CN111241379A

CN111241379A - Search result processing method and device, electronic equipment and computer readable medium

Info

Publication number: CN111241379A
Application number: CN201811432680.9A
Authority: CN
Inventors: 孙连生; 尹康平
Original assignee: Alibaba Group Holding Ltd
Current assignee: Alibaba Group Holding Ltd
Priority date: 2018-11-28
Filing date: 2018-11-28
Publication date: 2020-06-05
Anticipated expiration: 2038-11-28
Also published as: CN111241379B

Abstract

The embodiment of the application provides a search result processing method and 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 predicting that part of search results in the search results corresponding to the search information do not have aging, determining the aging characteristic data of the search results; and when the search result is determined not to have timeliness based on the timeliness characteristic data of the search result, performing processing operation on the search result. According to the embodiment of the application, when the timeliness characteristic data of the search information is used for predicting that part of the search results corresponding to the search information does not have timeliness, the timeliness characteristic data of the search results is determined, and the computing resources of the electronic equipment can be saved. In addition, when the search result is determined not to have timeliness based on the timeliness characteristic data of the search result, the processing operation is executed on the search result, and the search experience of the 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 a search result, electronic equipment and a computer readable medium.

Background

In a search engine, as time goes by, a part of search results in search results corresponding to search information may expire, and content of related web documents in the part of search results may not provide useful information for a user, so that the user spends more energy and time to screen the search results, thereby resulting in a poor search experience for the user.

For example, when a user searches for "world cup" through a conventional search engine during the world cup of 2018, search results related to the world cup of 2014, or search results related to an earlier world cup, are shown in the search results page of the search engine. However, these search results related to past world cups have not been time-sensitive, even if some of them have expired. For example, a web document that describes the result of a game in the game, rather than the final result of the game, has no reference value. When browsing the content of the related web document in the search result, the user may know that the content of the web document is invalid after reading the content of the web document, which causes a poor search experience for the user and may cause the loss of the user.

Disclosure of Invention

The application aims to provide a processing method and device of search results, an electronic device and a computer readable medium, which are used for solving the problem that in the prior art, a user needs to spend more energy and time to screen the search results, so that the user search experience is poor.

According to a first aspect of the embodiments of the present application, a method for processing search results 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, determining the aging characteristic data of the search result when predicting that part of the search results in the search results corresponding to the search information do not have aging; and when determining that the search result has no timeliness based on the timeliness characteristic data of the search result, executing processing operation on the search result.

According to a second aspect of the embodiments of the present application, there is provided a processing apparatus for search results. The device comprises: the first determining module is used for determining the time efficiency characteristic data of the search information input by the user through the search engine; the second determining module is used for determining the aging characteristic data of the search result when predicting that part of the search results in the search results corresponding to the search information does not have aging performance 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 determining that the search result does not have timeliness based on the timeliness characteristic data of the search result.

According to a third aspect of embodiments of the present application, there is provided an electronic apparatus, 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 the method for processing search results as described in the first aspect of the embodiments above.

According to a fourth aspect of embodiments of the present application, there is provided a computer-readable medium, on which a computer program is stored, which when executed by a processor, implements the processing method of search results as described in the first aspect of the embodiments above.

According to the technical scheme provided by the embodiment of the application, the aging characteristic data of the search information input by the user through the search engine is determined, based on the aging characteristic data of the search information, when the fact that part of the search results corresponding to the search information do not have the aging property is predicted, the aging characteristic data of the search result is determined, and based on the aging characteristic data of the search result, when the fact that the search results do not have the aging property is determined, processing operation is executed on the search results. In addition, when the search result is determined not to have timeliness based on the timeliness characteristic data of the search result, the processing operation is executed on the search result, the user can be prevented from spending more energy and time to screen the search result, and therefore the search experience of the user can be improved.

Drawings

Other features, objects and advantages of the present application will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings in which:

FIG. 1 is a flowchart illustrating a method for processing search results according to an embodiment of the present disclosure;

FIG. 2 is a flowchart illustrating a processing method of search results according to a second embodiment of the present application;

FIG. 3 is a flowchart illustrating a processing method of search results according to a second embodiment of the present application;

fig. 4 is a schematic structural diagram of a processing apparatus for search results in the third embodiment of the present application;

FIG. 5 is a schematic structural diagram of a device for processing search results according to a 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 according to a sixth embodiment of the present application.

Detailed Description

The present application will be described in further detail with reference to the following drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant invention and not restrictive of the invention. It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings.

It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.

In the prior art, as time goes by, a part of search results in search results corresponding to search information may be expired and invalidated, and content of related web documents in the part of search results cannot provide useful information for a user, so that the user spends more energy and time to screen the search results, and poor search experience is brought to the user. Aiming at the problem that in the prior art, a user needs to spend more energy and time to screen a search result, so that the user search experience is poor, the following solution is provided.

Referring to fig. 1, a flowchart illustrating steps of a method for processing search results according to a first embodiment of the present application is shown.

Specifically, the processing method of the search result of the embodiment includes the following steps:

in step S101, the aging characteristic data of the search information input by the user through the search engine is determined.

In the embodiment of the present application, the search information input by the user through the search engine may include search keywords, search phrases, and the like, wherein the search keywords may include, but are not limited to, chinese words, english words, pictures, and the like. The aging characteristic data of the search information can comprise vectors or numerical values and the like which characterize the aging characteristics of the search information. The aging characteristic of the search information can be simply understood as whether an aging requirement is provided for the search result corresponding to the search information, for example, when the user searches for 'world cup' through the search engine during the world cup of 2018, the user more expects that the search result page of the search engine shows the search result related to the world cup of 2018, and less expects that the search result page of the search engine shows the search result related to the world cup of 2014, or the search result related to the earlier world cup. For another example, when a user searches for "trigonometric functions" through a search engine, there is no time-efficient requirement for the search results presented in the search results page of the search engine, and the use and principles of trigonometric functions do not change significantly over time. It should be understood that the above description is only exemplary, and the embodiments of the present application are not limited in this respect.

In a specific example, the age characteristic data of the search information includes at least one of: the search information comprises a first vector used for representing the content of the search information, a second vector used for representing the name of an entity included in the search information, and a third vector used for representing the name of a website to which the search result belongs. Wherein the entity name comprises a character name, a place name, an organization name, a song name, a movie name, a medicine name, a novel name, a literary work name and the like. Therefore, aging characteristics of the search information can be characterized by using aging characteristic parameters with different dimensions. It should be understood that the above description is only exemplary, and the embodiments of the present application are not limited in this respect.

In some optional embodiments, when determining the aging characteristic data of the search information input by the user through the search engine, segmenting the content of the search information, and determining at least one word segmentation of the search information; generating a corresponding word vector for each of the at least one participle; determining the first vector for characterizing content of the search information based on a word vector of each of the at least one word segmentation. Thereby, the vector for characterizing the content of the search information included in the time-dependent feature data of the search information can be accurately determined. It is understood that any embodiment of determining the aging characteristic data of the search information input by the user through the search engine may be applied to this embodiment, and this is not limited in this embodiment of the present application.

In a specific example, when a corresponding word vector is generated for each participle in the at least one participle, each participle in the at least one participle is respectively input into a word2vec model which is trained, and a corresponding word vector is generated for each participle in the at least one participle through the word2vec model. When determining the first vector for characterizing the content of the search information based on a word vector of each of the at least one participle, adding the word vectors of each of the at least one participle to obtain a sum of the word vectors; and determining a corresponding average value vector based on the sum of the word vectors and the number of the at least one participle, and taking the determined average value vector as the first vector for representing the content of the search information. It should be understood that the above description is only exemplary, and the embodiments of the present application are not limited in this respect.

In some optional embodiments, when determining the aging characteristic data of the search information input by the user through the search engine, performing semantic analysis on the content of the search information to determine an entity name included in the search information; determining the second vector for characterizing the entity name based on the type of the entity name. Thereby, the vector for characterizing the entity name included in the aging characteristic data of the search information can be accurately determined. It is understood that any embodiment of determining the aging characteristic data of the search information input by the user through the search engine may be applied to this embodiment, and this is not limited in this embodiment of the present application.

In a specific example, when the content of the search information is subjected to semantic analysis to determine the entity name included in the search information, the content of the search information is subjected to semantic analysis 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, a vector corresponding to the type of the entity name is searched in pre-configured vectors stored in a database based on the type of the entity name, and the vector corresponding to the type of the entity name is determined to be the second vector used for representing the entity name. Before searching a vector corresponding to the type of the entity name in a pre-configured vector stored in a database, configuring the vector corresponding to the type of the entity name based on the type of the entity name; and storing the vectors configured for the type of entity name in the corresponding database. It should be understood that the above description is only exemplary, and the embodiments of the present application are not limited in this respect.

In some optional embodiments, when determining the aging characteristic data of the search information input by the user through the search engine, analyzing the search result corresponding to the search information, and determining the name of the website to which the search result belongs; determining the third vector for characterizing the name of the website based on the name of the website to which the search result belongs. Therefore, the vector which is included in the aging characteristic data of the search information and used for representing the name of the website to which the search result belongs can be accurately determined. It is understood that any embodiment of determining the aging characteristic data of the search information input by the user through the search engine may be applied to this embodiment, and this is not limited in this embodiment of the present application.

In a specific example, when a search result corresponding to the search information is analyzed, a related field of a link address in the search result corresponding to the search information is analyzed, and a name of a website to which the search result belongs is determined. When the third vector used for representing the name of the website is determined based on the name of the website to which the search result belongs, the vector corresponding to the name of the website is searched in pre-configured vectors stored in a database based on the name of the website, and the vector corresponding to the name of the website is determined to be the third vector used for representing the name of the website. Before searching a vector corresponding to the name of the website in a pre-configured vector stored in a database, configuring the vector corresponding to the name of the website based on the name of the website; and storing the vectors configured for the names of the websites in the corresponding database. In addition, the reason why the aging characteristic data of the search information includes the third vector for representing the name of the website to which the search result belongs is that 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 search result side, for example, when the search information is a notice of a public affair, the category to which the search information belongs can be determined as the examination category according to the fact that the search result corresponding to the search information is mainly the examination-type website, and the aging requirement is provided for the corresponding search result. If a link or announcement for a year 2015 official entry is included in the search results, such search results may have expired for current search information. It should be understood that the above description is only exemplary, and the embodiments of the present application are not limited in this respect.

In step S102, based on the aging characteristic data of the search information, if it is predicted that part of the search results corresponding to the search information does not have aging performance, the aging characteristic data of the search results is determined.

In some optional embodiments, before determining the age characteristic data of the search result, the method further comprises: determining a numerical value for representing the aging characteristic of the search information based on the aging characteristic data of the search information; and if the numerical value is determined to be larger than or equal to the preset threshold value, predicting that part of the search results in the search results corresponding to the search information do not have timeliness. The preset threshold may be set by a person skilled in the art according to actual needs, and this is not limited in this embodiment of the present application. Therefore, partial search results in the search results corresponding to the search information can be accurately predicted to have no timeliness. It should be understood that the above description is only exemplary, and the embodiments of the present application are not limited in this respect.

In a specific example, when determining a numerical value for characterizing aging characteristics of the search information based on aging characteristic data of the search information, determining a fourth vector for characterizing aging characteristics of the search information based on the first vector, the second vector, and the third vector; and determining a numerical value of the aging characteristic for representing the search information based on the fourth vector. When a fourth vector used for representing the aging characteristics of the search information is determined based on the first vector, the second vector and the third vector, multiplying the first vector by a weight value corresponding to the first vector to obtain the multiplied first vector; multiplying the second vector by 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 splicing operation on the multiplied first vector, the multiplied second vector and the multiplied third vector to determine a fourth vector for representing the aging characteristics 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 history search information labeled manually. Calculating a modulus value of the fourth vector when determining a numerical value of an aging characteristic for characterizing 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. After a numerical value used for representing the timeliness characteristics of the search information is determined, if the numerical value is determined to be smaller than a preset threshold value, the timeliness of the search result corresponding to the search information is predicted. It should be understood that the above description is only exemplary, and the embodiments of the present application are not limited in this respect.

In the embodiment of the present application, the aging characteristic data of the search result may include a vector or a numerical value characterizing the aging characteristic of the search result, and the like. The age characteristic of the search results may be simply understood as the temporal characteristics of the search results, e.g., when a user searches for "world cup" by a search engine during the 2018 world cup, the search results page of the search engine will show not only the search results related to the 2018 world cup, but also the search results related to the 2014 world cup, or the search results related to the earlier world cup. It should be understood that the above description is only exemplary, and the embodiments of the present application are not limited in this respect.

In a specific example, the age characteristic data of the search result includes at least one of: the system comprises a fifth vector used for representing the position information of the webpage documents in the search results in the website, a sixth vector used for representing the content of the webpage documents in the search results, a seventh vector used for representing the publishing time of the webpage documents in the search results, and an eighth vector used for representing the updating time of the webpage documents in the search results. The location information of the web page document in the search result in the website can be understood as the navigation information of the web page document in the website, for example, the general form of the navigation information may be "home page > news scroll news", etc. Therefore, aging characteristics of the search results can be characterized by using aging characteristic parameters with different dimensions. It should be understood that the above description is only exemplary, and the embodiments of the present application are not limited in this respect.

In some optional embodiments, when determining the aging characteristic data of the search result, acquiring the position information of the webpage document in the search result in a website; determining the fifth vector characterizing the location information based on the location information. Therefore, the vector which is included in the aging characteristic data of the search result and used for representing the position information of the webpage document in the search result in the website can be accurately determined. It is understood that any embodiment of determining the aging characteristic data of the search result may be applied to this embodiment, and this is not limited in this embodiment.

In a specific example, when the location information of the web page document in the search result in the website is obtained, the location information of the web page document in the website is extracted in the navigation part of the web page document by a web crawler. When the fifth vector used for representing the position information is determined based on the position information, the vector corresponding to the position information is searched in the preconfigured vectors stored in a database based on the position information of the webpage documents in the search result in the website, and the vector corresponding to the position information is determined 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 a webpage document in a website in a search result; and storing the vector configured for the position information into a corresponding database. In addition, the aging characteristic data of the search result includes a fifth vector for characterizing the location information of the web document in the search result in the website, because the location information of the web document in the search result in the website can reflect the type of the web document, for example, the type of the web document may be education type, recruitment type, and rental house type. Therefore, on the basis of the type information of the webpage document and in combination with the publishing time of the webpage document, whether the corresponding search result is expired or not can be determined. It should be understood that the above description is only exemplary, and the embodiments of the present application are not limited in this respect.

In some optional embodiments, when determining the aging characteristic data of the search result, segmenting the content of the web page document in the search result, and determining at least one word segmentation of the web page document; generating a corresponding word vector for each of the at least one participle; determining the sixth vector for characterizing content of the web document based on a word vector for each of the at least one word segmentation. Therefore, the vector which is included in the aging characteristic data of the search result and used for representing the content of the webpage document in the search result can be accurately determined. It is understood that any embodiment of determining the aging characteristic data of the search result may be applied to this embodiment, and this is not limited in this embodiment.

In a specific example, when a corresponding word vector is generated for each participle in the at least one participle, each participle in the at least one participle is respectively input into a word2vec model which is trained, and a corresponding word vector is generated for each participle in the at least one participle through the word2vec model. When determining the sixth vector for characterizing the content of the web document based on the word vector of each of the at least one word, adding the word vectors of each of the at least one word to obtain a sum of the word vectors; and determining a corresponding average value vector based on the sum of the word vectors and the number of the at least one participle, and taking the determined average value vector as the sixth vector for representing the content of the webpage document. It should be understood that the above description is only exemplary, and the embodiments of the present application are not limited in this respect.

In some optional embodiments, in determining the aging characteristic data of the search result, the publishing time of the webpage document in the search result is extracted; determining a time difference between the publication time of the web document and the search time of the user; determining the seventh vector characterizing the release time based on the time difference. Therefore, the vector used for representing the publishing time of the webpage document in the search result and included by the aging characteristic data of the search result can be accurately determined. It is understood that any embodiment of determining the aging characteristic data of the search result may be applied to this embodiment, and this is not limited in this embodiment.

In a specific example, when the publishing time of the web document in the search result is extracted, the publishing time of the web document in the search result is extracted by a web crawler. And when the time difference between the release time of the webpage document and the search time of the user is determined, subtracting the release time of the webpage document from the search time of the user to obtain the time difference. When the seventh vector for representing the release time is determined based on the time difference, taking the time difference as one dimension of the vector to generate a single-dimensional vector; determining the single-dimensional vector as the seventh vector for characterizing the release time. It should be understood that the above description is only exemplary, and the embodiments of the present application are not limited in this respect.

In some optional embodiments, in determining the aging characteristic data of the search result, detecting, by a web crawler, an update time of a web document in the search result; determining a time difference between an update time of the web document and a search time of the user; determining the eighth vector characterizing the update time based on the time difference. Therefore, the vector which is included by the aging characteristic data of the search result and used for representing the update time of the webpage document in the search result can be accurately determined. It is understood that any embodiment of determining the aging characteristic data of the search result may be applied to this embodiment, and this is not limited in this embodiment.

In a specific example, when the time difference between the update time of the web document and the search time of the user is determined, the update time of the web document is subtracted from the search time of the user to obtain the time difference. When the eighth vector for representing the updating time is determined based on the time difference, taking the time difference as one dimension of the vector to generate a single-dimensional vector; determining the single-dimensional vector as the eighth vector for characterizing the update time. It should be understood that the above description is only exemplary, and the embodiments of the present application are not limited in this respect.

In step S103, when it is determined that the search result does not have timeliness based on the timeliness feature data of the search result, a processing operation is performed on the search result.

In some optional embodiments, before performing the processing operation on the search results, the method further comprises: determining a numerical value of the aging characteristic used for representing the search result based on the aging characteristic data of the search result; and if the numerical value is determined to be larger than or equal to the 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, and this is not limited in this embodiment of the present application. Therefore, the fact that the search result corresponding to the search information is not time-efficient can be accurately determined. It should be understood that the above description is only exemplary, and the embodiments of the present application are not limited in this respect.

In a specific example, when determining the numerical value of the aging characteristic used for representing the search result based on the aging characteristic data of the search result, determining a ninth vector used for representing the aging characteristic of the search result based on the fifth vector, the sixth vector, the seventh vector and the eighth vector; and determining a numerical value of the aging characteristic for characterizing the search result based on the ninth vector. When a ninth vector for representing the aging characteristics 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 splicing 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 representing the aging characteristics 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 a history search result labeled manually. Calculating a modulus value of the ninth vector when determining a numerical value of an aging characteristic for characterizing the search result based on the ninth vector; and determining the modulus value of the ninth vector as a numerical value for representing the aging characteristic of the search result. After determining a value of an aging characteristic for characterizing the search result, if the value is determined to be smaller than a preset threshold, determining that the search result is aging. It should be understood that the above description is only exemplary, and the embodiments of the present application are not limited in this respect.

In some optional embodiments, in performing the processing operation on the search result, a deletion operation is performed on the search result such that the search result is not shown in a current search results page of the search engine. Therefore, invalid overdue search results can be deleted, so that the search results within the validity period are displayed in the current search result page of the search engine, the user is prevented from spending more energy and time to screen the search results, and the search experience of the user is improved. It should be understood that the above description is only exemplary, and the embodiments of the present application are not limited in this respect.

According to the processing method of the search result, the aging characteristic data of the search information input by the user through the search engine is determined, based on the aging characteristic data of the search information, when the fact that part of the search results corresponding to the search information do not have aging is predicted, the aging characteristic data of the search result is determined, and based on the aging characteristic data of the search result, when the fact that the search results do not have aging is determined, processing operation is executed on the search result. In addition, when the search result is determined not to have timeliness based on the timeliness characteristic data of the search result, the processing operation is executed on the search result, the user can be prevented from spending more energy and time to screen the search result, and therefore the search experience of the user can be improved.

The processing method of the search result of the present embodiment may be executed by any suitable device with data processing capability, including but not limited to: cameras, terminals, mobile terminals, PCs, servers, in-vehicle devices, entertainment devices, advertising devices, Personal Digital Assistants (PDAs), tablet computers, notebook computers, handheld game consoles, smart glasses, smart watches, wearable devices, virtual display devices or display enhancement devices (such as Google Glass, Oculus rise, Hololens, Gear VR), and the like.

Referring to fig. 2, a flowchart illustrating steps of a method for processing search results according to a second embodiment of the present application is shown.

in step S201, the aging characteristic data of the search information input by the user through the search engine is determined.

Since this step S201 is similar to the step S101, it is not described herein again.

In step S202, if it is predicted that part of the search results corresponding to the search information does not have timeliness based on the timeliness feature data of the search information, the timeliness feature data of the search result is determined.

Since the step S202 is similar to the step S102, it is not repeated herein.

In step S203, when it is determined that the search result does not have timeliness based on the timeliness feature data of the search result, adjusting the ranking information of the search result in the current search result page of the search engine.

In the embodiment of the application, when the search result is determined not to have timeliness, the ranking information of the search result in the current search result page of the search engine is adjusted, so that the search result without timeliness is displayed on the last page of the current search result page of the search engine and serves as an alternative search result browsed by a user in the search result page. Therefore, the situation that the user finds or clicks the overdue invalid search result on the search result page can be reduced, and the search experience of the user is further improved. In addition, the mistaken deletion of the expired and invalid search results can be avoided. It should be understood that the above description is only exemplary, and the embodiments of the present application are not limited in this respect.

In one specific example, when a user searches for "world cups," search results related to the world cups that have recently occurred in 2018 that are newer are provided, search results related to the past world cups are eliminated, or ranked lower. And when the user searches the 'trigonometric function', the deletion operation or the reordering operation is not performed on the search result. It should be understood that the above description is only exemplary, and the embodiments of the present application are not limited in this respect.

In a specific example, as shown in fig. 3, when the processing scheme of the search result provided by the embodiment of the present application is implemented, the server first performs expiration identification on the user query, and predicts whether the search result corresponding to the user query is time-efficient. Then, the search results relevant to the user query are ranked, and the ranking results of the search results relevant to the user query are determined. And when the partial search results in the search results corresponding to the user query are predicted not to have timeliness, performing overdue identification on each search result relevant to the user query. If the fact that a certain search result related to the user query does not have timeliness is determined, the sequence of the search result is adjusted, so that the search result is arranged at the tail end of a search result page, the situation 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 should be understood that the above description is only exemplary, and the embodiments of the present application are not limited in this respect.

According to the processing method of the search result, the aging characteristic data of the search information input by the user through the search engine is determined, based on the aging characteristic data of the search information, when the fact that part of the search results corresponding to the search information do not have aging is predicted, the aging characteristic data of the search result is determined, based on the aging characteristic data of the search result, when the fact that the search results do not have aging is determined, the ranking information of the search results in the current search result page of the search engine is adjusted. In addition, when the search result is determined to have no timeliness based on the timeliness characteristic data of the search result, the ranking information of the search result in the current search result page of the search engine is adjusted, the situation that the user clicks the search result without timeliness can be reduced, and therefore the search experience of the user can be improved.

Referring to fig. 4, a schematic structural diagram of a processing apparatus for search results in the third embodiment of the present application is shown.

The search result processing device of the embodiment comprises: a first determining module 301, configured to determine time-efficiency feature data of search information input by a user through a search engine; a second determining module 302, configured to determine aging characteristic data of the search result when it is predicted that a part of search results in the search results corresponding to the search information does not have aging performance based on the aging characteristic data of the search information; and the processing module 303 is configured to, based on the aging characteristic data of the search result, execute a processing operation on the search result when it is determined that the search result does not have aging performance.

The processing apparatus for search results of this embodiment is used to implement the processing method for corresponding search results in the foregoing multiple method embodiments, and has the beneficial effects of the corresponding method embodiments, and details are not repeated here.

Referring to fig. 5, a schematic structural diagram of a processing apparatus for search results in the fourth embodiment of the present application is shown.

The search result processing device of the embodiment comprises: a first determining module 401, configured to determine time-efficient feature data of search information input by a user through a search engine; a second determining module 404, configured to determine aging characteristic data of the search result when it is predicted that a part of search results in the search results corresponding to the search information does not have aging performance based on the aging characteristic data of the search information; and the processing module 407 is configured to, based on the aging characteristic data of the search result, perform a processing operation on the search result when it is determined that the search result does not have aging performance.

Optionally, the age characteristic data of the search information includes at least one of: the search information comprises a first vector used for representing the content of the search information, a second vector used for representing the name of an entity included in the search information, and a third vector used for representing the name of a 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 word segmentation of the search information; generating a corresponding word vector for each of the at least one participle; determining the first vector for characterizing content of the search information based on a word vector of each of the at least one word segmentation.

Optionally, the first determining module 401 is specifically configured to: performing semantic analysis on the content of the search information, and determining an entity name included in the search information; determining the second vector for characterizing the entity name based on the type of the entity name.

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; determining the third vector for characterizing 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 a predicting module 403, configured to predict that a part of search results in the search results corresponding to the search information does not have timeliness if it is determined that the numerical value is greater than or equal to the preset threshold.

Optionally, the third determining module 402 is specifically configured to: determining a fourth vector for characterizing aging characteristics of the search information based on the first vector, the second vector, and the third vector; and determining a numerical value of the aging characteristic for representing the search information based on the fourth vector.

Optionally, the age characteristic data of the search result comprises at least one of: the system comprises a fifth vector used for representing the position information of the webpage documents in the search results in the website, a sixth vector used for representing the content of the webpage documents in the search results, a seventh vector used for representing the publishing time of the webpage documents in the search results, and an eighth vector used for representing the updating time of the webpage 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; determining the fifth vector characterizing the location information based on 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 word segmentation of the webpage document; generating a corresponding word vector for each of the at least one participle; determining the sixth vector for characterizing content of the web document based on a word vector for each of the at least one word segmentation.

Optionally, the second determining module 404 is specifically configured to: extracting the publishing time of the webpage document in the search result; determining a time difference between the publication time of the web document and the search time of the user; determining the seventh vector characterizing the release time based on the time difference.

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 an update time of the web document and a search time of the user; determining the eighth vector characterizing the update time based on the time difference.

Optionally, before the processing module 407, the apparatus further includes: a fourth determining module 405, configured to determine, based on the aging characteristic data of the search result, a numerical value of an aging characteristic used for characterizing the search result; a fifth determining module 406, configured to determine that the search result is not time-efficient if it is determined that the value is greater than or equal to a preset threshold.

Optionally, the fourth determining module 405 is specifically configured to: determining a ninth vector for characterizing aging characteristics of the search results based on the fifth vector, the sixth vector, the seventh vector, and the eighth vector; and determining a numerical value of the aging characteristic for characterizing the search result based on the ninth vector.

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 deletion operation on the search result so that the search result is not shown in a current search result page of the search engine.

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;

a computer-readable medium 502, which may be configured to store one or more programs,

when the one or more programs are executed by the one or more processors, the one or more processors implement the method for processing search results according to the first embodiment or the second embodiment.

Fig. 7 is a hardware structure of an electronic device according to 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;

the processor 601 may be specifically 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, determining the aging characteristic data of the search result when predicting that part of the search results in the search results corresponding to the search information do not have aging; and when determining that the search result has no timeliness based on the timeliness characteristic data of the search result, executing processing operation on the search result.

The Processor 601 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; but may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components. The various methods, steps, and logic blocks disclosed 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 may be, but is not limited to, a Random Access Memory (RAM), a Read-Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like.

In particular, according to an embodiment of the present disclosure, the processes described above with reference to the 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 illustrated by the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication section, and/or installed from a removable medium. The computer program, when executed by a Central Processing Unit (CPU), performs the above-described functions defined in the method of the present application. It should be noted that the computer readable medium described herein can 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 any combination 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 storage media (RAM), a read-only storage media (ROM), an erasable programmable read-only storage media (EPROM or flash memory), an optical fiber, a portable compact disc read-only storage media (CD-ROM), an optical storage media piece, a magnetic storage media piece, or any suitable combination of the foregoing. In the present application, 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 this application, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. 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 for the present application may be written in any combination of 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 a remote computer, the remote computer may operate over any of a variety of networks: including a Local Area Network (LAN) or a Wide Area Network (WAN) -to the user's computer, or alternatively, to an external computer (e.g., through the internet using an internet service provider).

The flowchart 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). In the above embodiments, specific precedence relationships are provided, but these precedence relationships are only exemplary, and in particular implementations, the steps may be fewer, more, or the execution order may be modified. 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 described in the embodiments of the present application may be implemented by software or hardware. The described modules may also be provided in a processor, which may be described as: a processor includes a first determination module, a second determination module, and a processing module. The names of these modules do not constitute a limitation to the module itself in some cases, and for example, the first determination module may also be described as a "module that determines the aging 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 on which a computer program is stored, which when executed by a processor, implements the processing method of the search result as described in the above first or second embodiment.

As another aspect, the present application also provides a computer-readable medium, which may be contained in the apparatus described in the above embodiments; or may be present separately and not assembled 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, determining the aging characteristic data of the search result when predicting that part of the search results in the search results corresponding to the search information do not have aging; and when determining that the search result has no timeliness based on the timeliness characteristic data of the search result, executing processing operation on the search result.

The expressions "first", "second", "said first" or "said second" used in various embodiments of the present disclosure may modify various components regardless of order and/or importance, but these expressions do not limit the respective components. The above description is only configured for the purpose of distinguishing elements from other elements. For example, the first user equipment and the second user equipment represent different user equipment, although both are user equipment. 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 "operably or communicatively coupled" or "connected" (operably 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 element is directly connected to the other element or the element is indirectly connected to the other element via yet another element (e.g., a third element). In contrast, it is 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), no element (e.g., a third element) is interposed therebetween.

The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention herein disclosed is not limited to the particular combination of features described above, but also encompasses other arrangements formed by any combination of the above features or their equivalents without departing from the spirit of the invention. For example, the above features may be replaced with (but not limited to) features having similar functions disclosed in the present application.

Claims

1. A method for processing search results, the method comprising:

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, determining the aging characteristic data of the search result when predicting that part of the search results in the search results corresponding to the search information do not have aging;

and when determining that the search result has no timeliness based on the timeliness characteristic data of the search result, executing processing operation on the search result.

2. The method of claim 1, wherein the age characteristic data of the search information comprises at least one of:

the search information comprises a first vector used for representing the content of the search information, a second vector used for representing the name of an entity included in the search information, and a third vector used for representing the name of a website to which the search result belongs.

3. The method of claim 2, wherein determining aging characteristic data of search information input by a user through a search engine comprises:

segmenting the content of the search information, and determining at least one word segmentation of the search information;

generating a corresponding word vector for each of the at least one participle;

determining the first vector for characterizing content of the search information based on a word vector of each of the at least one word segmentation.

4. The method of claim 2, wherein determining aging characteristic data of search information input by a user through a search engine comprises:

performing semantic analysis on the content of the search information, and determining an entity name included in the search information;

determining the second vector for characterizing the entity name based on the type of the entity name.

5. The method of claim 2, wherein determining aging characteristic data of search information input by a user through 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;

determining the third vector for characterizing 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 determining the age characteristic data for the search result, the method further comprises:

determining a numerical value for representing the aging characteristic of the search information based on the aging characteristic data of the search information;

and if the numerical value is determined to be larger than or equal to the preset threshold value, predicting that part of the search results in the search results corresponding to the search information do not have timeliness.

7. The method of claim 6, wherein determining a value for characterizing aging characteristics of the search information based on aging characteristic data of the search information comprises:

determining a fourth vector for characterizing aging characteristics of the search information based on the first vector, the second vector, and the third vector;

and determining a numerical value of the aging characteristic for representing the search information based on the fourth vector.

8. The method of claim 1, wherein the age characteristic data of the search results comprises at least one of:

the system comprises a fifth vector used for representing the position information of the webpage documents in the search results in the website, a sixth vector used for representing the content of the webpage documents in the search results, a seventh vector used for representing the publishing time of the webpage documents in the search results, and an eighth vector used for representing the updating time of the webpage documents in the search results.

9. The method of claim 8, wherein determining aging characteristic data for the search results comprises:

acquiring the position information of the webpage document in the search result in a website;

determining the fifth vector characterizing the location information based on the location information.

10. The method of claim 8, wherein determining aging characteristic data for the search results comprises:

segmenting the content of the webpage document in the search result, and determining at least one word segmentation of the webpage document;

generating a corresponding word vector for each of the at least one participle;

determining the sixth vector for characterizing content of the web document based on a word vector for each of the at least one word segmentation.

11. The method of claim 8, wherein determining aging characteristic data for the search results comprises:

extracting the publishing time of the webpage document in the search result;

determining a time difference between the publication time of the web document and the search time of the user;

determining the seventh vector characterizing the release time based on the time difference.

12. The method of claim 8, wherein determining 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 an update time of the web document and a search time of the user;

determining the eighth vector characterizing the update time based on the time difference.

13. The method of claim 8, wherein prior to performing the processing operation on the search results, the method further comprises:

determining a numerical value of the aging characteristic used for representing the search result based on the aging characteristic data of the search result;

and if the numerical value is determined to be larger than or equal to the preset threshold value, determining that the search result is not time-efficient.

14. The method of claim 13, wherein 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 aging characteristics of the search results based on the fifth vector, the sixth vector, the seventh vector, and the eighth vector;

and determining a numerical value of the aging characteristic for characterizing the search result based on the ninth vector.

15. The method of any of claims 1-14, wherein the performing a processing operation on the search result comprises:

adjusting the ranking information of the search results in the current search result page of the search engine; or

And executing a deletion operation on the search result so that the search result is not shown in a current search result page of the search engine.

16. An apparatus for processing search results, the apparatus comprising:

the first determining module is used for determining the time efficiency characteristic data of the search information input by the user through the search engine;

the second determining module is used for determining the aging characteristic data of the search result when predicting that part of the search results in the search results corresponding to the search information does not have aging performance 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 determining that the search result does not have timeliness based on the timeliness characteristic data of the search result.

17. The apparatus of claim 16, wherein the age characteristic data of the search information comprises at least one of:

18. The apparatus of claim 17, wherein the first determining module is specifically configured to:

generating a corresponding word vector for each of the at least one participle;

19. The apparatus of claim 17, wherein the first determining module is specifically configured to:

20. The apparatus of claim 17, wherein the first determining module is specifically configured to:

21. The apparatus of claim 17, wherein the second determining module is preceded by:

the third determining module is used for determining a numerical value for representing the aging characteristic of the search information based on the aging characteristic data of the search information;

and the predicting module is used for predicting that part of the search results corresponding to the search information does not have timeliness if the numerical value is determined to be larger than or equal to the preset threshold value.

22. The apparatus of claim 21, wherein the third determining module is specifically configured to:

23. The apparatus of claim 16, wherein the age characteristic data of the search results comprises at least one of:

24. The apparatus of claim 23, wherein the second determining module is specifically configured to:

25. The apparatus of claim 23, wherein the second determining module is specifically configured to:

generating a corresponding word vector for each of the at least one participle;

26. The apparatus of claim 23, wherein the second determining module is specifically configured to:

extracting the publishing time of the webpage document in the search result;

27. The apparatus of claim 23, wherein the second determining module is specifically configured to:

28. The apparatus of claim 23, wherein the processing module is preceded by:

the fourth determination module is used for determining a numerical value of the aging characteristic used for representing the search result based on the aging characteristic data of the search result;

and the fifth determination module is used for determining that the search result is not time-efficient if the numerical value is determined to be greater than or equal to the preset threshold value.

29. The apparatus of claim 28, wherein the fourth determining module is specifically configured to:

30. The method according to any of claims 16 to 29, wherein the processing module is specifically configured to:

31. An electronic device, comprising:

one or more processors;

a computer readable medium configured to store one or more programs,

when executed by the one or more processors, cause the one or more processors to implement a method of processing search results as recited in any of claims 1-15.

32. A computer-readable medium, on which a computer program is stored which, when being executed by a processor, carries out the method of processing search results according to any one of claims 1 to 15.