting information and identification information corresponding to the search result to the user, and optimizes the sorting of the search result through the external quality factor, so that a more reasonable search result is obtained, the search quality is improved, and the search experience of the user is improved.

Referring to fig. 1, a flowchart illustrating steps of an embodiment of a search method of the present application is shown, which may specifically include the following steps:

step 101, receiving a search request.

The method can be applied to a search engine server, and the search engine server can receive a search request input by a user through a terminal. For example, a user opens a search client through a terminal, inputs a search request to the search client, and the search client transmits the search request to a search engine server.

And 102, searching based on the search request and an external quality factor pre-constructed based on third-party data, and generating corresponding sorting information and identification information for at least one search result item obtained by searching.

The third-party data refers to data collected by a search engine from third-party service providers in different fields according to actual business needs. When the third-party service provider provides services for the user, the third-party service provider may record data generated in the process of providing the services, and the third-party service provider may include, but is not limited to, APP application stores, content providers, browsers, and cinema service providers.

In practice, data can be collected from third-party service providers in different fields according to actual business needs, and third-party data in different fields can be obtained. For example, the browser may record data such as a user IP address, access times, a site server response condition, and user evaluation in the process of providing a site information resource service for the user; the APP store can record user access time, APP download amount, APP scores and other data in the process of providing APP download information service for the user; the search engine can collect data recorded by the browser and the APP application store to obtain third-party data.

The external quality factor is a multi-dimensional evaluation index generated based on third-party data, and evaluation indexes of different dimensions can be set according to actual needs. Illustratively, the external quality factors can be set to include evaluation indexes of content dimension, site dimension and presentation dimension; the content dimensions may be dimensions for browser pages, applications, and content providers; the site dimensions may be dimensions for site loading speed, site audience extent, and user ratings of the site; the presentation dimension may be a dimension for the page layout and page content.

The identification information is information for describing the search result item, such as category information, authentication information, and the like. For example, when the search result item is a dog search high-speed browser, the corresponding identification information may be "official download"; the search result item is that the robot meeting is about to be on the screen, and the corresponding identification information can be 'news'.

The identification information may be presented at a presentation position corresponding to the search result item, for example, the identification information of the search result item may be displayed at a content description of the search result item on a title side of the search result item.

And 103, returning the at least one search result item, wherein the search result item carries the sorting information and the identification information.

In the embodiment of the application, after the search engine server performs the search, the search result item can be returned, and the generated ranking information and the identification information corresponding to the search result item can be returned. For example, the ranking information corresponding to the search result item "movie title is 1, and the identification information is official; the search result item 'local movie/cinema' corresponds to the sequencing information of 2, and the identification information is real-time movie; the sequencing information corresponding to the search result item 'movie hotting download website' is 3, and the identification information is safe download.

Referring to fig. 2, a flowchart illustrating steps of an alternative embodiment of the search method of the present application is shown, which may specifically include the following steps:

step 201, a search request is received.

Step 202, performing intention identification on the search request based on the search request and an external quality factor pre-constructed based on third-party data to obtain at least one search intention.

After receiving a search request of a user, searching can be performed according to the classification of the query words input by the user to obtain an initial search result. And according to the multi-dimensional evaluation index of the external quality factor corresponding to the initial search result, expanding the search result classification, according to the classification of the user historical query data collected by the search engine server, obtaining a query term expanded classification result, and according to the query term classification and the query term expanded classification, obtaining at least one search intention.

For example, a user inputs a query word "fighting against all the grass of Chinese groves" and sends out a search request, and during internal search, the search can be performed for the novel classification, so that a plurality of search results of the novel classification are obtained. According to the external quality factors corresponding to the plurality of search results, the fact that the search results are classified into TV plays by the external quality factors and the search results are expanded into the TV plays can be obtained, and the query words are expanded into the cartoon according to the classification of the historical query data of the user, so that the query words are expanded into the novel and cartoon results, and the query intentions of the TV plays, the novel and cartoon are determined.

In the embodiment of the present application, the external quality factor is generated through sub-steps S11-S13:

and a substep S11 of obtaining third party data.

Third party data provided by a third party service provider cooperating with the search engine server may be obtained.

For example, third-party data such as the episode of the tv show, the cast, the score of the user, the collection of the user, the playing times, etc. recorded by the cooperative tv show playing platform are obtained.

And a substep S12 of determining quality evaluation indexes of a plurality of dimensions in the third-party data.

The quality evaluation index may be a plurality of indexes for evaluating the quality of a certain target object classification. The dimension of the quality evaluation index can be obtained by the third-party service provider sorting third-party data in advance. For example, if the target object is a drama, quality evaluation indexes of multiple dimensions of the drama can be determined according to multiple indexes, such as star-level scores and download volumes, of the corresponding drama recorded by a drama service provider; if the target object is a site, the quality evaluation indexes of multiple dimensions of the site can be determined according to multiple indexes, such as user browsing amount, user feedback condition and the like of the corresponding site recorded by the browser.

And a substep S13, constructing an external quality factor according to the quality evaluation indexes of the plurality of dimensions.

The method comprises the steps of obtaining historical data recorded by a third-party service provider, wherein the historical data can comprise historical click records and historical query words, extracting different data classifications from the historical data, and constructing multi-dimensional quality evaluation indexes of the data classifications corresponding to a target object according to the multi-dimensional quality evaluation indexes of the target object, namely constructing external quality factors of different classifications.

For example, a drama service provider records history data such as the number of persons watching a tv drama and the number of persons watching a tv drama, which are searched and clicked by a user, extracts a certain tv drama watched by the user as an even drama category from the history data, and constructs a multi-dimensional quality evaluation index of the even drama category corresponding to the certain tv drama according to quality evaluation indexes such as star rating, download amount and the like of the certain tv drama.

For example, when the browser provides site service for the user, the browser collects information such as complaints and feedback of the user, collects spam list information, determines the information as user evaluation information of the site and content evaluation information of the site, and constructs an external quality factor according to the user evaluation information of the site and the content evaluation information of the site.

For example, a mobile phone, as a carrier of mobile phone application software, records information such as installation, use, cheating, market use, frequency and the like of each application software by a user, determines the information as user use information of the application software, and constructs an external quality factor according to the user use information of the application software.

For example, the knowledge content service provider collects information such as quality weight, author popularity, and user reading amount of an article, determines the information as quality service information of a text, and constructs an external quality factor according to the quality service information of the text.

For example, when the APP store provides services for users, information such as a relatively high rating, a good rating/bad rating number, a pornographic/illegal APP list and the like is collected, the information is determined as user use information of application software and user evaluation information of the application software, and an external quality factor is constructed according to the user use information of the application software and the user evaluation information of the application software.

Step 203, searching according to the at least one search intention.

And after obtaining the at least one search intention, the search engine server searches according to the search words and the corresponding at least one search intention. For example, the search engine server obtains the search intention of "novel", "drama", and performs a search based on the search intention of "novel", "drama".

Step 204, determining quality evaluation information matched with the at least one search result item according to the external quality factor.

In the embodiment of the application, after the search intention of the user is determined and the search is performed, at least one search result item can be obtained, and the quality evaluation information matched with each search result item is determined according to the external quality factors set as the evaluation indexes of different dimensions.

For example, by determining the search intention of the user "novel" or "drama", a search result including the latest chapter reading address a of the cloaca strumaria novel and the playing address B of the cloaca strumaria drama can be obtained. For the address a, the evaluation index of the external quality factor may include the content provider of the novel and the evaluation of the user on the site, and the quality evaluation information that the content provider of the novel is the first edition and the evaluation of the user on the site is satisfactory is obtained through the evaluation index (which may be from the third party data). For the address B, the evaluation indexes of the external quality factor may include a rating of the tv series and an evaluation of the user on the site, and the quality evaluation information that the rating of the tv series is five stars and the evaluation of the user on the site is more advertisements is obtained through the evaluation indexes (which may be from third-party data).

Step 205, generating identification information corresponding to the at least one search result item according to the quality evaluation information matched with the at least one search result item.

In the embodiment of the application, the identification information corresponding to the search result can be generated according to the quality evaluation information which is determined by the external quality factor and is matched with the search result, and the identification information is displayed based on the display position of the search result. Specifically, the identification information corresponding to the search result may be displayed before the content description of the search result on the search result title side. For example, according to the quality evaluation information of the first right edition by the novel content provider matched with the latest chapter reading address A of the broad-leaved lemma novel of the search result, the identifier of the "first edition" can be displayed on the right side of the title of the search result; according to the quality evaluation information that the television episode score matched with the broadcast address B of the search result Zhao Fang vault television episode is five stars, the score can be displayed below the title of the search result: 8 points ".

Step 206, determining a weight coefficient of the at least one search result according to the external quality factor.

In the embodiment of the present application, the step 206 includes sub-steps S21-S22:

and a substep S21 of determining quality evaluation information matching the at least one search result item based on the external quality factor.

And a substep S22 of determining a weight of the at least one search result item through the quality evaluation information matched with the at least one search result item and an internal quality factor pre-constructed based on a search engine database.

In the embodiment of the present application, the weight of at least one search result item may be determined by quality evaluation information matching the search result item determined according to the external quality factor and quality evaluation information matching the search result item determined according to the internal quality factor.

For example, for the search result address a, the quality evaluation information that the novel content provider is the original issue and the user evaluates to the site as satisfactory is obtained by an external quality factor (which may be from third-party data), and the quality evaluation information that the site has a large number of browsing times is obtained by an internal quality factor (which may be from a database of a search engine server), and the weight that the search result is the address a is determined to be 1 by integrating the quality evaluation information. For the search result address B, quality evaluation information that the website is evaluated to be rich in advertisements and low in video definition by the user is obtained through an external quality factor (which can be obtained from third-party data), quality evaluation information that the online browsing time of the user is short is obtained through an internal quality factor (which can be obtained from a database of a search engine server), and the weight of the search result address B can be determined to be 2 through the comprehensive quality evaluation information.

And a substep S23 of generating ranking information corresponding to the at least one search result item according to the weight of the at least one search result item.

Step 207, returning the at least one search result item, and the ranking information and the identification information corresponding to each search result item.

In the embodiment of the present application, at least one search result item may be sequentially ranked according to ranking information corresponding to the at least one search result item; according to the identification information corresponding to at least one search result item, the identification information corresponding to the search result item can be displayed on the title side of the search result item, below the title or before the content description. The search engine server returns at least one search result item and the ranking information and the identification information corresponding to each search result item, and a user can check the search results which are ranked in sequence according to the ranking information and are identified according to the identification information.

In the embodiment of the application, the search engine server searches according to the search request and an external quality factor pre-constructed based on third-party data, generates corresponding sorting information and display information for at least one search result obtained by searching, returns the search result and the sorting information and identification information corresponding to the search result to the user, optimizes the query intention for searching, optimizes the sorting of the search result, optimizes the display of the search result and the like according to the external quality factor, so that more reasonable search results are obtained, the search quality is improved, and the search experience of the user is improved.

In order to enable those skilled in the art to better understand the embodiments of the present application, the following description is given by way of an example:

(1) the third party facilitator pre-constructs the external quality factor based on the third party data. For example, when the APP store provides services for users, information related to quality evaluation of multiple dimensions, such as a relatively high score, a good/bad score number, a pornographic/illegal APP list, and the like, is collected to construct an external quality factor.

(2) The search engine server pre-constructs the internal quality factor. For example, the search engine server constructs an internal quality factor according to the information related to quality evaluation of multiple dimensions, such as APP flash back frequency, user use duration and the like, stored in the search engine server.

(3) The search engine server receives a search request of a user and searches through an external quality factor to obtain at least one search intention, and searches according to the at least one search intention. For example, a user inputs 'how to fill in college entrance examination volunteers' in a search box for searching, and a search intention 'method for filling in college entrance examination volunteers' can be obtained; through external quality factors, the search intention of 'provinces and provinces over the year' can be obtained; searching according to the searching intention including a method for filling college entrance examination volunteers and a method for filling college entrance examination and the provinces of all years of provinces of the universities of the college entrance examination volunteers, and the information related to the method for filling college entrance examination volunteers in APP of the provinces of; for example, questions and answers related to the method for reporting college entrance examination volunteers in the knowledge sharing APP, articles related to the method for reporting college entrance examination volunteers released by different accounts in the social APP, and the like.

(4) And the search engine server generates corresponding sorting information and identification information for at least one search result item obtained by searching. For example, according to the external quality factor, information related to quality evaluation with star rating, download amount as user dimension and APP backspace as use dimension may be generated.

Through the quality evaluation information and the internal quality factor constructed based on the search engine database, the score of the social APP in the application store is three stars, the downloading amount is low, the flash quit condition is frequently encountered in the using process, the complaint condition of a user is frequent, and the weight of an article which is issued by different account numbers of the social APP and is related to the method for filling college entrance examination volunteers as a search result is determined to be 1; the knowledge sharing APP scores four stars in the application store, the number of the flash back situations is small, and the weight of the question and answer related to the method for filling college entrance examination volunteers, which is obtained by taking the knowledge sharing APP as the search result, is determined to be 3. If the question and answer of the knowledge sharing APP is issued by an authenticated official media account, such as ' people's daily report ' and ' Chinese education report ', an external quality factor marks the question and answer webpage as ' authority authentication ', and a search engine server searches according to the external quality factor and generates ' authority authentication ' identification information corresponding to the ' method for reporting college entrance examination aspiration ' of the knowledge sharing APP obtained by searching.

If cooperation is established only with the APP application store, the introduced external quality factors are related to APP related services, when the search result is a website of the past year province control line of each province, the user of the website is known to have high rating rate through the internal quality factors established based on the search engine database, and the weight of the search result as the past year province control line of each province is determined to be 2.

(5) The search engine server returns at least one search result item and corresponding ranking information and identification information to the user, and the user can view the search results in the sequential arrangement and the identification information carried in the search results. For example, a question and answer of a "method for reporting college entrance examination volunteers" with a sequentially arranged search result being a knowledge sharing APP is obtained, and the title of the question and answer is provided with authority authentication identification information, websites of provinces of past years provincial lines, and an article of the "method for reporting college entrance examination volunteers" issued by social APP users.

It should be noted that, for simplicity of description, the method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the embodiments are not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the embodiments. Further, those skilled in the art will also appreciate that the embodiments described in the specification are presently preferred and that no particular act is required of the embodiments of the application.

Referring to fig. 3, a block diagram of a search apparatus according to an embodiment of the present application is shown, and is applied to a search engine server, and specifically includes the following modules:

a request receiving module 301, configured to receive a search request;

a search module 302, configured to perform a search based on the search request and an external quality factor pre-constructed based on third-party data, and generate corresponding ranking information and identification information for at least one search result item obtained through the search; the external quality factor is a multi-dimensional evaluation index generated based on the third-party data;

a returning module 303, configured to return the at least one search result item, where the search result item carries the corresponding sorting information and identification information; the identification information is information for describing the search result item.

Referring to fig. 4, a block diagram of an alternative embodiment of a search apparatus of the present application is shown.

In an optional embodiment of the present application, the search module 302 may include:

an intention identifying submodule 3021, configured to perform intention identification on the search request based on the search request and an external quality factor pre-constructed based on third-party data, and obtain at least one search intention;

an intention search submodule 3022 for searching according to the at least one search intention.

a first information matching sub-module 3023, configured to determine quality evaluation information matching the at least one search result item according to the external quality factor;

an identification information generating sub-module 3024, configured to generate identification information corresponding to the at least one search result item according to the quality evaluation information matched with the at least one search result item.

a second information matching sub-module 3025, configured to determine quality evaluation information matching the at least one search result item according to the external quality factor;

a weight determining sub-module 3026, configured to determine a weight of the at least one search result item according to the quality evaluation information matching the at least one search result item;

the ranking information generating sub-module 3027 is configured to generate ranking information corresponding to the at least one search result item according to the weight of the at least one search result item.

In an optional embodiment of the present application, the weight determining submodule 3026 may include:

a search weight determination unit 30261 for determining a weight of the at least one search result item by the quality evaluation information matched with the at least one search result item and an internal quality factor constructed in advance based on a search engine database.

In an optional embodiment of the present application, the external quality factor is generated by:

a data acquisition module 304, configured to acquire third-party data;

an evaluation index determining module 305, configured to determine quality evaluation indexes of multiple dimensions in the third-party data; the quality evaluation indexes of the multiple dimensions comprise at least one of the following: quality evaluation indexes of the sites, quality evaluation indexes of application software and quality evaluation indexes of texts;

a constructing module 306, configured to construct an external quality factor according to the quality evaluation indexes of the multiple dimensions.

For the device embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, refer to the partial description of the method embodiment.

Fig. 5 is a block diagram illustrating a structure of an electronic device 500 for searching according to an example embodiment. For example, the electronic device 500 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a gaming console, a tablet device, a medical device, a fitness device, a personal digital assistant, a smart wearable device, and the like.

Referring to fig. 5, electronic device 500 may include one or more of the following components: a processing component 502, a memory 504, a power component 506, a multimedia component 508, an audio component 510, an input/output (I/O) interface 512, a sensor component 514, and a communication component 516.

The processing component 502 generally controls overall operation of the electronic device 500, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing elements 502 may include one or more processors 520 to execute instructions to perform all or a portion of the steps of the methods described above. Further, the processing component 502 can include one or more modules that facilitate interaction between the processing component 502 and other components. For example, the processing component 502 can include a multimedia module to facilitate interaction between the multimedia component 508 and the processing component 502.

The memory 504 is configured to store various types of data to support operations at the electronic device 500. Examples of such data include instructions for any application or method operating on the electronic device 500, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 504 may be implemented by any type or combination of volatile or non-volatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.

The power component 506 provides power to the various components of the electronic device 500. Power components 506 may include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for electronic device 500.

The multimedia component 508 includes a screen that provides an output interface between the electronic device 500 and a user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 508 includes a front facing camera and/or a rear facing camera. The front camera and/or the rear camera may receive external multimedia data when the electronic device 500 is in an operating mode, such as a shooting mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.

The audio component 510 is configured to output and/or input audio signals. For example, the audio component 510 includes a Microphone (MIC) configured to receive external audio signals when the electronic device 500 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may further be stored in the memory 504 or transmitted via the communication component 516. In some embodiments, audio component 510 further includes a speaker for outputting audio signals.

The I/O interface 512 provides an interface between the processing component 502 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.

The sensor assembly 514 includes one or more sensors for providing various aspects of status assessment for the electronic device 500. For example, the sensor assembly 514 may detect an open/closed state of the electronic device 500, the relative positioning of components, such as a display and keypad of the electronic device 500, the sensor assembly 514 may detect a change in the position of the electronic device 500 or a component of the electronic device 500, the presence or absence of user contact with the electronic device 500, orientation or acceleration/deceleration of the electronic device 500, and a change in the temperature of the electronic device 500. The sensor assembly 514 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 514 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 514 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

The communication component 516 is configured to facilitate wired or wireless communication between the electronic device 500 and other devices. The electronic device 500 may access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication section 514 receives a broadcast signal or broadcast associated information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communications component 514 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

In an exemplary embodiment, the electronic device 500 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the above-described methods.

In an exemplary embodiment, a non-transitory computer-readable storage medium comprising instructions, such as the memory 504 comprising instructions, executable by the processor 520 of the electronic device 500 to perform the above-described method is also provided. For example, the non-transitory computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.

A non-transitory computer readable storage medium in which instructions, when executed by a processor of an electronic device, enable the electronic device to perform a search method, the method comprising:

receiving a search request;

searching according to the at least one search intention.

Optionally, the external quality factor is generated by:

acquiring third-party data;

Fig. 6 is a schematic structural diagram of an electronic device 600 for searching according to another exemplary embodiment of the present application. The electronic device 600 may be a server, which may vary greatly due to different configurations or capabilities, and may include one or more Central Processing Units (CPUs) 622 (e.g., one or more processors) and memory 632, one or more storage media 630 (e.g., one or more mass storage devices) storing applications 642 or data 644. Memory 632 and storage medium 630 may be, among other things, transient or persistent storage. The program stored in the storage medium 630 may include one or more modules (not shown), each of which may include a series of instruction operations for the server. Still further, the central processor 622 may be configured to communicate with the storage medium 630 to execute a series of instruction operations in the storage medium 630 on the server.

The server may also include one or more power supplies 626, one or more wired or wireless network interfaces 650, one or more input-output interfaces 658, one or more keyboards 656, and/or one or more operating systems 641, such as Windows Server, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, etc.

In an exemplary embodiment, the server is configured to execute the one or more programs by the one or more central processors 622 including instructions for:

receiving a search request;

searching according to the at least one search intention.

Optionally, further comprising instructions for generating the external quality factor by:

acquiring third-party data;

The embodiments in the present specification are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.

Embodiments of the present application are described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable search terminal to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable search terminal, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable search terminal to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable search terminal to cause a series of operational steps to be performed on the computer or other programmable terminal to produce a computer implemented process such that the instructions which execute on the computer or other programmable terminal provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

While preferred embodiments of the present application have been described, additional variations and modifications of these embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including the preferred embodiment and all such alterations and modifications as fall within the true scope of the embodiments of the application.

In addition, the age (sex, identification number, passport number, and the like (adjusted as needed)) and the like according to the embodiment of the present application are not suitable for use of personal information, but are described in general.

Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or terminal that comprises the element.

The above detailed description is provided for a search method, a search apparatus and an electronic device, and the principles and embodiments of the present application are explained in detail by applying specific examples, and the descriptions of the above examples are only used to help understand the method and the core ideas of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.

Claims

1. A search method is applied to a search engine server, and comprises the following steps:

receiving a search request;

2. The method of claim 1, wherein searching based on the search request and an external quality factor pre-constructed based on third party data comprises:

searching according to the at least one search intention.

3. The method of claim 1, wherein generating corresponding identification information for at least one search result item obtained by the search comprises:

4. The method of claim 1, wherein generating corresponding ranking information for at least one search result item obtained by the search comprises:

5. The method of claim 4, wherein the determining the weight of the at least one search result according to the quality evaluation information matched with the at least one search result item comprises:

6. The method of claim 1, wherein the external quality factor is generated by:

acquiring third-party data;

7. A search apparatus, applied to a search engine server, the apparatus comprising:

a request receiving module for receiving a search request;

8. The apparatus of claim 7, wherein the search module comprises:

9. The apparatus of claim 7, wherein the search module comprises:

10. The apparatus of claim 7, wherein the search module comprises:

11. The apparatus of claim 10, wherein the weight determination submodule comprises:

12. The apparatus of claim 7, wherein the external quality factor is generated by:

the data acquisition module is used for acquiring third-party data;

13. An electronic device, comprising: processor, memory and a computer program stored on the memory and executable on the processor, which computer program, when executed by the processor, carries out the steps of the search method according to any one of claims 1 to 6.

14. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the search method according to any one of claims 1 to 6.