CN110060088A - Competing articles monitoring method, device and storage medium, computer equipment - Google Patents

Competing articles monitoring method, device and storage medium, computer equipment Download PDF

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Publication number
CN110060088A
CN110060088A CN201910172920.4A CN201910172920A CN110060088A CN 110060088 A CN110060088 A CN 110060088A CN 201910172920 A CN201910172920 A CN 201910172920A CN 110060088 A CN110060088 A CN 110060088A
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characteristic
data
product
competing
competing product
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温锴昕
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Ping An International Smart City Technology Co Ltd
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Ping An International Smart City Technology Co Ltd
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201Market modelling; Market analysis; Collecting market data

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Abstract

The present invention provides a kind of competing articles monitoring method, device and storage medium, computer equipment, which comprises the competing product of the target product are determined according to the first characteristic of target product;First characteristic is the characteristic of the target product determined according to the market orientation attribute of the target product;The second characteristic of the competing product is determined according to first characteristic, and obtains marketing data relevant to second characteristic according to every preset time from multiple third-party platforms;According to the relevant marketing data of second characteristic obtained every time, the corresponding fluctuation statistical chart of the competing product is generated;The turn of the market data of the competing product are monitored according to the fluctuation statistical chart.The above method can reduce the manpower expenditure for manually checking market public opinion of the competing product on third-party platform, and realization is automatically-monitored, improves the monitoring efficiency of competing product.

Description

Competing articles monitoring method, device and storage medium, computer equipment
Technical field
The present invention relates to competing product studying technological domains, specifically, the present invention relates to a kind of competing articles monitoring method, device and Storage medium, computer equipment.
Background technique
Each large-scale company operation platform of internet industry is by each company's self-developing and internal use at present.Operation platform With extremely strong private ownership, third party's data statistics website or the statistical number of application market are mainly passed through for the analysis of competing product According to being analyzed, so as to adjust itself product strategy.Most operation platforms lack the real-time monitoring and control to competing product.By existing Competing product monitoring strategies, often will appear product decisions lag not in time the case where, so as to cause certain loss is generated to company Or measure is captured market the chance of share, the process for lacking the round-the-clock monitoring of a set of automation and reporting.
Summary of the invention
The present invention proposes a kind of competing articles monitoring method, device and storage medium, computer equipment, with reduce manually check it is competing The manpower of market public opinion of the product on third-party platform is paid, and realization is automatically-monitored, improves the monitoring efficiency of competing product.
The present invention provides following scheme:
A kind of competing articles monitoring method, comprising: the competing product of the target product are determined according to the first characteristic of target product;Institute State the characteristic that the first characteristic is the target product determined according to the market orientation attribute of the target product;According to described One characteristic determines the second characteristic of the competing product, and from multiple third-party platforms according to every preset time obtain with it is described The relevant marketing data of second characteristic;According to the relevant marketing data of second characteristic obtained every time, the competing product are generated Corresponding fluctuation statistical chart;The turn of the market data of the competing product are monitored according to the fluctuation statistical chart.
In one embodiment, first characteristic according to target product determines the competing product of the target product, comprising: obtains The market orientation related data for taking target product determines first characteristic according to the market orientation related data;It obtains The identification information of product in system database, the identification information are used to identify the market orientation of product;By first characteristic It is matched with the identification information of the product, the competing product is determined according to matching result.
In one embodiment, second characteristic that the competing product are determined according to first characteristic, comprising: obtain institute Multiple characteristics of competing product are stated, the multiple characteristic is the multiple competing product determined according to the market orientation attribute of the competing product Characteristic;First characteristic is matched with multiple characteristics of the competing product, the competing product are filtered out according to matching result Second characteristic.
In one embodiment, first characteristic is multiple, and second characteristic is multiple;It is described by first characteristic It is matched with multiple characteristics of the competing product, the second characteristic of the competing product is filtered out according to matching result, comprising: obtain respectively First characteristic for taking the target product matches first characteristic with multiple characteristics of the competing product, root One or more second characteristic of the competing product is filtered out according to matching result;According to each of the target product described Second characteristic that one characteristic obtains obtains multiple second characteristics of the competing product.
In one embodiment, second spy obtained according to each of the target product first characteristic Property, obtain multiple second characteristics of the competing product, comprising: statistics is according to each of the target product first characteristic In the second characteristic filtered out, number that each second characteristics match obtains;Obtained number is matched from big to small according to described It is ranked up, obtains multiple second characteristics of the second characteristic of the forward preset quantity that sorts as the competing product.
In one embodiment, the marketing data relevant to second characteristic includes the competing product in the third party In platform precedence data, the competing product in the third-party platform evaluation data of user, the competing product in the third party User uses the positive rating data and difference comments rate data of the competing product and the competing product in the third-party platform in platform The score data at family;It is corresponding to generate the competing product for the relevant marketing data of second characteristic that the basis obtains every time Fluctuate statistical chart, comprising: according to the precedence data, the evaluation data, the positive rating data, the difference comments rate data and The score data generates the fluctuation statistical chart;The precedence data, the evaluation are shown in the fluctuation statistical chart respectively Data, the positive rating data, the difference comments rate data and the score data.
In one embodiment, described according to the precedence data, the evaluation data, the positive rating data, the difference Rate data and the score data are commented, the fluctuation statistical chart is generated, comprising: by presently described precedence data, the review number According to, the positive rating data, the difference comments rate data and the score data and the last precedence data, the review number According to, the positive rating data, the difference comments rate data and the score data compare, the difference number of each after being compared According to;It will be currently according to the precedence data, the evaluation data, the positive rating data, the difference comments rate data and institute's commentary The current statistic figure that divided data generates, the covering last time is according to the precedence data, the evaluation data, the positive rating number According to the last time statistical chart that, difference comments rate data and the score data generate, and described in showing in the current statistic figure The difference data of each, to obtain the fluctuation statistical chart.
A kind of competing product monitoring device, comprising: first obtains module, for according to the determination of the first characteristic of target product The competing product of target product;First characteristic is the target product determined according to the market orientation attribute of the target product Characteristic;Second obtains module, for determining the second characteristic of the competing product according to first characteristic, and from multiple thirds Marketing data relevant to second characteristic is obtained according to every preset time in Fang Pingtai;Generation module, for according to every The relevant marketing data of second characteristic of secondary acquisition generates the corresponding fluctuation statistical chart of the competing product;Monitoring module is used for The turn of the market data of the competing product are monitored according to the fluctuation statistical chart.
A kind of storage medium, is stored thereon with computer program;The computer program is suitable for being loaded and being held by processor Competing articles monitoring method described in any of the above-described embodiment of row.
A kind of computer equipment comprising: one or more processors;Memory;One or more application program, wherein One or more of application programs are stored in the memory and are configured as being held by one or more of processors Row, one or more of application programs are configured to carry out the competing articles monitoring method according to any of the above-described embodiment.
Competing articles monitoring method provided by the above embodiment, system are determined pair according to the first characteristic of internal target product The competing product answered and then secondary the second characteristic corresponding with the first characteristic of target product is filtered out from competing product according to the first characteristic. Further, the relevant marketing data of the second characteristic is obtained from third-party platform, to generate the corresponding fluctuation system of competing product Meter figure.The fluctuation situation of the relevant market data of competing product can be monitored according to fluctuation statistical chart.Therefore, artificial examination product can be reduced In the market public opinion of third-party platform, full-automatic monitoring is realized.Meanwhile operation or product personnel are enable to respond quickly competing product and become Change, changes product strategy direction, do and targetedly promote, reduce the lag of decision.
The additional aspect of the present invention and advantage will be set forth in part in the description, these will become from the following description Obviously, or practice through the invention is recognized.
Detailed description of the invention
Above-mentioned and/or additional aspect and advantage of the invention will become from the following description of the accompanying drawings of embodiments Obviously and it is readily appreciated that, in which:
Fig. 1 is the method flow diagram in an a kind of embodiment of competing articles monitoring method provided by the invention;
Fig. 2 is the method flow diagram in an embodiment of step S100 provided by the invention;
Fig. 3 is the method flow diagram in an embodiment of step S200 provided by the invention;
Fig. 4 is the method flow diagram in another embodiment of step S200 provided by the invention;
Fig. 5 is the structural block diagram in an a kind of embodiment of competing product monitoring device provided by the invention;
Fig. 6 is the structural schematic diagram in an a kind of embodiment of computer equipment provided by the invention.
Specific embodiment
The embodiment of the present invention is described below in detail, examples of the embodiments are shown in the accompanying drawings, wherein from beginning to end Same or similar label indicates same or similar element or element with the same or similar functions.Below with reference to attached The embodiment of figure description is exemplary, and for explaining only the invention, and is not construed as limiting the claims.
Those skilled in the art of the present technique are appreciated that unless expressly stated, singular " one " used herein, " one It is a ", " described " and "the" may also comprise plural form, " first " used herein, " second " are only used for distinguishing same technology special Sign, is not limited the sequence of the technical characteristic and quantity etc..It is to be further understood that in specification of the invention The wording " comprising " used refers to that there are the feature, integer, step, operation, element and/or component, but it is not excluded that depositing Or add other one or more features, integer, step, operation, element, component and/or their group.
Those skilled in the art of the present technique are appreciated that unless otherwise defined, all terms used herein (including technology art Language and scientific term), there is meaning identical with the general understanding of those of ordinary skill in fields of the present invention.Should also Understand, those terms such as defined in the general dictionary, it should be understood that have in the context of the prior art The consistent meaning of meaning, and unless idealization or meaning too formal otherwise will not be used by specific definitions as here To explain.
The present invention provides a kind of competing articles monitoring method.In one embodiment, as shown in Figure 1, the competing articles monitoring method, including Following steps:
S100 determines the competing product of the target product according to the first characteristic of target product;According to first characteristic The characteristic for the target product that the market orientation attribute of the target product determines.
In the present embodiment, system obtains the characteristic of target product, and according to target product market orientation in the market Attribute determines the first characteristic from its characteristic.For example, target product is insurance class APP, the entitled M of APP.The characteristic of product M Including insuring class feature, insurance products characteristic, declaration form management characteristic such as can provide;It also may include simultaneously non-insured class feature, Financial service characteristic (capital management characteristic) is such as provided, health consultation characteristic etc. is provided.But product M main definitions are that insurance produces Product, market orientation are insurance class.Therefore, the first characteristic of product M can be determined according to the market orientation attribute of product M, namely It is insurance class feature.
In one embodiment, as shown in Fig. 2, step S100, comprising:
S110 obtains the market orientation related data of target product, determines institute according to the market orientation related data State the first characteristic.
S120, obtains the identification information of product in system database, and the market that the identification information is used to identify product is fixed Position.
First characteristic is matched with the identification information of the product, determines institute according to matching result by S130 State competing product.
In this embodiment, multiple product is stored in system database.Product in system includes producing with the target Product as condition also includes the product with target product dissmilarity.System for product market orientation store product when, Identification information can be set to each product, by the identification information you can learn that the market orientation of product.In the embodiment, system The market orientation related data for getting target product determines the first characteristic of target product according to the related data.Herein, The market orientation related data of target product can be the identification information of system setting, be also possible to by the target It when product release is to market, or launches to the related data after market, determines the market orientation related data.Meanwhile System matches the identification information of product in database with first characteristic, is determined from database according to matching result The competing product out.Specifically, can be system setting preset matching value, when the identification information of product and first characteristic carry out It, can be using the product as the competing product of target product when matching value after matching reaches system setting preset matching value.
S200 determines the second characteristic of the competing product according to first characteristic, and presses from multiple third-party platforms Marketing data relevant to second characteristic is obtained according to every preset time.
In the present embodiment, the competing product of target product are determined according to the first characteristic of target product, and according to the first spy Property determines the second characteristic of competing product.Wherein, the first characteristic can be same or similar with the second characteristic.For example, the first of product M It insures the characteristic that the class Market Definition goes out according to characteristic, therefore the competing product determined according to the first characteristic are to insure class in market Other products.Assuming that the competing product determined are product N.Product N includes insurance class feature, also contains other non-insured classes Characteristic.System according to the first of product M it is specific the second characteristic is determined from the characteristic of product N, i.e., from the insurance characteristic of product M Determine the correlation properties insured in product N.
In one embodiment, as shown in figure 3, step S200, comprising:
S210, obtains multiple characteristics of the competing product, and the multiple characteristic is the market orientation attribute according to the competing product The characteristic of determining multiple competing product.
First characteristic is matched with multiple characteristics of the competing product, filters out institute according to matching result by S220 State the second characteristic of competing product.
In this embodiment, the characteristic that the content and product that system is provided according to product have determines product various aspects Characteristic.System filters out second characteristic according to the first characteristic of target product from the competing product.The mode of screening is, First characteristic of the target product is subjected to match cognization with multiple characteristics of the competing product respectively, when matching value reaches default When value, the characteristic of competing product is classified as second characteristic.
Further, first characteristic is multiple, and second characteristic is multiple.As shown in figure 4, step S220, packet It includes:
S221 obtains first characteristic of the target product respectively, by first characteristic and the competing product Multiple characteristics are matched, and one or more second characteristic of the competing product is filtered out according to matching result.
S223 is obtained described competing according to second characteristic that each of the target product first characteristic obtains Multiple second characteristics of product.
Further, step S223, comprising: what statistics was filtered out according to each of the target product first characteristic In second characteristic, number that each second characteristics match obtains;It is ranked up from big to small according to the obtained number that matches, Obtain multiple second characteristics of the second characteristic of the forward preset quantity that sorts as the competing product.
Specifically, the first characteristic of target product can be multiple.System is respectively by the spy of each first characteristic and competing product Property is matched, and matching value in matching result is reached to second characteristic of the characteristic as competing product of preset value.It can be, system will The second characteristic that obtained characteristic is used as competing product is matched every time.It is also possible to mitigate clothes to control the quantity of the second characteristic The pressure of business device screens second characteristic of the characteristic of a part as competing product from the characteristic that matching obtains.Specifically, multiple One characteristic may match the same characteristic of competing product.Can be according in competing product characteristic, system matches go out the number of characteristic, according to number Size, obtain the characteristic of preset quantity in the top as second characteristic.
S300 generates the corresponding fluctuation of the competing product according to the relevant marketing data of second characteristic obtained every time Statistical chart.
In the present embodiment, system obtains marketing data relevant to the second characteristic from multiple third-party platforms.Herein, Marketing data is the analysis data of the related data that user operates competing product in third-party platform and third-party platform to competing product. The marketing data include in third-party platform user to the comment data of competing product, score data, download data, pageview number According to etc. and third-party platform to the data and other analysis data etc. of competing product setting ranking.System obtains second characteristic The mode of relevant marketing data is that the marketing data is read out from third-party platform every preset time.It can be, press The marketing data is crawled out from third-party platform according to predetermined period, such as crawls within every ten minutes primary major third by setting The marketing data of Fang Pingtai.
In one embodiment, the marketing data relevant to second characteristic includes the competing product in the third party In platform precedence data, the competing product in the third-party platform evaluation data of user, the competing product in the third party User uses the positive rating data and difference comments rate data of the competing product and the competing product in the third-party platform in platform The score data at family.Step S300 includes: according to the precedence data, the evaluation data, the positive rating data, the difference Rate data and the score data are commented, the fluctuation statistical chart is generated;The ranking number is shown in the fluctuation statistical chart respectively According to, the evaluation data, the positive rating data, the difference comments rate data and the score data.It specifically, will be presently described Described in precedence data, the evaluation data, the positive rating data, the difference comments rate data and the score data and last time Precedence data, the evaluation data, the positive rating data, the difference comments rate data and the score data compare, and obtain The difference data of each after to comparison.It will be currently according to the precedence data, the evaluation data, the positive rating data, institute The current statistic figure that difference comments rate data and the score data generate is stated, the covering last time is according to the precedence data, institute's commentary The last time statistical chart that valence mumber evidence, the positive rating data, the difference comments rate data and the score data generate, and work as described The difference data of each described in being shown in preceding statistical chart, to obtain the fluctuation statistical chart.
In this embodiment, competing product ranking, evaluation, favorable comment in third-party application market are periodically crawled by crawler technology Difference comments rate and scoring generate the fluctuation change statistics figure of different competing product in real time.Simultaneously by combining the rankings, good of all competing product Difference comments rate and scoring are commented, industry analysis figure is generated.Such as: the software of primary major application market is crawled within every ten minutes by setting Competing to judge point, system draws scoring trend graph in real time, and system passes through the fluction analysis to data, generates fluctuation pattern analysis Table.By combining a certain competing product in the evaluation and scoring in different application market, the entirety of the software is automatically generated according to certain rules Evaluate tendency.Again whole industry evaluation trend graph can be generated by the whole trend graph of all competing product of combination, system.
S400 monitors the turn of the market data of the competing product according to the fluctuation statistical chart.
In the present embodiment, it is corresponding to generate the competing product according to the relevant marketing data of the second characteristic of acquisition for system Fluctuate statistical chart.System obtains the primary marketing data every preset time from third-party platform, generates primary described competing The statistical chart of product.The statistical chart repeatedly generated constitutes the fluctuation statistical chart, can monitor competing product according to the fluctuation statistical chart Turn of the market data.Therefore, artificial examination product can be reduced in the market public opinion of third-party platform, realize full-automatic monitoring. Meanwhile operation or product personnel are enable to respond quickly competing product variation, change product strategy direction, do and targetedly promote, reduce The lag of decision.
The present invention also provides a kind of competing product monitoring devices.In one embodiment, as shown in figure 5, the competing product monitoring device packet It includes the first acquisition module 10, second and obtains module 20, generation module 30 and monitoring module 40.
First acquisition module 10 is used to determine the competing product of the target product according to the first characteristic of target product;Described One characteristic is the characteristic of the target product determined according to the market orientation attribute of the target product.In the present embodiment, System obtains the characteristic of target product, and market orientation attribute determines first from its characteristic in the market according to target product Characteristic.For example, target product is insurance class APP, the entitled M of APP.The characteristic of product M includes insurance class feature, such as be can provide Insurance products characteristic, declaration form management characteristic;It also may include simultaneously non-insured class feature, financial service characteristic (fund be such as provided Management characteristic), health consultation characteristic etc. is provided.But product M main definitions are insurance products, and market orientation is insurance class.Therefore, The first characteristic that product M can be determined according to the market orientation attribute of product M, that is to say insurance class feature.
Second acquisition module 20 is used to determine the second characteristic of the competing product according to first characteristic, and from multiple the Marketing data relevant to second characteristic is obtained according to every preset time in tripartite's platform.In the present embodiment, according to First characteristic of target product determines the competing product of target product, and the second characteristic of competing product is determined according to the first characteristic.Its In, the first characteristic can be same or similar with the second characteristic.For example, its insurance class market is fixed according to the first characteristic of product M The characteristic that justice goes out, therefore be other products that class is insured in market according to the competing product that the first characteristic is determined.Assuming that determine Competing product are product N.Product N includes insurance class feature, also contains the characteristic of other non-insured classes.System is according to the of product M One it is specific the second characteristic is determined from the characteristic of product N, i.e., determine the phase insured in product N from the insurance characteristic of product M Close characteristic.
Generation module 30 is used to generate the competing product pair according to the relevant marketing data of second characteristic obtained every time The fluctuation statistical chart answered.In the present embodiment, system obtains city relevant to the second characteristic number of fields from multiple third-party platforms According to.Herein, marketing data is user operates competing product in third-party platform related data and third-party platform to competing product Analyze data.The marketing data include in third-party platform user to the comment data of competing product, score data, download number According to, pageview data etc. and third-party platform to the data of competing product setting ranking and other analysis data etc..System obtains institute The mode for stating the relevant marketing data of the second characteristic is that city's number of fields is read out from third-party platform every preset time According to.It can be, crawl out the marketing data from third-party platform according to predetermined period, such as crawled by setting every ten minutes The marketing data of primary major third-party platform.
Monitoring module 40 is used to monitor the turn of the market data of the competing product according to the fluctuation statistical chart.In the present embodiment In, system generates the corresponding fluctuation statistical chart of the competing product according to the relevant marketing data of the second characteristic of acquisition.System every Preset time obtains the primary marketing data from third-party platform, generates the statistical chart of the primary competing product.Repeatedly generate Statistical chart constitute the fluctuation statistical chart, the turn of the market data of competing product can be monitored according to the fluctuation statistical chart.Therefore, may be used Artificial examination product is reduced in the market public opinion of third-party platform, realizes full-automatic monitoring.Meanwhile operation or product personnel's energy Enough competing product variations of quick response, change product strategy direction, do and targetedly promote, reduce the lag of decision.
In other embodiments, the modules in competing product monitoring device provided by the invention are also used to execute institute of the present invention In the competing articles monitoring method stated, the operation that corresponding each step executes no longer is described in detail herein.
The present invention also provides a kind of storage mediums.Computer program is stored on the storage medium;The computer program When being executed by processor, competing articles monitoring method described in any of the above-described embodiment is realized.The storage medium can be memory.Example Such as, built-in storage or external memory, or including both built-in storage and external memory.Built-in storage may include read-only storage Device (ROM), programming ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), flash Device or random access memory.External memory may include hard disk, floppy disk, ZIP disk, USB flash disk, tape etc..It is disclosed in this invention to deposit Storage media includes but is not limited to the memory of these types.Memory disclosed in this invention is only used as example rather than as limit It is fixed.
The present invention also provides a kind of computer equipments.A kind of computer equipment includes: one or more processors;Storage Device;One or more application program.Wherein one or more of application programs are stored in the memory and are configured To be executed by one or more of processors, one or more of application programs are configured to carry out any of the above-described embodiment The competing articles monitoring method.
Fig. 6 is the structural schematic diagram of the computer equipment in one embodiment of the invention.Computer equipment described in the present embodiment It can be server, personal computer and the network equipment.As shown in fig. 6, equipment include processor 603, it is memory 605, defeated Enter the devices such as unit 607 and display unit 609.It will be understood by those skilled in the art that the device structure device shown in Fig. 6 is simultaneously The restriction to all devices is not constituted, may include than illustrating more or fewer components, or the certain components of combination.Memory 605 can be used for storing application program 601 and each functional module, and processor 603 runs the application program for being stored in memory 605 601, thereby executing the various function application and data processing of equipment.Memory can be built-in storage or external memory, or Person includes both built-in storage and external memory.Built-in storage may include read-only memory (ROM), programming ROM (PROM), Electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), flash memory or random access memory.External storage Device may include hard disk, floppy disk, ZIP disk, USB flash disk, tape etc..Memory disclosed in this invention includes but is not limited to these types Memory.Memory disclosed in this invention is only used as example rather than as restriction.
Input unit 607 is used to receive the input of signal, and receives the keyword of user's input.Input unit 607 can Including touch panel and other input equipments.Touch panel collects the touch operation of user on it or nearby and (for example uses Family uses the operations of any suitable object or attachment on touch panel or near touch panel such as finger, stylus), and root According to the corresponding attachment device of preset driven by program;Other input equipments can include but is not limited to physical keyboard, function One of key (such as broadcasting control button, switch key etc.), trace ball, mouse, operating stick etc. are a variety of.Display unit 609 can be used for showing the information of user's input or be supplied to the information of user and the various menus of computer equipment.Display is single The forms such as liquid crystal display, Organic Light Emitting Diode can be used in member 609.Processor 603 is the control centre of computer equipment, benefit With the various pieces of various interfaces and the entire computer of connection, by running or executing the software being stored in memory 605 Program and/or module, and the data being stored in memory are called, perform various functions and handle data.
In one embodiment, equipment includes one or more processors 603, and one or more memories 605, and one A or multiple application programs 601.Wherein one or more of application programs 601 are stored in memory 605 and are configured To be executed by one or more of processors 603, one or more of application programs 601 are configured to carry out the above implementation Competing articles monitoring method described in example.
It, can also be in addition, each functional unit in each embodiment of the present invention can integrate in a processing module It is that each unit physically exists alone, can also be integrated in two or more units in a module.Above-mentioned integrated mould Block both can take the form of hardware realization, can also be realized in the form of software function module.The integrated module is such as Fruit is realized and when sold or used as an independent product in the form of software function module, also can store in a computer In read/write memory medium.
Those of ordinary skill in the art will appreciate that realizing that all or part of the steps of above-described embodiment can pass through hardware It completes, relevant hardware can also be instructed to complete by program, which can store in a computer-readable storage medium In matter, storage medium may include memory, disk or CD etc..
The above is only some embodiments of the invention, it is noted that for the ordinary skill people of the art For member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also answered It is considered as protection scope of the present invention.
It should be understood that each functional unit in various embodiments of the present invention can be integrated in a processing module, It can be physically existed alone, can also be integrated in two or more units in a module with each unit.It is above-mentioned integrated Module both can take the form of hardware realization, can also be realized in the form of software function module.
The above is only some embodiments of the invention, it is noted that for the ordinary skill people of the art For member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also answered It is considered as protection scope of the present invention.

Claims (10)

1. a kind of competing articles monitoring method characterized by comprising
The competing product of the target product are determined according to the first characteristic of target product;First characteristic is to be produced according to the target The characteristic for the target product that the market orientation attribute of product determines;
The second characteristic of the competing product is determined according to first characteristic, and according to every default from multiple third-party platforms Time obtains marketing data relevant to second characteristic;
According to the relevant marketing data of second characteristic obtained every time, the corresponding fluctuation statistical chart of the competing product is generated;
The turn of the market data of the competing product are monitored according to the fluctuation statistical chart.
2. the method according to claim 1, wherein described determine the mesh according to the first characteristic of target product Mark the competing product of product, comprising:
The market orientation related data for obtaining target product determines that described first is special according to the market orientation related data Property;
The identification information of product in system database is obtained, the identification information is used to identify the market orientation of product;
First characteristic is matched with the identification information of the product, the competing product are determined according to matching result.
3. the method according to claim 1, wherein described determine the competing product according to first characteristic Second characteristic, comprising:
Multiple characteristics of the competing product are obtained, the multiple characteristic is multiple to determine according to the market orientation attribute of the competing product The characteristic of the competing product;
First characteristic is matched with multiple characteristics of the competing product, filters out the of the competing product according to matching result Two characteristics.
4. according to the method described in claim 3, it is characterized in that, first characteristic be it is multiple, second characteristic is more It is a;It is described to match first characteristic with multiple characteristics of the competing product, the competing product are filtered out according to matching result The second characteristic, comprising:
First characteristic for obtaining the target product respectively, by multiple characteristics of first characteristic and the competing product into Row matching filters out one or more second characteristic of the competing product according to matching result;
According to second characteristic that each of the target product first characteristic obtains, multiple institutes of the competing product are obtained State the second characteristic.
5. according to the method described in claim 4, it is characterized in that, described special according to each of the target product described first Second characteristic that property obtains, obtains multiple second characteristics of the competing product, comprising:
It counts in the second characteristic filtered out according to each of the target product first characteristic, each second characteristics match Obtained number;
It is ranked up from big to small according to the obtained number that matches, the second characteristic for obtaining the forward preset quantity that sorts is made For multiple second characteristics of the competing product.
6. the method according to claim 1, wherein the marketing data relevant to second characteristic includes The competing product in the third-party platform precedence data, the competing product in the third-party platform evaluation data of user, The competing product positive rating data and difference comments rate data and the competing product of user to the competing product in the third-party platform The score data of user in the third-party platform;
The relevant marketing data of second characteristic that the basis obtains every time generates the corresponding fluctuation statistics of the competing product Figure, comprising: according to the precedence data, the evaluation data, the positive rating data, the difference comments rate data and the scoring Data generate the fluctuation statistical chart;The precedence data, the evaluation data, institute are shown in the fluctuation statistical chart respectively State positive rating data, the difference comments rate data and the score data.
7. according to the method described in claim 6, it is characterized in that, described according to the precedence data, the evaluation data, institute Positive rating data, the difference comments rate data and the score data are stated, the fluctuation statistical chart is generated, comprising:
By presently described precedence data, the evaluation data, the positive rating data, the difference comments rate data and the scoring number According to the last precedence data, the evaluation data, the positive rating data, the difference comments rate data and the scoring number According to comparing, the difference data of each after being compared;
It will be currently according to the precedence data, the evaluation data, the positive rating data, the difference comments rate data and institute's commentary The current statistic figure that divided data generates, the covering last time is according to the precedence data, the evaluation data, the positive rating number According to the last time statistical chart that, difference comments rate data and the score data generate, and described in showing in the current statistic figure The difference data of each, to obtain the fluctuation statistical chart.
8. a kind of competing product monitoring device characterized by comprising
First obtains module, and the competing product of the target product are determined for the first characteristic according to target product;Described first is special Property for according to the market orientation attribute of the target product determine the target product characteristic;
Second obtains module, for determining the second characteristic of the competing product according to first characteristic, and from multiple third parties Marketing data relevant to second characteristic is obtained according to every preset time in platform;
Generation module, for it is corresponding to generate the competing product according to the relevant marketing data of second characteristic obtained every time Fluctuate statistical chart;
Monitoring module, for monitoring the turn of the market data of the competing product according to the fluctuation statistical chart.
9. a kind of storage medium, which is characterized in that be stored thereon with computer program;The computer program is suitable for by processor Competing articles monitoring method described in any one of loading and execute the claims 1 to 7.
10. a kind of computer equipment, characterized in that it comprises:
One or more processors;
Memory;
One or more application program, wherein one or more of application programs are stored in the memory and are configured To be executed by one or more of processors, one or more of application programs are configured to carry out according to claim 1 To 7 described in any item competing articles monitoring methods.
CN201910172920.4A 2019-03-07 2019-03-07 Competing articles monitoring method, device and storage medium, computer equipment Pending CN110060088A (en)

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