CN111241379B - Search result processing method and device, electronic equipment and computer readable medium - Google Patents

Search result processing method and device, electronic equipment and computer readable medium Download PDF

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CN111241379B
CN111241379B CN201811432680.9A CN201811432680A CN111241379B CN 111241379 B CN111241379 B CN 111241379B CN 201811432680 A CN201811432680 A CN 201811432680A CN 111241379 B CN111241379 B CN 111241379B
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search
vector
determining
search result
characteristic data
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CN111241379A (en
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孙连生
尹康平
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Alibaba Group Holding Ltd
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Alibaba Group Holding Ltd
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    • 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

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Abstract

The embodiment of the application provides a search result processing method, a search result processing device, electronic equipment and a computer readable medium. Wherein the method comprises the following steps: determining time-efficiency characteristic data of search information input by a user through a search engine; based on the aging characteristic data of the search information, when part of search results in the search results corresponding to the prediction search information do not have aging, determining the aging characteristic data of the search results; and executing processing operation on the search result when the search result is determined to be not time-efficient based on the time-efficient characteristic data of the search result. According to the method and the device for determining the time-lapse characteristic data of the search result, when the time-lapse characteristic data of the search information is based, and the part of the search result corresponding to the search information is predicted to be not time-lapse, the time-lapse characteristic data of the search result is determined, and therefore computing resources of the electronic equipment can be saved. In addition, when the search result is determined to be not time-efficient based on the time-efficient characteristic data of the search result, processing operation is performed on the search result, so that the search experience of a user can be improved.

Description

Search result processing method and device, electronic equipment and computer readable medium
Technical Field
The embodiment of the application relates to the technical field of internet, in particular to a method and a device for processing search results, electronic equipment and a computer readable medium.
Background
In a search engine, as time goes by, some search results in the search results corresponding to the search information may expire and fail, and the content of the relevant web page document in some search results cannot provide useful information for the user, so that the user spends more effort and time to filter the search results, thereby causing poor search experience for the user.
For example, when a user searches for a "world cup" during the 2018 world cup by a conventional search engine, search results related to the 2014 world cup, or search results related to an earlier world cup, may be presented in a search results page of the search engine. However, these search results associated with past world cups have not been time-efficient, and even some of them have expired. For example, a web page document describes the results of a game in the game, not the final results of the game, without reference value. When browsing the content of the related web page document in the search result, the user may know that the content of the web page document has been invalidated after reading the content of the web page document, which causes a poor search experience for the user and may further cause loss of the user.
Disclosure of Invention
The invention aims to provide a processing method, a processing device, electronic equipment and a computer readable medium for search results, which are used for solving the problem that in the prior art, users need to spend more energy and time to screen search results, so that the user search experience is poor.
According to a first aspect of embodiments of the present application, a method for processing a search result is provided. The method comprises the following steps: determining time-efficiency characteristic data of search information input by a user through a search engine; based on the aging characteristic data of the search information, when part of search results in the search results corresponding to the search information are predicted to have no aging, determining the aging characteristic data of the search results; and executing processing operation on the search result when the search result is determined to be not time-efficient based on the time-efficient characteristic data of the search result.
According to a second aspect of embodiments of the present application, a processing apparatus for a search result is provided. The device comprises: the first determining module is used for determining time-lapse characteristic data of search information input by a user through a search engine; the second determining module is used for determining the aging characteristic data of the search results when predicting that part of the search results corresponding to the search information are not aging based on the aging characteristic data of the search information; and the processing module is used for executing processing operation on the search result when the search result is determined to be not time-efficient based on the time-efficient characteristic data of the search result.
According to a third aspect of embodiments of the present application, there is provided an electronic device, including: one or more processors; a computer readable medium configured to store one or more programs which, when executed by the one or more processors, cause the one or more processors to implement a method of processing search results as described in the first aspect of the embodiments described above.
According to a fourth aspect of embodiments of the present application, there is provided a computer readable medium having stored thereon a computer program which, when executed by a processor, implements a method of processing search results as described in the first aspect of the above embodiments.
According to the technical scheme provided by the embodiment of the application, the timeliness characteristic data of the search information input by the user through the search engine is determined, the timeliness characteristic data of the search result is determined when part of the search results corresponding to the search information are predicted to be not timeliness based on the timeliness characteristic data of the search information, the processing operation is executed on the search result when the search results are determined to be not timeliness based on the timeliness characteristic data of the search result, and compared with other existing modes, the timeliness characteristic data of the search result is determined when the part of the search results corresponding to the search information are predicted to be not timeliness based on the timeliness characteristic data of the search information, so that the computing resources of the electronic equipment can be saved. In addition, when the search result is determined to be not time-efficient based on the time-efficient characteristic data of the search result, processing operation is performed on the search result, so that the search result can be prevented from being screened by a user with more effort and time, and the search experience of the user can be improved.
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Other features, objects and advantages of the present application will become more apparent upon reading of the detailed description of non-limiting embodiments, made with reference to the following drawings, in which:
FIG. 1 is a flow chart of steps of a method for processing search results according to a first embodiment of the present application;
FIG. 2 is a flowchart illustrating a method for processing search results according to a second embodiment of the present disclosure;
FIG. 3 is a flowchart illustrating a method for processing search results according to a second embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of a processing device for search results in the third embodiment of the present application;
fig. 5 is a schematic structural diagram of a processing device for search results in the fourth embodiment of the present application;
fig. 6 is a schematic structural diagram of an electronic device in a fifth embodiment of the present application;
fig. 7 is a hardware structure of an electronic device in the sixth embodiment of the present application.
Detailed Description
The present application is described in further detail below with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely configured to illustrate the related invention, and are not limiting of the invention. It should be noted that, for convenience of description, only the portions related to the present invention are shown in the drawings.
It should be noted that, in the case of no conflict, the embodiments and features in the embodiments may be combined with each other. The present application will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
In the prior art, as time goes by, some of the search results corresponding to the search information may expire and fail, and the content of the relevant web page document in the some of the search results cannot provide useful information for the user, so that the user spends more effort and time to filter the search results, thereby causing poor search experience for the user. Aiming at the problem that the user search experience is poor because the user needs to spend more energy and time screening search results in the prior art, the application provides the following solutions.
Referring to fig. 1, a step flow diagram of a method for processing search results according to an embodiment of the present application is shown.
Specifically, the processing method of the search result of the present embodiment includes the following steps:
in step S101, age characteristic data of search information input by a user through a search engine is determined.
In embodiments of the present application, the search information input by the user through the search engine may include search keywords, search phrases, etc., where the search keywords may include, but are not limited to, chinese words, english words, pictures, etc. The aging characteristic data of the search information may include a vector or a numerical value or the like characterizing the aging characteristic of the search information. The aging characteristic of the search information may be simply understood as whether or not there is an aging requirement for the search results corresponding to the search information, for example, when a user searches for "world cup" through a search engine during 2018 world cup, the user may expect more of the search results page of the search engine to display search results related to 2018 world cup, and less of the search results page of the search engine may expect to display search results related to 2014 world cup, or search results related to earlier world cup. For another example, when a user searches for "trigonometric functions" via a search engine, there is no aging requirement for the search results presented in the search results page of the search engine, and the use and principles of the trigonometric functions do not change significantly over time. It will be appreciated that the above description is exemplary only, and that the embodiments of the present application are not limited in any way.
In a specific example, the aging characteristic data of the search information includes at least one of: a first vector for characterizing the content of the search information, a second vector for characterizing the entity name included in the search information, and a third vector for characterizing the name of the website to which the search result belongs. Wherein the entity names include character names, place names, organization names, song names, movie names, medicine names, novel names, literary works names, etc. Thereby, the aging characteristic parameters of different dimensions can be used to characterize the aging characteristic of the search information. It will be appreciated that the above description is exemplary only, and that the embodiments of the present application are not limited in any way.
In some optional embodiments, when determining aging characteristic data of search information input by a user through a search engine, segmenting content of the search information, and determining at least one segmentation word of the search information; generating a respective word vector for each of the at least one word segment; the first vector for characterizing the content of the search information is determined based on the word vector of each of the at least one word segment. Thereby, the vector for characterizing the content of the search information, which is included in the aging characteristic data of the search information, can be accurately determined. It will be appreciated that any implementation of determining age characteristic data of search information entered by a user via a search engine may be used herein, and embodiments of the present application are not limited in this regard.
In a specific example, when generating a corresponding word vector for each word segment in the at least one word segment, each word segment in the at least one word segment is respectively input into a word2vec model which is completely trained, and a corresponding word vector is generated for each word segment in the at least one word segment through the word2vec model. When determining the first vector for representing the content of the search information based on the word vector of each of the at least one word segment, adding the word vector of each of the at least one word segment to obtain a sum of the word vectors; based on the sum of the word vectors and the number of the at least one word segment, a corresponding average value vector is determined, and the determined average value vector is used as the first vector for representing the content of the search information. It will be appreciated that the above description is exemplary only, and that the embodiments of the present application are not limited in any way.
In some optional embodiments, when determining aging characteristic data of search information input by a user through a search engine, performing semantic analysis on content of the search information to determine entity names included in the search information; based on the type of the entity name, the second vector for characterizing the entity name is determined. Thereby, the vector for characterizing the entity name included in the aging characteristic data of the search information can be accurately determined. It will be appreciated that any implementation of determining age characteristic data of search information entered by a user via a search engine may be used herein, and embodiments of the present application are not limited in this regard.
In a specific example, when the semantic analysis is performed on the content of the search information to determine the entity name included in the search information, the semantic analysis is performed on the content of the search information through a semantic analysis model to determine the entity name included in the search information. When the second vector used for representing the entity name is determined based on the type of the entity name, searching a vector corresponding to the type of the entity name in a pre-configured vector stored in a database based on the type of the entity name, and determining the vector corresponding to the type of the entity name as the second vector used for representing the entity name. Before searching a vector corresponding to the type of the entity name in pre-configured vectors stored in a database, configuring the vector corresponding to the type of the entity name based on the type of the entity name; and stores the vectors configured for the types of entity names in the corresponding databases. It will be appreciated that the above description is exemplary only, and that the embodiments of the present application are not limited in any way.
In some optional embodiments, when determining aging characteristic data of search information input by a user through a search engine, analyzing search results corresponding to the search information, and determining names of websites to which the search results belong; and determining the third vector used for representing the name of the website based on the name of the website to which the search result belongs. Thus, the vector which is included in the time-effect characteristic data of the search information and is used for representing the name of the website to which the search result belongs can be accurately determined. It will be appreciated that any implementation of determining age characteristic data of search information entered by a user via a search engine may be used herein, and embodiments of the present application are not limited in this regard.
In a specific example, when the search result corresponding to the search information is analyzed, the relevant field of the link address in the search result corresponding to the search information is analyzed, and the name of the website to which the search result belongs is determined. When determining the third vector used for representing the name of the website based on the name of the website to which the search result belongs, searching a vector corresponding to the name of the website in preconfigured vectors stored in a database based on the name of the website, and determining the vector corresponding to the name of the website as the third vector used for representing the name of the website. Before searching a vector corresponding to the name of the website in the pre-configured vectors stored in the database, configuring the vector corresponding to the name of the website based on the name of the website; and stores the vector configured for the name of the website in a corresponding database. In addition, the aging characteristic data of the search information includes a third vector for representing a name of the website to which the search result belongs, because the name of the website to which the search result corresponding to the search information belongs can reflect the aging characteristic of the search information from the side of the search result, for example, when the search information is registered by a public servicer, according to the website to which the search result corresponding to the search information is mainly a test class, it can be determined that the category to which the search information belongs is a test class, and the aging requirement is provided for the corresponding search result. If the search results include a link or advertisement that was noted by the 2015 public officer, such search results have expired for the current search information. It will be appreciated that the above description is exemplary only, and that the embodiments of the present application are not limited in any way.
In step S102, based on the aging characteristic data of the search information, when it is predicted that some of the search results corresponding to the search information are not aging, the aging characteristic data of the search results is determined.
In some alternative embodiments, prior to determining the aging characteristic data for the search results, the method further comprises: determining a value for characterizing an aging characteristic of the search information based on aging characteristic data of the search information; if the numerical value is determined to be greater than or equal to a preset threshold value, predicting that part of search results in the search results corresponding to the search information are not time-efficient. The preset threshold may be set by a person skilled in the art according to actual needs, which is not limited in the embodiment of the present application. Therefore, part of the search results corresponding to the search information can be accurately predicted to be not time-efficient. It will be appreciated that the above description is exemplary only, and that the embodiments of the present application are not limited in any way.
In a specific example, when determining a value for characterizing an aging characteristic of the search information based on aging characteristic data of the search information, a fourth vector for characterizing the aging characteristic of the search information is determined based on the first vector, the second vector, and the third vector; based on the fourth vector, a value characterizing an aging characteristic of the search information is determined. When a fourth vector used for representing the aging characteristic of the search information is determined based on the first vector, the second vector and the third vector, multiplying the first vector with a weight value corresponding to the first vector to obtain the multiplied first vector; multiplying the second vector with a weight value corresponding to the second vector to obtain the multiplied second vector; multiplying the third vector by a weight value corresponding to the third vector to obtain the multiplied third vector; and performing a stitching operation on the multiplied first vector, the multiplied second vector and the multiplied third vector to determine a fourth vector used for representing the ageing characteristic of the search information. The weight value corresponding to the first vector, the weight value corresponding to the second vector and the weight value corresponding to the third vector can be obtained by training based on manually marked historical search information. Calculating a modulus value of the fourth vector when determining a value characterizing an aging characteristic of the search information based on the fourth vector; and determining the modulus value of the fourth vector as a numerical value for representing the aging characteristic of the search information. And after determining the numerical value used for representing the aging characteristic of the search information, if the numerical value is determined to be smaller than a preset threshold value, predicting that the search result corresponding to the search information has aging. It will be appreciated that the above description is exemplary only, and that the embodiments of the present application are not limited in any way.
In embodiments of the present application, the aging characteristic data of the search results may include a vector or a numerical value, etc. that characterizes the aging characteristics of the search results. The aging characteristic of the search results may be understood simply as the temporal characteristics of the search results, for example, when a user searches for a "world cup" during the 2018 world cup by a search engine, not only will the search results related to the 2018 world cup be presented in the search results page of the search engine, but also the search results related to the 2014 world cup, or the search results related to the earlier world cup, will be presented. It will be appreciated that the above description is exemplary only, and that the embodiments of the present application are not limited in any way.
In a specific example, the aging characteristic data of the search results includes at least one of: a fifth vector for characterizing location information of the web page documents in the search results in the web site, a sixth vector for characterizing content of the web page documents in the search results, a seventh vector for characterizing publication time of the web page documents in the search results, and an eighth vector for characterizing update time of the web page documents in the search results. The location information of the web page document in the search result in the website can be understood as navigation information of the web page document in the website, for example, the general form of the navigation information can be 'first page > new wave news > scrolling news', etc. Thereby, the aging characteristic parameters of different dimensions can be used to characterize the aging characteristics of the search results. It will be appreciated that the above description is exemplary only, and that the embodiments of the present application are not limited in any way.
In some optional embodiments, when determining the aging characteristic data of the search result, acquiring position information of the webpage document in the search result in a website; based on the location information, the fifth vector is determined that characterizes the location information. By this, the vector used for representing the position information of the webpage document in the search result in the website and included in the aging characteristic data of the search result can be accurately determined. It will be appreciated that any implementation of determining the aging characteristic data for the search results is applicable herein, and the embodiments of the present application are not limited in this regard.
In a specific example, when the position information of the web page document in the search result in the website is acquired, the position information of the web page document in the website is extracted in the navigation part of the web page document by a web crawler. And when the fifth vector used for representing the position information is determined based on the position information, searching a vector corresponding to the position information in a pre-configured vector stored in a database based on the position information of the webpage document in the search result, and determining the vector corresponding to the position information as the fifth vector used for representing the position information. Before searching a vector corresponding to the position information in a pre-configured vector stored in a database, configuring the vector corresponding to the position information based on the position information of the webpage document in the search result in a website; and storing the vectors configured for the location information into a corresponding database. In addition, the aging characteristic data of the search result includes a fifth vector for characterizing location information of the web page document in the search result in the website because the location information of the web page document in the search result in the website can reflect a type of the web page document, for example, the type of the web page document may be an education type, a recruitment type, a rental type. Thus, based on the type information of the webpage document and in combination with the release time of the webpage document, whether the corresponding search result is expired or not can be determined. It will be appreciated that the above description is exemplary only, and that the embodiments of the present application are not limited in any way.
In some optional embodiments, when determining the aging characteristic data of the search result, segmenting content of a web page document in the search result, and determining at least one segmentation word of the web page document; generating a respective word vector for each of the at least one word segment; the sixth vector for characterizing the content of the web document is determined based on the word vector for each of the at least one word segment. By this, the vector for characterizing the content of the web page document in the search result, which is included in the aging characteristic data of the search result, can be accurately determined. It will be appreciated that any implementation of determining the aging characteristic data for the search results is applicable herein, and the embodiments of the present application are not limited in this regard.
In a specific example, when generating a corresponding word vector for each word segment in the at least one word segment, each word segment in the at least one word segment is respectively input into a word2vec model which is completely trained, and a corresponding word vector is generated for each word segment in the at least one word segment through the word2vec model. When determining the sixth vector for representing the content of the web document based on the word vector of each of the at least one word segment, adding the word vector of each of the at least one word segment to obtain a sum of the word vectors; based on the sum of the word vectors and the number of the at least one word segment, a corresponding average value vector is determined, and the determined average value vector is used as the sixth vector for representing the content of the web page document. It will be appreciated that the above description is exemplary only, and that the embodiments of the present application are not limited in any way.
In some alternative embodiments, when determining the aging characteristic data of the search results, extracting the release time of the webpage documents in the search results; determining a time difference between the release time of the webpage document and the search time of the user; based on the time difference, the seventh vector characterizing the publication time is determined. By this, the vector for characterizing the release time of the web page document in the search result, which is included in the aging characteristic data of the search result, can be accurately determined. It will be appreciated that any implementation of determining the aging characteristic data for the search results is applicable herein, and the embodiments of the present application are not limited in this regard.
In a specific example, when extracting the publication time of the web page document in the search result, the publication time of the web page document in the search result is extracted by the web crawler. When determining the time difference between the release time of the webpage document and the search time of the user, subtracting the release time of the webpage document from the search time of the user to obtain the time difference. Generating a single-dimensional vector by taking the time difference as one dimension of a vector when determining the seventh vector for representing the release time based on the time difference; the vector of the single dimension is determined to be the seventh vector used to characterize the publication time. It will be appreciated that the above description is exemplary only, and that the embodiments of the present application are not limited in any way.
In some alternative embodiments, when determining the aging characteristic data of the search results, detecting, by a web crawler, update times of web page documents in the search results; determining a time difference between the update time of the web page document and the search time of the user; based on the time difference, the eighth vector characterizing the update time is determined. By this, the vector for characterizing the update time of the web page document in the search result, which is included in the aging characteristic data of the search result, can be accurately determined. It will be appreciated that any implementation of determining the aging characteristic data for the search results is applicable herein, and the embodiments of the present application are not limited in this regard.
In a specific example, when determining a time difference between the update time of the web document and the search time of the user, the time difference is obtained by subtracting the update time of the web document from the search time of the user. Generating a single-dimensional vector by taking the time difference as one dimension of a vector when determining the eighth vector for characterizing the update time based on the time difference; the vector of the single dimension is determined to be the eighth vector used to characterize the update time. It will be appreciated that the above description is exemplary only, and that the embodiments of the present application are not limited in any way.
In step S103, when it is determined that the search result is not time-efficient based on the time-efficient feature data of the search result, a processing operation is performed on the search result.
In some alternative embodiments, prior to performing processing operations on the search results, the method further comprises: determining a value for characterizing an aging characteristic of the search result based on the aging characteristic data of the search result; and if the numerical value is determined to be greater than or equal to a preset threshold value, determining that the search result is not time-efficient. The preset threshold may be set by a person skilled in the art according to actual needs, which is not limited in the embodiment of the present application. Therefore, the search result corresponding to the search information can be accurately determined to be not time-efficient. It will be appreciated that the above description is exemplary only, and that the embodiments of the present application are not limited in any way.
In a specific example, in determining a value for characterizing an aging characteristic of the search result based on aging characteristic data of the search result, a ninth vector for characterizing the aging characteristic of the search result is determined based on the fifth vector, the sixth vector, the seventh vector, and the eighth vector; based on the ninth vector, a value is determined that characterizes an aging characteristic of the search results. When a ninth vector for representing the aging characteristic of the search result is determined based on the fifth vector, the sixth vector, the seventh vector and the eighth vector, multiplying the fifth vector by a weight value corresponding to the fifth vector to obtain the multiplied fifth vector; multiplying the sixth vector by a weight value corresponding to the sixth vector to obtain the multiplied sixth vector; multiplying the seventh vector by a weight value corresponding to the seventh vector to obtain the multiplied seventh vector; multiplying the eighth vector by a weight value corresponding to the eighth vector to obtain the multiplied eighth vector; and performing a stitching operation on the multiplied fifth vector, the multiplied sixth vector, the multiplied seventh vector and the multiplied eighth vector to determine a ninth vector for characterizing the aging characteristic of the search result. The weight value corresponding to the fifth vector, the weight value corresponding to the sixth vector, the weight value corresponding to the seventh vector, and the weight value corresponding to the eighth vector may be obtained by training based on manually-noted historical search results. Calculating a modulus value of the ninth vector when determining a value for characterizing an aging characteristic of the search result based on the ninth vector; and determining the modulus value of the ninth vector as a numerical value for characterizing the aging characteristic of the search result. After determining a value for characterizing an aging characteristic of the search result, if the value is determined to be less than a preset threshold, determining that the search result is aging. It will be appreciated that the above description is exemplary only, and that the embodiments of the present application are not limited in any way.
In some alternative embodiments, a delete operation is performed on the search results while a processing operation is performed on the search results such that the search results are not presented in the current search results page of the search engine. Therefore, the invalid and expired search results can be deleted, so that the search results in the validity period are displayed in the current search result page of the search engine, the search results are prevented from being screened by the user with more effort and time, and the search experience of the user is further improved. It will be appreciated that the above description is exemplary only, and that the embodiments of the present application are not limited in any way.
According to the processing method for the search results, the timeliness characteristic data of the search information input by the user through the search engine is determined, the timeliness characteristic data of the search results are determined when part of the search results corresponding to the search information are not timeliness based on the timeliness characteristic data of the search information, the processing operation is executed on the search results when the part of the search results are not timeliness based on the timeliness characteristic data of the search results, and compared with other existing modes, the timeliness characteristic data of the search results are determined when the part of the search results corresponding to the search information are not timeliness based on the timeliness characteristic data of the search information, so that the computing resources of the electronic equipment can be saved. In addition, when the search result is determined to be not time-efficient based on the time-efficient characteristic data of the search result, processing operation is performed on the search result, so that the search result can be prevented from being screened by a user with more effort and time, and the search experience of the user can be improved.
The method of processing search results of the present embodiment may be performed by any suitable device having data processing capabilities, including, but not limited to: cameras, terminals, mobile terminals, PCs, servers, vehicle-mounted devices, entertainment devices, advertising devices, personal Digital Assistants (PDAs), tablet computers, notebook computers, palm-top gaming devices, smart glasses, smart watches, wearable devices, virtual display devices or display enhancement devices (e.g., google Glass, oculus lift, hollens, gear VR), and the like.
Referring to fig. 2, a step flow diagram of a method for processing search results according to a second embodiment of the present application is shown.
Specifically, the processing method of the search result of the present embodiment includes the following steps:
in step S201, age characteristic data of search information input by a user through a search engine is determined.
Since the present step S201 is similar to the step S101, the description thereof will not be repeated here.
In step S202, based on the aging characteristic data of the search information, when it is predicted that some of the search results corresponding to the search information are not aging, the aging characteristic data of the search results is determined.
Since the present step S202 is similar to the step S102, the description thereof will not be repeated here.
In step S203, when it is determined that the search result is not time-efficient based on the time-efficient feature data of the search result, ranking information of the search result in a current search result page of the search engine is adjusted.
In the embodiment of the application, when the search results are determined to be not time-efficient, the ordering information of the search results in the current search result page of the search engine is adjusted so that the search results which are not time-efficient are displayed on the tail page of the current search result page of the search engine and serve as alternative search results browsed by a user on the search result page. Therefore, the occurrence of the condition that the user finds or clicks the search result with expiration failure on the search result page can be reduced, and the search experience of the user is further improved. In addition, false deletion of stale search results can be avoided. It will be appreciated that the above description is exemplary only, and that the embodiments of the present application are not limited in any way.
In one specific example, when a user searches for a "world cup," search results associated with the world cup that occurred recently in the newer 2018 year are provided, search results associated with the past world cup are eliminated, or the ranking is reduced. And when the user searches for the 'trigonometric function', the deleting operation or the reordering operation is not performed on the search result. It will be appreciated that the above description is exemplary only, and that the embodiments of the present application are not limited in any way.
In a specific example, as shown in fig. 3, when implementing the processing scheme of the search result provided in the embodiment of the present application, the server first performs expiration identification on the user query, and predicts whether the search result corresponding to the user query is time-efficient. The search results relevant to the user query are then ranked, and the ranked results of the search results relevant to the user query are determined. And when part of search results in the search results corresponding to the predicted user query are not time-efficient, performing expiration identification on each search result related to the user query. If it is determined that a certain search result related to the user query does not have timeliness, the ordering of the search results is adjusted so that the search results are arranged at the tail end of a search result page, the occurrence of the condition that the user finds or clicks the search result on the search result page can be reduced, and the search experience of the user is further improved. It will be appreciated that the above description is exemplary only, and that the embodiments of the present application are not limited in any way.
According to the processing method for the search results, the timeliness feature data of the search information input by the user through the search engine is determined, the timeliness feature data of the search results are determined when part of the search results corresponding to the search information are not timeliness based on the timeliness feature data of the search information, the ordering information of the search results in the current search result page of the search engine is adjusted when the timeliness feature data of the search results are determined to be not timeliness based on the timeliness feature data of the search information, and compared with other existing modes, the timeliness feature data of the search results are determined when the timeliness feature data of the part of the search results corresponding to the search information are predicted to be not timeliness based on the timeliness feature data of the search information, so that calculation resources of electronic equipment can be saved. In addition, when the timeliness characteristic data of the search results are determined to be not timeliness, the ordering information of the search results in the current search result page of the search engine is adjusted, so that the occurrence of the condition that the user clicks the search results not timeliness can be reduced, and the search experience of the user can be improved.
The method of processing search results of the present embodiment may be performed by any suitable device having data processing capabilities, including, but not limited to: cameras, terminals, mobile terminals, PCs, servers, vehicle-mounted devices, entertainment devices, advertising devices, personal Digital Assistants (PDAs), tablet computers, notebook computers, palm-top gaming devices, smart glasses, smart watches, wearable devices, virtual display devices or display enhancement devices (e.g., google Glass, oculus lift, hollens, gear VR), and the like.
Referring to fig. 4, a schematic structural diagram of a processing device for a search result in the third embodiment of the present application is shown.
The processing device of the search result of the present embodiment includes: a first determining module 301, configured to determine aging characteristic data of search information input by a user through a search engine; a second determining module 302, configured to determine aging characteristic data of a search result corresponding to the search information when predicting that a part of the search results do not have aging based on the aging characteristic data of the search information; and the processing module 303 is configured to perform a processing operation on the search result when it is determined that the search result is not time-efficient based on the time-efficient feature data of the search result.
The processing device for the search results in this embodiment is configured to implement the processing method for the corresponding search results in the foregoing multiple method embodiments, and has the beneficial effects of the corresponding method embodiments, which are not described herein.
Referring to fig. 5, a schematic structural diagram of a processing device for a search result in the fourth embodiment of the present application is shown.
The processing device of the search result of the present embodiment includes: a first determining module 401, configured to determine aging characteristic data of search information input by a user through a search engine; a second determining module 404, configured to determine aging characteristic data of a search result corresponding to the search information when predicting that a part of the search results do not have aging based on the aging characteristic data of the search information; and the processing module 407 is configured to perform a processing operation on the search result when it is determined that the search result is not time-efficient based on the time-efficient characteristic data of the search result.
Optionally, the aging characteristic data of the search information includes at least one of: a first vector for characterizing the content of the search information, a second vector for characterizing the entity name included in the search information, and a third vector for characterizing the name of the website to which the search result belongs.
Optionally, the first determining module 401 is specifically configured to: segmenting the content of the search information, and determining at least one segmentation word of the search information; generating a respective word vector for each of the at least one word segment; the first vector for characterizing the content of the search information is determined based on the word vector of each of the at least one word segment.
Optionally, the first determining module 401 is specifically configured to: semantic analysis is carried out on the content of the search information, and entity names included in the search information are determined; based on the type of the entity name, the second vector for characterizing the entity name is determined.
Optionally, the first determining module 401 is specifically configured to: analyzing the search result corresponding to the search information, and determining the name of the website to which the search result belongs; and determining the third vector used for representing the name of the website based on the name of the website to which the search result belongs.
Optionally, before the second determining module 404, the apparatus further includes: a third determining module 402, configured to determine, based on the aging characteristic data of the search information, a numerical value for characterizing an aging characteristic of the search information; and the prediction module 403 is configured to predict that a part of the search results corresponding to the search information does not have timeliness if the numerical value is determined to be greater than or equal to a preset threshold.
Optionally, the third determining module 402 is specifically configured to: determining a fourth vector characterizing an aging characteristic of the search information based on the first vector, the second vector, and the third vector; based on the fourth vector, a value characterizing an aging characteristic of the search information is determined.
Optionally, the aging characteristic data of the search results includes at least one of: a fifth vector for characterizing location information of the web page documents in the search results in the web site, a sixth vector for characterizing content of the web page documents in the search results, a seventh vector for characterizing publication time of the web page documents in the search results, and an eighth vector for characterizing update time of the web page documents in the search results.
Optionally, the second determining module 404 is specifically configured to: acquiring the position information of the webpage document in the search result in a website; based on the location information, the fifth vector is determined that characterizes the location information.
Optionally, the second determining module 404 is specifically configured to: segmenting the content of the webpage document in the search result, and determining at least one segmentation word of the webpage document; generating a respective word vector for each of the at least one word segment; the sixth vector for characterizing the content of the web document is determined based on the word vector for each of the at least one word segment.
Optionally, the second determining module 404 is specifically configured to: extracting the release time of the webpage document in the search result; determining a time difference between the release time of the webpage document and the search time of the user; based on the time difference, the seventh vector characterizing the publication time is determined.
Optionally, the second determining module 404 is specifically configured to: detecting the update time of the webpage document in the search result through a web crawler; determining a time difference between the update time of the web page document and the search time of the user; based on the time difference, the eighth vector characterizing the update time is determined.
Optionally, before the processing module 407, the apparatus further includes: a fourth determining module 405 configured to determine a numerical value for characterizing an aging characteristic of the search result based on the aging characteristic data of the search result; a fifth determining module 406 is configured to determine that the search result is not time-efficient if the numerical value is determined to be greater than or equal to a preset threshold.
Optionally, the fourth determining module 405 is specifically configured to: determining a ninth vector for characterizing an aging characteristic of the search result based on the fifth vector, the sixth vector, the seventh vector, and the eighth vector; based on the ninth vector, a value is determined that characterizes an aging characteristic of the search results.
Optionally, the processing module 407 is specifically configured to: adjusting the ranking information of the search results in the current search result page of the search engine; or performing a delete operation on the search results such that the search results are not shown in the current search results page of the search engine.
The processing device for the search results in this embodiment is configured to implement the processing method for the corresponding search results in the foregoing multiple method embodiments, and has the beneficial effects of the corresponding method embodiments, which are not described herein.
Fig. 6 is a schematic structural diagram of an electronic device in a fifth embodiment of the present application; the electronic device may include:
one or more processors 501;
computer readable media 502, which may be configured to store one or more programs,
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method for processing search results as described in the first or second embodiments.
Fig. 7 is a hardware structure of an electronic device in a sixth embodiment of the present application; as shown in fig. 7, the hardware structure of the electronic device may include: a processor 601, a communication interface 602, a computer readable medium 603 and a communication bus 604;
Wherein the processor 601, the communication interface 602, and the computer readable medium 603 communicate with each other via a communication bus 604;
alternatively, the communication interface 602 may be an interface of a communication module, such as an interface of a GSM module;
wherein the processor 601 may specifically be configured to: determining time-efficiency characteristic data of search information input by a user through a search engine; based on the aging characteristic data of the search information, when part of search results in the search results corresponding to the search information are predicted to have no aging, determining the aging characteristic data of the search results; and executing processing operation on the search result when the search result is determined to be not time-efficient based on the time-efficient characteristic data of the search result.
The processor 601 may be a general-purpose processor, including a central processing unit (Central Processing Unit, CPU for short), a network processor (Network Processor, NP for short), and the like; but may also be a Digital Signal Processor (DSP), application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components. The disclosed methods, steps, and logic blocks in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The computer readable medium 603 can be, but is not limited to, random access Memory (Random Access Memory, RAM), read Only Memory (ROM), programmable Read Only Memory (Programmable Read-Only Memory, PROM), erasable Read Only Memory (Erasable Programmable Read-Only Memory, EPROM), electrically erasable Read Only Memory (Electric Erasable Programmable Read-Only Memory, EEPROM), etc.
In particular, according to embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code configured to perform the method shown in the flow chart. In such embodiments, the computer program may be downloaded and installed from a network via a communication portion, and/or installed from a removable medium. The above-described functions defined in the method of the present application are performed when the computer program is executed by a Central Processing Unit (CPU). It should be noted that, the computer readable medium described in the present application may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable medium can be, for example but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having 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 media element, a magnetic storage media element, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present application, however, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
Computer program code configured to carry out operations of the present application may be written in one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of remote computers, the remote computers may be connected via any kind of network: including a Local Area Network (LAN) or a Wide Area Network (WAN), to connect to the user's computer, or may be connected to external computers (e.g., by way of the internet using an internet service provider).
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions configured to implement the specified logical function(s). The specific relationships in the embodiments described above are merely exemplary, and fewer, more, or an adjusted order of execution of the steps may be possible in a specific implementation. That is, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The modules involved in the embodiments described in the present application may be implemented by software, or may be implemented by hardware. The described modules may also be provided in a processor, for example, as: a processor comprises a first determining module, a second determining module and a processing module. The names of these modules do not in any way constitute a limitation of the module itself, and for example, the first determining module may also be described as "a module that determines age characteristic data of search information input by a user through a search engine".
As another aspect, the present application also provides a computer-readable medium having stored thereon a computer program which, when executed by a processor, implements a method of processing search results as described in the above embodiment one or embodiment two.
As another aspect, the present application also provides a computer-readable medium that may be contained in the apparatus described in the above embodiments; or may be present alone without being fitted into the device. The computer readable medium carries one or more programs which, when executed by the apparatus, cause the apparatus to: determining time-efficiency characteristic data of search information input by a user through a search engine; based on the aging characteristic data of the search information, when part of search results in the search results corresponding to the search information are predicted to have no aging, determining the aging characteristic data of the search results; and executing processing operation on the search result when the search result is determined to be not time-efficient based on the time-efficient characteristic data of the search result.
The terms "first," "second," "the first," or "the second," as used in various embodiments of the present disclosure, may modify various components without regard to order and/or importance, but these terms do not limit the corresponding components. The above description is only configured for the purpose of distinguishing an element from other elements. For example, the first user device and the second user device represent different user devices, although both are user devices. For example, a first element could be termed a second element, and, similarly, a second element could be termed a first element, without departing from the scope of the present disclosure.
When an element (e.g., a first element) is referred to as being "coupled" (operatively or communicatively) to "another element (e.g., a second element) or" connected "to another element (e.g., a second element), it is understood that the one element is directly connected to the other element or the one element is indirectly connected to the other element via yet another element (e.g., a third element). In contrast, it will be understood that when an element (e.g., a first element) is referred to as being "directly connected" or "directly coupled" to another element (a second element), then no element (e.g., a third element) is interposed therebetween.
The foregoing description is only of the preferred embodiments of the present application and is presented as a description of the principles of the technology being utilized. It will be appreciated by persons skilled in the art that the scope of the invention referred to in this application is not limited to the specific combinations of features described above, but it is intended to cover other embodiments in which any combination of features described above or equivalents thereof is possible without departing from the spirit of the invention. Such as the above-described features and technical features having similar functions (but not limited to) disclosed in the present application are replaced with each other.

Claims (32)

1. A method for processing search results, the method comprising:
determining time-lapse characteristic data of search information input by a user through a search engine, wherein the time-lapse characteristic data of the search information at least comprises: a third vector for characterizing the name of the website to which the search result pertains;
based on the aging characteristic data of the search information, when part of search results in the search results corresponding to the search information are predicted to have no aging, determining the aging characteristic data of the search results; wherein, the ageing characteristic data of the search result at least comprises: a fifth vector for characterizing location information of a web page document in the search result in a web site;
And executing processing operation on the search result when the search result is determined to be not time-efficient based on the time-efficient characteristic data of the search result.
2. The method of claim 1, wherein the aging characteristic data of the search information further comprises at least one of:
a first vector for characterizing the content of the search information, a second vector for characterizing the entity name comprised by the search information.
3. The method of claim 2, wherein when the age characteristic data of the search information includes the first vector, the determining the age characteristic data of the search information input by the user through the search engine comprises:
segmenting the content of the search information, and determining at least one segmentation word of the search information;
generating a respective word vector for each of the at least one word segment;
the first vector for characterizing the content of the search information is determined based on the word vector of each of the at least one word segment.
4. The method of claim 2, wherein when the age characteristic data of the search information includes the second vector, the determining the age characteristic data of the search information input by the user through the search engine comprises:
Semantic analysis is carried out on the content of the search information, and entity names included in the search information are determined;
based on the type of the entity name, the second vector for characterizing the entity name is determined.
5. The method of claim 2, wherein determining age characteristic data of search information entered by a user via a search engine comprises:
analyzing the search result corresponding to the search information, and determining the name of the website to which the search result belongs;
and determining the third vector used for representing the name of the website based on the name of the website to which the search result belongs.
6. The method of claim 2, wherein prior to the determining the aging characteristic data for the search results, the method further comprises:
determining a value for characterizing an aging characteristic of the search information based on aging characteristic data of the search information;
if the numerical value is determined to be greater than or equal to a preset threshold value, predicting that part of search results in the search results corresponding to the search information are not time-efficient.
7. The method of claim 6, wherein the determining a value characterizing an aging characteristic of the search information based on aging characteristic data of the search information comprises:
Determining a fourth vector characterizing an aging characteristic of the search information based on the first vector, the second vector, and the third vector;
based on the fourth vector, a value characterizing an aging characteristic of the search information is determined.
8. The method of claim 1, wherein the aging characteristic data of the search results further comprises at least one of:
a sixth vector for characterizing the content of the web page documents in the search results, a seventh vector for characterizing the release time of the web page documents in the search results, and an eighth vector for characterizing the update time of the web page documents in the search results.
9. The method of claim 8, wherein the determining the aging characteristic data for the search results comprises:
acquiring the position information of the webpage document in the search result in a website;
based on the location information, the fifth vector is determined that characterizes the location information.
10. The method of claim 8, wherein the determining the aging characteristic data for the search results comprises:
segmenting the content of the webpage document in the search result, and determining at least one segmentation word of the webpage document;
Generating a respective word vector for each of the at least one word segment;
the sixth vector for characterizing the content of the web document is determined based on the word vector for each of the at least one word segment.
11. The method of claim 8, wherein the determining the aging characteristic data for the search results comprises:
extracting the release time of the webpage document in the search result;
determining a time difference between the release time of the webpage document and the search time of the user;
based on the time difference, the seventh vector characterizing the publication time is determined.
12. The method of claim 8, wherein the determining the aging characteristic data for the search results comprises:
detecting the update time of the webpage document in the search result through a web crawler;
determining a time difference between the update time of the web page document and the search time of the user;
based on the time difference, the eighth vector characterizing the update time is determined.
13. The method of claim 8, wherein prior to performing the processing operation on the search results, the method further comprises:
Determining a value for characterizing an aging characteristic of the search result based on the aging characteristic data of the search result;
and if the numerical value is determined to be greater than or equal to a preset threshold value, determining that the search result is not time-efficient.
14. The method of claim 13, wherein the determining a value for characterizing an aging characteristic of the search result based on the aging characteristic data of the search result comprises:
determining a ninth vector for characterizing an aging characteristic of the search result based on the fifth vector, the sixth vector, the seventh vector, and the eighth vector;
based on the ninth vector, a value is determined that characterizes an aging characteristic of the search results.
15. The method of any of claims 1-14, wherein the performing processing operations on the search results comprises:
adjusting the ranking information of the search results in the current search result page of the search engine; or (b)
And executing a deleting operation on the search result so that the search result is not displayed in the current search result page of the search engine.
16. A processing apparatus for search results, the apparatus comprising:
The first determining module is used for determining ageing characteristic data of search information input by a user through a search engine, wherein the ageing characteristic data of the search information at least comprises: a third vector for characterizing the name of the website to which the search result pertains;
the second determining module is used for determining the aging characteristic data of the search results when predicting that part of the search results corresponding to the search information are not aging based on the aging characteristic data of the search information; wherein, the ageing characteristic data of the search result at least comprises: a fifth vector for characterizing location information of a web page document in the search result in a web site;
and the processing module is used for executing processing operation on the search result when the search result is determined to be not time-efficient based on the time-efficient characteristic data of the search result.
17. The apparatus of claim 16, wherein the aging characteristic data of the search information further comprises at least one of:
a first vector for characterizing the content of the search information, a second vector for characterizing the entity name comprised by the search information.
18. The apparatus of claim 17, wherein when the aging characteristic data of the search information includes the first vector, the first determining module is specifically configured to:
Segmenting the content of the search information, and determining at least one segmentation word of the search information;
generating a respective word vector for each of the at least one word segment;
the first vector for characterizing the content of the search information is determined based on the word vector of each of the at least one word segment.
19. The apparatus of claim 17, wherein when the aging characteristic data of the search information includes the second vector, the first determining module is specifically configured to:
semantic analysis is carried out on the content of the search information, and entity names included in the search information are determined;
based on the type of the entity name, the second vector for characterizing the entity name is determined.
20. The apparatus of claim 17, wherein the first determining module is specifically configured to:
analyzing the search result corresponding to the search information, and determining the name of the website to which the search result belongs;
and determining the third vector used for representing the name of the website based on the name of the website to which the search result belongs.
21. The apparatus of claim 17, wherein prior to the second determining module, the apparatus further comprises:
A third determining module, configured to determine a numerical value for characterizing an aging characteristic of the search information based on aging characteristic data of the search information;
and the prediction module is used for predicting that part of search results in the search results corresponding to the search information do not have timeliness if the numerical value is determined to be greater than or equal to a preset threshold value.
22. The apparatus of claim 21, wherein the third determining module is specifically configured to:
determining a fourth vector characterizing an aging characteristic of the search information based on the first vector, the second vector, and the third vector;
based on the fourth vector, a value characterizing an aging characteristic of the search information is determined.
23. The apparatus of claim 16, wherein the aging characteristic data for the search results further comprises at least one of:
a sixth vector for characterizing the content of the web page documents in the search results, a seventh vector for characterizing the release time of the web page documents in the search results, and an eighth vector for characterizing the update time of the web page documents in the search results.
24. The apparatus of claim 23, wherein the second determining module is specifically configured to:
Acquiring the position information of the webpage document in the search result in a website;
based on the location information, the fifth vector is determined that characterizes the location information.
25. The apparatus of claim 23, wherein the second determining module is specifically configured to:
segmenting the content of the webpage document in the search result, and determining at least one segmentation word of the webpage document;
generating a respective word vector for each of the at least one word segment;
the sixth vector for characterizing the content of the web document is determined based on the word vector for each of the at least one word segment.
26. The apparatus of claim 23, wherein the second determining module is specifically configured to:
extracting the release time of the webpage document in the search result;
determining a time difference between the release time of the webpage document and the search time of the user;
based on the time difference, the seventh vector characterizing the publication time is determined.
27. The apparatus of claim 23, wherein the second determining module is specifically configured to:
detecting the update time of the webpage document in the search result through a web crawler;
Determining a time difference between the update time of the web page document and the search time of the user;
based on the time difference, the eighth vector characterizing the update time is determined.
28. The apparatus of claim 23, wherein prior to the processing module, the apparatus further comprises:
a fourth determining module, configured to determine, based on the aging characteristic data of the search result, a numerical value for characterizing an aging characteristic of the search result;
and a fifth determining module, configured to determine that the search result is not time-efficient if it is determined that the numerical value is greater than or equal to a preset threshold.
29. The apparatus of claim 28, wherein the fourth determining module is specifically configured to:
determining a ninth vector for characterizing an aging characteristic of the search result based on the fifth vector, the sixth vector, the seventh vector, and the eighth vector;
based on the ninth vector, a value is determined that characterizes an aging characteristic of the search results.
30. The apparatus according to any of the claims 16-29, wherein the processing module is specifically configured to:
Adjusting the ranking information of the search results in the current search result page of the search engine; or (b)
And executing a deleting operation on the search result so that the search result is not displayed in the current search result page of the search engine.
31. An electronic device, comprising:
one or more processors;
a computer readable medium configured to store one or more programs,
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method of processing search results of any of claims 1-15.
32. A computer readable medium on which a computer program is stored, characterized in that the program, when being executed by a processor, implements a method of processing a search result as claimed in any one of claims 1-15.
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