CN112905674A - Information sorting method and device - Google Patents
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Abstract
The disclosure provides an information sorting method and device. The method comprises the following steps: the method comprises the steps of obtaining search information input through a global search application, obtaining at least one piece of relevant information relevant to the search information, responding to the obtained more than two pieces of relevant information, combining information use data of a local user and a network user, sequencing the more than two pieces of relevant information, and optimizing an information sequencing result.
Description
Technical Field
The present disclosure relates to the field of computer communications technologies, and in particular, to an information sorting method and apparatus.
Background
The global search application is a native application hosted by the android system. The main work is as follows: receiving search information input by a user, sending the search information to an application program supporting global search, executing search operation by the application program according to the search information, and returning an information search result to the global search application.
In the related art, the number of times of use of information search results is determined according to search behavior data of a local user in a global search application, and the information search results with the large number of times of use are ranked in front. The information sorting method in the related art is relatively single.
Disclosure of Invention
In order to overcome the problems in the related art, the present disclosure provides an information sorting method and apparatus.
According to a first aspect of the embodiments of the present disclosure, there is provided an information sorting method applied to a terminal, the method including:
acquiring search information input through a global search application;
acquiring at least one piece of related information related to the search information;
and in response to the acquisition of more than two pieces of related information, combining the information use data of the local user and the network user, and sequencing the more than two pieces of related information.
Optionally, the sorting the two or more pieces of related information by using the data in combination with the information of the local user and the network user includes:
acquiring a weight set corresponding to each piece of relevant information, wherein the weight value of the weight in the weight set is positively correlated with the data value of the information use data of the corresponding relevant information;
and sequencing the more than two pieces of relevant information according to the weight sets corresponding to the more than two pieces of relevant information respectively.
Optionally, the weight set corresponding to a piece of related information includes at least one of: a weight set for a category of a provider of the related information, a weight set for the provider being clicked, a weight set for the related information being clicked, a weight set for a search behavior into a target application by clicking the related information;
wherein the provider comprises: a search term in the global search application or an application other than the global search application.
Optionally, the weight set for the category of the provider includes any one of: the weight determined according to the use heat of the provider, the authority of the provider, and the use heat and the authority of the provider;
the weight set for the related information includes any one of: the weight determined according to the use degree of the related information, the weight determined according to the authority of the publisher of the related information, the weight determined according to the text relevance of the related information and the search information, and the weight determined according to at least two of the use degree of the related information, the authority of the related information and the text relevance.
Optionally, the sorting the more than two pieces of relevant information according to the weight sets corresponding to the more than two pieces of relevant information respectively includes:
inputting the weight set corresponding to each piece of relevant information into a click rate pre-estimation network, so that the click rate pre-estimation network outputs the pre-estimated click rate of each piece of relevant information according to the weight set corresponding to each piece of relevant information;
and sequencing the more than two pieces of relevant information according to the estimated click rate of the more than two pieces of relevant information.
Optionally, the sorting the more than two pieces of relevant information according to the weight sets corresponding to the more than two pieces of relevant information respectively includes:
determining a weight statistic corresponding to a provider of each piece of relevant information;
sequencing more than two providers according to the weight statistic values corresponding to the providers respectively;
determining a weight statistic value corresponding to each piece of relevant information aiming at N pieces of relevant information provided by the same provider, wherein N is a positive integer;
sorting the N pieces of relevant information according to the weight statistic values corresponding to the N pieces of relevant information respectively;
and sequencing the more than two pieces of related information according to the sequencing results of the more than two providers and the sequencing results of the N pieces of related information provided by the same provider.
Optionally, the method further comprises:
and acquiring a weight set corresponding to each piece of relevant information from the server.
Optionally, the obtaining of multiple pieces of related information related to the search information includes:
responding to the situation that the terminal and a server are not networked, and acquiring related information related to the search information from the global search application and a system application installed in the terminal;
and responding to networking of the terminal and a server, and acquiring relevant information related to the search information from the server, the global search application and the system application.
According to a second aspect of the embodiments of the present disclosure, there is provided an information sorting apparatus applied to a terminal, the apparatus including:
a search information acquisition module configured to acquire search information input through a global search application;
a related information acquisition module configured to acquire at least one piece of related information related to the search information;
and the related information sequencing module is configured to respond to the acquired more than two pieces of related information and combine the information use data of the local user and the network user to sequence the more than two pieces of related information.
Optionally, the related information sorting module includes:
the weight set acquisition sub-module is configured to acquire a weight set corresponding to each piece of relevant information, and the weight value of the weight in the weight set is positively correlated with the data value of the information use data of the corresponding relevant information;
and the related information ordering submodule is configured to order the more than two pieces of related information according to the weight sets corresponding to the more than two pieces of related information respectively.
Optionally, the weight set corresponding to a piece of related information includes at least one of: a weight set for a category of a provider of the related information, a weight set for the provider being clicked, a weight set for the related information being clicked, a weight set for a search behavior into a target application by clicking the related information;
wherein the provider comprises: a search term in the global search application or an application other than the global search application.
Optionally, the weight set for the category of the provider includes any one of: the weight determined according to the use heat of the provider, the authority of the provider, and the use heat and the authority of the provider;
the weight set for the related information includes any one of: the weight determined according to the use degree of the related information, the weight determined according to the authority of the publisher of the related information, the weight determined according to the text relevance of the related information and the search information, and the weight determined according to at least two of the use degree of the related information, the authority of the related information and the text relevance.
Optionally, the related information sorting sub-module includes:
the information input unit is configured to input the weight set corresponding to each piece of relevant information into a click rate pre-estimation network, so that the click rate pre-estimation network outputs the pre-estimated click rate of each piece of relevant information according to the weight set corresponding to each piece of relevant information;
and the information sorting unit is configured to sort the more than two pieces of relevant information according to the estimated click rate of the more than two pieces of relevant information.
Optionally, the related information sorting sub-module includes:
a statistic value determination unit configured to determine a weight statistic value corresponding to a provider of each piece of related information;
the provider ordering unit is configured to order the two or more providers according to the weight statistic values corresponding to the two or more providers;
the weight statistic value determining unit is configured to determine a weight statistic value corresponding to each piece of relevant information aiming at N pieces of relevant information provided by the same provider, wherein N is a positive integer;
the first related information sorting unit is configured to sort the N pieces of related information according to the weight statistic values corresponding to the N pieces of related information respectively;
and the second related information sorting unit is configured to sort the more than two pieces of related information according to the sorting results of the more than two providers and the sorting results of the N pieces of related information provided by the same provider.
Optionally, the apparatus further comprises:
and the weight set acquisition module is configured to acquire a weight set corresponding to each piece of relevant information from the server.
Optionally, the related information obtaining module includes:
a first information acquisition sub-module configured to acquire relevant information related to the search information from the global search application and a system application installed in the terminal in response to the terminal and a server not being networked;
and the second information acquisition sub-module is configured to respond to the networking of the terminal and a server and acquire relevant information related to the search information from the server, the global search application and the system application.
According to a third aspect of embodiments of the present disclosure, there is provided a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method of any one of the above first aspects.
According to a fourth aspect of the embodiments of the present disclosure, there is provided an electronic apparatus including:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to:
acquiring search information input through a global search application;
acquiring at least one piece of related information related to the search information;
and in response to the acquisition of more than two pieces of related information, combining the information use data of the local user and the network user, and sequencing the more than two pieces of related information.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects:
the embodiment of the disclosure provides a novel information sorting method, which is characterized in that after search information input by global search application is acquired, at least one piece of relevant information relevant to the search information is acquired, and in response to the acquisition of more than two pieces of relevant information, the two pieces of relevant information are sorted by combining information use data of a local user and a network user, so that an information sorting result is optimized.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
FIG. 1 is a flow diagram illustrating a method of ordering information in accordance with an exemplary embodiment;
FIG. 2 is a block diagram illustrating an information ranking apparatus according to an exemplary embodiment;
fig. 3 is a schematic structural diagram of an electronic device according to an exemplary embodiment.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
The terminology used in the present disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. As used in this disclosure and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
It is to be understood that although the terms first, second, third, etc. may be used herein to describe various information, such information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present disclosure. The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination", depending on the context.
The electronic equipment is provided with a global search application and a setting item application, and the global search application can acquire setting item information in the setting item application. The method provided by the embodiment of the disclosure can be applied to electronic equipment, and particularly can be applied to global search application in the electronic equipment.
Fig. 1 is a flowchart illustrating an information sorting method according to an exemplary embodiment, where the method is applied to a terminal, and the method illustrated in fig. 1 includes:
in step 101, search information input through a global search application is acquired.
And a global search application is installed in the terminal. An input box of the global search application can be displayed on a desktop of the terminal, and a user can input search information in the input box, so that the global search application can search information according to the search information. An input box of the global search application can be presented in other places besides the desktop, so that a user can input search information.
In step 102, at least one piece of related information related to the search information is acquired.
In one embodiment, some search terms are set in the global search application, such as application, settings, application functions, contacts, notes, and the like.
The global search application stores data of some search terms, for example, data of search terms such as applications, settings, application functions, and the like, each search term includes at least one search term entry, and information included in one search term entry may be used as one piece of related information.
After the terminal (which may be a terminal including a global search application) acquires the search information, the terminal may acquire related information related to the search information from the global search application, so as to locally acquire the related information from the client.
For example, the search term application includes two search term entries, one search term entry includes millennium information and the other search term entry includes millennium information, and when the search information is millennium, the global search application acquires the millennium and the millennium related to the millennium from the self application.
The system application is installed in the client, some information is stored in the system application and global search is supported, and the terminal can acquire relevant information related to the search information from the system application after acquiring the search information, so that the relevant information can be acquired from the client locally. The system application can be applications such as a contact application, a short message application and a note application. For example, the contact application stores a contact name and a telephone number, and when the search information is millet, the global search application may obtain the contact name (i.e., related information) containing the millet from the contact application.
In the case where the terminal and the server are not networked, the terminal may acquire related information related to the search information from the global search application and the system application.
In the case that the terminal is networked with the server, the terminal may send search information to the server, so that the server performs a search according to the search information, obtains related information related to the search information, and sends the related information to the terminal. Specifically, the global search application may send the search information to a front end in the terminal, and the front end sends the search information to the server, receives the related information returned by the server, and sorts the related information. In this case, the client may obtain relevant information related to the search information from the server, the global search application, and the system application.
In this embodiment, in the case that the terminal and the server are networked, the terminal may obtain the relevant information from the server, and compared with obtaining the relevant information only locally from the client, the variety of the relevant information is enriched.
In one embodiment, the terminal may perform preprocessing on the search information after acquiring the search information, for example, complex and simple conversion, word loss processing, pinyin conversion, intention analysis, error correction, and the like, and perform searching using the preprocessed search information, so that the search result is more accurate and meets the intention of the user.
The global search application may pre-process the search information after the search information is acquired, and perform a search using the pre-processed search information.
In an embodiment, after performing a first search according to the search information, if the search result does not meet the requirement, for example, the search result is empty or the number of the searched related information is too small, the terminal may relax the search restriction to perform a second search, and obtain a search result meeting the requirement.
In step 103, in response to acquiring more than two pieces of related information, the two pieces of related information are sorted in combination with the information usage data of the local user and the network user.
Network users include users in the network other than the native user.
The information usage data of the local user includes data of usage-related information of the local user, and the information usage data of the network user includes data of usage-related information of the network user. The information usage data may include at least one of: the number of times the information is used, the frequency of use of the information, the number of people using the information, etc.
In one embodiment, each piece of related information corresponds to a weight set, and the weight values of the weights in the weight set are positively correlated with the data values of the information usage data of the corresponding related information. The larger the data value of the information usage data of the related information is, the larger the weight value of the weight corresponding to the related information is.
For example, the related information includes two search terms, which are a contact and a note, respectively, the server performs statistics and analysis on the use condition of the terminal by a large number of users, and if it is determined that the use times of the search term contact in the global search application is greater than the use times of the search term note within a preset time period, it is determined that the weight set for the search term contact is greater than the weight set for the search term note.
Based on this, the terminal combines the information use data of the local user and the network user to perform the operation of sequencing more than two pieces of related information, and the method can be realized by the following modes: firstly, acquiring a weight set corresponding to each piece of relevant information; and secondly, sequencing the more than two pieces of relevant information according to the weight sets corresponding to the more than two pieces of relevant information respectively.
In the implementation process, the global search application may send the more than two pieces of relevant information and the respective corresponding weight sets to the front end after acquiring the more than two pieces of relevant information and the respective corresponding weight sets, so that the front end sorts the more than two pieces of relevant information according to the respective corresponding weight sets of the more than two pieces of relevant information.
In one embodiment, the provider of the case and the related information may be a search term in a global search application, and the category of the search term in the global search application may be: applications, settings, contacts, notes, application functions, mail, etc. Each search term includes at least one search term entry, e.g., a search term application includes two search term entries, respectively, a millet mall and a millet; the search term contacts include a plurality of search term entries, contact a, contact B, contact C, and so on. Information contained in a search term entry may serve as a piece of relevant information.
In another case, the provider of the related information may be an application other than the global search application, and the application may be classified into a third party application, a specific application, and the like.
The third party application may be a shopping application, an instant chat application, and the like, wherein the shopping application may be a Jingdong application, a Mei Tuo application, a Taobao application, and the like. Application identifications of specific applications belonging to the third party application may be used as the relevant information.
The specific application refers to an application capable of displaying search prompt information after inputting search information in an input box, for example, an application such as a hundredth application or a google application. The search prompt information displayed by the specific application is related to the search information, and the search prompt information can be used as the related information.
Information such as related information and a category of a provider can be identified using NLP (Natural language processing) technology.
Based on this, the weight set corresponding to a piece of related information may include at least one of the following: the weight set for the category of the provider of the related information, the weight set for the provider being clicked, the weight set for the related information being clicked, the weight set for the search behavior by clicking on the related information into the target application.
Wherein the weight set for the category of the provider may include any one of: the weight determined according to the use degree of the provider, the authority of the provider, and the use degree and authority of the provider.
The provider usage heat may include any one of the following, divided according to the user category of the provider usage: the usage heat of the provider by the local user, the usage heat of the provider by the network user, and the usage heat of the provider by the local user and the network user.
There are various bases for determining the use heat of the provider, for example, at least one of the number of uses of the provider, the frequency of use of the provider, the number of persons using the provider, and the like.
The manner in which the provider is used is described below by way of example: when the provider is a search term, the user uses the search term by clicking the search term when the global search application displays the search term; when the provider is a third party application, one way is to: when the global search application displays the identifier of the third-party application, the user uses the third-party application by clicking the application identifier of the third-party application, and the other mode is as follows: displaying an application icon of a third-party application on a desktop of the client, and using the third-party application by clicking the application icon on the desktop by a user; when the provider is a particular application, the particular application is used in a manner similar to the manner in which third party applications are used.
For the authority of the provider, the authority of the provider is usually positively correlated with the weight value of the weight. For example, the two providers are an official application and an unofficial application, respectively, because the authority of the official application is higher than the authority of the unofficial application, the weight value set for the official application is larger than the weight value set for the unofficial application.
For the weight set by the provider clicked, the data value clicked by the provider is normally positively correlated with the weight value of the weight, and the data value may be the number of times or the frequency. For example, for the setting item contact and the application function, since the contact is clicked more times than the application function, the weight value set for the contact is greater than the weight value set for the application function.
The weight set for the related information may include at least one of: the weight determined according to the degree of use of the related information, the weight determined according to the authority of the publisher of the related information, the weight determined according to the text relevance of the related information and the search information, the weight determined according to at least two of the degree of use of the related information, the authority of the information item and the text relevance.
For the usage heat of the related information, the usage heat of the related information may include at least one of: the number of times, frequency, etc. the relevant information is used. In some scenarios, the related information is used may be understood as the related information being clicked, the related information being searched, and the like.
The usage heat of the related information may include any one of the following items, divided according to the user category using the related information: the usage heat of the local user to the related information, the usage heat of the network user to the related information, and the usage heat of the local user and the network user to the related information.
There are various bases for determining the usage heat of the related information, for example, at least one of the number of times of use of the related information, the frequency of use of the related information, the number of persons using the related information, and the like.
When the global search application displays the related information, the user causes the related information to be used by clicking the related information displayed by the global search application. When a user opens an application by clicking an application icon on a desktop and causes the application to search and display related information by inputting search information in an input box of an application page, the user causes the related information to be used by clicking the related information displayed on the application page.
The publisher of the related information may be a website, an organization, etc. Usually, the authority of the publisher is positively correlated with the weight value of the weight. For example, one piece of related information is central news, and the other piece of related information is entertainment news, because the authority of the central news is higher than that of the entertainment news, the weight value set for the central news is greater than that set for the entertainment news.
Regarding the text relevance between the related information and the search information, the level of the text relevance is usually positively correlated with the weight value of the weight.
For search behavior that enters the target application by clicking on relevant information, the search behavior may include at least one of: entering search terms in the target application, clicking search keys, clicking search results, etc. The relevant information may be an application identification of the target application, such as an application name. Usually, the occurrence frequency of the search behavior is positively correlated with the weight value of the weight, and the occurrence frequency of the search behavior is positively correlated with the weight value of the weight.
The weight set corresponding to the related information can be determined by adopting the method in the embodiment, and the data content of the weight set is enriched.
In one embodiment, a click rate pre-estimation network exists, the input of the click rate pre-estimation network is a weight set corresponding to the relevant information, the input of the click rate pre-estimation network is the probability that the relevant information is clicked, and the click rate pre-estimation network can pre-estimate the probability that the relevant information is clicked according to the weight set corresponding to the relevant information.
Based on this, the operation of sorting the two or more pieces of relevant information according to the weight sets corresponding to the two or more pieces of relevant information can be realized by the following modes: firstly, inputting a weight set corresponding to each piece of relevant information into a click rate pre-estimation network, and enabling the click rate pre-estimation network to output the pre-estimated click rate of each piece of relevant information according to the weight set corresponding to each piece of relevant information; and secondly, sequencing the more than two pieces of relevant information according to the estimated click rate of the more than two pieces of relevant information. For example, more than two pieces of related information can be sorted in the order of the estimated click rate from large to small.
In application, the front end in the terminal may sort the two or more pieces of relevant information according to the weight sets corresponding to the two or more pieces of relevant information respectively.
In the embodiment, the terminal uses the click rate pre-estimation network to sequence more than two pieces of related information, and the method has the advantages of accurate sequencing result, high processing speed and the like.
In an embodiment, the operation of sorting the two or more pieces of related information according to the weight sets corresponding to the two or more pieces of related information may be implemented in the following manner: the first step, determining a weight statistic value corresponding to a provider of each piece of relevant information; the second step, according to the weight statistics value corresponding to more than two providers, the more than two providers are sequenced; a third step of determining a weight statistic corresponding to each piece of relevant information for N pieces of relevant information provided by the same provider, wherein N is a positive integer; step four, sorting the N pieces of relevant information according to the weight statistic values corresponding to the N pieces of relevant information; and fifthly, sequencing more than two pieces of related information according to the sequencing results of more than two providers and the sequencing results of the N pieces of related information provided by the same provider.
For the first step, for example, the set of weights corresponding to a piece of related information includes: and counting the two weights according to the weight set by the category of the provider of the related information and the weight set by the clicked provider of the related information to obtain a weight statistic value corresponding to the provider of the related information.
There are various ways to count the two weights, for example, adding the two weights, multiplying the two weights, performing a weight addition calculation on the two weights, and the like.
For the second step, more than two providers may be ranked in order of decreasing weight statistics.
For the third step, for example, the set of weights corresponding to a piece of related information includes: and counting the three weights according to the weight set for the related information, the weight set for the clicked related information and the weight set for the search behavior entering the target application by clicking the related information to obtain a weight statistic value corresponding to the related information.
For the fourth step, the N pieces of relevant information may be sorted in order of decreasing weight statistics.
For the fifth step, for example, the two providers are a setting item contact and an application function respectively, the setting item contact includes a millet customer service and a millet company foreground, the application function includes a millet bus, wherein the weight statistic of the contact is greater than the weight statistic of the application function, the weight statistic of the millet customer service is greater than the weight statistic of the millet company foreground, at this time, the contact is arranged in front of the application function, the millet customer service is arranged in front of the millet company foreground, and the three related information related to millet are ordered as follows: millet customer service-front desk of millet company-millet public transport.
In the embodiment, the terminal completes the sequencing of the related information by executing the five steps without using a click rate pre-estimation network, so that the processes of network construction, training and the like are omitted, and the production cost of equipment is reduced.
In one embodiment, the terminal may obtain, from the server, a weight set corresponding to each piece of relevant information.
For example, the server determines a weight set corresponding to currently applicable information according to information use data of the local user and the network user at intervals, and sends the currently applicable weight set to the terminal, so that the terminal updates the locally stored weight set. Information herein may include information in search terms, information in system applications, information in third party applications, information in specific applications, and the like.
The terminal may store the weight set in a global search application, and the global search application acquires relevant information related to search information and a corresponding weight set each time information search is performed.
For another example, after acquiring the search information, the terminal sends the search information to the server. After receiving the search information, the server determines a currently applicable weight set according to information use data of the local user and the network user, and sends the currently used weight set to the terminal, so that the terminal updates the locally stored weight set.
In application, the server side can determine the currently applicable weight set according to click data of a whole network user in the global search application, behavior data of a local user in each application and active data of each application in a system. When the native ID and the behavior data of the native user in each application are stored, the behavior data of the native user in each application may be acquired from the native ID.
In the embodiment, the work of determining the weight set is completed by the server, so that the working pressure of the terminal is reduced, and the normal operation of the client is facilitated.
In one embodiment, after the terminal acquires the related information, the terminal acquires information use data of the local user and the network user for each piece of the related information from the server, and sorts the more than two pieces of related information according to the data values of the information use data of the more than two pieces of related information.
In this embodiment, the terminal has a function of acquiring information usage data of each piece of related information from the server by the local user and the network user, and sorting the two or more pieces of related information according to data values of the information usage data of the two or more pieces of related information.
In one embodiment, after finishing sorting more than two pieces of related information, displaying the sorted related information. The terminal can adjust the weight set of the related information according to the use condition of the related information, such as the click condition, so that the sequencing result obtained by using the weight set subsequently is more in line with the intention of the user.
The embodiment of the disclosure provides a novel information sorting method, which is characterized in that after search information input by global search application is acquired, at least one piece of relevant information relevant to the search information is acquired, and in response to the acquisition of more than two pieces of relevant information, the two pieces of relevant information are sorted by combining information use data of a local user and a network user, so that an information sorting result is optimized. The information sorting result is more in line with the intention of the user.
While, for purposes of simplicity of explanation, the foregoing method embodiments have been described as a series of acts or combination of acts, it will be appreciated by those skilled in the art that the present disclosure is not limited by the order of acts, as some steps may, in accordance with the present disclosure, occur in other orders and concurrently.
Further, those skilled in the art should also appreciate that the embodiments described in the specification are exemplary embodiments and that acts and modules referred to are not necessarily required by the disclosure.
Corresponding to the embodiment of the application function implementation method, the disclosure also provides an application function implementation device and a corresponding embodiment.
Fig. 2 is a block diagram of an information sorting apparatus according to an exemplary embodiment, applied to a terminal, and referring to fig. 2, the apparatus includes: a search information acquisition module 21, a related information acquisition module 22 and a related information sorting module 23; wherein the content of the first and second substances,
the search information acquisition module 21 configured to acquire search information input through a global search application;
the related information obtaining module 22 is configured to obtain at least one piece of related information related to the search information;
the related information sorting module 23 is configured to, in response to acquiring more than two pieces of related information, sort the more than two pieces of related information in combination with information usage data of the local user and the network user.
In an alternative embodiment, on the basis of the information sorting apparatus shown in fig. 2, the related information sorting module 23 may include: a weight set acquisition sub-module and a related information sequencing sub-module; wherein the content of the first and second substances,
the weight set acquisition submodule is configured to acquire a weight set corresponding to each piece of relevant information, and the weight value of the weight in the weight set is positively correlated with the data value of the information use data of the corresponding relevant information;
the related information sorting submodule is configured to sort the more than two pieces of related information according to the weight sets corresponding to the more than two pieces of related information respectively.
In an optional embodiment, the set of weights corresponding to a piece of related information includes at least one of: a weight set for a category of a provider of the related information, a weight set for the provider being clicked, a weight set for the related information being clicked, a weight set for a search behavior into a target application by clicking the related information;
wherein the provider comprises: a search term in the global search application or an application other than the global search application.
In an optional embodiment, the weight set for the category of the provider includes any one of: the weight determined according to the use heat of the provider, the authority of the provider, and the use heat and the authority of the provider;
the weight set for the related information includes any one of: the weight determined according to the use degree of the related information, the weight determined according to the authority of the publisher of the related information, the weight determined according to the text relevance of the related information and the search information, and the weight determined according to at least two of the use degree of the related information, the authority of the related information and the text relevance.
In an optional embodiment, the related information sorting sub-module may include: an information input unit and an information sorting unit; wherein the content of the first and second substances,
the information input unit is configured to input the weight set corresponding to each piece of relevant information into a click rate pre-estimation network, so that the click rate pre-estimation network outputs the pre-estimated click rate of each piece of relevant information according to the weight set corresponding to each piece of relevant information;
the information sorting unit is configured to sort the more than two pieces of relevant information according to the respective estimated click rates of the more than two pieces of relevant information.
In an optional embodiment, the related information sorting sub-module may include: the device comprises a statistic value determining unit, a provider ordering unit, a weight statistic value determining unit, a first related information ordering unit and a second related information ordering unit; wherein the content of the first and second substances,
the statistic value determining unit is configured to determine a weight statistic value corresponding to a provider of each piece of relevant information;
the provider ordering unit is configured to order the two or more providers according to the weight statistic values corresponding to the two or more providers respectively;
the weight statistic value determining unit is configured to determine, for N pieces of relevant information provided by the same provider, where N is a positive integer, a weight statistic value corresponding to each piece of relevant information;
the first related information sorting unit is configured to sort the N pieces of related information according to weight statistics values corresponding to the N pieces of related information respectively;
the second related information sorting unit is configured to sort the two or more pieces of related information according to the sorting results of the two or more providers and the sorting results of the N pieces of related information provided by the same provider.
In an optional embodiment, the apparatus may further include a weight set obtaining module;
the weight set obtaining module is configured to obtain a weight set corresponding to each piece of relevant information from a server.
In an alternative embodiment, on the basis of the information sorting apparatus shown in fig. 2, the related information obtaining module 22 may include: a first information acquisition submodule and a second information acquisition submodule; wherein the content of the first and second substances,
the first information acquisition sub-module is configured to respond to the situation that the terminal and a server are not networked, and acquire relevant information related to the search information from the global search application and system applications installed in the terminal;
the second information obtaining sub-module is configured to obtain relevant information related to the search information from the server, the global search application and the system application in response to networking of the terminal and the server.
Fig. 3 is a schematic diagram illustrating a structure of an electronic device 1600 according to an example embodiment. For example, the electronic device 1600 may be a user device, which may be embodied as a mobile phone, a computer, a digital broadcast, a messaging device, a gaming console, a tablet device, a medical device, a fitness device, a personal digital assistant, a wearable device such as a smart watch, smart glasses, a smart bracelet, a smart running shoe, and the like.
Referring to fig. 3, electronic device 1600 may include one or more of the following components: processing component 1602, memory 1604, power component 1606, multimedia component 1608, audio component 1610, input/output (I/O) interface 1612, sensor component 1614, and communications component 1616.
The processing component 1602 generally controls overall operation of the electronic device 1600, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing component 1602 may include one or more processors 1620 to execute instructions to perform all or part of the steps of the methods described above. Further, the processing component 1602 can include one or more modules that facilitate interaction between the processing component 1602 and other components. For example, the processing component 1602 can include a multimedia module to facilitate interaction between the multimedia component 1608 and the processing component 1602.
The memory 1604 is configured to store various types of data to support operation at the device 1600. Examples of such data include instructions for any application or method operating on the electronic device 1600, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 1604 may be implemented by any type of volatile or non-volatile memory device or combination thereof, 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 component 1606 provides power to the various components of the electronic device 1600. The power components 1606 may include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for the electronic device 1600.
The multimedia component 1608 includes a screen that provides an output interface between the electronic device 1600 and a user as described above. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of the touch or slide action but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 1608 comprises a front-facing camera and/or a rear-facing camera. The front-facing camera and/or the back-facing camera may receive external multimedia data when device 1600 is in an operational mode, such as an adjustment mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.
The audio component 1610 is configured to output and/or input an audio signal. For example, the audio component 1610 includes a Microphone (MIC) configured to receive external audio signals when the electronic device 1600 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signal may further be stored in the memory 1604 or transmitted via the communications component 1616. In some embodiments, audio component 1610 further includes a speaker for outputting audio signals.
The I/O interface 1612 provides an interface between the processing component 1602 and peripheral interface modules, such as keyboards, click wheels, buttons, and the like. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.
The communications component 1616 is configured to facilitate communications between the electronic device 1600 and other devices in a wired or wireless manner. The electronic device 1600 may access a wireless network based on a communication standard, such as WiFi, 2G, or 3G, or a combination thereof. In an exemplary embodiment, the communication component 1616 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the aforementioned communication component 1616 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.
In an exemplary embodiment, the electronic device 1600 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the above-described methods.
In an exemplary embodiment, a non-transitory computer-readable storage medium, such as the memory 1604 including instructions that, when executed by the processor 1620 of the electronic device 1600, enable the electronic device 1600 to perform a method of ordering information, the method comprising: acquiring search information input through a global search application; acquiring at least one piece of related information related to the search information; and in response to the acquisition of more than two pieces of related information, combining the information use data of the local user and the network user, and sequencing the more than two pieces of related information.
The non-transitory computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This disclosure is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (18)
1. An information ordering method is applied to a terminal, and the method comprises the following steps:
acquiring search information input through a global search application;
acquiring at least one piece of related information related to the search information;
and in response to the acquisition of more than two pieces of related information, combining the information use data of the local user and the network user, and sequencing the more than two pieces of related information.
2. The method of claim 1, wherein said ranking the two or more pieces of relevant information using the data in conjunction with the information of the native user and the network user comprises:
acquiring a weight set corresponding to each piece of relevant information, wherein the weight value of the weight in the weight set is positively correlated with the data value of the information use data of the corresponding relevant information;
and sequencing the more than two pieces of relevant information according to the weight sets corresponding to the more than two pieces of relevant information respectively.
3. The method of claim 2, wherein the set of weights corresponding to a piece of related information comprises at least one of: a weight set for a category of a provider of the related information, a weight set for the provider being clicked, a weight set for the related information being clicked, a weight set for a search behavior into a target application by clicking the related information;
wherein the provider comprises: a search term in the global search application or an application other than the global search application.
4. The method of claim 3, wherein the weight set for the category of the provider comprises any one of: the weight determined according to the use heat of the provider, the authority of the provider, and the use heat and the authority of the provider;
the weight set for the related information includes any one of: the weight determined according to the use degree of the related information, the weight determined according to the authority of the publisher of the related information, the weight determined according to the text relevance of the related information and the search information, and the weight determined according to at least two of the use degree of the related information, the authority of the related information and the text relevance.
5. The method according to any one of claims 2-4, wherein the sorting the two or more pieces of related information according to the weight sets corresponding to the two or more pieces of related information comprises:
inputting the weight set corresponding to each piece of relevant information into a click rate pre-estimation network, so that the click rate pre-estimation network outputs the pre-estimated click rate of each piece of relevant information according to the weight set corresponding to each piece of relevant information;
and sequencing the more than two pieces of relevant information according to the estimated click rate of the more than two pieces of relevant information.
6. The method according to any one of claims 2-4, wherein the sorting the two or more pieces of related information according to the weight sets corresponding to the two or more pieces of related information comprises:
determining a weight statistic corresponding to a provider of each piece of relevant information;
sequencing more than two providers according to the weight statistic values corresponding to the providers respectively;
determining a weight statistic value corresponding to each piece of relevant information aiming at N pieces of relevant information provided by the same provider, wherein N is a positive integer;
sorting the N pieces of relevant information according to the weight statistic values corresponding to the N pieces of relevant information respectively;
and sequencing the more than two pieces of related information according to the sequencing results of the more than two providers and the sequencing results of the N pieces of related information provided by the same provider.
7. The method of claim 2, further comprising:
and acquiring a weight set corresponding to each piece of relevant information from the server.
8. The method according to claim 1, wherein the obtaining of the pieces of related information related to the search information includes:
responding to the situation that the terminal and a server are not networked, and acquiring related information related to the search information from the global search application and a system application installed in the terminal;
and responding to networking of the terminal and a server, and acquiring relevant information related to the search information from the server, the global search application and the system application.
9. An information sorting device, applied to a terminal, the device comprising:
a search information acquisition module configured to acquire search information input through a global search application;
a related information acquisition module configured to acquire at least one piece of related information related to the search information;
and the related information sequencing module is configured to respond to the acquired more than two pieces of related information and combine the information use data of the local user and the network user to sequence the more than two pieces of related information.
10. The apparatus of claim 9, wherein the related information ranking module comprises:
the weight set acquisition sub-module is configured to acquire a weight set corresponding to each piece of relevant information, and the weight value of the weight in the weight set is positively correlated with the data value of the information use data of the corresponding relevant information;
and the related information ordering submodule is configured to order the more than two pieces of related information according to the weight sets corresponding to the more than two pieces of related information respectively.
11. The apparatus of claim 10, wherein the set of weights corresponding to a piece of related information comprises at least one of: a weight set for a category of a provider of the related information, a weight set for the provider being clicked, a weight set for the related information being clicked, a weight set for a search behavior into a target application by clicking the related information;
wherein the provider comprises: a search term in the global search application or an application other than the global search application.
12. The apparatus according to claim 11, wherein the weight set for the category of the provider includes any one of: the weight determined according to the use heat of the provider, the authority of the provider, and the use heat and the authority of the provider;
the weight set for the related information includes any one of: the weight determined according to the use degree of the related information, the weight determined according to the authority of the publisher of the related information, the weight determined according to the text relevance of the related information and the search information, and the weight determined according to at least two of the use degree of the related information, the authority of the related information and the text relevance.
13. The apparatus according to any one of claims 10-12, wherein the related information ranking sub-module comprises:
the information input unit is configured to input the weight set corresponding to each piece of relevant information into a click rate pre-estimation network, so that the click rate pre-estimation network outputs the pre-estimated click rate of each piece of relevant information according to the weight set corresponding to each piece of relevant information;
and the information sorting unit is configured to sort the more than two pieces of relevant information according to the estimated click rate of the more than two pieces of relevant information.
14. The apparatus according to any one of claims 10-12, wherein the related information ranking sub-module comprises:
a statistic value determination unit configured to determine a weight statistic value corresponding to a provider of each piece of related information;
the provider ordering unit is configured to order the two or more providers according to the weight statistic values corresponding to the two or more providers;
the weight statistic value determining unit is configured to determine a weight statistic value corresponding to each piece of relevant information aiming at N pieces of relevant information provided by the same provider, wherein N is a positive integer;
the first related information sorting unit is configured to sort the N pieces of related information according to the weight statistic values corresponding to the N pieces of related information respectively;
and the second related information sorting unit is configured to sort the more than two pieces of related information according to the sorting results of the more than two providers and the sorting results of the N pieces of related information provided by the same provider.
15. The apparatus of claim 10, further comprising:
and the weight set acquisition module is configured to acquire a weight set corresponding to each piece of relevant information from the server.
16. The apparatus of claim 9, wherein the related information obtaining module comprises:
a first information acquisition sub-module configured to acquire relevant information related to the search information from the global search application and a system application installed in the terminal in response to the terminal and a server not being networked;
and the second information acquisition sub-module is configured to respond to the networking of the terminal and a server and acquire relevant information related to the search information from the server, the global search application and the system application.
17. A non-transitory computer readable storage medium having stored thereon a computer program, characterized in that the program, when executed by a processor, implements the method of any one of claims 1-8.
18. An electronic device, comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to:
acquiring search information input through a global search application;
acquiring at least one piece of related information related to the search information;
and in response to the acquisition of more than two pieces of related information, combining the information use data of the local user and the network user, and sequencing the more than two pieces of related information.
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