CN114881557A

CN114881557A - Material information pushing method, device and equipment based on regions

Info

Publication number: CN114881557A
Application number: CN202210450707.7A
Authority: CN
Inventors: 刘伟; 李婷; 黄鑫安; 陈海歌; 覃黎飞; 杨昱; 卜建国; 林赛群
Original assignee: Baidu Online Network Technology Beijing Co Ltd
Current assignee: Baidu Online Network Technology Beijing Co Ltd
Priority date: 2022-04-27
Filing date: 2022-04-27
Publication date: 2022-08-09

Abstract

The disclosure provides a material information pushing method, device and equipment based on regions, and relates to the field of data processing, in particular to the fields of big data, intelligent search, big search, webpage search, information retrieval and the like. The specific implementation scheme is as follows: responding to the acquisition request, and determining first region characteristic information corresponding to the acquisition request; the acquisition request is used for indicating acquisition of material information, and the first region characteristic information represents the correlation degree of the acquisition request and the region; matching material information from a preset material library for an acquisition request according to the first regional characteristic information and second regional characteristic information of the material information in the preset material library to obtain a list to be pushed, wherein the material information in the preset material library has second regional characteristic information representing whether the material information is related to regions; and displaying the list to be pushed. By the method, accuracy of pushing the material information is improved.

Description

Region-based material information pushing method, device and equipment

Technical Field

The disclosure relates to the fields of big data, intelligent search, big search, webpage search, information retrieval and the like in data processing, in particular to a material information pushing method, device and equipment based on regions.

Background

With the continuous development of internet technology, a user can acquire material information concerned by the user through the internet. The material information may be, for example, articles, advertisement information, pictures, videos, and the like.

How to screen out material information with higher relevance with a user from massive material information is an urgent problem to be solved.

Disclosure of Invention

The disclosure provides a region-based material information pushing method, device and equipment for improving accuracy of material information pushing.

According to a first aspect of the present disclosure, a material information pushing method based on a region is provided, including:

responding to an acquisition request, and determining first region characteristic information corresponding to the acquisition request; the acquisition request is used for indicating acquisition of material information, and the first region characteristic information represents the correlation degree of the acquisition request and the region;

matching material information for the acquisition request from a preset material library according to the first region characteristic information and second region characteristic information of the material information in the preset material library to obtain a list to be pushed; the preset material library comprises at least one piece of material information, and the material information in the preset material library has second regional characteristic information; the second regional characteristic information represents whether the material information is related to a region; the list to be pushed comprises at least one piece of material information to be displayed;

and displaying the list to be pushed.

According to a second aspect of the present disclosure, there is provided a material information pushing device based on a region, including:

the device comprises a first determining unit, a second determining unit and a judging unit, wherein the first determining unit is used for responding to an acquisition request and determining first region characteristic information corresponding to the acquisition request; the acquisition request is used for indicating acquisition of material information, and the first region characteristic information represents the correlation degree of the acquisition request and the region;

the first matching unit is used for matching the material information for the acquisition request from the preset material library according to the first region characteristic information and second region characteristic information of the material information in the preset material library to obtain a list to be pushed; the preset material library comprises at least one piece of material information, and the material information in the preset material library has second regional characteristic information; the second regional characteristic information represents whether the material information is related to a region; the list to be pushed comprises at least one piece of material information to be displayed;

and the display unit is used for displaying the list to be pushed.

According to a third aspect of the present disclosure, there is provided an electronic device comprising:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,

the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of the first aspect.

According to a fourth aspect of the present disclosure, there is provided a non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method of the first aspect.

According to a fifth aspect of the present disclosure, there is provided a computer program product comprising: a computer program, stored in a readable storage medium, from which at least one processor of an electronic device can read the computer program, execution of the computer program by the at least one processor causing the electronic device to perform the method of the first aspect.

According to the technology disclosed by the invention, the accuracy of pushing the material information is improved.

It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present disclosure, nor do they limit the scope of the present disclosure. Other features of the present disclosure will become apparent from the following description.

Drawings

The drawings are included to provide a better understanding of the present solution and are not to be construed as limiting the present disclosure. Wherein:

FIG. 1 is a schematic diagram according to a first embodiment of the present disclosure;

FIG. 2 is a schematic diagram according to a second embodiment of the present disclosure;

FIG. 3 is a schematic illustration of material information provided in accordance with an embodiment of the present disclosure;

FIG. 4 is a schematic illustration of demand information provided in accordance with an embodiment of the present disclosure;

FIG. 5 is a schematic diagram according to a third embodiment of the present disclosure;

FIG. 6 is a schematic diagram according to a fourth embodiment of the present disclosure;

FIG. 7 is a schematic diagram according to a fifth embodiment of the present disclosure;

FIG. 8 is a schematic diagram according to a sixth embodiment of the present disclosure;

FIG. 9 is a schematic diagram according to a seventh embodiment of the present disclosure;

fig. 10 is a block diagram of an electronic device for implementing a method for pushing material information based on a region according to an embodiment of the present disclosure.

Detailed Description

Exemplary embodiments of the present disclosure are described below with reference to the accompanying drawings, in which various details of the embodiments of the disclosure are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

Currently, with the continuous development of internet technology, a user can search or browse material information such as news, advertisements, articles, videos, and the like on the internet.

In the related art, when material information is presented to a user, the material information obtained through matching of a region word corresponding to a city name included in a search word input by the user and a word corresponding to a city name promoted by the material information specified by a material information provider is presented to the user.

However, in the above implementation, when the search term input by the user does not include a region term, at this time, the material information is randomly recommended to the user, so that the accuracy of pushing the material information is reduced, and the satisfaction of the user is further reduced. In addition, when the material side does not provide the promotion city name of the material information corresponding to the material information, at this time, the material information of the promotion city without the corresponding cannot be matched based on the region word in the search word input by the user, and the pushing accuracy is low.

To avoid at least one of the above technical problems, the inventors of the present disclosure have made creative efforts to obtain the inventive concept of the present disclosure: and selecting the material information matched with the acquisition request from the material library and displaying the material information to the user by determining the relevance of the acquisition request and the region and whether the material information is relevant to the region or not.

Based on the invention concept, the invention provides a region-based material information pushing method, device and equipment, which are applied to the fields of big data, intelligent search, big search, webpage search, information retrieval and the like in the field of data processing so as to achieve the effect of improving the accuracy of material information.

In the technical scheme of the disclosure, the collection, storage, use, processing, transmission, provision, disclosure and other processing of the personal information of the related user are all in accordance with the regulations of related laws and regulations and do not violate the good customs of the public order.

Fig. 1 is a schematic diagram according to a first embodiment of the disclosure, and as shown in fig. 1, a method for pushing material information based on a region according to the embodiment of the disclosure includes:

s101, responding to an acquisition request, and determining first region characteristic information corresponding to the acquisition request; the acquisition request is used for indicating acquisition of material information, and the first region characteristic information represents the correlation degree of the acquisition request and the region.

For example, the execution main body of this embodiment may be a material information pushing device based on a region, where the material information pushing device based on the region may be a server (such as a local server or a cloud server), may also be a computer, may also be a terminal device (such as a smart band and a smart watch), may also be a processor, may also be a chip, and the like, and this embodiment is not limited.

The obtaining request in this embodiment is used to indicate a request for obtaining the material information, for example, when a user accesses an application installed in the electronic device, the user may search for the material information through the application in the electronic device, so that the application may match the corresponding material information through the search information input by the user.

In addition, the region may be used to represent a country, province, city, street name, etc., and is not specifically limited herein.

When the acquisition request is received, the acquisition request is analyzed, and the correlation degree of the acquisition request and the region is determined. In an example, the value range of the correlation degree related to the region corresponding to the acquisition request may be a natural number in the interval [0, 100 ]. Wherein, when the correlation degree related to the region corresponding to the acquisition request is 0, the acquisition request is unrelated to the region. For example, when the acquisition request indicates that a restaurant is recommended, the acquisition request may be considered region-dependent. When the obtaining request carries the specific city name, the obtaining request can be considered to be related to the region, and the degree of correlation corresponding to the obtaining request carrying the city name is higher than the degree of correlation corresponding to the obtaining request indicating that the restaurant is recommended.

S102, matching material information for an acquisition request from a preset material library according to the first region characteristic information and second region characteristic information of the material information in the preset material library to obtain a list to be pushed; the preset material library comprises at least one piece of material information, and the material information in the preset material library has second regional characteristic information; the second regional characteristic information represents whether the material information is related to a region; the list to be pushed comprises at least one piece of material information to be displayed.

Illustratively, the preset material library comprises at least one piece of material information, and the material information has second regional characteristic information for indicating whether the material information is related to a region. For example, when the material information has regional words such as cities, the material information may be considered to be related to regions. When the material information is online music, a web course, etc., the material information can be considered to be unrelated to the region. When determining the material information to be displayed corresponding to the finally displayed list to be pushed, at this time, matching may be performed in the material information in the preset material library based on the first regional characteristic information of the acquisition request and the second regional characteristic information of the material information in the preset material library.

For example, when the correlation degree between the first region characteristic information representation acquisition request and the region is high, the first region characteristic information representation acquisition request and the second region characteristic information representation acquisition request may be matched with each other in the preset material library. When the correlation degree of the first region characteristic information representation acquisition request and the region is low, the first region characteristic information representation acquisition request and the second region characteristic information representation acquisition request can be matched with the material information which is indicated by the second region characteristic information and is irrelevant to the region in the preset material library.

S103, displaying the list to be pushed.

For example, after the to-be-pushed list corresponding to the acquisition request is matched, the to-be-pushed list may be displayed.

In an example, the content displayed in the to-be-pushed list may be a part of the content in the material information to be displayed included in the to-be-pushed list, and is not limited specifically here.

In this embodiment, when pushing the material information, the final list to be pushed is determined based on matching between the first regional characteristic information corresponding to the acquisition request and the second regional characteristic information of the material information in the preset material library. Compared with a mode of matching the material information only based on the region words in the related art, the mode in the embodiment can improve the accuracy of pushing the material information, and avoids the problem of inaccurate matching result caused by random matching in the related art when the acquisition request does not contain the region information indicating the region words.

For the reader to more deeply understand the implementation principle of the present disclosure, the embodiment shown in fig. 1 is now further detailed in conjunction with fig. 2 to 6 below.

Fig. 2 is a schematic diagram according to a second embodiment of the disclosure, and as shown in fig. 2, the method for pushing material information based on a region according to the embodiment of the disclosure includes:

s201, responding to an acquisition request, and determining first region characteristic information corresponding to the acquisition request; the acquisition request is used for indicating acquisition of material information, and the first region characteristic information represents the correlation degree of the acquisition request and the region. In addition, in this embodiment, the first region characteristic information includes first characteristic information and second characteristic information, or the first region characteristic information includes second characteristic information; and when the acquisition request comprises the demand information input by the user, the first characteristic information is region information included in the demand information, and the second characteristic information represents the correlation degree of the demand information and the region.

For example, in this embodiment, the first region characteristic information corresponding to the acquisition request has two cases, in one case, the first region characteristic information has both the first characteristic information and the second characteristic information, and in another case, the first region characteristic information includes the second characteristic information.

When the obtaining request in this embodiment includes the requirement information input by the user, the requirement information input by the user may be information input by the user in the search box during the search. At this time, the first region feature information corresponding to the acquisition request is acquired, that is, the first feature information corresponding to the demand information and the second feature information corresponding to the demand information are acquired, or the second feature information corresponding to the demand information is acquired. The first characteristic information corresponding to the demand information is used to indicate region information included in the demand information, for example, the region information included in the demand information is a word included in the demand information and used to indicate a region, where the word used to indicate the region may be at least one of a country name, a city name, and a province name. The second feature information corresponding to the demand information may be used to indicate a correlation degree related to a region, for example, when the demand information includes the region word, the correlation degree between the demand information and the region may be considered to be higher. When the demand information does not include the above-described regional word, but a word such as "local", "distance XXkm", or the like appears, it may also be considered as being related to the region at this time, and the setting of the degree of correlation may be lower than that corresponding to the demand information including a word lower than the word. When the terms such as "online", and "web lesson" are included in the demand information, the correlation between the demand information and the region may be considered to be low.

It can be understood that, when the demand information input by the user includes a regional word, at this time, the demand information included in the acquisition request corresponds to the first characteristic information and the second characteristic information. When the demand information input by the user does not include the region words, the second characteristic information corresponding to the demand information included in the request is acquired. And matching the second characteristic information in the acquisition request with the material information with the second regional characteristic information in the preset regional library to improve the accuracy of material matching.

S202, according to first feature information in the first region feature information, matching processing is carried out on the acquisition request from material information with third feature information in a preset material library to obtain a first candidate material. The first alternative material is material information in a preset material library; the preset material library comprises at least one piece of material information, and the material information in the preset material library has second regional characteristic information; the second regional characteristic information represents whether the material information is related to a region; the list to be pushed comprises at least one piece of material information to be displayed; the second regional characteristic information comprises third characteristic information and fourth characteristic information, or the second regional characteristic information comprises fourth characteristic information; the third characteristic information is region information included in the material information corresponding to the third characteristic information; and the fourth characteristic information represents the correlation degree of the material information corresponding to the fourth characteristic information and the region.

For example, in this embodiment, there are two cases for the second regional characteristic corresponding to the material information in the preset material library, in one case, the second regional characteristic information includes the third characteristic information and the fourth characteristic information at the same time, and in another case, the second regional characteristic information includes the fourth regional characteristic information. Similar to the first characteristic information and the second characteristic information of the demand information, the third characteristic information is used for indicating region information (i.e., region words) included in the material information, and the fourth characteristic information can represent the relevance of the material information with respect to the region. Here, the correlation between the material information and the region may refer to the description of the correlation between the demand information and the region, and is not described herein again.

It can be understood that, in this embodiment, the second regional characteristic information corresponding to the material information may include a characteristic for indicating a degree of correlation between the material information and the region, and the accuracy of matching in the subsequent matching process of the material information may be improved by determining the degree of correlation between the material information and the region in the preset material library.

And when the material information matched with the acquisition request containing the demand information is determined, at this time, when the first region characteristic information corresponding to the demand information includes the first characteristic information, the first region characteristic information can be matched with the material information with the third characteristic information in the preset material library according to the first characteristic information corresponding to the demand information, so as to obtain the first candidate material.

For example, when the first region characteristic information corresponding to the demand information is "a city", matching may be performed in material information that also has third characteristic information of "a city" in a preset material library, and then a matched first candidate material is obtained, where the first candidate material includes at least one piece of material information in the preset material library obtained through matching.

S203, according to second characteristic information in the first regional characteristic information and second regional characteristic information of material information in a preset material library, matching processing is carried out on the obtained request from the preset material library to obtain a second alternative material; and the second alternative material is material information in a preset material library.

For example, when the to-be-pushed list corresponding to the acquisition request including the demand information is determined, further, based on a correlation degree, indicated by second feature information in the first region feature information, related to a region, matching is performed on the to-be-pushed list and the material information having the second region feature information in a preset material library. That is, at this time, the second feature information in the first region feature corresponding to the acquisition request may be matched with the material information in the preset material library having the third feature information and the fourth feature information, or may be matched with the material information in the preset material library having the fourth feature information, so as to obtain the second candidate material, where the second candidate material includes at least one matched material information in the preset material library. For example, if the correlation degree of the second characteristic information representing the demand information with the region is high, the demand information may be matched with material information corresponding to fourth characteristic information, which is in a preset material library and is high in correlation degree with the region. For the demand information corresponding to the second characteristic information with low correlation degree related to the region, the material information in the preset material library corresponding to the fourth characteristic information with low correlation degree related to the region can be matched, and then the second alternative material is obtained.

It can be understood that, when matching the material information, in this embodiment, first the demand information with the first characteristic information may be matched with the material information in the preset material library with the third characteristic information, and the demand information with the second characteristic information may also be matched with the material information in the preset material library with the second regional characteristic information, so as to obtain a final list to be matched. Through foretell matching mode, not only can carry out the matching of material information based on the region word of first characteristic information and third region characteristic information, can also match based on the relevancy relevant with the region, and then, can push more material information that accords with the first region characteristic information that user demand information corresponds for the user, improve material information's propelling movement degree of accuracy.

In an example, when step S203 is executed, if the correlation degree represented by the second feature information in the first region feature information is smaller than or equal to a first preset threshold, performing matching processing on the demand information from the preset material library according to the second feature information in the first region feature information and the second region feature information of the material information in the preset material library to obtain a second candidate material.

For example, when determining the second candidate material based on the second feature information in the first region information, first, the correlation between the demand information in the acquisition request indicated by the second feature information and the region may be compared with a first preset threshold, and when the correlation represented by the second feature information is less than or equal to the first preset threshold, it is indicated that the demand information in the acquisition request is not related to the region, and at this time, the second region feature information of each piece of material information in the preset material library may be based on the second region feature information of each piece of material information in the preset material library, and the matching may be performed in the piece of material information indicated by the second region feature information and not related to the region.

It can be understood that, by comparing the correlation degree of the demand information in the acquisition request indicated by the second characteristic information and the region with the first preset threshold value, and then matching the second characteristic information of which the correlation degree is smaller than the first preset threshold value with the material information in the preset material library, the demand information in the acquisition request does not contain the region word, and when the demand information is determined to be irrelevant based on the second characteristic information, the corresponding material information can be matched based on the meaning of whether the material information indicated by the second region characteristic information is related to the region, so as to improve the experience degree of the user.

In one example, the method provided in this example further comprises the following two steps:

the first step is as follows: if the correlation degree represented by the second feature information in the first region feature information is greater than a first preset threshold, acquiring third region feature information of the user; and the third region characteristic information represents the region characteristic related to the user.

Exemplarily, when the correlation degree represented by the second feature information corresponding to the demand information in the acquisition request is greater than a first preset threshold, at this time, it indicates that the demand information corresponding to the second feature information is related to a region, at this time, the third region feature information used for indicating the region feature related to the user may be continuously acquired, so that more material information may be subsequently matched based on the third region feature information. For example, the third region characteristic information of the user may be based on a travel record or an uploaded movement record of the user, determine a place frequently visited by the user or a region frequently involved in movement of the user, and the like.

In one example, the third geographic characteristic information includes fifth and sixth characteristic information, where the fifth characteristic information is geographic information obtained based on the positioning information of the user; the sixth feature information is region information obtained based on the history browsing history information of the user.

For example, in this example, when the third geographic characteristic information of the user is obtained, at this time, the third geographic characteristic information of the user may include: the fifth feature information used for representing the region information indicated by the positioning information authorized by the user may also be the region information determined based on the historical browsing record information of the user. For example, when the region information where the user is located is determined based on the historical browsing history of the user, the region words included in the historical browsing history of the user may be screened as the third region feature information.

It can be understood that, when the third region characteristic information of the user is obtained, not only the region information where the user is located can be accurately obtained through the positioning information of the user, but also the region information related to the user can be estimated based on the browsing information of the user, and further, the correlation between the finally matched material information and the user can be higher through obtaining the above characteristic information, so that the accuracy of pushing the material information is improved.

In one example, the "acquiring the third regional characteristic information of the user" in the first step of the acquisition may be implemented by: acquiring historical browsing record information of a user in a preset time period, hot information in the preset time period and positioning information of the user; the hot information is material information of which the recommendation degree is greater than a second preset threshold; removing hot information from the historical browsing record information to obtain the removed historical browsing record information; and determining third region characteristic information based on the occurrence times of the region information and the positioning information included in the removed historical browsing record information.

For example, when determining the third region characteristic information, in this example, the obtained positioning information of the user within the preset time period may be used as fifth characteristic information in the third region characteristic information. In addition, when the sixth feature information in the third region feature information is determined based on the historical browsing history information of the user, at this time, since the browsing history information of the user for the hit information is often included in the historical browsing history information, the hit information may be used to indicate that the recommendation degree is greater than the second preset threshold value. For example, in the software application, the material information with higher recommendation degree can be displayed on the home page of the software application according to the recommendation degree of the user for the material information. The historical browsing record information of the hot information of the user cannot accurately reflect the regional characteristics related to the user, and generally, the user can be considered to pay more attention to the material information of the region where the user is located, so that the browsing record information of the user on the hot information can be deleted from the obtained historical browsing record information within the preset time period, and the region information with higher occurrence frequency or the highest occurrence frequency is selected as the sixth characteristic information in the third region characteristic information based on the occurrence frequency of the region information in the rejected historical browsing record information.

It can be understood that in this embodiment, the browsing history of the hot information in the historical browsing history information is deleted, and then the region related to the user is determined by the number of times of occurrence of the region information in the deleted historical browsing history information, so as to improve the correlation between the acquired sixth feature information and the region where the user is located, so as to improve the accuracy of matching the subsequent material information.

The second step is as follows: and according to the third region characteristic information, performing matching processing on the demand information from the preset material library to obtain a second alternative material.

For example, after the third region characteristic information of the user is acquired, the material information matched with the demand information in the acquisition request information may be further determined based on the third region characteristic information.

It can be understood that, in this embodiment, if the first region characteristic information of the demand information in the acquisition request includes the first characteristic information, at this time, material information matching may be continuously performed in the preset material information base based on the acquired third region characteristic information, so as to recommend more material information related to the user. If the first region characteristic information of the demand information in the acquisition request does not include the first characteristic information, at this time, if it is determined that the demand information and the region have correlation based on the second characteristic information, material information matching can be further performed in the material information having the second region characteristic information in the preset material library through the acquired third region characteristic information of the user, and then, the correlation between the pushed material information and the user is improved.

For example, when the demand information input by the user is "local food a", at this time, the demand information may be considered to be related to a region, and the correlation degree related to the region is greater than a first preset threshold, and the demand information does not include region information of region words representing names of countries and provinces and cities, that is, does not include the first feature information, and at this time, material information matching may be performed in a preset material library based on third region feature information of the user, so as to avoid a phenomenon that material information is randomly recommended to the user when the region words do not exist in the demand information, which may result in a poor correlation between the recommended material information and the user and an inaccurate recommendation phenomenon.

In one example, in the second step, the matching processing is performed on the demand information from the preset material library according to the third region characteristic information to obtain the second candidate material, and the following processes are performed:

the first process is that according to fifth characteristic information in the third region characteristic information, matching processing is carried out on demand information from material information with third characteristic information in a preset material library to obtain first matching materials; the first matched material is material information in a preset material library; the fifth feature information is based on region information acquired by the positioning information of the user.

In the second process, matching processing is carried out on the demand information from a preset material library according to sixth feature information in the third region feature information to obtain a second matched material; the second matched material is material information in a preset material library; the sixth feature information is region information obtained based on the history browsing history information of the user.

And in the third process, determining that the first matching material and the second matching material are both second alternative materials.

For example, in this embodiment, when matching the material information based on the third region characteristic information of the user, at this time, since the accuracy of the region information (that is, the fifth characteristic information) where the user is located determined based on the positioning information is higher than the accuracy of the region information (that is, the sixth characteristic information) where the user is located determined based on the history browsing record information when the region information (that is, the fifth characteristic information) where the user is located is determined based on the history browsing record information, in order to improve the accuracy of matching, when matching, the material information with the third characteristic information in the second region characteristic information may be matched in the preset material library based on the fifth characteristic information in the third region characteristic information, and then the first matching material is matched in the material information in the preset material library. Furthermore, the region where the user is located can be accurately indicated by the fifth feature information, and the region information included in the material information can also be accurately indicated by the third feature information, so that when the two feature information are matched, the relevance between the matched material information and the user is high. In addition, matching can be performed on the material information in the acquisition request in a preset material library based on sixth feature information in the third region feature information, a second matching result is further determined, and then the first matching result and the second matching result are used as second candidate materials.

It can be understood that, in this embodiment, when the second candidate material is determined based on the third regional characteristic information, the fifth characteristic information may be matched with the material information in the preset material library having the third characteristic information, and the sixth characteristic information may be matched with the material information in the preset material library, so as to improve the accuracy and the matching efficiency of the matched material information.

S204, determining that the first candidate material and the second candidate material are both material information to be displayed so as to obtain a list to be pushed.

Illustratively, when the first candidate material and the second candidate material are determined, the material information included in the two candidate materials can be both used as the material information to be displayed, and then the list to be pushed is determined based on the material information to be displayed.

In one example, when step S204 is executed, the following steps may be implemented:

in the first step of step S204, it is determined that the first candidate material and the second candidate material are both material information to be displayed.

Illustratively, when the list to be pushed is determined, the material information corresponding to the list to be pushed may also be sorted, so that the user may observe the material information related to the user first. After the first candidate material and the second candidate material are determined, both the first candidate material and the second candidate material can be used as material information to be displayed. In a possible embodiment, when the first candidate material and the second candidate material are determined, the first candidate material and the second candidate material may be further screened, for example, the material information with lower recommendation degree or lower approval degree may be deleted to obtain the deleted first candidate material and the deleted second candidate material, and then, the deleted first candidate material and the deleted second candidate material are used as the material information to be displayed to improve the satisfaction degree of the user on the pushed material information.

Step S204, determining the priority of the material information to be displayed to obtain a list to be pushed; if the second regional characteristic information of the material information to be displayed in the list to be pushed comprises the fourth characteristic information, a negative correlation relationship exists between the correlation degree represented by the fourth characteristic information of the material information to be displayed in the list to be pushed and the priority of the material information to be displayed in the list to be pushed.

For example, when the priority of the material information to be displayed is determined, if the priority of the material information to be displayed, which only includes the fourth characteristic information, is set, the correlation degree represented by the fourth characteristic information of the material information to be displayed, which meets the above condition, and the priority of the material information to be displayed at this time are in negative correlation. That is, if one piece of material information to be displayed only has the fourth characteristic information, and the fourth characteristic information of the piece of material information to be displayed indicates that the degree of correlation between the piece of material information and the region is high, the part of material information does not have the third characteristic information (i.e., does not include the region word), therefore, the region corresponding to the part of the material information still cannot be determined, and at this time, even though the words in the demand information can be passed, for example, "food a" is matched and used as the material information to be displayed, but since the part of the material information has no corresponding regional words, therefore, the material information with smaller relevance represented by the fourth characteristic information in the material information to be displayed can be preferentially pushed to the user, that is, it is considered that the region range to which the material information to be displayed, which is represented by the fourth feature information and has a smaller degree of correlation, is applicable is wider, and the phenomenon that the region of the material information to be displayed and the region desired by the user demand information have a poorer degree of correlation is avoided.

In one example, the priority of the material information to be displayed with the first characteristic in the list to be pushed is higher than the priority of the material information to be displayed with the second characteristic in the list to be pushed. The first characteristic representation material information to be displayed is obtained based on first region characteristic information; the second characteristic representation material information to be displayed is obtained based on third region characteristic information; the third geographic characteristic information characterizes geographic characteristics associated with the user.

For example, in this example, when determining the priority of the material information to be displayed, which is obtained based on the first region characteristic information of the demand information of the user, may be set to be higher than the priority of the material information to be displayed, which is obtained based on the third region characteristic information of the user.

Furthermore, in the list to be matched, the user can firstly observe the material information determined according with the requirement information of the user, so that the user satisfaction is improved according to the accuracy of material information recommendation.

In one example, in the material information to be displayed with the first characteristic in the list to be pushed, the priority of the material information to be displayed with the first attribute is higher than the priority of the material information to be displayed with the second attribute; the first attribute representation material information to be displayed is obtained based on the first characteristic information; the second attribute represents that the material information to be displayed is obtained based on the second characteristic information.

For example, in this example, in the material to be displayed obtained based on the first region characteristic information of the demand information (i.e., in the material information to be displayed having the first characteristic), the setting of the priority may also be performed. That is, the priority of the material information to be displayed (i.e., the material information to be displayed having the first attribute) obtained based on the first characteristic information in the first region characteristic information may be set higher than the priority of the material information to be displayed (i.e., the material information to be displayed having the second attribute) obtained based on the second characteristic information in the first characteristic information.

That is to say, in determining the to-be-displayed material information with the first characteristic, because the first characteristic information in the first regional characteristic is the regional characteristic information directly included in the user's demand information, and the second characteristic information can be considered as the characteristic information obtained by analyzing based on the user demand, it can be considered that the first characteristic information can reflect the user's demand, and then the priority of the to-be-displayed material information with the first attribute is higher than the priority of the to-be-displayed material information with the second attribute, so that the material information observed by the end user at first better conforms to the region demanded by the user.

In one example, in the material information to be displayed with the second characteristic in the list to be pushed, the priority of the material information to be displayed with the third attribute is higher than the priority of the material information to be displayed with the fourth attribute; the third attribute represents that the material information to be displayed is obtained based on fifth characteristic information of the user; the fourth attribute representation material information to be displayed is obtained based on sixth characteristic information of the user; the fifth characteristic information is region information acquired based on the positioning information of the user; the sixth feature information is region information obtained based on the history browsing history information of the user.

For example, in this embodiment, in the material information to be displayed obtained based on the third region characteristic information, the priority of the material information to be displayed (i.e., the material information to be displayed having the third attribute) obtained based on the positioning information of the user is higher than the priority of the region information (i.e., the material information to be displayed having the fourth attribute) obtained based on the history browsing record information of the user.

It can be understood that, because the location information of the user can usually visually display the region where the user is located, and the sixth feature information determined based on the historical browsing record of the user is the speculatively analyzed region information which the user pays attention to, it can be determined that the accuracy of the region information determined based on the historical browsing record of the user is lower than the accuracy of the region information determined based on the location information of the user, and therefore, the material information to be displayed determined based on the location information by setting the priority in this example can better conform to the region information of the user, and can be preferentially pushed to the user, so that the satisfaction of the user is improved.

And S205, displaying the list to be pushed.

For example, this step is referred to as step S103, and is not described here again.

In this embodiment, through can match the demand information that has first characteristic information with the material information in the preset material storehouse that has third characteristic information to can also match the demand information that has second characteristic information with the material information that has second territorial characteristic information in the preset material storehouse, and then, can push more material information that accords with the first territorial characteristic information that user demand information corresponds for the user, improve the propelling movement degree of accuracy of material information. In addition, when the relevance represented by the second feature information in the first region feature information is greater than a first preset threshold, at this time, the third region feature information of the user can be obtained, and the matching of the material information can be performed in a preset material library, so that more material information related to the user can be recommended to the user through the above mode.

Fig. 3 is a schematic illustration of material information provided in accordance with an embodiment of the present disclosure. As shown in fig. 3, fig. 3 is an example of material information, for example, when a user inputs search information "XX training class in city a", the material information 300 shown in fig. 3 may be displayed to the user.

Fig. 4 is a schematic view of a user search scenario provided according to an embodiment of the present disclosure. When the user needs to search for the requirement information, at this time, the user may input the requirement information, for example, "chef school in city a" in fig. 4, in the search box 400, and then click on the search, so that the user may be pushed the relevant material information.

Fig. 5 is a schematic diagram according to a third embodiment of the present disclosure, and as shown in fig. 5, a method for pushing material information based on a region according to the embodiment of the present disclosure includes:

s501, responding to the acquisition request, and determining first region characteristic information corresponding to the acquisition request; the acquisition request is used for indicating acquisition of material information, and the first region characteristic information represents the correlation degree of the acquisition request and the region; the first region characteristic information comprises first characteristic information and second characteristic information, or the first region characteristic information comprises the second characteristic information; if the acquisition request is generated in response to the triggering operation of the user, the first characteristic information is the region information acquired based on the positioning information of the user, and the second characteristic information is the region information acquired based on the historical browsing record information of the user

For example, the obtaining request in this embodiment is generated based on a triggering operation of a user, for example, the touch operation may be generated when the user opens a certain application sliding display interface, and at this time, the obtaining request is triggered by the user. In contrast to the embodiment shown in fig. 2, the requirement information included in the acquisition request in fig. 2 is actively input by the user.

When the acquisition request is generated based on the user touch operation, at this time, first feature information in the first region feature information is region information obtained based on the positioning information of the user, and second feature information in the first region feature information is region information obtained based on the history browsing record information of the user. In addition, in a scene corresponding to the acquisition request, the first region feature information also has two situations, wherein in one situation, the first region feature information includes first feature information and second feature information; in another case, the first region feature information includes the second feature information, that is, at this time, the first feature information may not be determined because the positioning information of the user cannot be acquired.

S502, according to first feature information in the first region feature information, matching processing is carried out on an acquisition request from material information with third feature information in a preset material library to obtain a first alternative material; the first alternative material is material information in a preset material library; the preset material library comprises at least one piece of material information, and the material information in the preset material library has second regional characteristic information; the second regional characteristic information represents whether the material information is related to a region; the list to be pushed comprises at least one piece of material information to be displayed.

For example, when the acquisition request is generated based on the touch operation of the user, if the first region feature information exists, the first region feature information may be matched based on the first feature information (i.e., the region information determined based on the positioning information of the user) and the material information having the third feature information in the preset material library. If the first region characteristic information does not exist, step S503 may be directly executed.

S503, according to second characteristic information in the first regional characteristic information and second regional characteristic information of material information in a preset material library, matching processing is carried out on the obtained request from the preset material library to obtain a second alternative material; and the second alternative material is material information in a preset material library. The second regional characteristic information comprises third characteristic information and fourth characteristic information, or the second regional characteristic information comprises fourth characteristic information; the third characteristic information is region information included in the material information corresponding to the third characteristic information; and the fourth characteristic information represents the correlation degree of the material information corresponding to the fourth characteristic information and the region.

For example, when the obtaining request is generated based on the touch operation of the user, after matching is performed in a material library having third feature information in a preset material library based on the first feature information, matching may be performed in the preset material library based on second regional feature information of the material information based on second feature information in the first feature information.

For example, when it is determined that the second characteristic information is "a city", at this time, the second characteristic information may be matched with the material information related to the region indicated by the second region characteristic information in the preset material library, and if a result cannot be matched with the result, the second characteristic information may be matched with the material information unrelated to the region indicated by the second region characteristic information in the preset material library, so as to obtain the second candidate material. When the second regional characteristic information includes the third characteristic information and the fourth characteristic information, or the second regional characteristic information includes the fourth characteristic information, at this time, the second characteristic information may be matched with material information in a preset material library having the third characteristic information and the third characteristic information being the "a city", and in addition, if there is no material information in the preset material library having the third characteristic information being the "a city", the material information may be matched with material information in a preset material library having the fourth characteristic information, so as to display a pushing result to a user.

S504, determining that the first candidate material and the second candidate material are both material information to be displayed, so as to obtain a list to be pushed.

For example, this step may refer to step S204, and detailed description is omitted.

And S505, displaying the list to be pushed.

For example, this step may refer to step S205, and details of the specific principle are not described again.

In this embodiment, when the acquisition request is triggered based on the touch operation of the user, at this time, the first feature information in the first region feature information is obtained based on the positioning information of the user, and the second feature information is region information obtained based on the history browsing record information of the user, and further, when the acquisition request is generated in response to the touch operation of the user in actual application, at this time, matching of the material information is performed in the preset material library by combining the feature information, so that the material information related to the region of the user is pushed to the user, and the user experience is improved.

Fig. 6 is a schematic diagram according to a fourth embodiment of the present disclosure, and as shown in fig. 6, a method for pushing material information based on a region according to the embodiment of the present disclosure includes:

s601, responding to the acquisition request, and determining first region characteristic information corresponding to the acquisition request; the acquisition request is used for indicating acquisition of material information, and the first region characteristic information represents the correlation degree of the acquisition request and the region.

For example, this step may refer to step S101, and detailed description is omitted.

S602, matching the material information in the preset material library with the region information in the preset region library to obtain third characteristic information of the material information in the preset material library; and the third characteristic information is region information included in the material information corresponding to the third characteristic information.

For example, when the second regional characteristic information is extracted from the material information in the preset material library, first, the material information in the preset material library may be matched with the regional information in the preset regional library, where the regional information in the preset regional library may be a preset country name, a preset province name, and the like, and then, the regional information included in the material information in the preset material library is used as the third characteristic information in the second regional characteristic information corresponding to the material information.

In one example, the first implementation manner of step S602 includes the following steps:

the first step of the first implementation of step S602: performing word segmentation processing on material information in a preset material library to obtain a plurality of words; the material information comprises title information and content information.

Second step of the first implementation of step S602: and matching the obtained words with the region information in the preset region library to obtain third characteristic information of the material information in the preset material library.

For example, in this embodiment, when the third characteristic information of the material information in the material library is preset, word segmentation processing may be performed on title information and content information included in the material information in the preset material library, so as to obtain a plurality of words corresponding to the material information. And then, matching the obtained words with the region information in the preset region library to further determine third characteristic information corresponding to the material information in the preset material library.

It can be understood that the matching efficiency of the material information in the preset material library and the region information in the preset region library can be improved by performing word segmentation processing on the material information in the preset material library.

In one example, the second implementation manner of step S602 includes the following steps:

the first step of the second implementation of step S602: and performing word segmentation processing on the title information of the material information in the preset material library to obtain word segmentation information of the title information.

Second step of the second implementation of step S602: and matching the word segmentation information of the title information with the region information in the preset region library to obtain a matching result.

The third step of the second implementation manner of step S602: and if the matching result represents that the preset region library has region information matched with the word segmentation information of the title information, determining the region information in the matching result as third characteristic information of the material information in the preset material library.

For example, in this implementation, when determining third feature information of the material information in the preset material library, first, word segmentation processing may be performed on topic information in the material information in the preset material library to obtain word segmentation information corresponding to the topic information, then, the word segmentation information of the topic information is matched with region information in the preset region library, and if it can be determined that the topic information has region information that is the same as the region information in the preset region library based on a matching result, the matched region information is used as the third feature information of the material information in the preset material library.

It can be understood that when the third characteristic information corresponding to the material information in the preset material library is determined, the word segmentation information corresponding to the header information may be matched with the region information of the preset region library, and if the header information has the region information identical to the region information in the preset region library, the region information is directly used as the third characteristic information of the material information, so that the problem that the word segmentation processing and subsequent matching processes are long when the content information in the material information is more is solved.

In one possible implementation manner, if the matching result represents that the preset region library does not have region information matched with the word segmentation information of the title information, performing word segmentation processing on the content information of the material information in the preset material library to obtain word segmentation information of the content information; and matching the word segmentation information of the content information with the region information in the preset region library to obtain third characteristic information of the material information in the preset material library.

Exemplarily, when the matching result corresponding to the header information in the material information in the preset material library does not include the region information in the preset region library, at this time, the word segmentation processing may be continuously performed on the content information of the material information in the preset material library, the obtained word segmentation information of the content information is matched with the region information in the preset region library, and the result obtained through the matching is used as the third feature information corresponding to the material information in the preset material library.

It can be understood that when the segmentation information corresponding to the title information of the material information does not have the region information in the preset region library, the content information of the material information is segmented and matched, and then when the matching result indicates that the region information in the preset region library exists in the content information, the matched region information is used as third feature information, otherwise, the material information does not have the third feature information, and the matching efficiency of the third feature information of the material information is improved.

S603, inputting the material information in the preset material library into a preset identification model to obtain fourth characteristic information of the material information in the preset material library; and the fourth characteristic information represents the correlation degree of the material information corresponding to the fourth characteristic information and the region.

Exemplarily, when the fourth characteristic information of the material information is determined, the material information may be input to a preset recognition model, where the preset recognition model may be used to analyze the relevance between the input material information and the region, and then the fourth characteristic information corresponding to the material information is determined based on the preset recognition model.

And S604, taking the third characteristic information of the material information in the preset material library and the fourth characteristic information of the material information in the preset material library as the second regional characteristic information of the material information in the preset material library.

For example, it should be noted that, for the second regional characteristic information of the material information in the preset material library, some material information only has the fourth characteristic information of the second regional characteristic information, and other material information simultaneously has the third characteristic information and the fourth characteristic information of the second regional characteristic information.

S605, matching material information for the acquisition request from a preset material library according to the first regional characteristic information and second regional characteristic information of the material information in the preset material library to obtain a list to be pushed; the preset material library comprises at least one piece of material information, and the material information in the preset material library has second regional characteristic information; the second regional characteristic information represents whether the material information is related to a region; the list to be pushed comprises at least one piece of material information to be displayed.

For example, this step may refer to step S102, and detailed description is omitted.

And S606, displaying the list to be pushed.

For example, this step may refer to step S103, and detailed description is omitted.

In this embodiment, the second regional characteristic information of the material information in the preset material library is extracted, so that the accuracy of pushing can be improved when the material information is subsequently pushed. In addition, the second regional characteristic information of the material information in the preset material library may be extracted in advance, or may be obtained by analyzing the material information when the acquisition request is received, and the present application is not particularly limited.

Fig. 7 is a schematic diagram according to a fifth embodiment of the present disclosure, and as shown in fig. 7, the material information pushing device based on a region provided in this embodiment includes:

a first determining unit 701, configured to determine, in response to the acquisition request, first region feature information corresponding to the acquisition request; the acquisition request is used for indicating acquisition of material information, and the first region characteristic information represents the correlation degree of the acquisition request and the region.

A first matching unit 702, configured to match the material information for the acquisition request from the preset material library according to the first regional characteristic information and second regional characteristic information of the material information in the preset material library, so as to obtain a list to be pushed; the preset material library comprises at least one piece of material information, and the material information in the preset material library has second regional characteristic information; the second regional characteristic information represents whether the material information is related to a region; the list to be pushed comprises at least one piece of material information to be displayed.

The display unit 703 is configured to display a list to be pushed.

For example, the apparatus of this embodiment may execute the technical solution in the method, and the specific implementation process and the technical principle are the same, which are not described herein again.

Fig. 8 is a schematic diagram of a sixth embodiment of the present disclosure, and as shown in fig. 8, the material information pushing device based on a region provided in this embodiment includes:

a first determining unit 801 configured to determine, in response to the acquisition request, first region feature information corresponding to the acquisition request; the acquisition request is used for indicating acquisition of material information, and the first region characteristic information represents the correlation degree of the acquisition request and the region.

The first matching unit 802 is configured to match the material information for the acquisition request from the preset material library according to the first regional characteristic information and second regional characteristic information of the material information in the preset material library to obtain a list to be pushed; the preset material library comprises at least one piece of material information, and the material information in the preset material library has second regional characteristic information; the second regional characteristic information represents whether the material information is related to a region; the list to be pushed comprises at least one piece of material information to be displayed.

A display unit 803, configured to display the list to be pushed.

In some embodiments, the first regional characteristic information includes first characteristic information and second characteristic information, or the first regional characteristic information includes second characteristic information;

if the obtaining request comprises the demand information input by the user, the first characteristic information is region information included in the demand information, and the second characteristic information represents the correlation degree of the demand information and the region.

If the acquisition request is generated in response to the triggering operation of the user, the first characteristic information is the region information acquired based on the positioning information of the user, and the second characteristic information is the region information acquired based on the historical browsing record information of the user.

In some embodiments, the second regional characteristic information includes the third characteristic information and the fourth characteristic information, or the fourth characteristic information is included in the second regional characteristic information.

The third characteristic information is region information included in the material information corresponding to the third characteristic information; and the fourth characteristic information represents the correlation degree of the material information corresponding to the fourth characteristic information and the region.

In some embodiments, the first matching unit 802 includes:

the first matching module 8021 is configured to perform matching processing on the acquisition request from material information having third feature information in a preset material library according to first feature information in the first region feature information to obtain a first candidate material; the first alternative material is material information in a preset material library.

The second matching module 8022 is configured to perform matching processing on the acquired request from the preset material library according to second feature information in the first region feature information and second region feature information of material information in the preset material library to obtain a second candidate material; and the second alternative material is material information in a preset material library.

The first determining module 8023 is configured to determine that the first candidate material and the second candidate material are both material information to be displayed, so as to obtain a list to be pushed.

In some embodiments, if the obtaining request includes the requirement information input by the user, the second matching module 8022 is specifically configured to:

and if the correlation degree represented by the second characteristic information in the first region characteristic information is smaller than or equal to a first preset threshold value, matching the requirement information from the preset material library according to the second characteristic information in the first region characteristic information and the second region characteristic information of the material information in the preset material library to obtain a second alternative material.

In some embodiments, the apparatus further comprises:

an obtaining module 8024, configured to obtain third region feature information of the user if a correlation degree represented by second feature information in the first region feature information is greater than a first preset threshold; and the third region characteristic information represents the region characteristic related to the user.

And a third matching module 8025, configured to perform matching processing on the demand information from the preset material library according to the third region characteristic information, so as to obtain a second candidate material.

In some embodiments, the third geographic characteristic information includes fifth and sixth characteristic information, where the fifth characteristic information is geographic information obtained based on the positioning information of the user; the sixth feature information is region information obtained based on the history browsing history information of the user.

In some embodiments, the third matching module 8025 includes:

the first matching submodule is used for matching the demand information from the material information with the third characteristic information in the preset material library according to the fifth characteristic information in the third region characteristic information to obtain a first matching material; the first matched material is material information in a preset material library; the fifth feature information is based on region information acquired by the positioning information of the user.

The second matching submodule is used for matching the demand information from the preset material library according to sixth characteristic information in the third region characteristic information to obtain a second matching material; the second matched material is material information in a preset material library; the sixth feature information is region information obtained based on the history browsing history information of the user.

And the first determining submodule is used for determining that the first matching material and the second matching material are both second alternative materials.

In some embodiments, among others, acquisition module 8024 includes:

the acquisition submodule is used for acquiring historical browsing record information of a user in a preset time period, hot information in the preset time period and positioning information of the user; and the hot information is the material information of which the recommendation degree is greater than a second preset threshold value.

And the removing sub-module is used for removing hot information from the historical browsing record information to obtain the removed historical browsing record information.

And the second determining submodule is used for determining third region characteristic information based on the occurrence times of the region information and the positioning information which are included in the removed historical browsing record information.

In some embodiments, the first determining module 8023 includes:

and the third determining submodule is used for determining that the first candidate material and the second candidate material are both material information to be displayed.

The fourth determining submodule is used for determining the priority of the material information to be displayed so as to obtain a list to be pushed; if the second regional characteristic information of the material information to be displayed in the list to be pushed comprises the fourth characteristic information, a negative correlation relationship exists between the correlation degree represented by the fourth characteristic information of the material information to be displayed in the list to be pushed and the priority of the material information to be displayed in the list to be pushed.

In some embodiments, the priority of the material information to be displayed with the first characteristic in the list to be pushed is higher than the priority of the material information to be displayed with the second characteristic in the list to be pushed;

the first characteristic representation material information to be displayed is obtained based on first region characteristic information; the second characteristic representation material information to be displayed is obtained based on third region characteristic information; the third region feature information represents a region feature related to the user.

In some embodiments, in the to-be-displayed material information with the first characteristic in the to-be-pushed list, the priority of the to-be-displayed material information with the first attribute is higher than the priority of the to-be-displayed material information with the second attribute;

the first attribute representation is obtained based on the first characteristic information; the second attribute represents that the material information to be displayed is obtained based on the second characteristic information.

In some embodiments, in the to-be-displayed material information having the second characteristic in the to-be-pushed list, the priority of the material information to be displayed having the third attribute is higher than the priority of the material information to be displayed having the fourth attribute.

The third attribute represents that the material information to be displayed is obtained based on fifth characteristic information of the user; the fourth attribute representation material information to be displayed is obtained based on sixth characteristic information of the user; the fifth characteristic information is region information acquired based on the positioning information of the user; the sixth feature information is region information obtained based on the history browsing history information of the user.

In some embodiments, the apparatus further comprises:

the second matching unit 804 is configured to perform matching processing on the material information in the preset material library and the region information in the preset region library to obtain third feature information of the material information in the preset material library; and the third characteristic information is region information included in the material information corresponding to the third characteristic information.

The second determining unit 805 is configured to input the material information in the preset material library into the preset identification model, so as to obtain fourth feature information of the material information in the preset material library; and the fourth characteristic information represents the correlation degree of the material information corresponding to the fourth characteristic information and the region.

In some embodiments, the second matching unit 804 includes:

the first segmentation module 8041 is configured to perform segmentation processing on the material information in the preset material library to obtain a plurality of words; the material information comprises title information and content information.

The fourth matching module 8042 is configured to perform matching processing on the obtained word and the region information in the preset region library to obtain third feature information of the material information in the preset material library.

In some embodiments, the second matching unit 804 includes:

and the second word segmentation module is used for performing word segmentation processing on the title information of the material information in the preset material library to obtain word segmentation information of the title information.

And the fifth matching module is used for matching the word segmentation information of the title information with the region information in the preset region library to obtain a matching result.

And the second determining module is used for determining the region information in the matching result as third characteristic information of the material information in the preset material library if the matching result represents that the preset region library has the region information matched with the word segmentation information of the title information.

In some embodiments, the apparatus further comprises:

and the third word segmentation module is used for performing word segmentation processing on the content information of the material information in the preset material library to obtain word segmentation information of the content information if the matching result represents that the preset region library does not have region information matched with the word segmentation information of the title information.

And the sixth matching module is used for matching the word segmentation information of the content information with the region information in the preset region library to obtain third characteristic information of the material information in the preset material library.

The present disclosure also provides an electronic device, a readable storage medium, and a computer program product according to embodiments of the present disclosure.

Fig. 9 is a schematic diagram according to a seventh embodiment of the present disclosure, and as shown in fig. 9, an electronic device 900 in the present disclosure may include: a processor 901 and a memory 902.

A memory 902 for storing programs; the Memory 902 may include a volatile Memory (RAM), such as a Static Random Access Memory (SRAM), a Double Data Rate Synchronous Dynamic Random Access Memory (DDR SDRAM), and the like; the memory may also comprise a non-volatile memory, such as a flash memory. The memory 902 is used to store computer programs (e.g., applications, functional modules, etc. that implement the above-described methods), computer instructions, etc., which may be stored in one or more of the memories 902 in a partitioned manner. And the above-described computer programs, computer instructions, data, and the like can be called by the processor 901.

The computer programs, computer instructions, etc. described above may be stored in one or more memories 902 in partitions. And the above-mentioned computer program, computer instruction, etc. can be called by the processor 901.

A processor 901 for executing the computer program stored in the memory 902 to implement the steps of the method according to the above embodiments.

Reference may be made in particular to the description relating to the preceding method embodiment.

The processor 901 and the memory 902 may be separate structures or may be an integrated structure integrated together. When the processor 901 and the memory 902 are separate structures, the memory 902 and the processor 901 may be coupled by a bus 903.

The electronic device of this embodiment may execute the technical solution in the method, and the specific implementation process and the technical principle are the same, which are not described herein again.

According to an embodiment of the present disclosure, there is also provided a non-transitory computer readable storage medium having stored thereon computer instructions for causing a computer to perform the method of the first aspect.

According to an embodiment of the present disclosure, the present disclosure also provides a computer program product comprising: a computer program, stored in a readable storage medium, from which at least one processor of the electronic device can read the computer program, the at least one processor executing the computer program causing the electronic device to perform the solution provided by any of the embodiments described above.

FIG. 10 illustrates a schematic block diagram of an example electronic device 1000 that can be used to implement embodiments of the present disclosure. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the disclosure described and/or claimed herein.

As shown in fig. 10, the apparatus 1000 includes a computing unit 1001 that can perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM)1002 or a computer program loaded from a storage unit 1008 into a Random Access Memory (RAM) 1003. In the RAM 1003, various programs and data necessary for the operation of the device 1000 can also be stored. The calculation unit 1001, the ROM 1002, and the RAM 1003 are connected to each other by a bus 1004. An input/output (I/O) interface 1005 is also connected to bus 1004.

A number of components in device 1000 are connected to I/O interface 1005, including: an input unit 1006 such as a keyboard, a mouse, and the like; an output unit 1007 such as various types of displays, speakers, and the like; a storage unit 1008 such as a magnetic disk, an optical disk, or the like; and a communication unit 1009 such as a network card, a modem, a wireless communication transceiver, or the like. The communication unit 1009 allows the device 1000 to exchange information/data with other devices through a computer network such as the internet and/or various telecommunication networks.

Computing unit 1001 may be a variety of general and/or special purpose processing components with processing and computing capabilities. Some examples of the computing unit 1001 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various dedicated Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, and so forth. The calculation unit 1001 performs the respective methods and processes described above, such as the region-based material information push method. For example, in some embodiments, the geographic-based material information pushing method may be implemented as a computer software program tangibly embodied in a machine-readable medium, such as the storage unit 1008. In some embodiments, part or all of the computer program may be loaded and/or installed onto device 1000 via ROM 1002 and/or communications unit 1009. When the computer program is loaded into the RAM 1003 and executed by the computing unit 1001, one or more steps of the method region-based material information pushing method described above may be performed. Alternatively, in other embodiments, the computing unit 1001 may be configured to perform the zone-based material information push method by any other suitable means (e.g. by means of firmware).

Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), system on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.

Program code for implementing the methods of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the program codes, when executed by the processor or controller, cause the functions/operations specified in the flowchart and/or block diagram to be performed. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.

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

To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), and the Internet.

The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The Server can be a cloud Server, also called a cloud computing Server or a cloud host, and is a host product in a cloud computing service system, so as to solve the defects of high management difficulty and weak service expansibility in the traditional physical host and VPS service ("Virtual Private Server", or simply "VPS"). The server may also be a server of a distributed system, or a server incorporating a blockchain.

It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present disclosure may be executed in parallel, sequentially, or in different orders, and are not limited herein as long as the desired results of the technical solutions disclosed in the present disclosure can be achieved.

The above detailed description should not be construed as limiting the scope of the disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present disclosure should be included in the scope of protection of the present disclosure.

Claims

1. A material information pushing method based on regions comprises the following steps:

and displaying the list to be pushed.

2. The method according to claim 1, wherein the first geographic characteristic information includes first characteristic information and second characteristic information, or the first geographic characteristic information includes second characteristic information;

if the acquisition request comprises demand information input by a user, the first characteristic information is region information included in the demand information, and the second characteristic information represents the correlation degree of the demand information and the region;

if the acquisition request is generated in response to the triggering operation of the user, the first characteristic information is region information acquired based on the positioning information of the user, and the second characteristic information is region information acquired based on the historical browsing record information of the user.

3. The method according to claim 2, wherein the second regional characteristic information comprises third characteristic information and fourth characteristic information, or the second regional characteristic information comprises fourth characteristic information;

4. The method according to claim 3, wherein matching material information for the acquisition request from a preset material library according to the first regional characteristic information and second regional characteristic information of the material information in the preset material library to obtain a list to be pushed comprises:

according to first feature information in the first region feature information, matching processing is carried out on the acquisition request from material information with third feature information in the preset material library to obtain a first alternative material; the first alternative material is material information in the preset material library;

according to second characteristic information in the first regional characteristic information and second regional characteristic information of the material information in the preset material library, matching processing is carried out on the obtained request from the preset material library to obtain a second alternative material; the second alternative material is material information in the preset material library;

determining that the first candidate material and the second candidate material are both the information of the materials to be displayed, so as to obtain the list to be pushed.

5. The method according to claim 4, wherein if the request includes demand information input by a user, performing matching processing on the request from the preset material library according to second feature information in the first region feature information and second region feature information of material information in the preset material library to obtain a second candidate material, including:

and if the represented correlation degree of second feature information in the first region feature information is smaller than or equal to a first preset threshold value, performing matching processing on the demand information from the preset material library according to the second feature information in the first region feature information and the second region feature information of the material information in the preset material library to obtain a second alternative material.

6. The method of claim 5, further comprising:

if the correlation degree represented by second feature information in the first region feature information is greater than the first preset threshold, acquiring third region feature information of the user; the third region feature information represents a region feature related to the user;

and matching the demand information from the preset material library according to the third region characteristic information to obtain a second alternative material.

7. The method according to claim 6, wherein the third geographic characteristic information includes fifth and sixth characteristic information, wherein the fifth characteristic information is geographic information obtained based on the positioning information of the user; the sixth feature information is region information obtained based on the historical browsing history information of the user.

8. The method according to claim 6 or 7, wherein the matching processing is performed on the demand information from the preset material library according to the third regional characteristic information to obtain a second candidate material, and the matching processing includes:

according to fifth characteristic information in the third region characteristic information, matching processing is carried out on the demand information from material information with third characteristic information in the preset material library to obtain a first matched material; the first matching material is material information in the preset material library; the fifth feature information is based on region information obtained by the positioning information of the user;

according to sixth characteristic information in the third region characteristic information, matching processing is carried out on the demand information from the preset material library to obtain a second matching material; the second matching material is material information in the preset material library; the sixth characteristic information is region information acquired based on the historical browsing record information of the user;

and determining that the first matching material and the second matching material are the second alternative material.

9. The method according to any one of claims 6 to 8, wherein the obtaining of the third regional characteristic information of the user comprises:

acquiring historical browsing record information of the user in a preset time period, hot information in the preset time period and positioning information of the user; the hot information is material information of which the recommendation degree is greater than a second preset threshold;

removing the hot information from the historical browsing record information to obtain the removed historical browsing record information;

and determining the third region characteristic information based on the occurrence frequency of the region information included in the rejected historical browsing record information and the positioning information.

10. The method according to any one of claims 4 to 9, wherein determining that the first candidate material and the second candidate material are both the material information to be displayed to obtain the list to be pushed comprises:

determining that the first candidate material and the second candidate material are both the material information to be displayed;

determining the priority of the material information to be displayed to obtain the list to be pushed; if the second regional characteristic information of the material information to be displayed in the list to be pushed comprises fourth characteristic information, a negative correlation relationship is formed between the correlation degree represented by the fourth characteristic information of the material information to be displayed in the list to be pushed and the priority of the material information to be displayed in the list to be pushed.

11. The method according to claim 10, wherein the priority of the material information to be displayed with the first characteristic in the list to be pushed is higher than the priority of the material information to be displayed with the second characteristic in the list to be pushed;

the first characteristic representation material information to be displayed is obtained based on the first region characteristic information; the second characteristic representation material information to be displayed is obtained based on third region characteristic information; the third region feature information represents a region feature related to the user.

12. The method according to claim 11, wherein, in the material information to be displayed having the first characteristic in the list to be pushed, the priority of the material information to be displayed having the first attribute is higher than the priority of the material information to be displayed having the second attribute;

the first attribute representation material information to be displayed is obtained based on the first characteristic information; the second attribute representation material information to be displayed is obtained based on the second characteristic information.

13. The method according to claim 11, wherein, in the material information to be displayed having the second characteristic in the list to be pushed, the priority of the material information to be displayed having the third attribute is higher than the priority of the material information to be displayed having the fourth attribute;

the third attribute represents material information to be displayed, and the third attribute represents the material information to be displayed and is obtained based on fifth characteristic information of the user; the fourth attribute representation material information to be displayed is obtained based on sixth characteristic information of the user; the fifth characteristic information is region information acquired based on the positioning information of the user; the sixth feature information is region information obtained based on the historical browsing history information of the user.

14. The method of any of claims 1-13, further comprising:

matching the material information in the preset material library with the region information in the preset region library to obtain third characteristic information of the material information in the preset material library; the third characteristic information is region information included in the material information corresponding to the third characteristic information;

inputting the material information in the preset material library into a preset identification model to obtain fourth characteristic information of the material information in the preset material library; and the fourth characteristic information represents the correlation degree of the material information corresponding to the fourth characteristic information and the region.

15. The method according to claim 14, wherein the matching processing of the material information in the preset material library and the region information in the preset region library to obtain the third characteristic information of the material information in the preset material library comprises:

performing word segmentation processing on the material information in the preset material library to obtain a plurality of words; wherein the material information comprises title information and content information;

and matching the obtained words with the region information in the preset region library to obtain third characteristic information of the material information in the preset material library.

16. The method according to claim 14, wherein the matching processing of the material information in the preset material library and the region information in the preset region library to obtain the third characteristic information of the material information in the preset material library comprises:

performing word segmentation processing on the title information of the material information in the preset material library to obtain word segmentation information of the title information;

matching the word segmentation information of the title information with the region information in the preset region library to obtain a matching result;

and if the matching result represents that the preset region library has region information matched with the word segmentation information of the title information, determining the region information in the matching result as third characteristic information of the material information in the preset material library.

17. The method of claim 16, further comprising:

if the matching result represents that the preset region library does not have region information matched with the word segmentation information of the title information, performing word segmentation processing on the content information of the material information in the preset material library to obtain word segmentation information of the content information;

and matching the word segmentation information of the content information with the region information in the preset region library to obtain third characteristic information of the material information in the preset material library.

18. A material information pusher based on region includes:

and the display unit is used for displaying the list to be pushed.

19. The apparatus according to claim 18, wherein the first geographic characteristic information includes first and second characteristic information, or the first geographic characteristic information includes second characteristic information;

20. The apparatus according to claim 19, wherein the second regional characteristic information includes third characteristic information and fourth characteristic information, or the second regional characteristic information includes fourth characteristic information;

21. The apparatus of claim 20, wherein the first matching unit comprises:

the first matching module is used for matching the acquisition request from material information with third characteristic information in the preset material library according to first characteristic information in the first region characteristic information to obtain a first alternative material; the first candidate material is material information in the preset material library;

the second matching module is used for matching the acquired request from the preset material library according to second characteristic information in the first regional characteristic information and second regional characteristic information of the material information in the preset material library to obtain a second alternative material; the second alternative material is material information in the preset material library;

the first determining module is configured to determine that the first candidate material and the second candidate material are both the information of the material to be displayed, so as to obtain the list to be pushed.

22. The apparatus according to claim 21, wherein if the request includes the requirement information input by the user, the second matching module is specifically configured to:

and if the correlation degree represented by second characteristic information in the first regional characteristic information is smaller than or equal to a first preset threshold value, matching the requirement information from the preset material library according to the second characteristic information in the first regional characteristic information and the second regional characteristic information of the material information in the preset material library to obtain a second alternative material.

23. The apparatus of claim 22, further comprising:

the obtaining module is configured to obtain third region feature information of the user if a correlation degree represented by second feature information in the first region feature information is greater than the first preset threshold; the third region feature information represents a region feature related to the user;

and the third matching module is used for matching the demand information from the preset material library according to the third region characteristic information to obtain a second alternative material.

24. The apparatus of claim 23, wherein the third geographic characteristic information includes fifth and sixth geographic characteristic information, wherein the fifth geographic characteristic information is geographic information obtained based on the positioning information of the user; the sixth feature information is region information obtained based on the historical browsing history information of the user.

25. The apparatus of claim 23 or 24, wherein the third matching module comprises:

the first matching submodule is used for matching the requirement information from the material information with the third characteristic information in the preset material library according to the fifth characteristic information in the third region characteristic information to obtain a first matched material; the first matching material is material information in the preset material library; the fifth feature information is based on region information obtained by the positioning information of the user;

the second matching submodule is used for performing matching processing on the demand information from the preset material library according to sixth feature information in the third region feature information to obtain a second matched material; the second matching material is material information in the preset material library; the sixth characteristic information is region information acquired based on the historical browsing record information of the user;

and the first determining submodule is used for determining that the first matching material and the second matching material are the second alternative material.

26. The apparatus of any one of claims 23-25, wherein the obtaining means comprises:

the acquisition submodule is used for acquiring historical browsing record information of the user in a preset time period, hot information in the preset time period and positioning information of the user; the hot information is material information of which the recommendation degree is greater than a second preset threshold;

the removing sub-module is used for removing the hot information from the historical browsing record information to obtain the removed historical browsing record information;

and the second determining submodule is used for determining the third region characteristic information based on the occurrence frequency of the region information included in the removed historical browsing record information and the positioning information.

27. The apparatus of any of claims 21-26, wherein the first determining means comprises:

the third determining submodule is used for determining that the first alternative material and the second alternative material are both the material information to be displayed;

the fourth determining submodule is used for determining the priority of the material information to be displayed so as to obtain the list to be pushed; if the second regional characteristic information of the material information to be displayed in the list to be pushed comprises fourth characteristic information, a negative correlation relationship exists between the correlation degree represented by the fourth characteristic information of the material information to be displayed in the list to be pushed and the priority of the material information to be displayed in the list to be pushed.

28. The device of claim 27, wherein the priority of the material information to be displayed in the list to be pushed, which has a first characteristic, is higher than the priority of the material information to be displayed in the list to be pushed, which has a second characteristic;

29. The apparatus according to claim 28, wherein, among the material information to be displayed having the first characteristic in the list to be pushed, the priority of the material information to be displayed having the first attribute is higher than the priority of the material information to be displayed having the second attribute;

30. The apparatus according to claim 28, wherein, of the to-be-displayed material information having the second characteristic in the to-be-pushed list, the priority of the to-be-displayed material information having the third attribute is higher than the priority of the to-be-displayed material information having the fourth attribute;

31. The apparatus of any of claims 19-30, further comprising:

the second matching unit is used for matching the material information in the preset material library with the region information in the preset region library to obtain third characteristic information of the material information in the preset material library; the third characteristic information is region information included in the material information corresponding to the third characteristic information;

the second determining unit is used for inputting the material information in the preset material library into a preset identification model to obtain fourth characteristic information of the material information in the preset material library; and the fourth characteristic information represents the correlation degree of the material information corresponding to the fourth characteristic information and the region.

32. The apparatus of claim 31, wherein the second matching unit comprises:

the first word segmentation module is used for carrying out word segmentation on the material information in the preset material library to obtain a plurality of words; wherein the material information comprises title information and content information;

and the fourth matching module is used for matching the obtained words with the region information in the preset region library to obtain third characteristic information of the material information in the preset material library.

33. The apparatus of claim 31, wherein the second matching unit comprises:

the second word segmentation module is used for performing word segmentation processing on the title information of the material information in the preset material library to obtain word segmentation information of the title information;

the fifth matching module is used for matching the word segmentation information of the title information with the region information in the preset region library to obtain a matching result;

34. The apparatus of claim 33, further comprising:

the third word segmentation module is used for performing word segmentation processing on the content information of the material information in the preset material library to obtain word segmentation information of the content information if the matching result represents that the preset region library does not have region information matched with the word segmentation information of the title information;

35. An electronic device, comprising:

at least one processor; and

the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-17.

36. A non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method of any one of claims 1-17.

37. A computer program product comprising a computer program which, when executed by a processor, carries out the steps of the method of any one of claims 1 to 17.