CN114186123A

CN114186123A - Processing method, device and equipment for hotspot event and storage medium

Info

Publication number: CN114186123A
Application number: CN202111310198.XA
Authority: CN
Inventors: 王鹏; 刘明汉; 刘伟; 张博; 林赛群
Original assignee: Beijing Baidu Netcom Science and Technology Co Ltd
Current assignee: Beijing Baidu Netcom Science and Technology Co Ltd
Priority date: 2021-11-05
Filing date: 2021-11-05
Publication date: 2022-03-15

Abstract

The present disclosure provides a processing method and apparatus for a hotspot event, an electronic device, a storage medium, and a computer program product, which relate to the technical field of data processing, and in particular, to the fields of artificial intelligence, cloud computing, big data, NLP, intelligent search, intelligent recommendation, a knowledge graph, and the like, and may be applied to scenes such as monitoring/tracking of a hotspot event. The specific implementation scheme is as follows: acquiring at least one keyword; in response to determining that the at least one keyword is a hotspot word, determining a hotspot event corresponding to the at least one keyword; and periodically acquiring information resources of the hot events according to the heat degree change trend of the hot events.

Description

Processing method, device and equipment for hotspot event and storage medium

Technical Field

The method relates to the technical field of data processing, in particular to the fields of artificial intelligence, cloud computing, big data, NLP, intelligent search, intelligent recommendation, knowledge maps and the like, and can be applied to scenes such as monitoring/tracking of hot events.

Background

Some hot events are generated every day on the Internet, the prediction effect of the change trend and the decay period of the hot events is improved by accurately capturing information resources related to the hot events, and the intelligent recommendation effect and the intelligent search effect are improved by accurately predicting the change trend and the decay period of the hot events. At present, how to accurately capture information resources related to hot events is an urgent problem to be solved in the industry.

Disclosure of Invention

The present disclosure provides a processing method, apparatus, device, storage medium, and computer program product for a hotspot event.

According to an aspect of the present disclosure, there is provided a processing method for a hotspot event, including: acquiring at least one keyword; in response to determining that the at least one keyword is a hotspot word, determining a hotspot event corresponding to the at least one keyword; and periodically acquiring information resources of the hot events according to the heat degree change trend of the hot events.

According to another aspect of the present disclosure, there is provided a processing apparatus for a hotspot event, comprising: the keyword acquisition module is used for acquiring at least one keyword; the hot event determining module is used for determining a hot event corresponding to the at least one keyword in response to determining that the at least one keyword is a hot word; and the information resource acquisition module is used for periodically acquiring the information resources of the hot events according to the heat degree change trend of the hot events.

According to another aspect of the present disclosure, there is provided an electronic device including: at least one processor; and a memory communicatively coupled to the at least one processor; the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method of the embodiments of the disclosure.

According to another aspect of the present disclosure, there is provided a non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method according to the embodiment of the present disclosure.

According to another aspect of the present disclosure, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the above-mentioned method according to an embodiment of the present disclosure.

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 illustrates a system architecture of a processing method and apparatus for hotspot events suitable for embodiments of the present disclosure;

FIG. 2 illustrates a flow chart of a processing method for a hotspot event according to an embodiment of the disclosure;

FIG. 3 illustrates a schematic diagram of handling a hotspot event, according to an embodiment of the present disclosure;

FIG. 4 illustrates a flow diagram of a processing method for a hotspot event according to another embodiment of the present disclosure;

FIG. 5 illustrates a block diagram of a processing device for hotspot events, according to an embodiment of the present disclosure;

fig. 6 illustrates a block diagram of an electronic device to implement the method and apparatus for processing of hotspot events of the disclosed embodiments.

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.

In some embodiments, for a hot event, corresponding information resources (such as a microblog click amount, a forwarding amount, comments, a comment amount, and the like about the hot event) may be captured according to a preset fixed period. For example, the information resource may be captured every 5 minutes.

It is understood that hot-spot events (e.g., social hot-spot problems) are generally characterized by epoch-making, challenge, prevalence, sensitivity, and rheology. From the rheological point of view, the heat of the hot spot event usually has a sharp rising trend in the rising period and finally reaches a peak value in the transition period, while the decay trend is relatively slow in the rising period and the heat almost approaches a 0 value state in the convergence period. Generally speaking, most hot-spot events come and go quickly, but in the development process, the hot-spot events usually have continuous attention even after decay, so the hot-spot events usually experience a relatively slow long tail decay period.

Therefore, without considering the variation trend of the hot event, the information resources of the hot event are captured only at a fixed period, some key information resources may be missed, and further the variation trend and the decay period of the hot event may not be accurately and effectively predicted, and further the effects of intelligent recommendation and intelligent search may be affected.

In contrast, according to the method and the device for processing the hotspot event, provided by the embodiment of the disclosure, the interval period of capturing the information resources of the hotspot event can be adaptively adjusted according to the heat degree change trend of the hotspot event, so that some key information resources can be avoided from being missed, the change trend and the decay period of the hotspot event can be accurately and effectively predicted, and the effects of intelligent recommendation and intelligent search can be improved.

The present disclosure will be described in detail below with reference to the drawings and specific embodiments.

A system architecture suitable for the method and apparatus for processing of hotspot events of the disclosed embodiments is presented below.

Fig. 1 illustrates a system architecture suitable for the method and apparatus for processing of hotspot events of embodiments of the present disclosure. It should be noted that fig. 1 is only an example of a system architecture to which the embodiments of the present disclosure may be applied to help those skilled in the art understand the technical content of the present disclosure, but does not mean that the embodiments of the present disclosure may not be used in other environments or scenarios.

As shown in fig. 1, the system architecture 100 in the embodiment of the present disclosure may include:

terminal devices

101, 102, 103, a network 104 and a server 105. The network 104 serves as a medium for providing communication links between the

terminal devices

101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired and/or wireless communication links, and so forth.

The user may use the

terminal devices

101, 102, 103 to interact with the server 105 via the network 104 to receive or send messages or the like. The

terminal devices

101, 102, 103 may have installed thereon various communication client applications, such as a web browser application, a search-type application, and the like.

The

terminal devices

101, 102, 103 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.

The server 105 may be a server providing various services, such as a background management server (for example only) providing support for websites browsed by users using the

terminal devices

101, 102, 103. The background management server may analyze and perform other processing on the received data such as the search term input by the user, and push a processing result (for example, a hot event determined according to the hot search term input by the user) to the terminal device. The term of the hot search may be understood as a term of which the search frequency reaches a preset threshold within a preset time period (e.g., 3 minutes, 5 minutes, etc.).

It should be noted that the method for processing a hotspot event provided by the embodiment of the present disclosure may be generally executed by the server 105. Accordingly, the apparatus for processing a hotspot event provided by the embodiments of the present disclosure may be generally disposed in the server 105. The method for processing the hotspot event according to the embodiment of the present disclosure may also be performed by a server or a server cluster that is different from the server 105 and is capable of communicating with the

terminal devices

101, 102, 103 and/or the server 105. Correspondingly, the apparatus for processing the hotspot event provided by the embodiment of the present disclosure may also be disposed in a server or a server cluster different from the server 105 and capable of communicating with the

terminal devices

101, 102, 103 and/or the server 105. Alternatively, the method for processing the hotspot event provided by the embodiment of the present disclosure may also be executed by the

terminal device

101, 102, or 103, or may also be executed by another terminal device different from the

terminal device

101, 102, or 103. Correspondingly, the apparatus for processing the hotspot event provided by the embodiment of the present disclosure may also be disposed in the

terminal device

101, 102, or 103, or in another terminal device different from the

terminal device

101, 102, or 103.

It should be understood that the number of terminal devices in fig. 1 is merely illustrative. There may be any number of terminal devices, as desired for implementation.

Application scenarios of the method and apparatus for processing of hotspot events suitable for embodiments of the present disclosure are presented below.

For example, the method provided by the embodiment of the present disclosure may be applied to scenes such as intelligent recommendation, topic discussion, and a heat conference, and the present disclosure is not limited herein.

According to an embodiment of the present disclosure, a processing method for a hotspot event is provided.

As shown in fig. 2, in the embodiment of the present disclosure, the processing method 200 for a hotspot event may include operations S210 to S230.

In operation S210, at least one keyword is acquired.

The keywords may represent words with some attention, and the attention may be determined by the search volume and click volume of a word in a past predetermined time period of 10 minutes, 1 hour, a week, and the like. Keywords may include an event, the location where the event occurred, the name of the event, and the like.

In the embodiment of the present disclosure, the manner of obtaining the keyword is not limited. In one example, the keywords may be extracted by performing keyword segmentation based on the search terms input by the user in the application program such as a browser or App. For example, if the user inputs "an engine of a certain brand of automobile", the user may extract "the certain brand of automobile" and "the engine" as keywords, or may extract "the certain brand" and "the automobile" as keywords. In another example, the keywords may be preset by a worker responsible for processing the hot event, for example, the worker designates words such as "national day festival", "mid-autumn festival" and the like as the keywords.

In operation S220, in response to determining that the at least one keyword is a hotspot word, a hotspot event corresponding to the at least one keyword is determined.

In the embodiment of the present disclosure, a manner of determining whether the keyword is a hot word is not limited. In one example, a hotspot word may be determined from a plurality of keywords based on user attention. For example, among the plurality of keywords, a word with a high degree of attention is determined as a hot word, and a word with a low degree of attention is determined as a non-hot word. In one example, whether a keyword can be a hotspot word may be evaluated based on the user's attention to other words associated with the keyword. For example, if a keyword is the name of a person who graduates to a known school and the person has an association with the known school, the known school may increase the probability that the keyword becomes a hotspot.

The keywords correspond to the hotspot events and may include: the hot event is an event directly related to the keyword. It can also be understood that: the language for describing the hot event directly includes the keyword corresponding to the hot event. For example, at least one keyword includes "city a", "health event", "20 persons", and "confirmed", then the hotspot event corresponding to the at least one keyword may be "health event occurred in city a, 20 persons confirmed". For example, if the at least one keyword includes "brand a car" and "oil leakage from oil tank", the hot event corresponding to the at least one keyword may be "oil leakage from oil tank problem in brand a car".

In operation S230, according to the heat degree variation trend of the hot event, information resources are periodically acquired from the hot event.

The trend of the heat change may include a trend of increasing heat, decreasing heat, tending to a steady state at a high point of heat, tending to a steady state at a low point of heat, and the like. The heat degree change trend can be used for representing the change rate of the attention degree of the user to the hot event.

In one example, the information resource may include propagation information of the media resource relating to the hotspot event. Media assets may include articles, videos, pictures, motion pictures, and the like. The dissemination information may include one or more of review information, review amount, forwarding amount, and approval amount.

In another example, the information resource may include voting statistics for the hotspot event.

According to the embodiment of the disclosure, because the information resources are periodically acquired from the hot event according to the heat degree change trend of the hot event, more accurate information resources can be acquired, and key information resources can be prevented from being missed or omitted, so that the effect of accurately predicting the development trend and the decay period of the hot event can be achieved.

According to another embodiment of the present disclosure, it is considered that the hotspot event has a characteristic that the heat degree varies with time. The heat of the hot spot event may rise rapidly in a short time and then reach a peak. Then gradually decline from the peak value, the decline trend is relatively slow compared with the ascending trend, and the hot spot event in the decline process usually receives continuous attention, so that the hot spot event experiences a longer decline period. In addition, after the heat of some hot spot events reaches one peak, the decay process may also rise again and reach another peak, and gradually decay from the other peak downwards.

It can be seen that the development cycle of the hot spot event can be divided into different stages according to the heat degree variation condition of the hot spot event, for example, the development cycle of the hot spot event can include a rise period, a peak period (also called a transition period), a fall period and a convergence period (also called a long tail period).

In one example, the periodic acquisition of the information resource for the hotspot event according to the heat degree change trend of the hotspot event may include the following operations.

For example, in the case that the heat of the hotspot event continuously rises, the information resource may be periodically acquired from the hotspot event in a manner of decreasing the interval period.

It should be noted that the hot event is continuously increasing in heat, which means that the hot event is in an increasing period, and the user's attention to the hot event is continuously increasing. Further, the following may occur: the first time period is a time period which is equal in duration before the second time period, and the information resources related to the hotspot event generated in the second time period are more than the information resources related to the hotspot event generated in the first time period. For example, 1 ten thousand comments related to a hot event are generated between 7 o 'clock and 10 o' clock and 2 ten thousand comments related to the hot event are generated between 7 o 'clock and 10 o' clock and 7 o 'clock and 20 o' clock as the degree of heat increases. It is expected that during the ramp-up period, the heat of the hot spot event will have a tendency to increase explosively.

In the embodiment of the disclosure, in order to avoid the problem that a part of key information resources are missed due to a long interval period for acquiring the information resources, the interval period for acquiring the information resources is gradually shortened in the rise period of the hotspot event, so that probability distribution of the information resources in different time periods can be captured as much as possible, and a variation trend of the hotspot event can be fitted as much as possible and truly.

In another example, according to another embodiment of the present disclosure, the periodically acquiring information resources for a hotspot event according to a heat degree variation trend of the hotspot event may include the following operations.

For example, in a case that the heat degree of the hot spot event rises to a stable value range, the periodic acquisition of the information resource may be performed on the hot spot event at an interval period smaller than the first threshold.

It should be noted that the heat degree of the hot spot event rises to a stable range of values, which indicates that the hot spot event is in the peak period, and the attention degree of the user to the hot spot event substantially reaches the highest value. In the same time period, the amount of information resources generated by the hot spot event in the peak period is far higher than the amount of information resources generated by the hot spot event in the rising period. Illustratively, the first threshold may be set to 3 minutes, 5 minutes, etc., depending on the actual situation.

In the embodiment of the disclosure, for a hot spot event in a peak period, in order to further improve the accuracy of the acquired information resource so as to more accurately fit the change trend and the decay period of the hot spot event, the interval period for acquiring the information resource may be shortened to be within the first threshold.

In another example, the periodic acquisition of the information resource for the hotspot event according to the trend of the change of the heat degree of the hotspot event may include the following operations.

For example, in the case that the heat of the hotspot event is decreasing, the information resource may be periodically acquired from the hotspot event in a periodically increasing manner.

It should be noted that the heat of the hot spot event is continuously decreased, which indicates that the hot spot event is in a decrease period, and the attention of the user to the hot spot event is continuously decreased. Further, the following may occur: the first time period is an equal-duration time period before the second time period, and the information resource related to the hotspot event generated in the second time period is less than the information resource related to the hotspot event generated in the first time period.

In the embodiment of the present disclosure, a problem of wasting cost due to a situation that a lot of cost (for example, using a server with a higher performance to process data or using a database with a higher performance to store data) is used to acquire and process low-heat information resources due to a short interval period for acquiring information resources is avoided. The embodiment of the disclosure increases the interval period for acquiring the information resource, thereby achieving the effect of reducing the cost.

For example, in the case that the heat of the hot spot event is reduced to another stable value range, the periodic acquisition of the information resource may be performed on the hot spot event at an interval period greater than the second threshold.

It should be noted that the degree of heat of the hot spot event is reduced to another stable value range, which indicates that the hot spot event is in a convergence period, and the degree of attention of the user to the hot spot event is reduced to a lower level or even is no longer concerned. In the same time period, the amount of information resources generated by the hot spot event in the convergence period is far lower than that generated by the hot spot event in the descent period. For example, the second threshold may be set to 7 days, 15 days, etc., according to actual conditions.

In the embodiment of the disclosure, in order to further reduce the cost required for acquiring and processing the information resource for the hot spot event in the convergence period, the interval period for acquiring the information resource is increased to be greater than or equal to the second threshold.

According to another embodiment of the present disclosure, the processing method for a hotspot event may further include the following operations.

Illustratively, after obtaining the at least one keyword, at least one hotspot event associated with the at least one keyword is determined. And acquiring attribute characteristics of at least one hotspot event. And determining whether at least one keyword is a hot word according to the attribute characteristics.

It should be noted that, associating the hotspot event with the keyword may include: the hotspot event is not an event directly related to the keyword, but an event having some relation to the keyword. For example, if the at least one keyword includes "a city", "health event", "20 persons", and "confirmed diagnosis", the hotspot event associated with the at least one keyword may be "a high risk area for health event in a certain county in a city", or "a certain hospital in a city may perform health detection". For example, if the at least one keyword includes "brand a car" and "fuel tank leakage", the hot event associated with the at least one keyword may be "fuel tank leakage problem for brand B car" or "engine failure of brand a car".

The attribute characteristics of the hotspot event can include at least one of a historical frequency of occurrence of the hotspot event, a hotspot outbreak index, a hotspot decay index, a hotspot generalization index, a hotspot re-crest index, a hotspot new resource productivity, and a hotspot cumulative resource productivity.

The above-described historical occurrence frequency indicates the number of occurrences within a predetermined time in the past, for example, the number of occurrences in the last 7 days. The hotspot burst index is used to quantify the rising speed, probability and probability of the keyword, for example, a keyword with a higher rate of increase of the number of times of retrieval has a higher hotspot burst index, and a keyword with a lower rate of increase of the number of times of retrieval or a negative rate of increase has a lower hotspot burst index in a plurality of predetermined periods. The hotspot decay index is used to quantify the rate of decline, likelihood, and probability of a keyword. The hotspot generalization index is used for quantifying the incidence relation between the keyword and other keywords, for example, the hotspot generalization index between the "health event" and the "health detection" is higher, and the hotspot generalization index between the "health event" and the "game play" is lower. The hot spot re-peak index is used for quantifying the periodicity of the keyword, i.e. whether the keyword appears periodically or not, for example, the "health event occurs" more easily and repeatedly than the "traffic accident occurring at a certain place", so that the hot spot re-peak index of the "health event" is higher than the hot spot re-peak index of the "traffic accident occurring at a certain place". The hot new resource productivity indicates the amount of information resources generated by a certain hot event in a short preset time, for example, the number of comments, the number of prawns and the forwarding amount generated by a keyword in a day. The hotspot cumulative resource productivity indicates the amount of information resources generated by a certain hotspot event in a longer predetermined time, for example, the number of comments, the number of praises, the forwarding amount, and the like, generated by a keyword in one month.

After obtaining a plurality of attribute features of at least one keyword, a score of the at least one keyword can be calculated based on the attribute features, and whether the at least one keyword is a hotspot word is judged based on the score. For example, different weights may be given to different attribute features, and a weighted sum of a plurality of attribute features may be calculated as a score of the at least one keyword. Keywords having scores exceeding a predetermined value may then be determined as hotspot words.

In the embodiment of the disclosure, the keywords are evaluated according to the attribute characteristics, so that whether the keywords can become the hot words or not is quantified, and the effect of accurately screening the hot words from a plurality of keywords is achieved.

According to another embodiment of the present disclosure, the operation of obtaining at least one keyword may include the following operations.

And acquiring at least one keyword based on at least one search word.

It should be noted that the search term may be derived from the content that the user inputs in the application program such as a browser or App and wants to search.

In one example, after a search term is obtained from search content input by a user, a word segmentation process may be performed on the search term to obtain a keyword. For example, if the search term includes "a city, B county health event", the keywords obtained after the word segmentation process may include "a county", "B county" and "health event".

It should be noted that, in order to ensure the effectiveness of the keyword, the search term may be periodically obtained. For example, at least one search term is acquired in the current period, and then at least one keyword of the current period is determined based on the acquired at least one search term. And acquiring a new search word in the next period, and determining a new keyword based on the new search word.

In the embodiment of the disclosure, the keywords are obtained by searching the search terms, especially by searching the search terms thermally, and the search terms are actively searched by the user according to personal preference, questions and other factors, so that the content most concerned by the user at present can be more accurately reflected, and the keywords with high attention can be obtained.

And predicting the heat degree change trend and/or the decay period of the hot spot event according to the periodically acquired information resources.

For example, the information resources acquired in the current period may be compared with the information resources acquired in the historical period, where the historical period may be the previous period, a difference between the information resources in the two periods is obtained, and then a heat degree change trend and/or a decay period is determined.

For example, if the forwarding amount of a hot event in the current period is 1 ten thousand times, and the forwarding amount of the hot event in the last period is 1 thousand times, it may be determined that the hot event is in the rise period, the heat degree of the hot event is gradually increased, and the decay period of the hot event has a longer time.

According to the embodiment of the disclosure, the heat degree change trend and/or the decay period of the hotspot event are predicted by using the periodically acquired information resources, and then the related information of the hotspot event can be pushed according to the heat degree change trend and/or the decay period. For example, media resources related to hot events with increasing popularity are pushed to more users, and meanwhile, the pushing of hot events with decreasing popularity to a stable numerical range is reduced, so that the intelligent recommendation effect can be improved.

According to another embodiment of the present disclosure, the operation of predicting the heat degree change trend and/or the fading period of the hotspot event according to the periodically acquired information resource may include the following operations.

And determining the attribute characteristics of the hot event according to the periodically acquired information resources. And predicting the heat degree change trend and/or the decay period of the hot spot event according to the attribute characteristics.

It is noted that the attribute characteristics may include at least one of a historical frequency of occurrence, a hotspot outbreak index, a hotspot decay index, a hotspot generalization index, a hotspot re-crest index, a hotspot new resource productivity, and a hotspot cumulative resource productivity.

After determining the plurality of attribute features for the hotspot event, scores for the plurality of attribute features may be computed. The heat trend and/or decay period of the hotspot event may then be determined from the fractional difference between the different periods.

In the embodiment of the disclosure, the hotspot event is evaluated according to the attribute characteristics, so that the effect of accurately predicting the heat degree change trend and/or the decay period of the hotspot event can be achieved.

FIG. 3 illustrates a schematic diagram of handling a hotspot event, according to an embodiment of the disclosure.

As shown in fig. 3, the user inputs at least one search term, and may perform a word segmentation process on the at least one search term through operation S310 to obtain at least one keyword. Then, generalization processing may be performed on the at least one keyword according to the accumulated attribute features of the hotspot events in operation S320, so as to obtain at least one hotspot event associated with the at least one keyword. Then, it is determined whether the keyword is a hotspot word through operation S330 according to the attribute characteristics of the hotspot event associated with the keyword. In the case that the keyword is determined to be a hot word, a hot event associated with the hot word is further determined. Then, operation S340 is performed, that is, according to the heat degree variation trend of the hot spot event, information resources of the hot spot event are periodically acquired. If the keyword is a non-hot word, operation S350 is performed, that is, the operation is ended.

Fig. 4 illustrates a flowchart of a processing method for a hotspot event according to another embodiment of the present disclosure.

As shown in fig. 4, the following describes a processing method for a hotspot event according to a specific embodiment. The method includes operations S410 through S480. It will be understood by those skilled in the art that the following examples are illustrative only, and the present disclosure is not limited thereto.

In operation S410, at least one keyword is acquired based on at least one search term.

In operation S420, at least one hotspot event associated with at least one keyword is determined.

In operation S430, attribute characteristics of at least one hotspot event are acquired.

In operation S440, it is determined whether at least one keyword is a hotspot word according to the attribute characteristics. If so, the process proceeds to operation S450. If not, operation S480 is performed, and the process ends.

In operation S450, a hotspot event corresponding to at least one keyword is determined.

In operation S460, the information resource is periodically acquired from the hot event according to the heat degree variation trend of the hot event.

In operation S470, the attribute characteristics of the hotspot event are determined according to the periodically acquired information resources. And predicting the heat degree change trend and/or the decay period of the hot spot event according to the attribute characteristics.

According to the embodiment of the disclosure, a processing device for a hotspot event is also provided.

As shown in fig. 5, the processing apparatus 500 for a hotspot event of this embodiment may include a keyword obtaining module 510, a hotspot event determining module 520, and an information resource obtaining module 530.

The keyword obtaining module 510 is configured to obtain at least one keyword.

The hot event determining module 520 is configured to determine a hot event corresponding to at least one keyword in response to determining that the at least one keyword is a hot word.

The information resource obtaining module 530 is configured to periodically obtain information resources for the hot event according to the heat degree change trend of the hot event.

According to the embodiment of the disclosure, the information resource obtaining module includes at least one of a first obtaining sub-module, a second obtaining sub-module, a third obtaining sub-module, and a fourth obtaining sub-module. The first obtaining submodule is used for periodically obtaining the information resources of the hot spot event in a mode of decreasing the interval period under the condition that the heat degree of the hot spot event is continuously increased. And the second acquisition submodule is used for periodically acquiring the information resources of the hotspot events in an interval period increasing mode under the condition that the heat degree of the hotspot events is continuously reduced. And the third acquisition submodule is used for periodically acquiring the information resources of the hot spot event at an interval period smaller than the first threshold under the condition that the heat degree of the hot spot event is increased to a stable numerical range. And the fourth acquisition submodule is used for periodically acquiring the information resources of the hot spot event at an interval period which is greater than the second threshold value under the condition that the heat degree of the hot spot event is reduced to another stable numerical range.

According to an embodiment of the present disclosure, the apparatus further includes a prediction module, configured to predict a heat degree change trend and/or a fading period of the hotspot event according to the periodically acquired information resources.

According to an embodiment of the present disclosure, the prediction module includes a first prediction sub-module and a second prediction sub-module. The first prediction submodule is used for determining the attribute characteristics of the hot event according to the periodically acquired information resources. And the second prediction submodule is used for predicting the heat degree change trend and/or the decay period of the hot spot event according to the attribute characteristics.

According to the embodiment of the disclosure, the device further comprises an event determining module, an attribute feature obtaining module and a hot word determining module. The event determining module is used for determining at least one hotspot event associated with at least one keyword after the keyword obtaining module obtains the at least one keyword. The attribute feature acquisition module is used for acquiring the attribute feature of at least one hotspot event. The hot word determining module is used for determining whether at least one keyword is a hot word according to the attribute characteristics.

According to an embodiment of the disclosure, the keyword obtaining module is further configured to obtain at least one keyword based on the at least one search term.

According to an embodiment of the present disclosure, the information resource includes: and one or more of comment information, comment amount, forwarding amount and approval amount of the media resources related to the hotspot events.

It should be understood that the embodiments of the apparatus part of the present disclosure are the same as or similar to the embodiments of the method part of the present disclosure, and the technical problems to be solved and the technical effects to be achieved are also the same as or similar to each other, and the detailed description of the present disclosure is omitted.

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. 6 illustrates a schematic block diagram of an example electronic device 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. 6, the electronic device 600 includes a computing unit 601, which can perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM)602 or a computer program loaded from a storage unit 608 into a Random Access Memory (RAM) 603. In the RAM 603, various programs and data necessary for the operation of the electronic apparatus 600 can also be stored. The calculation unit 601, the ROM 602, and the RAM 603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.

Various components in the electronic device 600 are connected to the I/O interface 605, including: an input unit 606 such as a keyboard, a mouse, or the like; an output unit 607 such as various types of displays, speakers, and the like; a storage unit 608, such as a magnetic disk, optical disk, or the like; and a communication unit 609 such as a network card, modem, wireless communication transceiver, etc. The communication unit 609 allows the device 600 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.

The computing unit 601 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of the computing unit 601 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 601 performs the various methods and processes described above, such as a processing method for a hotspot event. For example, in some embodiments, the processing method for hotspot events may be implemented as a computer software program tangibly embodied in a machine-readable medium, such as storage unit 608. In some embodiments, part or all of the computer program may be loaded and/or installed onto the device 600 via the ROM 602 and/or the communication unit 609. When the computer program is loaded into RAM 603 and executed by the computing unit 601, one or more steps of the processing method for hotspot events described above may be performed. Alternatively, in other embodiments, the computing unit 601 may be configured by any other suitable means (e.g., by means of firmware) to perform the processing method for the hotspot event.

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), load 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 may be a cloud Server, which is 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 extensibility in a traditional physical host and a VPS service ("Virtual Private Server", or "VPS" for short). The server may also be a server of a distributed system, or a server incorporating a blockchain.

In the technical scheme of the disclosure, the records, storage, application and the like of related keywords and information resources all accord with the regulations of related laws and regulations, and do not violate the good customs of public sequences.

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, as long as the desired results of the technical solutions disclosed in the present disclosure can be achieved, and the present disclosure is not limited herein.

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 processing method for hotspot events comprises the following steps:

acquiring at least one keyword;

in response to determining that the at least one keyword is a hotspot word, determining a hotspot event corresponding to the at least one keyword; and

and periodically acquiring information resources of the hot event according to the heat degree change trend of the hot event.

2. The method of claim 1, wherein the periodically acquiring information resources of the hotspot event according to the trend of heat degree change of the hotspot event comprises at least one of:

under the condition that the heat degree of the hot spot event is continuously increased, periodically acquiring information resources of the hot spot event in a mode of interval period decreasing;

under the condition that the heat degree of the hot event is continuously reduced, periodically acquiring information resources of the hot event in an interval period increasing mode;

under the condition that the heat degree of the hot spot event is increased to a stable numerical range, periodically acquiring information resources of the hot spot event at an interval period smaller than a first threshold value;

and under the condition that the heat degree of the hot spot event is reduced to another stable numerical range, periodically acquiring information resources of the hot spot event at an interval period larger than a second threshold value.

3. The method of claim 1 or 2, further comprising:

4. The method of claim 3, wherein the predicting the heat degree change trend and/or the decay period of the hotspot event according to the periodically acquired information resources comprises:

determining attribute characteristics of the hot event according to the periodically acquired information resources; and

and predicting the heat degree change trend and/or the decay period of the hot spot event according to the attribute characteristics.

5. The method of claim 1, further comprising: after the acquisition of the at least one keyword,

determining at least one hotspot event associated with the at least one keyword;

acquiring attribute characteristics of the at least one hotspot event; and

and determining whether the at least one keyword is a hot word or not according to the attribute characteristics.

6. The method of claim 1, wherein obtaining at least one keyword comprises:

and acquiring the at least one keyword based on at least one search word.

7. The method of claim 1, wherein the information resource comprises: and one or more of comment information, comment amount, forwarding amount and approval amount of the media resources related to the hotspot events.

8. A processing apparatus for hotspot events, comprising:

the keyword acquisition module is used for acquiring at least one keyword;

the hot event determining module is used for determining a hot event corresponding to the at least one keyword in response to determining that the at least one keyword is a hot word; and

and the information resource acquisition module is used for periodically acquiring the information resources of the hot event according to the heat degree change trend of the hot event.

9. The apparatus of claim 8, wherein the information resource acquisition module comprises at least one of:

the first acquisition submodule is used for periodically acquiring information resources of the hot spot event in a mode of decreasing interval periods under the condition that the heat degree of the hot spot event is continuously increased;

the second obtaining submodule is used for periodically obtaining information resources of the hot event in an interval period increasing mode under the condition that the heat degree of the hot event is continuously reduced;

the third obtaining submodule is used for periodically obtaining the information resources of the hot spot event at an interval period smaller than a first threshold value under the condition that the heat degree of the hot spot event is increased to a stable numerical range;

and the fourth acquisition submodule is used for periodically acquiring the information resources of the hot spot event at an interval period larger than a second threshold value under the condition that the heat degree of the hot spot event is reduced to another stable numerical range.

10. The apparatus of claim 8 or 9, further comprising:

and the prediction module is used for predicting the heat degree change trend and/or the decay period of the hot spot event according to the periodically acquired information resources.

11. The apparatus of claim 10, wherein the prediction module comprises:

the first prediction submodule is used for determining the attribute characteristics of the hot event according to the periodically acquired information resources; and

and the second prediction sub-module is used for predicting the heat degree change trend and/or the decay period of the hot spot event according to the attribute characteristics.

12. The apparatus of claim 8, further comprising:

the event determining module is used for determining at least one hotspot event associated with at least one keyword after the keyword obtaining module obtains the at least one keyword;

the attribute feature acquisition module is used for acquiring the attribute features of the at least one hotspot event; and

and the hot word determining module is used for determining whether the at least one keyword is a hot word according to the attribute characteristics.

13. The apparatus of claim 8, wherein the keyword acquisition module is further configured to:

and acquiring the at least one keyword based on at least one search word.

14. The apparatus of claim 8, wherein the information resources comprise: and one or more of comment information, comment amount, forwarding amount and approval amount of the media resources related to the hotspot events.

15. 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 any one of claims 1-7.

16. 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 1-7.

17. A computer program product comprising a computer program which, when executed by a processor, implements the method according to any one of claims 1-7.