CN116821278A

CN116821278A - Display method and device of search information, medium and electronic equipment

Info

Publication number: CN116821278A
Application number: CN202310595051.2A
Authority: CN
Inventors: 张思宇; 彭睿棋
Original assignee: Beijing Zitiao Network Technology Co Ltd
Current assignee: Beijing Zitiao Network Technology Co Ltd
Priority date: 2023-05-24
Filing date: 2023-05-24
Publication date: 2023-09-29

Abstract

The disclosure relates to a display method, a device, a medium and electronic equipment for searching information, wherein the method comprises the following steps: receiving a push message corresponding to a target application, wherein the push message comprises a display text corresponding to a target search word determined from a candidate search word set, the target search word is used for searching in the target application to obtain a search result, the display text is generated according to a text generation mode corresponding to the type to which the target search word belongs, and the display text is used for representing description information of the target search word; and displaying the display text in the push message. Therefore, the search word recommendation can be realized based on the push message, so that a search inlet is expanded from the inside of the target application to the outside of the target application, the problem that a user can initiate search and acquire a search result only after opening the target application in the related technology is solved, the search path can be effectively shortened, and the use requirement of the user can be better met.

Description

Display method and device of search information, medium and electronic equipment

Technical Field

The disclosure relates to the technical field of computers, and in particular relates to a display method, a device, a medium and electronic equipment for searching information.

Background

Currently, when a user needs to perform a search, the user is generally required to start a corresponding application, so that a search word can be input in a search page of the application to realize a search process. However, in the above process, the search path for searching by the user is complex, and the search efficiency is low.

Disclosure of Invention

This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.

In a first aspect, the present disclosure provides a method for displaying search information, the method comprising:

receiving a push message corresponding to a target application, wherein the push message comprises a display text corresponding to a target search word determined from a candidate search word set, the target search word is used for searching in the target application to obtain a search result, the display text is generated according to a text generation mode corresponding to the type to which the target search word belongs, and the display text is used for representing description information of the target search word;

And displaying the display text in the push message.

In a second aspect, the present disclosure provides a display device for searching information, the device comprising:

the receiving module is used for receiving a push message corresponding to a target application, wherein the push message comprises a display text corresponding to a target search word determined from a candidate search word set, the target search word is used for searching in the target application to obtain a search result, the display text is generated according to a text generation mode corresponding to the type to which the target search word belongs, and the display text is used for representing description information of the target search word;

and the first display module is used for displaying the display text in the push message.

In a third aspect, the present disclosure provides a computer readable medium having stored thereon a computer program which when executed by a processing device performs the steps of the method of the first aspect.

In a fourth aspect, the present disclosure provides an electronic device comprising:

a storage device having a computer program stored thereon;

processing means for executing said computer program in said storage means to carry out the steps of the method of the first aspect.

According to the technical scheme, the target search word used for recommendation can be determined based on the candidate search word, the display text corresponding to the target search word is generated based on the type of the target search word, and therefore the matching degree between the display text corresponding to the target search word and the target search word can be improved. In the method and the device, the recommendation of the search term can be realized based on the push message, so that a search inlet is expanded from the inside of the target application to the outside of the target application, the problem that a user can initiate search and acquire a search result only after opening the target application in the related technology is solved, the search path can be effectively shortened, and the requirement of the user for acquiring high-value search content can be better met. And the search words which fit the interests of the user can be touched to the user in an end-to-end pushing manner, so that the search words in the target application can be touched to the end-to-end user, push messages with higher value and interest can be provided for the user to a certain extent, and the interests of the user for opening the target application can be improved to a certain extent, so that the activity of the target application is improved.

Additional features and advantages of the present disclosure will be set forth in the detailed description which follows.

Drawings

The above and other features, advantages, and aspects of embodiments of the present disclosure will become more apparent by reference to the following detailed description when taken in conjunction with the accompanying drawings. The same or similar reference numbers will be used throughout the drawings to refer to the same or like elements. It should be understood that the figures are schematic and that elements and components are not necessarily drawn to scale. In the drawings:

FIG. 1 is a flow chart of a method of displaying search information provided in accordance with one embodiment of the present disclosure;

FIGS. 2a and 2b are schematic illustrations of push messages;

fig. 3 is a flowchart of a generation manner of a push message corresponding to a target application according to an embodiment of the present disclosure;

fig. 4a and fig. 4b are schematic diagrams of display manners of push messages corresponding to target search terms according to embodiments of the present disclosure.

FIG. 5 is a schematic illustration of a search results page provided in accordance with an embodiment of the present disclosure;

FIG. 6 is a block diagram of a display device of search information provided in accordance with one embodiment of the present disclosure;

fig. 7 shows a schematic diagram of an electronic device suitable for use in implementing embodiments of the present disclosure.

Detailed Description

Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure have been shown in the accompanying drawings, it is to be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but are provided to provide a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are for illustration purposes only and are not intended to limit the scope of the present disclosure.

It should be understood that the various steps recited in the method embodiments of the present disclosure may be performed in a different order and/or performed in parallel. Furthermore, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the present disclosure is not limited in this respect.

The term "including" and variations thereof as used herein are intended to be open-ended, i.e., including, but not limited to. The term "based on" is based at least in part on. The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments. Related definitions of other terms will be given in the description below.

It should be noted that the terms "first," "second," and the like in this disclosure are merely used to distinguish between different devices, modules, or units and are not used to define an order or interdependence of functions performed by the devices, modules, or units.

It should be noted that references to "one", "a plurality" and "a plurality" in this disclosure are intended to be illustrative rather than limiting, and those of ordinary skill in the art will appreciate that "one or more" is intended to be understood as "one or more" unless the context clearly indicates otherwise.

The names of messages or information interacted between the various devices in the embodiments of the present disclosure are for illustrative purposes only and are not intended to limit the scope of such messages or information.

It will be appreciated that prior to using the technical solutions disclosed in the embodiments of the present disclosure, the user should be informed and authorized of the type, usage range, usage scenario, etc. of the personal information related to the present disclosure in an appropriate manner according to the relevant legal regulations.

For example, in response to receiving an active request from a user, a prompt is sent to the user to explicitly prompt the user that the operation it is requesting to perform will require personal information to be obtained and used with the user. Thus, the user can autonomously select whether to provide personal information to software or hardware such as an electronic device, an application program, a server or a storage medium for executing the operation of the technical scheme of the present disclosure according to the prompt information.

As an alternative but non-limiting implementation, in response to receiving an active request from a user, the manner in which the prompt information is sent to the user may be, for example, a popup, in which the prompt information may be presented in a text manner. In addition, a selection control for the user to select to provide personal information to the electronic device in a 'consent' or 'disagreement' manner can be carried in the popup window.

It will be appreciated that the above-described notification and user authorization process is merely illustrative and not limiting of the implementations of the present disclosure, and that other ways of satisfying relevant legal regulations may be applied to the implementations of the present disclosure.

Meanwhile, it can be understood that the data (including but not limited to the data itself, the acquisition or the use of the data) related to the technical scheme should conform to the requirements of the corresponding laws and regulations and related regulations.

Fig. 1 is a flowchart of a method for displaying search information according to an embodiment of the present disclosure. As shown in fig. 1, the method may include:

in step 11, a push message corresponding to a target application is received, wherein the push message includes a display text corresponding to a target search word determined from a candidate search word set, the target search word is used for searching in the target application to obtain a search result, the display text is generated according to a text generation mode corresponding to a type to which the target search word belongs, and the display text is used for representing description information of the target search word. The display text is used for describing the target search word, for example, the target search word can be contained, or prompt information of the target search word, which is obtained by rewriting the target search word, so that a user can know what the target search word is based on the display text.

The push message may be generated by a server establishing communication connection with the target terminal, and the server may screen based on candidate search words in the candidate search word set to determine the target search word, so as to generate a corresponding push message.

In step 12, the display text in the push message is presented.

For example, the display text may be displayed at a display position of a push message of a target terminal corresponding to the target application. The display position of the push message of the target terminal may be the display position at the notification bar, as shown at a in fig. 2a, or the display position in the target terminal lock screen, as shown at B in fig. 2B. Which may be determined based on the specific settings of the user within the target terminal, as this disclosure is not limited.

In this embodiment, the search word may be displayed in the target terminal by means of a push message, that is, the search word is pushed and displayed outside the target application, that is, the recommended search word may be directly displayed on a screen-locking screen of the target terminal or on a top layer of a desktop or other applications.

Therefore, through the technical scheme, the target search word for recommendation can be determined based on the candidate search word, the display text corresponding to the target search word is generated based on the type of the target search word, and accordingly the matching degree between the display text corresponding to the target search word and the target search word can be improved. In the method and the device, the recommendation of the search term can be realized based on the push message, so that a search inlet is expanded from the inside of the target application to the outside of the target application, the problem that a user can initiate search and acquire a search result only after opening the target application in the related technology is solved, the search path can be effectively shortened, and the requirement of the user for acquiring high-value search content can be better met. And the search words which fit the interests of the user can be touched to the user in an end-to-end pushing manner, so that the search words in the target application can be touched to the end-to-end user, push messages with higher value and interest can be provided for the user to a certain extent, and the interests of the user for opening the target application can be improved to a certain extent, so that the activity of the target application is improved.

In a possible embodiment, the push message corresponding to the target application may be generated in the following manner, as shown in fig. 3:

in step 31, a candidate search word set corresponding to the target application is obtained, where the candidate search word set includes a plurality of candidate search words and types of the candidate search words.

Wherein the type of the candidate search term may be determined by the source of the candidate search term. For example, types corresponding to various sources can be preset, for example, the type of candidate search words with the source being a conventional event broadcasting type or an epidemic situation dynamic type can be set as a template type, and the content types of the types of candidate search words with other sources can be set so that the candidates can generate corresponding display texts by adopting different text generation modes according to different types.

Further, in step 32, candidate search terms are filtered to determine target search terms.

As an example, the target search term may be determined by pre-training a recommendation model to score the search candidate terms and filtering in order of the score from high to low. The recommendation model may be implemented using a recommendation model commonly used in the art, which is not limited in this disclosure.

As another example, the filtering the candidate search terms to determine the implementation of the target search term may include:

and filtering the candidate search words to obtain filtered search words.

For example, filtering may be performed by presetting a word blacklist, if the candidate search word is matched with a word in the word blacklist, deleting the candidate search word, and taking the candidate search word obtained after deletion as the filtering search word.

As another example, the filtering the candidate search terms to obtain an implementation of filtering the search terms may include:

and determining the similarity between the candidate search words and the search words pushed in the history period, and deleting the candidate search words with the similarity greater than a similarity threshold.

The search words pushed in the history period may be recorded, when determining whether the candidate search words are pushed, the similarity between each candidate search word and the search word that has been pushed may be calculated, if the similarity is greater than a similarity threshold, it indicates that the candidate search word is relatively similar to the search word that has been pushed, and in this case, the candidate search word may be deleted to avoid repeated similar recommendation.

Alternatively or additionally, the candidate search terms may be matched with the filter terms in the set of filter terms, and the matched candidate search terms may be deleted, where the matching process includes a term matching process and/or a semantic matching process.

The filtering words in the filtering word set can be preset, so that the candidate searching words and the filtering words can be subjected to matching processing, and the matching processing of the words can be performed in the process, namely, the candidate searching words are considered to be matched with the filtering words under the condition that the filtering words are contained in the candidate searching words; the semantic matching process can also be performed, namely, the candidate search word and the filtering word are subjected to semantic analysis, and if the similarity between the two semantics reaches a matching threshold, the candidate search word can be considered to be matched with the filtering word, so that the filtering accuracy and effectiveness can be further improved.

And then, taking the candidate search words in the candidate search word set obtained after deletion as the filtering search words.

Therefore, the candidate search words can be filtered more comprehensively and accurately, on one hand, the processing amount of the calculation data of the target search words determined later is reduced, and on the other hand, the accuracy and the effectiveness of filtering the search words can be ensured.

After determining the filtering search words, further, determining a recommendation score corresponding to each filtering search word based on a search word determining model, wherein the positive sample of training data corresponding to the search word determining model comprises pushing search words clicked by a user and input search words input by the user, and the recommendation score is used for representing the similarity degree between the filtering search words and the search words used by the user;

the target search term is determined from the filtered search terms based on the recommendation score.

In the related art, the user behavior in the push field is sparse, if the user needs to have an explicit click operation, the interest of the user can be obtained, that is, after a large number of messages are pushed to the user, the interest of the user is determined through the messages clicked by the user, and the proportion of the messages clicked by the user is very small.

Based on this, in the present disclosure, when training data of the search term determination model is acquired, while taking a pushed search term clicked by the user as a positive sample, an input search term when the user searches in the target application may also be acquired. If the user wants to search for recipes in the target application, he can open the target application and then input "the tomato stir-fried egg" so as to perform related searches. In this embodiment, the input search term input by the user may be used to represent the interest of the user, and in this embodiment, both the pushed search term clicked by the user and the input search term input by the user may be used as positive samples to train the search term determining model, so that the interest of the user may be fully learned during the training process of the search term determining model, and the accuracy of the determined target search term may be improved. The search term determining model may be implemented by adopting a structure of a recommendation model commonly used in the art, which is not described herein.

The method for determining the target search word from the filtered search words based on the recommendation score may be to use the filtered search word with the largest recommendation score as the target search word, or may use the first N in the ranking from the large to the small recommendation score as the target search word, which is not limited in the disclosure.

Therefore, through the technical scheme, on one hand, the candidate search words can be subjected to preliminary filtering, so that the accuracy and the effectiveness of the target search words are improved. On the other hand, by introducing the input search word of the user as a positive sample in the training data, the user interest can be more comprehensively learned by introducing the input search word reflecting the user interest, the training of the search word determining model is assisted, the training efficiency of the search word determining model is improved, and meanwhile, the accuracy of the model is further improved, so that the accuracy of the determined target search word is improved.

In a possible embodiment, the filtering the candidate search terms to determine an exemplary implementation manner of the target search term may further include:

a parameter value of each of the filtered search terms is determined under a reference dimension, wherein the reference dimension includes at least one of a time dimension, a number of reviews dimension, and a number of search results dimension.

The time dimension is used for representing the time corresponding to the search result corresponding to the filtering search word. For each search result, if the search result includes time information of occurrence of the event, the time information may be used as a time corresponding to the search result; if the search result does not include the time information of the event occurrence, the published time of the search result may be used as the time corresponding to the search result, the earliest time and the latest time corresponding to the search result may be used as the time range of the search result, the number of different times corresponding to the search result may be used as the number of times, and the parameter value in the time dimension may include at least one of the number of times and the time range.

The comment quantity dimension is used for representing the quantity of comments in the search results searched based on the filtering search words, and the sum of the comment quantities of the S search results with the largest quantity of the comments of the search results can be selected as a reference value of the comment quantity dimension for the convenience of calculation, wherein S is a positive integer.

The search result number dimension is used to represent the number of search results searched based on the filtering search term, and then the total number of search results searched based on the filtering search term can be used as a reference value of the search result number dimension.

And determining the display score corresponding to the filtering search word according to the parameter value in the reference dimension.

The parameter values in each reference dimension may be normalized respectively to obtain the target parameter value in the reference dimension. The normalization process may be performed, for example, based on a normalization manner common in the art, such as mapping normalization based on the values of the respective filtered search terms in the reference dimension, and is not limited herein. Thereafter, for each filtered search term, a weighted sum of its target parameter values in the respective reference dimensions may be taken as its corresponding presentation score. The weights of different reference dimensions can be preset according to the application scene, for example, the weights corresponding to the time dimension, the comment number dimension and the search result number dimension can be set to 0.3, 0.3 and 0.4 respectively.

Accordingly, the determining the filtered search term from the filtered search terms based on the recommendation score includes:

and determining the target search word according to the recommendation score and the display score of each filtering search word.

Similarly, a weighted sum of the recommendation score and the presentation score of the filtered search term may be used as a comprehensive reference value, and weights corresponding to the recommendation score and the presentation score may be preset, and may be the same or different, which is not limited. Then after the integrated reference value is obtained, the first T filtering search terms may be ranked in order of the integrated reference value from large to small, and used as the target search term.

Therefore, through the technical scheme, when the target search word for pushing is determined, the reference of the search word in the recommended angle is considered, and meanwhile, the information of the display dimension of the search result obtained based on the search word can be combined, so that the target search word which is more suitable for the search requirement of the user and is convenient for displaying the search result for the user in multiple angles can be determined, the matching degree between the pushing message and the user is improved, and the search flow of the user is saved.

Turning back to fig. 3, in step 33, a display text corresponding to the target search word is generated according to the text generation mode corresponding to the type to which the target search word belongs. The push message may be generated from the display text. If the display text can be directly added into the push message, the display text is sent to the target terminal in a push message mode, and message push in the target terminal is realized.

The text generation method can preset text generation modes corresponding to different types, and text generation can be directly performed based on the text generation modes corresponding to the types after corresponding target search words are determined, so that the generation efficiency of the display text can be improved, and the matching degree between the display text and the target search words can be ensured.

According to the technical scheme, the target search word and the corresponding display text thereof can be determined from the candidate search word set, so that search word recommendation outside the target application can be realized by generating the push message to be based on a channel of message push, the search word can reach a user outside the target application, the front-end search direction is provided for the user conveniently, the user is convenient to use, and the user operation is reduced.

In a possible embodiment, the obtaining the candidate search term set corresponding to the target application may include:

first, obtaining a hot text corpus corresponding to the target application, and adding search words corresponding to the hot spots determined based on the hot text corpus to the candidate search word set.

For example, a hot text corpus may be obtained from a hot ranking of a target application, for example, a hot search word, a surge word (such as a rising national hot spot, a rising local hot spot, etc.), a recommended word derived from a hot video (such as a related word of a video with a play amount of M in front of ranking), a popular category word, etc. in the target application may be obtained as the hot text corpus, and the corresponding obtaining source type may be preset based on an actual application scenario, which is not limited in the disclosure.

Further, the hotspot determination may be performed in the hotspot text corpus, for example, the search frequency of each search term in the hotspot text corpus and the search growth rate in the last period may be comprehensively determined, or may be determined based on a determination method of a hotspot event commonly used in the art, and the like. Therefore, the search words corresponding to the determined hot spots can be added to the candidate search word set, so that the search words corresponding to the hot spot events which are concerned by most users can be used as candidate search words, and the interest degree of the users on the search words which are pushed can be improved to a certain degree.

Second, obtaining related words of the target user in the last N days, and adding the historical related words determined according to the related words to the candidate search word set, wherein the related words comprise at least one of search words, recommended words, post-looking recommended words and search hot words.

As an example, the target user may be any user, or may be a user corresponding to the target terminal to be recommended. N can be set according to the actual application scene.

For example, the search term may include a search term that the target user searches for the last N days, and further it may select a search term having a number of last N days of searches greater than a preset threshold as the associated term. For another example, the recommended word may represent a word recommended by the user based on a search word inside the target application, and the post-viewing recommended word may be a search word recommended by the user after viewing the content inside the target application, e.g., after viewing "XX food", the user may recommend "how XX food does". The search hotspot word may be a hotspot word that searches in the last N days. The timeliness of the partial related words is long, and the searching interest of the user in the target application can be reflected to a certain extent.

The related words may be all determined as history related words, or selected from related words, for example, a related word of topP may be selected from related words of each category as the history related word, for example, a word of topP may be selected from a search word, a recommended word, a post-looking recommended word, and a search hot spot word, respectively, as the history related word.

Wherein, in determining the candidate search word set, the embodiment of the disclosure may include at least one of the first mode and the second mode to ensure the comprehensiveness and effectiveness of the candidate search word set.

Therefore, through the technical scheme, the search words corresponding to the near-term hotspots and the search words capable of reflecting the interests of the user can be added to the candidate search word set, the comprehensiveness of the candidate search word sources is improved, and therefore reliable data support is improved for the accurate pushing of the target search words.

In one possible embodiment, the target search word may be directly determined as the display text of the target search word, where the search word may directly express the intention of the user to search, and then may be directly used as the display text to increase the display importance of the target search word.

In another possible embodiment, an exemplary implementation manner of generating the display text corresponding to the target search word according to the text generation manner corresponding to the type to which the target search word belongs is as follows, where the step may include:

if the type of the target search word is a score type, determining a target object corresponding to the score according to the target search word, and generating a display text corresponding to the target search word based on the target object and a template of the score type.

The term matching process or the semantic matching process may be performed on the target search term to determine whether the type of the target search term is a score type, for example, the type of the search term including the score may be determined as a score type. And then, determining a target object corresponding to the score from the search word, if the target search word is 'A team XX score wins B team', determining that the type of the target object is score type, further determining that the target object is A team and B team, and generating a display text corresponding to the target search word based on the target object and a template of score type. The score type template can be a preset template, and can be set according to an actual application scene. If the template can be that the score is deleted, the display text can be generated as "the team A wins the team B", and if the template can be that the score is deleted and the interpretation text is added, such as "> >", the display text can be generated as "the team A wins the team B > >", so that the user can directly and quickly know the content based on the target search word, and the interest of the user can be further improved by blurring the score, so that the user can have further result display by searching based on the target search word. As shown in fig. 4 a.

If the type of the target search word is a content type, determining the target search word as a title text of the target search word, generating a text according to a search result corresponding to the target search word, obtaining a detail text of the target search word, and determining the title text and the detail text of the target search word as a display text corresponding to the target search word.

As described above, the target search term may originate from terms in different scenarios, such as hotspots, search terms, and the like. The search word may also include a scene type corresponding to the search word, such as news, entertainment, sports, and the like, and a type to which the search word from a hot spot or news belongs may be determined as a content type.

In this embodiment, the target search word is determined to be the title text of the target search word, and the target search word is further described through the detail text, so that a user is prompted more accurately, and the interest of the user is improved. For example, for a target search word from a hot spot, the detail text can be determined based on the search result corresponding to the target search word, for example, the description information of the result of the corresponding first display position in the search result can be used as the detail text of the target search word, or natural language generation can be performed based on the description information of a plurality of results in the search result, so as to obtain the detail text. If the target search term is "manifestation of several stages of pneumonia", explanatory information of a first result among results searched in the target application based on the "manifestation of several stages of pneumonia" may be used as a detailed text, such as "what stages are the main manifestation of pneumonia? The professional doctor solves > >, and the display mode is shown in fig. 4b, so that the interest degree of the user in the push message can be further improved.

For other types than score type and content type, "detail please click" may be added after the target search term to obtain a corresponding display text to prompt the user to search based on the target search term for further details.

Therefore, through the technical scheme, the display text corresponding to the target search word can be determined by adopting different text generation modes through different types of the target search word, the accuracy of the display text is improved, meanwhile, the user can read conveniently to a certain extent, and the interested degree of the user for the push message is improved, so that the pushed target search word can be attached to the use requirement of the user.

In a possible embodiment, if the source of the target search word is a search word corresponding to a hot spot, the display text corresponding to the target search word further includes a quantity prompt text, and the quantity prompt text is generated based on the search quantity corresponding to the target search word.

If the source of the target search word is a search word corresponding to a hot spot, which means that the target search word is searched for multiple times in the latest time period, the number of times the target search word is searched for can be further obtained as the search number, and a number prompt text, such as 'having been searched for and focused by XX people', is generated, wherein XX can be filled in based on the actual search number, and the XX can be added into a display text to display the user, so that the user can further know the focused degree of the target search word based on the display text, and can display more comprehensive push information for the user.

In one possible embodiment, the method may further comprise:

in response to receiving click operation of a user on the displayed push message, starting the target application in a target terminal, and searching in the target application based on the target search word to obtain a search result corresponding to the target search word;

and displaying the search result in the search result page of the target application.

After displaying the push message in the target terminal, the user may perform a click operation on the push message, and then may start the target application in the target terminal and enter the target application in response to the click operation, as shown in fig. 4 b. Meanwhile, the target application can search based on the target search word in the push message to obtain a search result, and the search result is displayed in a search result page of the target application, wherein the search result page is shown in fig. 5.

Therefore, through the technical scheme, the user can search in the target application and display the search result in a mode of directly clicking the push message, the user does not need to actively start the target application and input search words, the search path and search operation of the user are effectively simplified, and the user can use the search result conveniently. Meanwhile, when the target application is not started in the target terminal, search words possibly interested by the user in the target application can be pushed to the user, so that the user can acquire information without opening the target application to search, and the use experience of the user is improved.

The present disclosure further provides a display device for searching information, as shown in fig. 6, the device 10 includes:

the receiving module 100 is configured to receive a push message corresponding to a target application, where the push message includes a display text corresponding to a target search word determined from a candidate search word set, the target search word is used to search in the target application to obtain a search result, the display text is generated according to a text generation mode corresponding to a type to which the target search word belongs, and the display text is used to represent description information of the target search word;

a first display module 200, configured to display the display text in the push message.

Optionally, the push message corresponding to the target application is generated by a generating device, and the generating device includes:

the acquisition module is used for acquiring a candidate search word set corresponding to the target application, wherein the candidate search word set comprises a plurality of candidate search words and types of the candidate search words;

the first determining module is used for screening the candidate search words and determining the target search words;

and the generation module is used for generating a display text corresponding to the target search word according to a text generation mode corresponding to the type to which the target search word belongs.

Optionally, the acquiring module includes:

the first acquisition sub-module is used for acquiring a hot text corpus corresponding to the target application and adding search words corresponding to the hot spots determined based on the hot text corpus to the candidate search word set; and/or

And the second acquisition sub-module is used for acquiring the related words of the target user in the last N days, and adding the history related words determined according to the related words to the candidate search word set, wherein the related words comprise at least one of search words, recommended words, post-looking recommended words and search hot words.

Optionally, the first determining module includes:

the filtering sub-module is used for filtering the candidate search words to obtain filtered search words;

the first determining submodule is used for determining recommendation scores corresponding to each filtering search word based on a search word determining model, wherein positive samples of training data corresponding to the search word determining model comprise pushing search words clicked by a user and input search words input by the user, and the recommendation scores are used for representing the similarity degree between the filtering search words and the search words used by the user;

And a second determining sub-module for determining the target search term from the filtered search terms based on the recommendation score.

Optionally, the first determining module further includes:

a third determination submodule for determining a parameter value of each filtering search term under a reference dimension, wherein the reference dimension comprises at least one of a time dimension, a comment quantity dimension and a search result quantity dimension;

a fourth determining submodule, configured to determine a display score corresponding to the filtering search term according to the parameter value in the reference dimension;

the second determination submodule is further configured to:

Optionally, the filtering submodule includes:

the first filtering sub-module is used for determining the similarity between the candidate search words and the search words pushed in the history period and deleting the candidate search words with the similarity larger than a similarity threshold value; and/or

The second filtering sub-module is used for carrying out matching processing on the candidate search words and the filtering words in the filtering word set and deleting the matched candidate search words, wherein the matching processing comprises word matching processing and/or semantic matching processing;

And a fifth determining sub-module, configured to use the candidate search terms in the candidate search term set obtained after deletion as the filtering search terms.

Optionally, the generating module includes:

the first generation sub-module is used for determining a target object corresponding to the score according to the target search word if the type of the target search word is the score type, and generating a display text corresponding to the target search word based on the target object and a template of the score type;

and the second generation sub-module is used for determining the target search word as the title text of the target search word if the type of the target search word is a content type, generating text according to the search result corresponding to the target search word, obtaining the detail text of the target search word, and determining the title text and the detail text of the target search word as the display text corresponding to the target search word.

Optionally, if the source of the target search word is a search word corresponding to a hot spot, the display text corresponding to the target search word further includes a quantity prompt text, and the quantity prompt text is generated based on the search quantity corresponding to the target search word.

Optionally, the apparatus further comprises:

the searching module is used for responding to the click operation of the user on the displayed push message, starting the target application in the target terminal, searching in the target application based on the target search word and obtaining a search result corresponding to the target search word;

and the second display module is used for displaying the search result in the search result page of the target application.

Referring now to fig. 7, a schematic diagram of an electronic device 600 suitable for use in implementing embodiments of the present disclosure is shown. The terminal devices in the embodiments of the present disclosure may include, but are not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and the like, and stationary terminals such as digital TVs, desktop computers, and the like. The electronic device shown in fig. 7 is merely an example and should not be construed to limit the functionality and scope of use of the disclosed embodiments.

As shown in fig. 7, the electronic device 600 may include a processing means (e.g., a central processing unit, a graphic processor, etc.) 601, which may perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 602 or a program loaded from a storage means 608 into a Random Access Memory (RAM) 603. In the RAM 603, various programs and data required for the operation of the electronic apparatus 600 are also stored. The processing device 601, the ROM 602, and the RAM 603 are connected to each other through a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.

In general, the following devices may be connected to the I/O interface 605: input devices 606 including, for example, a touch screen, touchpad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, and the like; an output device 607 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 608 including, for example, magnetic tape, hard disk, etc.; and a communication device 609. The communication means 609 may allow the electronic device 600 to communicate with other devices wirelessly or by wire to exchange data. While fig. 7 shows an electronic device 600 having various means, it is to be understood that not all of the illustrated means are required to be implemented or provided. More or fewer devices may be implemented or provided instead.

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 non-transitory computer readable medium, the computer program comprising program code for performing the method shown in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via communication means 609, or from storage means 608, or from ROM 602. The above-described functions defined in the methods of the embodiments of the present disclosure are performed when the computer program is executed by the processing device 601.

It should be noted that the computer readable medium described in the present disclosure may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage 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 device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this disclosure, 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 disclosure, however, the computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with the 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: electrical wires, fiber optic cables, RF (radio frequency), and the like, or any suitable combination of the foregoing.

In some implementations, the clients, servers may communicate using any currently known or future developed network protocol, such as HTTP (HyperText Transfer Protocol ), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the internet (e.g., the internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed networks.

The computer readable medium may be contained in the electronic device; or may exist alone without being incorporated into the electronic device.

The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: receiving a push message corresponding to a target application, wherein the push message comprises a display text corresponding to a target search word determined from a candidate search word set, the target search word is used for searching in the target application to obtain a search result, the display text is generated according to a text generation mode corresponding to the type to which the target search word belongs, and the display text is used for representing description information of the target search word; and displaying the display text in the push message.

Computer program code for carrying out operations of the present disclosure may be written in one or more programming languages, including, but not limited to, 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 be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through 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 disclosure. 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 for implementing the specified logical function(s). It should also be noted that, 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 disclosure may be implemented in software or hardware. The name of the module is not limited to the module itself in some cases, for example, the receiving module may also be described as "a module that receives a push message corresponding to the target application".

The functions described above herein may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: a Field Programmable Gate Array (FPGA), an Application Specific Integrated Circuit (ASIC), an Application Specific Standard Product (ASSP), a system on a chip (SOC), a Complex Programmable Logic Device (CPLD), and the like.

In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. The machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

According to one or more embodiments of the present disclosure, example 1 provides a method of presenting search information, wherein the method includes:

and displaying the display text in the push message.

According to one or more embodiments of the present disclosure, example 2 provides the method of example 1, wherein the push message corresponding to the target application is generated by:

acquiring a candidate search word set corresponding to the target application, wherein the candidate search word set comprises a plurality of candidate search words and types of the candidate search words;

screening the candidate search words and determining the target search words;

and generating a display text corresponding to the target search word according to a text generation mode corresponding to the type to which the target search word belongs.

According to one or more embodiments of the present disclosure, example 3 provides the method of example 2, wherein the obtaining the candidate search term set corresponding to the target application includes:

acquiring a hot text corpus corresponding to the target application, and adding search words corresponding to hot spots determined based on the hot text corpus to the candidate search word set; and/or

And acquiring related words of the target user in the nearest N days, and adding the historical related words determined according to the related words to the candidate search word set, wherein the related words comprise at least one of search words, recommended words, post-looking recommended words and search hot words.

In accordance with one or more embodiments of the present disclosure, example 4 provides the method of example 2, wherein the screening the candidate search terms to determine the target search term comprises:

filtering the candidate search words to obtain filtered search words;

determining recommendation scores corresponding to each filtering search word based on a search word determining model, wherein positive samples of training data corresponding to the search word determining model comprise pushing search words clicked by a user and input search words input by the user, and the recommendation scores are used for representing the similarity degree between the filtering search words and the search words used by the user;

In accordance with one or more embodiments of the present disclosure, example 5 provides the method of example 4, wherein the screening the candidate search terms to determine the target search term further comprises:

determining a parameter value of each filtering search word under a reference dimension, wherein the reference dimension comprises at least one of a time dimension, a comment quantity dimension and a search result quantity dimension;

determining the display score corresponding to the filtering search word according to the parameter value in the reference dimension;

the determining the target search term from the filtered search terms based on the recommendation score includes:

In accordance with one or more embodiments of the present disclosure, example 6 provides the method of example 4, wherein the filtering the candidate search terms to obtain filtered search terms comprises:

determining the similarity between the candidate search words and the search words pushed in the history period, and deleting the candidate search words with the similarity greater than a similarity threshold; and/or

Matching the candidate search words with the filter words in the filter word set, and deleting the matched candidate search words, wherein the matching process comprises word matching process and/or semantic matching process;

and taking the candidate search words in the candidate search word set obtained after deletion as the filtering search words.

According to one or more embodiments of the present disclosure, example 7 provides the method of example 2, wherein the generating, according to the text generation manner corresponding to the type to which the target search term belongs, the display text corresponding to the target search term includes:

if the type of the target search word is a score type, determining a target object corresponding to the score according to the target search word, and generating a display text corresponding to the target search word based on the target object and a template of the score type;

In accordance with one or more embodiments of the present disclosure, example 8 provides the method of example 2, wherein if the source of the target search term is a search term corresponding to a hotspot, the display text corresponding to the target search term further includes a quantity hint text, the quantity hint text generated based on the search quantity corresponding to the target search term.

Example 9 provides the method of example 1, according to one or more embodiments of the present disclosure, wherein the method further comprises:

Example 10 provides a display apparatus for searching for information, according to one or more embodiments of the present disclosure, wherein the apparatus comprises:

According to one or more embodiments of the present disclosure, example 11 provides a computer-readable medium having stored thereon a computer program which, when executed by a processing device, implements the steps of the method of any of examples 1-9.

Example 12 provides an electronic device according to one or more embodiments of the present disclosure, comprising:

a storage device having a computer program stored thereon;

processing means for executing the computer program in the storage means to implement the steps of the method of any one of examples 1-9.

The foregoing description is only of the preferred embodiments of the present disclosure and description of the principles of the technology being employed. It will be appreciated by persons skilled in the art that the scope of the disclosure referred to in this disclosure is not limited to the specific combinations of features described above, but also covers other embodiments which may be formed by any combination of features described above or equivalents thereof without departing from the spirit of the disclosure. Such as those described above, are mutually substituted with the technical features having similar functions disclosed in the present disclosure (but not limited thereto).

Moreover, although operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order. In certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are included in the above discussion, these should not be construed as limiting the scope of the present disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination.

Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are example forms of implementing the claims. The specific manner in which the various modules perform the operations in the apparatus of the above embodiments have been described in detail in connection with the embodiments of the method, and will not be described in detail herein.

Claims

1. A method for displaying search information, the method comprising:

and displaying the display text in the push message.

2. The method of claim 1, wherein the push message corresponding to the target application is generated by:

screening the candidate search words and determining the target search words;

3. The method of claim 2, wherein the obtaining the candidate search term set corresponding to the target application comprises:

4. The method of claim 2, wherein the screening the candidate search terms to determine the target search term comprises:

filtering the candidate search words to obtain filtered search words;

5. The method of claim 4, wherein the screening the candidate search terms to determine the target search term further comprises:

6. The method of claim 4, wherein filtering the candidate search terms to obtain filtered search terms comprises:

7. The method according to claim 2, wherein the generating the display text corresponding to the target search term according to the text generation manner corresponding to the type to which the target search term belongs includes:

8. The method of claim 2, wherein if the source of the target search term is a search term corresponding to a hotspot, the display text corresponding to the target search term further includes a quantity hint text generated based on a number of searches corresponding to the target search term.

9. The method according to claim 1, wherein the method further comprises:

10. A display device for searching information, the device comprising:

11. A computer readable medium on which a computer program is stored, characterized in that the program, when being executed by a processing device, carries out the steps of the method according to any one of claims 1-9.

12. An electronic device, comprising:

a storage device having a computer program stored thereon;

processing means for executing said computer program in said storage means to carry out the steps of the method according to any one of claims 1-9.