CN110489635B

CN110489635B - Data object search control method, device and system

Info

Publication number: CN110489635B
Application number: CN201810462313.7A
Authority: CN
Inventors: 杨济遥; 黄海宽; 陈曦; 肖非; 龚禹; 杨蕴伦; 姬建辉; 崔保良; 吴嘉伟; 赵红斌; 顾岚岚; 冯霞; 林鹏
Original assignee: Alibaba Group Holding Ltd
Current assignee: Alibaba Group Holding Ltd
Priority date: 2018-05-15
Filing date: 2018-05-15
Publication date: 2023-05-05
Anticipated expiration: 2038-05-15
Also published as: CN110489635A

Abstract

The embodiment of the application discloses a data object search control method, a device and a system, wherein the system comprises the following steps: the searching module is used for providing searching results according to the received initial keywords; the front-end display module is used for displaying the search result interface, providing an operation entrance for initiating interactive search based on the search result, and initiating a call request to the artificial intelligent assistant module after receiving an interactive search request through the operation entrance, wherein the call request carries the initial keyword and/or the displayed search result information; the artificial intelligent assistant module is used for generating interaction content according to the calling request and the information carried in the calling request, obtaining interaction response information input by a user through the front-end display module, generating an interaction result according to the user interaction response information, and optimizing the search result according to the interaction result. According to the embodiment of the application, the searching efficiency can be improved.

Description

Data object search control method, device and system

Technical Field

The present disclosure relates to the field of information searching technologies, and in particular, to a method, an apparatus, and a system for controlling data object searching.

Background

In the network sales system, commodity searching is an important function provided by the system, so that a user can inform the system of own needs in a keyword input mode, and then the system can return search results related to the keywords to the user, and the user can select commodities needed by the user.

Along with the gradual rich behaviors of the user in the search, the demands on shopping guide categories are increasingly improved, and the demands on accurate search by the user are also gradually improved. The accuracy of the search results is often greatly dependent on the accuracy of the keywords, and the more accurate the keyword description, the more accurate the search results can be obtained. However, since the keywords are generally input by the user by editing them by themselves, there may be a gap between the keywords actually input and the goods actually required. For example, the "washing machine" is used as a keyword to search, different users have different demands on models, sizes, brands and the like, and after the users need to repeatedly search and confirm for a plurality of times in the search results, the users can find a washing machine which really meets the demands of the users.

To assist users in obtaining more accurate search results, various schemes have been provided in the art. For example, in one manner, after a user inputs a certain keyword, classified search keywords in various dimensions may be provided, from which the user may select a specific certain category keyword, thereby narrowing the search. For example, if a keyword input by a user is "mobile phone", multiple selectable search keywords can be provided in dimensions of brands, sizes and the like of mobile phones, and the user can select one brand of mobile phone to search, so that other brands of mobile phones can be filtered out, and the like. Alternatively, more refined keywords may be provided for the user in the form of "brocade" in the search results page, for example, when the user searches for "one-piece dress", the "brocade" may prompt a plurality of optional refined keywords such as "one-piece dress korean", "one-piece dress lace", etc., and if the user needs, one of the refined keywords may be selected, at this time, the search result corresponding to the refined keyword may be given again, and so on.

The above-mentioned various ways can help users to narrow the search range by classifying the keywords, but all belong to the keywords recommended to the users by the system, but not the active expressions of the users, and lack the active expressions of the users in the richness of the keywords.

Therefore, how to help users achieve initiative in terms of expression of search keywords, and improve search efficiency, is a technical problem that needs to be solved by those skilled in the art.

Disclosure of Invention

The application provides a data object search control method, a data object search control device and a data object search control system, which can improve search efficiency.

The application provides the following scheme:

a data object search control system, comprising:

the searching module is used for providing searching results according to the received initial keywords;

the front-end display module is used for displaying the search result interface, providing an operation entrance for initiating interactive search based on the search result, and initiating a call request to the artificial intelligent assistant module after receiving an interactive search request through the operation entrance, wherein the call request carries the initial keyword and/or the displayed search result information;

the artificial intelligent assistant module is used for generating interaction content according to the calling request and the information carried in the calling request, obtaining interaction response information input by a user through the front-end display module, generating an interaction result according to the user interaction response information, and optimizing the search result according to the interaction result.

A data object search control method, comprising:

displaying a search result interface, and providing an operation inlet for initiating interactive search in the search result interface;

after receiving an interactive search request through the operation entrance, initiating a call request to an artificial intelligent assistant module to initiate a call request, wherein the call request carries initial keywords and/or displayed search result information;

receiving and displaying the interactive content information returned by the artificial intelligent assistant module;

receiving interaction response information input by a user aiming at the interaction content information, submitting the interaction response information to the artificial intelligent assistant module so that the artificial intelligent assistant module can generate an interaction result according to the user interaction response information, and optimizing the search result according to the interaction result;

and displaying the optimized search result information.

A data object search control method, comprising:

receiving a call request submitted by a front-end display module in the process of displaying a target search result interface, wherein the call request carries initial keywords associated with the target search result interface and/or displayed search result information;

Generating interactive contents according to the call request and the information carried in the call request, and providing the interactive contents to the front-end display module;

the interactive response information input by the user is obtained through the front-end display module;

and generating an interaction result according to the user interaction response information, and optimizing the search result in the target search result interface according to the interaction result.

A data object search control method, comprising:

providing search results according to the initial keywords input by the user;

receiving optimized keywords provided by an artificial intelligent assistant module; the optimized keywords are generated according to the interactive content provided by the artificial intelligent assistant module and the interactive response information submitted by the user;

and searching again according to the optimized keywords, and providing updated search results.

A data object search control method, comprising:

providing a search result interface according to the received initial keywords, and providing an operation inlet for initiating interactive search in the search result interface;

providing an interaction area after receiving an interaction request through the operation inlet, and providing interaction content in the interaction area according to the keywords and the currently displayed search results;

And determining an interaction result, and optimizing a search result according to the interaction result.

A data object search control apparatus comprising:

the display unit is used for displaying the search result interface and providing an operation inlet for initiating interactive search in the search result interface;

the calling unit is used for initiating a calling request to the artificial intelligent assistant module to initiate a calling request after receiving the interactive search request through the operation entrance, wherein the calling request carries initial keywords and/or displayed search result information;

the interactive content display unit is used for receiving and displaying the interactive content information returned by the artificial intelligent assistant module;

the interactive response information submitting unit is used for receiving interactive response information input by a user aiming at the interactive content information and submitting the interactive response information to the artificial intelligent assistant module so that the artificial intelligent assistant module can generate an interactive result according to the user interactive response information and optimize the search result according to the interactive result;

the display unit is also used for displaying the optimized search result information.

A data object search control apparatus comprising:

The system comprises a call request receiving unit, a target search result interface display unit and a display unit, wherein the call request receiving unit is used for receiving a call request submitted by a front-end display module in the process of displaying the target search result interface, and the call request carries initial keywords associated with the target search result interface and/or displayed search result information;

the interactive content generation unit is used for generating interactive content according to the calling request and the information carried in the calling request and providing the interactive content for the front-end display module;

the interactive response information acquisition unit is used for acquiring interactive response information input by a user through the front-end display module;

and the optimizing unit is used for generating an interaction result according to the user interaction response information and optimizing the search result in the target search result interface according to the interaction result.

A data object search control apparatus comprising:

a search result providing unit for providing search results according to the initial keywords input by the user;

the optimization information receiving unit is used for receiving the optimized keywords provided by the artificial intelligent assistant module; the optimized keywords are generated according to the interactive content provided by the artificial intelligent assistant module and the interactive response information submitted by the user;

And the searching unit is used for searching again according to the optimized keywords and providing updated searching results.

A data object search control apparatus comprising:

an operation entry providing unit for providing a search result interface according to the received initial keyword and providing an operation entry for initiating an interactive search in the search result interface;

the interaction unit is used for providing an interaction area after receiving an interaction request through the operation inlet and providing interaction content in the interaction area according to the keywords and the currently displayed search results;

and the optimizing unit is used for determining an interaction result and optimizing the search result according to the interaction result.

An electronic device, comprising:

one or more processors; and

a memory associated with the one or more processors, the memory for storing program instructions that, when read for execution by the one or more processors, perform the operations of:

According to a specific embodiment provided by the application, the application discloses the following technical effects:

because the artificial intelligent assistant module is added and an operation entrance for performing interactive search is provided in the front-end display module, a user can more clearly know own requirements through dialogue with the artificial intelligent assistant module in a search result interface, and therefore the artificial intelligent assistant module can optimize the search result according to specific interaction results. Through the dialogue mode, the user can more actively express own requirements, and search results are optimized on the basis, so that the search efficiency is improved.

Under the preferred implementation mode, linkage can be generated between new searching processes triggered in the specific interaction process, so that the searching efficiency is improved.

Of course, not all of the above-described advantages need be achieved at the same time in practicing any one of the products of the present application.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.

FIG. 1 is a schematic diagram of a system provided by an embodiment of the present application;

FIGS. 2-1 and 2-2 are schematic diagrams illustrating an interactive area display state according to an embodiment of the present application;

FIGS. 3-1 to 3-4 are schematic diagrams of interactive content provided by embodiments of the present application;

FIG. 4 is a schematic diagram of another interactive content provided by an embodiment of the present application;

FIG. 5 is a flow chart of a first method provided by an embodiment of the present application;

FIG. 6 is a flow chart of a second method provided by an embodiment of the present application;

FIG. 7 is a flow chart of a third method provided by an embodiment of the present application;

FIG. 8 is a flow chart of a fourth method provided by an embodiment of the present application;

FIG. 9 is a schematic diagram of a first apparatus provided in an embodiment of the present application;

FIG. 10 is a schematic diagram of a second apparatus provided in an embodiment of the present application;

FIG. 11 is a schematic view of a third apparatus provided in an embodiment of the present application;

FIG. 12 is a schematic view of a fourth apparatus provided in an embodiment of the present application;

fig. 13 is a schematic diagram of an electronic device provided in an embodiment of the present application.

Detailed Description

The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all, of the embodiments of the present application. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application are within the scope of the protection of the present application.

In the embodiment of the application, in order to better optimize the search result, help the user to realize initiative in terms of the expression of the search keywords, improve the linkage of the search process and provide a corresponding solution. In the scheme, an operation inlet for interaction with a preset artificial intelligent assistant (commonly called an intelligent robot) module can be provided for a user while search results are provided, the actual intention of the user can be known more clearly through the artificial intelligent assistant module under the condition that the user needs, the user can be guided to express own needs independently, and the search results can be optimized on the basis that the actual intention of the user is known, namely, the search process is a series of actions with linkage, and the actions are not isolated from each other, so that the search efficiency can be improved, and the user experience is improved.

Specific implementations are described in detail below.

Example 1

In the first embodiment, there is provided a data object search control system, referring to fig. 1, which may specifically include:

a search module 101, configured to provide search results according to the received initial keyword;

the front-end display module 102 is configured to display the search result interface, provide an operation entry for initiating an interactive search based on the search result, and initiate a call request to the intelligent assistant module after receiving an interactive search request through the operation entry, where the call request carries the initial keyword and/or the displayed search result information;

the artificial intelligent assistant module 103 is configured to generate an interactive content according to the call request and information carried therein, obtain, through the front-end display module, interactive response information entered by a user, generate an interactive result according to the user interactive response information, and optimize the search result according to the interactive result.

It should be noted that, in specific implementation, the search module 101 and the artificial intelligence assistant module 103 may be generally disposed at a server side, and the front-end display module 102 may be disposed at a client side, where the server side and the client side may be two parts of the same application program, for example, in practical application, the server side and the client side of the "heaven cat" system may be the same. In addition, the search module 101 and the artificial intelligence assistant module 103 may be independent from each other or may be integrated together. Of course, in other implementations, all the modules may be located in the same terminal device, for example, for some local applications, a search database, a knowledge base required by an artificial intelligence assistant, and the like may be stored locally in the terminal device in advance, so that a series of processes of searching, displaying, interacting, optimizing, and the like may be completed locally in the terminal device without networking.

First, regarding the search module 101, the main function is to search according to keywords input by a user based on a preset search database, and return search results. Of course, in the embodiment of the present application, since an operation portal for interacting with the artificial intelligence assistant module is provided in the search result interface, the user can more completely and more accurately express the search requirement through the operation portal, and the artificial intelligence assistant module may generate the optimized keyword, so the search module 101 may receive the optimized keyword provided by the artificial intelligence assistant module 103 for further searching in addition to receiving the initial keyword input by the user for searching.

Regarding the front-end presentation module 102, its main function is to define the presentation form of a specific search result interface, for example, the layout manner of specific resource bits (for example, two resource bits in a row, or one resource bit in a row, etc.), which specific information (for example, including pictures, titles, etc.) is presented in each resource bit, and so on. In the embodiment of the application, the method has the more important effect that the support can be provided for the interaction between the user and the artificial intelligent assistant module. Such support may be embodied in a variety of ways, one of which is with respect to the provision of an operation portal. That is, in the search results interface, it is desirable to provide an operational portal for initiating an interactive search such that a user can interact directly with the artificial intelligence assistant module in the search results interface.

In particular implementations, the particular form of the operation portal may be varied, for example, in one manner, an operation portal may be provided in the search results interface for initiating an interactive search by pulling down on the top of the interface. That is, after the search result interface is presented, if the user is not satisfied after browsing some search results, or does not know how to select, the search result interface may be dragged back to the top of the interface first, and then a pull-down operation is performed in that state, so that the interactive search process may be triggered. Of course, in practical application, in the process of displaying the search result interface, prompting information can be displayed to the user for prompting the user to call out the interactive search through the operation; or prompting a specific operation mode through a semitransparent mask and the like in the initial state of displaying the search interface. In addition, after the search result interface has been slid down for a certain length, an operation option such as "back to top" may be provided in the interface in a floating layer or the like, and when the user needs to initiate the interactive search, the user may quickly return to the top of the search result interface through the operation option, without performing operations such as sliding up the interface multiple times.

Another way of providing an operation portal may be to provide a floating layer in the search results interface and provide an operation portal in the floating layer for initiating an interactive search by clicking. For example, a floating layer may be provided at the top of the screen and other positions during the process of displaying the search result interface, the content displayed in the floating layer may be "i am robot XXX, not know how to choose, how to help with i am", etc., and the relative position of such a floating layer and the screen may be generally fixed, that is, no matter where the search result interface is slid to, the floating layer may always be viewed at the fixed position of the screen, so that the user may initiate an interactive search by clicking the floating layer at any time.

Still another way to provide an operation portal may be to insert a special resource bit into the resource bit of the search result interface, where the pattern of the resource bit may be different from other resource bits, for example, a common resource bit may be a rectangular box with a square shape, for displaying information such as a commodity drawing, a title, etc., and a resource bit used as an operation portal may be a rectangular pattern, etc. Of course, the same pattern as other common resource bits is also possible, and so on. Corresponding prompt information can be provided in the inserted resource bit, so that the interactive searching process can be triggered to enter under the condition that the resource bit is operated. The insertion timing of the special resource bit may be various, for example, it may be inserted at a fixed location, specifically, for example, after the 20 th search result, etc. Alternatively, the time of insertion may also be determined according to behavior features that are reflected by the user in the search result interface, for example, if a certain user is found to continuously slide N times, a specific desired object is not yet determined, even if no operation of viewing details is performed on any one of the search results, a resource bit may be inserted at a location currently displayed in the search result interface, to be used as an operation entry for initiating an interactive search, and so on.

After providing various forms of operation portals, a user may initiate an interactive search request through such operation portals during browsing of the search results interface if existing search results are not satisfactory or there is confusion or difficulty in making a particular selection. Accordingly, the front-end presentation module may receive the request and, in turn, may invoke the artificial intelligence assistant module. The specific call request may carry current presentation status information, for example, may specifically include an original keyword input by a user, or information of a presented search result, or may also include both information. The above information may be used to determine how the user expressed his needs with the keywords when initiating the search for the first time, after obtaining the search results with the keywords, after seeing which specific search results (the search results interface will be generally long, the user will typically see from front to back by sliding the screen, etc., the search results that have been seen but not selected by the user may generally be considered to be inconsistent with the user's needs), and initiate the interactive search request. Thus, the artificial intelligence assistant module can generate the interactive content according to the information. For example, it may specifically be a question posed to the user, or it may also be information recommended to the user, or the like. The interactive content information can be returned to the front-end display module 102, so that the front-end display module can display the interactive content information, and meanwhile, the front-end display module can also receive interactive response information input by a user aiming at the interactive content and provide the interactive response information to the artificial intelligent assistant module, and further, the artificial intelligent assistant module can generate an interactive result according to the interactive response information and optimize a search result according to the interactive result.

The front-end display module may display the interactive content in various manners, for example, one manner may be to provide an interactive area, and display the interactive content provided by the artificial intelligent assistant module and the interactive response information input by the user in a dialogue manner in the interactive area. The specific interaction area may be located in the search result interface, or may be provided through a pop-up window, etc. In the former implementation manner, the display window may be divided into a first sub-window and a second sub-window, where the first sub-window is used to display the interaction area, and the second sub-window is used to display the optimized search result information. For example, as shown in fig. 2-1, the area indicated by 21 is an interaction area, in which specific interaction content can be displayed, and the area indicated by 22 is used to display the optimized search result. In a specific implementation, the front end display module may be further configured to switch the first sub-window to an up-retracted state after detecting the operation of sliding upwards, and display the first sub-window in a floating layer form. For example, as shown in fig. 2-2, the area shown at 23 is in a retracted state, in which some simple prompt information can be displayed, for example, "parent" shown in the figure, how many people's families purchase washing machines, different people need different capacities, and so on, and an option for expanding the area can be provided, for example, a downward arrow shown at the right side of the area at 23, and the user can restore the interaction area to the expanded state by operating the option at any time.

Specific interactive content generation, interactive result determination, search result optimization and the like are described in detail below.

According to the determined interaction results, the artificial intelligent assistant module can also have various modes when optimizing the search results. For example, in one case, the interaction result may be optimized keyword information generated based on the initial keyword, at which time the artificial intelligence assistant module may reinitiate the search according to the optimized keyword information and provide updated search results in the search result display area of the interface.

The method for specifically obtaining the optimized keyword may also be multiple, for example, in one manner, the interaction question information may be provided in the interaction area according to the keyword and/or the displayed search result, and the optimized keyword information may be determined according to answer information for the interaction question information. Specifically, the problem information may be preset, and in a specific implementation, a knowledge base may be prepared in advance for the artificial intelligent assistant module, where some user intention categories may be set in the knowledge base, and the user intention categories may be expressed according to the data object category information, for example, may include "infant products", "auto parts", and so on; in addition, one or more question templates can be set for each user intention category, each question template can comprise one or more questions, the requirements of the user are finally determined through one round or Toront question answering, and keywords are optimized.

In particular, some optional answer options may be provided for each question in the template, for example, as shown in fig. 3-1, for the "infant products" category, the questions in the question template may include "parent, how big child you shop? The corresponding question options may include "under 1 year old, 2 to 3 years old, 3 to 5 years old", and so on. For templates with only one question, corresponding interaction results can be set for various answer options, so that after a user selects one answer option, the corresponding interaction results can be determined according to the option. The interaction result can be optimized keywords and the like. For the templates needing to be subjected to N rounds of question-answering, the optimized keywords can be generated according to the response information in each round of question-answering, and the like.

In addition, besides specific interactive problem information, some introduction contents related to the keywords and/or the attribute values can be preset in the problem template. For example, the user searches for a "dust collector", and at the same time of providing the interaction problem, provides some introduction information related to the dust collector, including the purchase key information introduction of the dust collector. For example, "the purchasing of the cleaner is to select the kind according to the need", and so on. In addition, various optional information such as the type of cleaner may be provided. The purchase key information can also be used as an interactive question, and answer options about the question can comprise a plurality of different types of dust collectors and the like. That is, by introducing the purchase key information of the dust collector, the question information requiring the user to select a specific type can be led out, and the user can select various listed options. Meanwhile, for various specific types, information describing various types can be provided, and after a user selects a certain type, the information describing the type can be displayed on the one hand, and on the other hand, the search result can be optimized to only comprise the dust collector of the type, and the like. For example, as shown in fig. 3-2, when the user selects "canister cleaner" on the basis of that shown in fig. 2-1, a graphic introduction about canister cleaner may be popped up, and so on. Thus, through the introduction information, the user can be helped to select the search result better or answer the interaction question. The content of the introduction category may specifically exist in a graphic form or may also exist in audio, video and other forms, for example, as shown in fig. 3-1, regarding a searching scene of the toy category of the child, specifically when introducing different building block types, the content may be displayed in a video form, after a user selects one of the types, the user may trigger the playing of the corresponding video, so that the user may obtain a more intuitive experience.

In this way, in the case of preparing the knowledge base, the artificial intelligent assistant module may determine the user intention category to which the initial keyword belongs, for example, the initial keyword is "infant milk powder", the user intention category to which the initial keyword belongs may be "infant product", and so on, specifically when determining the interactive content. And selecting a target problem template from the problem templates corresponding to the user intention category according to the display condition of the displayed search result, and providing the interactive problem information according to the target problem template. Specifically, when the target problem template is selected, labels and the like of the displayed search results can be analyzed to judge whether certain commonalities exist or not, so that which problem template can be selected can be determined.

For example, for a specific user intention category, the question templates set for them may be classified into three, one of which is a first question template for inquiring whether the target tag is not required, another of which is a second question template for inquiring whether the current keyword needs to be replaced, and a third question template for inquiring the attribute value required under various tags. Only one question can exist in the first question template and the second question template, a plurality of questions can exist in the third question template, and the requirements of the user are finally determined through multiple questions and answers. After receiving a specific interactive search request, the problem template can be selected according to the current initial keyword and the information of the displayed search result. And if each data object in the displayed search results carries a certain target label, selecting the first problem template. That is, assuming that the infant milk powder searched by the user has the same brand tag in all the displayed 20 search results, the user can be queried through the first question template whether the brand milk powder is not needed, and further, if the response of the user is yes, the optimized keyword can be determined as infant milk powder outside a certain brand, so that the optimized search results will not contain the brand milk powder. And if the labels carried by the data objects in the displayed search results are uniformly distributed, selecting the second problem template. That is, assuming that the user searches for the infant milk powder, but the first 20 milk powders already shown already contain milk powders of various brands, various places of production, various specifications, and the occurrence frequency of each tag is substantially the same, in this way, in the case that the user still does not find a suitable object, there may be errors in keywords used in the search, so that the user may be queried through the second problem template whether the user used the wrong keywords, and if so, the user may be prompted to replace the keywords, and then the search module may be re-initiated with the search module. Furthermore, if each data object in the displayed search result is respectively provided with a plurality of types of labels, and the same type of labels comprise a plurality of attribute values, a target problem template for inquiring the attribute values required by the various labels can be selected. For example, for the keyword "infant milk powder", if the displayed labels contained in the search results do not have obvious single commonality and are unevenly distributed, multiple rounds of inquiry can be initiated to the user through the third problem template, and the inquiry can be performed for different label types. For example, the first question may be asking for child age, the second question may be asking for a desired brand, the third question may be asking for whether importation is required, and so on. Thus, through multiple rounds of questions and answers, the requirements of the user can be determined more clearly, and optimized keywords can be generated. For example, the optimized keyword may be "brand a imported milk powder suitable for babies 0 to 1 year old", or the like.

Therefore, the interactive content can be determined through the selection of the problem template, the interactive response information input by the user is obtained, and then the search result can be optimized according to the interactive result. Under the above circumstances, since the interaction result is mainly optimized for the keyword, the optimization process for the search result may be to re-initiate the search to the search module by using the optimized keyword, and display the re-obtained search result. Therefore, the user can obtain more effective search results and the selection efficiency of the search results is improved because the search results are optimized.

Of course, besides providing interactive questions by the artificial intelligent assistant module, the user can actively input questions required by the user, answer the questions by the artificial intelligent assistant module and finally determine interactive results. That is, the questioner in the interaction process may also be the user. In this case, an operation option for inputting question information of a desired question may be provided, and the user may edit and submit the question of the desired question by himself, at this time, the artificial intelligence assistant module may provide interactive contents for the question according to the keyword, the search result currently displayed, and the received question information, and then determine the optimized keyword information according to the interactive contents for the question. For example, the user asks "how to select a cleaner", and accordingly, the artificial intelligence assistant module may answer the question, and then may determine an optimized keyword through a plurality of questions and answers, etc. In addition, in a specific implementation, the operation options may specifically include an input box, where the user may directly input a question that needs to be asked by the user, or in order to facilitate the user to initiate a question, in addition to providing an input box, an option of prompting question description information may also be provided, for example, "brand", "broken package, etc., where the user may directly initiate a question by selecting the prompting questions, without self-editing, and accordingly, the artificial intelligent assistant module may make a corresponding answer. For example, as shown in FIGS. 3-3, in the context of searching for "coffee," if the user needs to learn a particular "brand" situation, the user may select the "brand" hint question description, so that the artificial intelligence assistant module may provide some known brand of coffee for the user to select, and so on.

In particular, the above-described means for asking questions by the artificial intelligence assistant module, answering the questions by the user, and answering the questions by the artificial intelligence assistant module may be used in combination. For example, as shown in fig. 3-4, in the scenario of searching for "coffee", if the user triggers an interactive search, interactive content may first be provided by the artificial intelligence assistant module, e.g., as shown in fig. 3 (a), some related introductory information such as shopping guides may be provided, etc., the user may select one of the topics for viewing, e.g., what is "what is good coffee", as shown in fig. 3 (b), detailed description about the topic may be further provided, new questions may be introduced during which, e.g., guiding the user to select a coffee category, etc. If the user selects "white coffee" therein, introduction information about the white coffee may also be popped up as shown in fig. 3 (c). Thereafter, if the user has additional questions to ask, a selection may be made via a prompt option or a specific question may be entered. For example, if a user needs to know a particular brand, a selection of "brand" may be made, and the artificial intelligence assistant module provides particular well-known white coffee brand information accordingly. And if the user also needs to only check the commodity supporting the breakage and package, the user can continue to select the corresponding prompting problem description, and the artificial intelligent assistant module can recommend white coffee supporting the breakage and package and of a corresponding brand for the user. In a word, each round of dialogue can make user's demand more clear and more optimize the keyword. In addition, each round of dialogue can further optimize the search result on the basis of the previous round, so that linkage is generated between each round of searches, and the linkage is not isolated any more.

In addition, in addition to optimizing keywords through one or more rounds of questions and answers, the artificial intelligence assistant module may provide the user with some recommendation information, such recommendation information may be, in particular, subject matter object (e.g., specification, place of origin, introduction of characteristics, or actual user experience associated with the initial keyword) information associated with the initial keyword. At this time, the provided interactive content may be topic information including a plurality of topic content objects, and then the user may select a topic of interest of the user, and then the topic content object detail information corresponding to the topic may be displayed. Wherein, in the network sales system, the subject content object may include: and the aggressiveness reference information related to the data object associated with the keyword. Alternatively, it may further include: collocation recommendation information related to the data objects associated with the keywords. Still alternatively, the method may further include a speaker recommendation information of the data object associated with the keyword, wherein the speaker includes: a user for which the experience value of the category for the data object is above a preset threshold, etc. For example, if the keyword searched by the user is "dress", as shown in fig. 4, the recommended subject matter object theme may include "fashion dress collocation", "the most attractive purchaser show", long and nice all in show ", and so on, as shown in fig. 4 (a). After the user selects the first topic, the content displayed in the original search result display area may be content related to the topic as shown in fig. 4 (b). Accordingly, when another topic is selected, the content displayed in the original search result display area may be as shown in fig. 4 (c). That is, in this case, the search result may be optimized in such a manner that the search is not initiated again after the keyword is optimized, but a completely new browsing mode is provided directly through the topic form, rather than adopting a form that a plurality of resource bits in the search result interface are arranged and one data object (commodity graph, etc.) is displayed in each resource bit. For example, under the "fashion apparel collocation" theme, various collocation schemes can be specifically displayed, and so on.

The data object search control system provided by the embodiment of the application is introduced, in the system, the artificial intelligent assistant module is added, and an operation entrance for performing interactive search is provided in the front-end display module, so that a user can more clearly know own requirements through a dialogue with the artificial intelligent assistant module in a search result interface, and the artificial intelligent assistant module can optimize search results according to specific interaction results. By means of the dialogue, the user can express own requirements more actively.

Example two

The second embodiment corresponds to the first embodiment, and from the perspective of a front-end presentation module, a data object search control method is provided, where the front-end presentation module may be located in a client program, and referring to fig. 5, the method may include:

s501: displaying a search result interface, and providing an operation inlet for initiating interactive search in the search result interface;

S502: after receiving an interactive search request through the operation entrance, initiating a call request to an artificial intelligent assistant module to initiate a call request, wherein the call request carries initial keywords and/or displayed search result information;

s503: receiving and displaying the interactive content information returned by the artificial intelligent assistant module;

s504: receiving interaction response information input by a user aiming at the interaction content information, submitting the interaction response information to the artificial intelligent assistant module so that the artificial intelligent assistant module can generate an interaction result according to the user interaction response information, and optimizing the search result according to the interaction result;

s505: and displaying the optimized search result information.

In particular, an interactive area can be provided, and interactive contents provided by the artificial intelligent assistant module and interactive response information input by a user are displayed in the interactive area in a dialogue mode. Specifically, the display window may be divided into a first sub-window and a second sub-window, where the first sub-window is used to display the interaction area, and the second sub-window is used to display the optimized search result information. After the upward sliding operation is detected, the first sub-window can be switched to an upward folding state and displayed in a floating layer mode.

Wherein, particularly when providing an operation portal, an operation portal for initiating an interactive search by means of pulling down at the top of the interface can be provided in the search results interface. Or providing a floating layer in the search result interface, and providing an operation inlet for initiating interactive search by clicking in the floating layer. Or inserting resource bits in the search result interface, and providing the operation entrance for initiating the interactive search in the resource bits.

Example III

The third embodiment also corresponds to the second embodiment, and from the perspective of the artificial intelligent assistant module, a data object search control method is provided, where the artificial intelligent assistant module can be operated at a server side or in a client side. Specifically, referring to fig. 6, the method may specifically include:

s601: receiving a call request submitted by a front-end display module in the process of displaying a target search result interface, wherein the call request carries initial keywords associated with the target search result interface and/or displayed search result information;

s602: generating interactive contents according to the call request and the information carried in the call request, and providing the interactive contents to the front-end display module;

S603: the interactive response information input by the user is obtained through the front-end display module;

s604: and generating an interaction result according to the user interaction response information, and optimizing the search result in the target search result interface according to the interaction result.

Specifically, the interaction result includes: optimized keyword information generated on the basis of the initial keywords; at this time, the search can be restarted according to the optimized keyword information, and updated search results are obtained.

The interaction problem information can be determined according to the keywords and the currently displayed search results; then, the optimized keyword information can be determined according to answer information aiming at the interaction question information.

Specifically, when the interaction problem information is determined, firstly, determining a user intention category to which the initial keyword belongs, wherein the user intention category is expressed according to a data object category and is associated with at least one problem template; and then, selecting a target problem template from the problem templates corresponding to the user intention category according to the information of the displayed search result, and determining the interaction problem information according to the target problem template.

Specifically, when a target problem template is selected, the labels and the like of the displayed search results can be analyzed to judge whether certain commonalities exist; then, a target problem template is selected according to the judgment result.

For example, if each data object in the presented search results has the same tag, a target question template is selected for querying whether the target tag is not needed. If the labels carried by the data objects in the displayed search results are uniformly distributed, a target question template for inquiring whether the current keyword needs to be replaced is selected. If each data object in the displayed search result is respectively provided with a plurality of types of labels, the labels of the same type comprise a plurality of attribute values, a target problem template for inquiring the required attribute values under the labels of the various types is selected. The target question template comprises a plurality of questions and selectable answers corresponding to the questions. The artificial intelligent assistant module can optimize the keywords after each round of interaction is completed, and re-initiate searching, and the searching module can re-search by utilizing the currently optimized keywords on the basis of the previous round of searching in each round of searching process. In addition, the target problem template can also comprise introduction type contents related to the keywords and/or the attribute values. The introduction type content comprises graphic information, audio information or video information.

Another way of generating interactive content may be: providing operation options for inputting question information of a required question; then, according to the keywords, the currently displayed search results and the received question information, determining the interactive content aiming at the questioned question; at this time, the optimized keyword information may be determined according to the interactive content for the questioned question. Wherein the operation options comprise an input box and/or a prompting problem description information option.

Yet another way to generate the interactive content may be to provide, in the interactive region, topic information of a plurality of topic objects related to the keyword according to the keyword and a currently displayed search result; at this time, the interaction result may include: target subject information selected by a user; in this way, particularly when the search results in the target search result interface are optimized, the topic content object detail information corresponding to the target topic can be displayed in the search result interface.

Wherein the subject matter object comprises: and the aggressiveness reference information related to the data object associated with the keyword. Or collocation recommendation information related to the data objects associated with the keywords. Or, the data object associated with the keyword includes a speaker recommendation information, the speaker including: for users for which the experience value of the category of the data object is above a preset threshold. Or, the data object presentation information uploaded by the purchased user of the data object associated with the keyword.

Example IV

The fourth embodiment also corresponds to the first embodiment, and from the perspective of a search module, a data object search control method is provided, where the search module may generally run on a server side, or in some special applications, may also run locally on a terminal device where a client is located, and so on. Specifically, referring to fig. 7, the method may specifically include:

s701: providing search results according to the initial keywords input by the user;

s702: receiving optimized keywords provided by an artificial intelligent assistant module; the optimized keywords are generated according to the interactive content provided by the artificial intelligent assistant module and the interactive response information submitted by the user;

s703: and searching again according to the optimized keywords, and providing updated search results.

The artificial intelligent assistant module performs multiple rounds of interaction with the user, and the optimized keywords comprise optimized keywords generated after each round of interaction is finished; at this time, the optimized keyword may be used to perform searching again based on the previous round of search results.

Example five

As described above, in a specific implementation, each module described in the first embodiment may also operate in the same terminal device, and for this reason, the embodiment of the present application further provides a data object search control method, see fig. 8, where the method specifically may include:

s801: providing a search result interface according to the received initial keywords, and providing an operation inlet for initiating interactive search in the search result interface;

s802: providing an interaction area after receiving an interaction request through the operation inlet, and providing interaction content in the interaction area according to the keywords and the currently displayed search results;

s803: and determining an interaction result, and optimizing a search result according to the interaction result.

Corresponding to the embodiment, the embodiment of the application also provides a data object search control device, see fig. 9, which may include:

the display unit 901 is configured to display a search result interface, and provide an operation entry for initiating an interactive search in the search result interface;

the calling unit 902 is configured to initiate a call request to the artificial intelligent assistant module to initiate a call request after receiving an interactive search request through the operation portal, where the call request carries an initial keyword and/or displayed search result information;

The interactive content display unit 903 is configured to receive and display the interactive content information returned by the artificial intelligent assistant module;

an interactive response information submitting unit 904, configured to receive interactive response information entered by a user for the interactive content information, and submit the interactive response information to the artificial intelligent assistant module, so that the artificial intelligent assistant module generates an interactive result according to the user interactive response information, and optimizes the search result according to the interactive result;

the display unit 901 is further configured to display the optimized search result information.

In particular, the apparatus may further include:

the interactive area providing unit is used for providing an interactive area, and displaying the interactive content provided by the artificial intelligent assistant module and the interactive response information input by the user in the interactive area in a dialogue mode.

Wherein, the interaction region providing unit may specifically be used for: dividing the display window into a first sub-window and a second sub-window which are distributed up and down, wherein the first sub-window is used for displaying the interaction area, and the second sub-window is used for displaying the optimized search result information.

In addition, the apparatus may further include:

and the stowing processing unit is used for switching the first sub-window into an upward stowing state after detecting the upward sliding operation and displaying in a floating layer mode.

In a specific implementation, the display unit may specifically be configured to:

an operation portal is provided in the search results interface for initiating an interactive search by pulling down at the top of the interface.

Or alternatively, the process may be performed,

providing a floating layer in the search result interface, and providing an operation inlet for initiating interactive search by clicking in the floating layer.

Or alternatively, the process may be performed,

inserting resource bits in the search result interface, and providing the operation entrance for initiating the interactive search in the resource bits.

Corresponding to the embodiment, the embodiment of the application further provides a data object search control device, referring to fig. 10, where the device specifically may include:

the call request receiving unit 1001 is configured to receive a call request submitted by a front-end display module in a process of displaying a target search result interface, where the call request carries an initial keyword and/or displayed search result information associated with the target search result interface;

An interactive content generating unit 1002, configured to generate interactive content according to the call request and information carried therein, and provide the interactive content to the front-end display module;

an interactive response information obtaining unit 1003, configured to obtain interactive response information entered by a user through the front-end display module;

and the optimizing unit 1004 is configured to generate an interaction result according to the user interaction response information, and optimize the search result in the target search result interface according to the interaction result.

In specific implementation, the interaction result includes: optimized keyword information generated on the basis of the initial keywords;

wherein, the optimizing unit specifically can be used for:

and re-initiating searching according to the optimized keyword information to obtain updated searching results.

In one manner, the interactive content generating unit may specifically be configured to: determining interaction problem information according to the keywords and the currently displayed search results;

the optimization unit may specifically be configured to: and determining the optimized keyword information according to the answer information aiming at the interaction question information.

In a more specific implementation manner, the interactive content generating unit may specifically include:

A user intention category determination subunit, configured to determine a user intention category to which the initial keyword belongs, where the user intention category is expressed according to a data object category and associated with at least one question template;

and the template selection subunit is used for selecting a target problem template from the problem templates corresponding to the user intention category according to the information of the displayed search result, and determining the interaction problem information according to the target problem template.

The template selecting subunit may specifically include:

the label analysis unit is used for analyzing labels and the like of the displayed search results and judging whether certain commonalities exist or not;

and the selecting subunit is used for selecting the target problem template according to the judging result.

In particular, the selecting subunit may be configured to select, if each data object in the presented search result has a same certain tag, a target question template for querying whether the target tag is not required. Or if the labels carried by the data objects in the displayed search results are uniformly distributed, selecting a target problem template for inquiring whether the current keyword needs to be replaced. Or if each data object in the displayed search result is respectively provided with a plurality of types of labels, and the like labels comprise a plurality of attribute values, selecting a target problem template for inquiring the attribute values required under the various labels.

The target question template can comprise a plurality of questions and selectable answers corresponding to each question. In addition, the target problem template can also comprise introduction type contents related to the keywords and/or the attribute values. Wherein, the introduction type content comprises graphic information, audio information or video information.

In another manner, the interactive content generating unit may specifically include:

an operation option providing subunit for providing operation options for inputting question information of a required question;

the interactive content determining subunit is used for determining the interactive content aiming at the questioned questions according to the keywords, the currently displayed search results and the received question information;

the optimization unit may specifically be configured to:

and determining the optimized keyword information according to the interactive content aiming at the questioned problem.

Wherein the operation options comprise an input box and/or a prompting problem description information option.

Furthermore, the interactive content generation unit may be further configured to:

providing topic information of a plurality of topic content objects related to the keywords in the interaction area according to the keywords and the currently displayed search results;

At this time, the interaction result may include: target subject information selected by a user;

the optimization unit may specifically be configured to:

and displaying the topic content object detail information corresponding to the target topic in the search result interface.

Corresponding to the fourth embodiment, the embodiment of the present application further provides a data object search control device, referring to fig. 11, where the device specifically may include:

a search result providing unit 1101 for providing search results according to an initial keyword input by a user;

an optimization information receiving unit 1102, configured to receive the optimized keyword provided by the artificial intelligence assistant module; the optimized keywords are generated according to the interactive content provided by the artificial intelligent assistant module and the interactive response information submitted by the user;

And a re-searching unit 1103, configured to re-search according to the optimized keyword, and provide updated search results.

The artificial intelligent assistant module performs multiple rounds of interaction with the user, and the optimized keywords comprise optimized keywords generated after each round of interaction is finished;

the re-search unit may specifically be configured to: and searching again based on the previous search result by utilizing the optimized keyword.

Corresponding to the fifth embodiment, the embodiment of the present application further provides a data object search control device, referring to fig. 12, where the device specifically may include:

an operation portal providing unit 1201 for providing a search result interface according to the received initial keyword, and providing an operation portal for initiating an interactive search in the search result interface;

an interaction unit 1202, configured to provide an interaction area after receiving an interaction request through the operation portal, and provide interaction content in the interaction area according to the keyword and a currently displayed search result;

the optimizing unit 1203 is configured to determine an interaction result, and optimize a search result according to the interaction result.

In addition, the embodiment of the application also provides electronic equipment, which comprises:

one or more processors; and

In which fig. 13 illustrates an architecture of an electronic device, for example, device 1300 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, an exercise device, a personal digital assistant, an aircraft, and so forth.

Referring to fig. 13, a device 1300 may include one or more of the following components: a processing component 1302, a memory 1304, a power component 1306, a multimedia component 1308, an audio component 1310, an input/output (I/O) interface 1312, a sensor component 1314, and a communication component 1316.

The processing component 1302 generally controls overall operation of the device 1300, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing element 1302 may include one or more processors 1320 to execute instructions to generate a traffic compression request when a preset condition is met in the video playing method provided in the technical solution of the present disclosure, and send the traffic compression request to the server, where the traffic compression request records information for triggering the server to obtain a target attention area, and the traffic compression request is used to request the server to preferentially guarantee a code rate of video content in the target attention area; and playing the video content corresponding to the code stream file according to the code stream file returned by the server, wherein the code stream file is all or part of the video file obtained by the server performing code rate compression processing on the video content outside the target attention area according to the flow compression request. Further, the processing component 1302 can include one or more modules that facilitate interactions between the processing component 1302 and other components. For example, processing component 1302 can include multimedia modules to facilitate interactions between multimedia component 1308 and processing component 1302.

The memory 1304 is configured to store various types of data to support operations at the device 1300. Examples of such data include instructions for any application or method operating on device 1300, contact data, phonebook data, messages, pictures, video, and the like. The memory 1304 may be implemented by any type or combination of volatile or nonvolatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk.

The power supply assembly 1306 provides power to the various components of the device 1300. The power components 1306 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the device 1300.

The multimedia component 1308 includes a screen between the device 1300 and the user that provides an output interface. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from a user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensor may sense not only the boundary of a touch or sliding action, but also the duration and pressure associated with the touch or sliding operation. In some embodiments, the multimedia component 1308 includes a front-facing camera and/or a rear-facing camera. The front camera and/or the rear camera may receive external multimedia data when the device 1300 is in an operational mode, such as a shooting mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have focal length and optical zoom capabilities.

The audio component 1310 is configured to output and/or input audio signals. For example, the audio component 1310 includes a Microphone (MIC) configured to receive external audio signals when the device 1300 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may be further stored in the memory 1304 or transmitted via the communication component 1316. In some embodiments, the audio component 1310 also includes a speaker for outputting audio signals.

The I/O interface 1312 provides an interface between the processing component 1302 and peripheral interface modules, which may be a keyboard, click wheel, buttons, etc. These buttons may include, but are not limited to: homepage button, volume button, start button, and lock button.

The sensor assembly 1314 includes one or more sensors for providing status assessment of various aspects of the device 1300. For example, the sensor assembly 1314 may detect the on/off state of the device 1300, the relative positioning of the components, such as the display and keypad of the device 1300, the sensor assembly 1314 may also detect a change in position of the device 1300 or a component of the device 1300, the presence or absence of user contact with the device 1300, the orientation or acceleration/deceleration of the device 1300, and a change in temperature of the device 1300. The sensor assembly 1314 may include a proximity sensor configured to detect the presence of nearby objects in the absence of any physical contact. The sensor assembly 1314 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 1314 may also include an acceleration sensor, a gyroscopic sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

The communication component 1316 is configured to facilitate communication between the device 1300 and other devices, either wired or wireless. The device 1300 may access a wireless network based on a communication standard, such as WiFi,2G or 3G, or a combination thereof. In one exemplary embodiment, the communication part 1316 receives a broadcast signal or broadcast-related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 1316 further includes a Near Field Communication (NFC) module to facilitate short range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, ultra Wideband (UWB) technology, bluetooth (BT) technology, and other technologies.

In an exemplary embodiment, the apparatus 1300 may be implemented by one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital Signal Processing Devices (DSPDs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic elements for executing the methods described above.

In an exemplary embodiment, there is further provided a non-transitory computer readable storage medium including instructions, for example, a memory 1304 including instructions, where the instructions are executable by a processor 1320 of the apparatus 1300 to complete a method for video playing provided in the technical solution of the present disclosure, when a preset condition is met, generate a traffic compression request, and send the traffic compression request to a server, where information for triggering the server to obtain a target attention area is recorded in the traffic compression request, and the traffic compression request is used to request the server to preferentially guarantee a code rate of video content in the target attention area; and playing video contents corresponding to the code stream file according to the code stream file returned by the server, wherein the code stream file is a video file obtained by the server performing code rate compression processing on the video contents outside the target attention area according to the flow compression request. For example, the non-transitory computer readable storage medium may be ROM, random Access Memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, etc.

From the above description of embodiments, it will be apparent to those skilled in the art that the present application may be implemented in software plus a necessary general purpose hardware platform. Based on such understanding, the technical solutions of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to perform the methods described in the embodiments or some parts of the embodiments of the present application.

In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for a system or system embodiment, since it is substantially similar to a method embodiment, the description is relatively simple, with reference to the description of the method embodiment being made in part. The systems and system embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.

The above detailed description of the method, device and system for controlling data object search provided by the present application applies specific examples to illustrate the principles and embodiments of the present application, where the above description of the examples is only used to help understand the method and core idea of the present application; also, as will occur to those of ordinary skill in the art, many modifications are possible in view of the teachings of the present application, both in the detailed description and the scope of its applications. In view of the foregoing, this description should not be construed as limiting the application.

Claims

1. A data object search control system, comprising:

the artificial intelligent assistant module is used for generating interaction content according to the calling request and the information carried in the calling request, acquiring interaction response information input by a user through the front-end display module, generating an interaction result according to the user interaction response information, and optimizing the search result according to the interaction result;

The artificial intelligent assistant module is further used for determining a user intention category to which the initial keyword belongs, wherein the user intention category is expressed according to a data object category and is associated with at least one problem template; analyzing the label of the displayed search result to judge whether a certain commonality exists; and selecting a target problem template according to the judging result.

2. The system of claim 1, wherein the system further comprises a controller configured to control the controller,

the front end display module is further configured to: and providing an interaction area, and displaying the interaction content provided by the artificial intelligent assistant module and the interaction response information input by a user in the interaction area in a dialogue mode.

3. The system of claim 2, wherein the system further comprises a controller configured to control the controller,

the front-end display module is specifically configured to, when providing the interaction region: dividing the display window into a first sub-window and a second sub-window which are distributed up and down, wherein the first sub-window is used for displaying the interaction area, and the second sub-window is used for displaying the optimized search result information.

4. The system of claim 1, wherein the system further comprises a controller configured to control the controller,

the interaction result comprises: optimized keyword information generated on the basis of the initial keywords;

The artificial intelligence assistant module is specifically used for:

reinitiating searching to the searching module according to the optimized keyword information;

the front-end display module is further configured to provide updated search results in a search result display area of the interface.

5. The system of claim 4, wherein the system further comprises a controller configured to control the controller,

the artificial intelligent assistant module is specifically used for providing interactive contents: providing interaction problem information according to the keywords and/or the displayed search results, and determining the optimized keyword information according to interaction response information aiming at the interaction problem information.

6. The system of claim 5, wherein the system further comprises a controller configured to control the controller,

the artificial intelligent assistant module performs multiple rounds of interaction with the user, wherein the optimized keywords comprise optimized keywords generated after each round of interaction is finished;

the search module is further configured to:

and searching again based on the previous search result by utilizing the optimized keyword.

7. The system of claim 1, wherein the system further comprises a controller configured to control the controller,

the artificial intelligence assistant module is specifically used for:

providing topic information of a plurality of topic content objects related to the keywords according to the keywords and/or the displayed search results; the interaction result comprises: target subject information selected by a user;

The front-end display module is further used for displaying the topic object detail information corresponding to the target topic in a search result display area of the interface.

8. A data object search control method, comprising:

displaying the optimized search result information;

the artificial intelligent assistant module generates an interaction result according to the user interaction response information, and the artificial intelligent assistant module comprises:

Determining a user intention category to which the initial keyword belongs, wherein the user intention category is expressed according to a data object category and is associated with at least one problem template;

analyzing the label of the displayed search result to judge whether a certain commonality exists;

and selecting a target problem template according to the judging result.

9. The method as recited in claim 8, further comprising:

and providing an interaction area, and displaying the interaction content provided by the artificial intelligent assistant module and the interaction response information input by a user in the interaction area in a dialogue mode.

10. The method of claim 9, wherein the step of determining the position of the substrate comprises,

the providing an interaction zone includes:

dividing the display window into a first sub-window and a second sub-window which are distributed up and down, wherein the first sub-window is used for displaying the interaction area, and the second sub-window is used for displaying the optimized search result information.

11. The method as recited in claim 10, further comprising:

and after the upward sliding operation is detected, switching the first sub-window into an upward folding state, and displaying in a floating layer mode.

12. The method of claim 8, wherein the step of determining the position of the first electrode is performed,

the providing an operation portal for initiating an interactive search in the search result interface comprises:

13. The method of claim 8, wherein the step of determining the position of the first electrode is performed,

14. The method of claim 8, wherein the step of determining the position of the first electrode is performed,

15. A data object search control method, comprising:

generating an interaction result according to the user interaction response information, and optimizing a search result in the target search result interface according to the interaction result;

the generating interactive content according to the call request and the information carried therein includes:

and selecting a target problem template according to the judging result.

16. The method of claim 15, wherein the step of determining the position of the probe is performed,

the optimizing the search result in the target search result interface according to the interaction result comprises the following steps:

17. The method of claim 16, wherein the step of determining the position of the probe comprises,

determining interaction problem information according to the keywords and the currently displayed search results;

determining the interaction result comprises the following steps:

and determining the optimized keyword information according to the answer information aiming at the interaction question information.

18. The method of claim 15, wherein the step of determining the position of the probe is performed,

the selecting the target problem template according to the judging result comprises the following steps:

if each data object in the presented search results has the same tag, a target question template is selected for querying whether the target tag is not required.

19. The method of claim 15, wherein the step of determining the position of the probe is performed,

if the labels carried by the data objects in the displayed search results are uniformly distributed, a target question template for inquiring whether the current keyword needs to be replaced is selected.

20. The method of claim 15, wherein the step of determining the position of the probe is performed,

If each data object in the displayed search result is respectively provided with a plurality of types of labels, the labels of the same type comprise a plurality of attribute values, a target problem template for inquiring the required attribute values under the labels of the various types is selected.

21. The method of claim 20, wherein the step of determining the position of the probe is performed,

the target question template comprises a plurality of questions and selectable answers corresponding to each question.

22. The method of claim 20, wherein the step of determining the position of the probe is performed,

the target problem template comprises introduction type contents related to the keywords and/or the attribute values.

23. The method of claim 22, wherein the step of determining the position of the probe is performed,

the introduction type content comprises graphic information, audio information or video information.

24. The method of claim 16, wherein the step of determining the position of the probe comprises,

providing operation options for inputting question information of a required question;

determining the interactive content aiming at the questioned questions according to the keywords, the currently displayed search results and the received question information;

the generating an interaction result according to the user interaction response information comprises the following steps:

25. The method of claim 24, wherein the step of determining the position of the probe is performed,

the operation options include an input box and/or a prompt question description information option.

26. The method of claim 15, wherein the step of determining the position of the probe is performed,

providing topic information of a plurality of topic content objects related to the keywords in an interaction area according to the keywords and the currently displayed search results;

the interaction result comprises: target subject information selected by a user;

27. The method of claim 26, wherein the step of determining the position of the probe is performed,

the subject content object comprises: and the aggressiveness reference information related to the data object associated with the keyword.

28. The method of claim 26, wherein the step of determining the position of the probe is performed,

the subject content object comprises: collocation recommendation information related to the data objects associated with the keywords.

29. The method of claim 26, wherein the step of determining the position of the probe is performed,

the subject content object comprises: a rater recommendation information for a data object associated with the keyword, the rater comprising: for users for which the experience value of the category of the data object is above a preset threshold.

30. The method of claim 26, wherein the step of determining the position of the probe is performed,

the subject content object comprises: and the data object display information uploaded by the purchased user of the data object associated with the keyword.

31. A data object search control method, comprising:

providing search results according to the initial keywords input by the user;

receiving optimized keywords provided by an artificial intelligent assistant module; the optimized keywords are generated according to the interactive content provided by the artificial intelligent assistant module and the interactive response information submitted by the user; the interactive contents include: analyzing the label of the displayed search result, judging whether a certain commonality exists or not, and selecting a target problem template according to the judgment result;

32. The method of claim 31, wherein the step of determining the position of the probe is performed,

and searching again according to the optimized keywords, wherein the searching comprises the following steps:

33. A data object search control method, comprising:

determining an interaction result, and optimizing a search result according to the interaction result;

and providing interactive contents in the interactive area according to the keywords and the currently displayed search results, wherein the interactive contents comprise:

determining a user intention category to which the keyword belongs, wherein the user intention category is expressed according to a data object category and is associated with at least one problem template;

and selecting a target problem template according to the judging result.

34. A data object search control apparatus, comprising:

the display unit is also used for displaying the optimized search result information;

and selecting a target problem template according to the judging result.

35. A data object search control apparatus, comprising:

the optimizing unit is used for generating an interaction result according to the user interaction response information and optimizing the search result in the target search result interface according to the interaction result;

The interactive content generating unit is further used for determining a user intention category to which the initial keyword belongs, wherein the user intention category is expressed according to a data object category and is associated with at least one problem template; analyzing the label of the displayed search result to judge whether a certain commonality exists; and selecting a target problem template according to the judging result.

36. A data object search control apparatus, comprising:

the optimization information receiving unit is used for receiving the optimized keywords provided by the artificial intelligent assistant module; the optimized keywords are generated according to the interactive content provided by the artificial intelligent assistant module and the interactive response information submitted by the user; the interactive contents include: analyzing the label of the displayed search result, judging whether a certain commonality exists or not, and selecting a target problem template according to the judgment result;

37. A data object search control apparatus, comprising:

the optimizing unit is used for determining an interaction result and optimizing a search result according to the interaction result;

the interaction unit is further used for determining a user intention category to which the keyword belongs, wherein the user intention category is expressed according to the data object category and is associated with at least one problem template; and analyzing the label of the displayed search result, judging whether a certain commonality exists or not, and selecting a target problem template according to the judging result.

38. An electronic device, comprising:

one or more processors; and

and selecting a target problem template according to the judging result.