CN109241404A - A kind of information sharing method, computer readable storage medium and terminal device - Google Patents
A kind of information sharing method, computer readable storage medium and terminal device Download PDFInfo
- Publication number
- CN109241404A CN109241404A CN201810915161.1A CN201810915161A CN109241404A CN 109241404 A CN109241404 A CN 109241404A CN 201810915161 A CN201810915161 A CN 201810915161A CN 109241404 A CN109241404 A CN 109241404A
- Authority
- CN
- China
- Prior art keywords
- information
- user
- keyword
- acceptance
- category
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Abstract
The invention belongs to field of computer technology more particularly to a kind of information sharing methods based on big data analysis, computer readable storage medium and terminal device.The method receive server issue wait share to the information aggregate of user terminal；Each information in the information aggregate is successively matched with the keyword in preset keyword set respectively, and information category corresponding with the keyword of successful match is determined as to the information category of information；User's acceptance corresponding with each information category is calculated separately, the user's acceptance is for indicating user to the acceptance level of the information of specify information classification；The highest preceding P information category of user's acceptance is chosen as preference information classification, and the information that information category in the information aggregate is the preference information classification is shared to the user terminal.In this way, the uninterested information of user has been masked, the interested information of user is only shared with user, improves the usage experience of user.
Description
Technical field
The invention belongs to field of computer technology more particularly to a kind of information sharing methods, computer readable storage medium
And terminal device.
Background technique
Traditional marketing model mainly passes through webpage or billboard drainage user, will spend a large amount of advertisement in this way
The crowd of expense, dispensing is not necessarily accurate, and effect is also unobvious, and stiff advertisement is also possible to cause detesting for certain customers indirectly
It is tired.In order to solve this problem, occur causing the interest of user in such a way that information is shared at present, then drain user
The mode come on to target application, but information interested to different user may be different, unified information point
It may include the uninterested information of a large number of users in enjoying, influence the experience of user.
Summary of the invention
In view of this, can the embodiment of the invention provides a kind of information sharing method based on big data analysis, computer
Storage medium and terminal device are read, to solve in unified information sharing include the uninterested information of a large number of users,
The problem of influencing the experience of user.
The first aspect of the embodiment of the present invention provides a kind of information sharing method, may include:
Receive that server issues wait share to the information aggregate of user terminal, include one or more in the information aggregate
Information；
Each information in the information aggregate is successively carried out with the keyword in preset keyword set respectively
Match, and information category corresponding with the keyword of successful match is determined as to the information category of information, in the keyword set
It include more than one in each keyword subset including each keyword subset corresponding with preset each information category
Keyword；
User's acceptance corresponding with each information category is calculated separately, the user's acceptance is for indicating user to finger
The acceptance level for determining the information of information category, according to the user to the specify information classification in preset statistical time section
Information historical feedback record be calculated；
The highest preceding P information category of user's acceptance is chosen as preference information classification, and will be in the information aggregate
Information category is that the information of the preference information classification is shared to the user terminal, wherein P is positive integer.
The second aspect of the embodiment of the present invention provides a kind of computer readable storage medium, the computer-readable storage
Media storage has computer-readable instruction, and the computer-readable instruction realizes following steps when being executed by processor:
Receive that server issues wait share to the information aggregate of user terminal, include one or more in the information aggregate
Information；
Each information in the information aggregate is successively carried out with the keyword in preset keyword set respectively
Match, and information category corresponding with the keyword of successful match is determined as to the information category of information, in the keyword set
It include more than one in each keyword subset including each keyword subset corresponding with preset each information category
Keyword；
User's acceptance corresponding with each information category is calculated separately, the user's acceptance is for indicating user to finger
The acceptance level for determining the information of information category, according to the user to the specify information classification in preset statistical time section
Information historical feedback record be calculated；
The highest preceding P information category of user's acceptance is chosen as preference information classification, and will be in the information aggregate
Information category is that the information of the preference information classification is shared to the user terminal, wherein P is positive integer.
The third aspect of the embodiment of the present invention provides a kind of terminal device, including memory, processor and is stored in
In the memory and the computer-readable instruction that can run on the processor, the processor executes the computer can
Following steps are realized when reading instruction:
Receive that server issues wait share to the information aggregate of user terminal, include one or more in the information aggregate
Information；
Each information in the information aggregate is successively carried out with the keyword in preset keyword set respectively
Match, and information category corresponding with the keyword of successful match is determined as to the information category of information, in the keyword set
It include more than one in each keyword subset including each keyword subset corresponding with preset each information category
Keyword；
User's acceptance corresponding with each information category is calculated separately, the user's acceptance is for indicating user to finger
The acceptance level for determining the information of information category, according to the user to the specify information classification in preset statistical time section
Information historical feedback record be calculated；
The highest preceding P information category of user's acceptance is chosen as preference information classification, and will be in the information aggregate
Information category is that the information of the preference information classification is shared to the user terminal, wherein P is positive integer.
Existing beneficial effect is the embodiment of the present invention compared with prior art: the embodiment of the present invention pre-set with respectively
The corresponding keyword subset of kind information category, determines information category belonging to information by the matching of keyword, and
User is calculated separately out according to historical feedback record to receive the acceptance level of the information of various information categories namely the user
Degree chooses several highest preceding information categories of user's acceptance as preference information classification, and will belong to institute on this basis
The information for stating preference information classification is shared with user, in this way, has masked the uninterested information of user, only will
The interested information of user is shared with user, substantially increases the usage experience of user.
Detailed description of the invention
It to describe the technical solutions in the embodiments of the present invention more clearly, below will be to embodiment or description of the prior art
Needed in attached drawing be briefly described, it should be apparent that, the accompanying drawings in the following description is only of the invention some
Embodiment for those of ordinary skill in the art without any creative labor, can also be according to these
Attached drawing obtains other attached drawings.
Fig. 1 is a kind of one embodiment flow chart of information sharing method in the embodiment of the present invention；
Fig. 2 is the schematic flow diagram for calculating user's acceptance corresponding with each information category；
Fig. 3 is the schematic flow diagram of the value determination process of the number of preference information classification；
Fig. 4 is a kind of one embodiment structure chart of information sharing apparatus in the embodiment of the present invention；
Fig. 5 is a kind of schematic block diagram of terminal device in the embodiment of the present invention.
Specific embodiment
In order to make the invention's purpose, features and advantages of the invention more obvious and easy to understand, below in conjunction with the present invention
Attached drawing in embodiment, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that disclosed below
Embodiment be only a part of the embodiment of the present invention, and not all embodiment.Based on the embodiments of the present invention, this field
Those of ordinary skill's all other embodiment obtained without making creative work, belongs to protection of the present invention
Range.
Referring to Fig. 1, a kind of one embodiment of information sharing method may include: in the embodiment of the present invention
Step S101, receive server issue wait share to the information aggregate of user terminal.
It include the information of one or more in the information aggregate, the information may include for carrying out each of product promotion
Kind information.
The server can include but is not limited to the information server provided by manufacturer terminal and by third party's service
The information server that person provides.
In the present embodiment, terminal device can only receive the information that an information server issues, and can also connect simultaneously
Receive the information that multiple information servers issue.
Step S102, by each information in the information aggregate respectively with the keyword in preset keyword set according to
It is secondary to be matched, and information category corresponding with the keyword of successful match is determined as to the information category of information.
It include each keyword subset corresponding with preset each information category in the keyword set, each
It include more than one keyword in keyword subset.
The information for being shared with user can be divided into healthy living, education of giving birth to children, house property financing, enterprise in the present embodiment
News, product information, excellent activity, insurance theory, social hotspots, cross-talk entertaining etc. information category.
Specifically, can preferably be classified by the keyword in information.
Firstly, presetting the keyword of each classification.
For example, may include: " body-building " in the keyword subset of healthy living class, " health ", " exercise ", " physical examination ", " protecting
Support " etc. keywords, may include: in the keyword subset for giving birth to children educational " education ", " school ", " training ", " guidance ", " at
The keywords such as achievement ".
The corresponding relationship between various information categories and keyword can be preset, as shown in the table:
| Information category | Keyword |
| Classification 1 | Set 1={ keyword 1, keyword 2, keyword 3 } |
| Classification 2 | Set 2={ keyword 4, keyword 5, keyword 6 } |
| Classification 3 | Set 3={ keyword 7, keyword 8 } |
| …… | …… |
| …… | …… |
When carrying out information category division to certain information, which is compared with each keyword, will comparison at
The corresponding information category of the keyword of function is determined as the information category of the information.
One of specific comparison process are as follows: the first corresponding keyword subset of an optional information category, and therefrom appoint
A keyword is selected, the keyword is then searched in the information, if searching, success is compared, terminates comparison process；If searching
Rope repeats above procedure less than, a then optional other keyword from the corresponding keyword subset of the information category again.
If all keywords in the corresponding keyword subset of the information category do not compare success, then choose another classification pair
The keyword subset answered, and above procedure is repeated, until comparing successfully.
Further, it is contemplated that when there are bulk information, comparison process may expend many times, can use following
The alignment schemes of optimization:
An information is arbitrarily chosen from the information aggregate to select as information to be matched, and from the keyword set
It takes highest priority and a keyword being not yet selected is as current key word, search institute in the information to be matched
Current key word is stated, if not finding the current key word in the information to be matched, it is described from described to return to execution
The step of highest priority and a keyword being not yet selected are as current key word is chosen in keyword set, if
The current key word is found in the information to be matched, it is determined that the information to be matched is matched with the current key word
Succeed, and information category corresponding with the current key word is determined as to the information type of the information to be matched.
Wherein, the calculating process of the priority can specifically include: firstly, obtaining in preset statistical time section
History match record, each Keywords matching counted in the keyword set according to history match record are successfully secondary
Number, the priority of each keyword, and each key are determined according to each successful number of Keywords matching
The priority of word and the successful number of each Keywords matching are positively correlated, i.e., a certain successful number of Keywords matching is got over
More, then the priority of the keyword is also higher, conversely, the successful number of a certain Keywords matching is fewer, then the keyword is excellent
First grade is also lower.
In this way, the high keyword of successful match probability is first compared, the low keyword of successful match probability
After be compared, can greatly reduce and compare successfully required comparison number.
After the completion of comparison, the affiliated information category of the information can also be marked by category identifier.Classification mark
The different values of will symbol correspond to different classifications, for example, represent it when class formative symbol value is 1 as healthy living category information,
When class formative symbol value is 2, it is represented to give birth to children and educates category information ..., and so on.
Step S103, user's acceptance corresponding with each information category is calculated separately.
The user's acceptance is for indicating user to the acceptance level of the information of specify information classification, according to the user
The historical feedback record of the information of the specify information classification is calculated in preset statistical time section.
The statistical time section can be configured according to the actual situation, for example, can be set to 1 week, 2 weeks, 1
The moon, 2 months or other values.
Specifically, step S103 may include the process as shown in Figure 2 that user's acceptance is calculated by big data analysis:
Step S1031, the statistical time section is divided into T sub-period.
Wherein, T is positive integer.The value of T can be configured according to the actual situation, for example, can be set to 2,
5,10 or other values.It should be noted that the value of T is bigger, then calculated result accuracy is higher, but the resource expended
Also more, conversely, the value of T is smaller, then calculated result accuracy is lower, but the resource expended is also fewer.
Step S1032, the historical feedback record of the user in each sub-period is obtained, and according to the historical feedback
Record calculates the score of each historical information.
For every information, the historical feedback record may include:
(1) information reading degree, the ratio of information length and the total length of the information that value is read for user, minimum 0,
The information, up to 100% were not clicked on, i.e., completely read the information；
(2) whether the information is thumbed up；
(3) whether ballot was carried out to the information；
(4) whether forwarding was carried out to the information；
(5) tendency is disliked to the happiness of the information, if user crosses the option of " interested " to the Information, illustrates the user
The information is more liked, if user crosses the option of " loseing interest in " to the Information, illustrate the user to the information compared with
To detest.
Specifically, the score of the information can be calculated according to the following formula:
InfoScore=DepthScore+ThumbUpScore+VoteScore+FwScore+Sent iScore
Wherein, if user did not put out information, DepthScore=0, if user's point opened information, DepthScore
=1, if viewing at information at least 30%, DepthScore=2, if user views at information at least 50%,
DepthScore=3, if user views at information 100%, DepthScore=4；
If user thumbed up the information, ThumbUpScore=1, otherwise, ThumbUpScore=0；
If user carried out ballot to the information, VoteScore=5, otherwise, VoteScore=0；
If user carried out forwarding to the information, FwScore=5, otherwise, FwScore=0；
If user crosses the option of " interested ", SentiScore=8 to the Information, if user is to the Information
The option of " loseing interest in " is crossed, then SentiScore=-8, otherwise, SentiScore=0.
Step S1033, user's acceptance corresponding with each information category is calculated separately.
Specifically, user's acceptance corresponding with each information category can be calculated separately according to the following formula:
Wherein, k be information category serial number, 1≤k≤K, K be information category total number, t be sub-period serial number, 1
≤ t≤T, n are the serial number of information, 1≤n≤Nk,t, Nk,tK-th of the information received in t-th of sub-period for the user
The total degree of the information of classification, InfoScorek,t,nFor the score of the nth information of k-th of information category in t-th of sub-period,
WeighttFor preset weight coefficient, and Weightt<Weightt+1, i.e., sub- period weight coefficient more rearward is bigger, this is
Because of the closer data with current time, reference significance is bigger, and the data more remote with current time, reference significance
It is smaller, for example, the data of this week use habit that obviously more to reflect user than data a few months ago current, it is preferable that
It can be setFavDegkIt is the user to the user's acceptance of k-th of information category.
Step S104, the highest preceding P information category of user's acceptance is chosen as preference information classification, and by the letter
Information category is that the information of the preference information classification is shared to the user terminal in breath set.
Wherein, P is positive integer.The value of P can be configured according to the actual situation, for example, can be set to 1,
2,3,5 or other values.
And specifically, it is preferable to which the value of the number P of information category can be determined according to process as shown in Figure 3:
Step S1041, structuring user's receive degree series.
For example, it is as follows for each information category being arranged successively according to the sequence of the user's acceptance from big to small
Sequence:
{FavDegS1、FavDegS2、……、FavDegSks、……、FavDegSK}
Wherein, ks is the serial number that the sequence of the user's acceptance from big to small is arranged successively, and 1≤ks≤K, K are information
The total number of classification, FavDegSksUser's acceptance for sequence at kth s.
Step S1042, the number of candidate information classification is determined.
Specifically, the value for meeting the KN of following formula can be determined as to the number of candidate information classification:
Wherein, DegThresh is preset user's acceptance threshold value, and the specific value of DegThresh can be according to reality
Situation is configured, for example, 80%, 85%, 90% or other values can be set to.
Step S1043, the number of preference information classification is determined.
Specifically, the value for meeting the P of following formula can be determined as to the number of preference information classification:
P=min (KN, MaxNum)
Wherein, min is function of minimizing, and MaxNum=ceil (ξ × K), ceil are the function that rounds up, and ξ is default
Proportionality coefficient, specific value can be configured according to the actual situation, for example, 0.1,0.2,0.3 can be set to
Or other values.
Preceding P information category finally is determined as needing to be shared with the information category of user, rear extended meeting is by these classifications
Information is shared with user.
In conclusion the embodiment of the present invention pre-sets keyword subset corresponding with various information categories, lead to
Information category belonging to information is determined in the matching for crossing keyword, and calculates separately out user to each according to historical feedback record
It is highest to choose user's acceptance on this basis for the acceptance level namely the user's acceptance of the information of kind information category
Several preceding information categories are shared with user as preference information classification, and by the information for belonging to the preference information classification, lead to
Such mode is crossed, the uninterested information of user has been masked, the interested information of user is only shared with user, is mentioned significantly
The high usage experience of user.
It should be understood that the size of the serial number of each step is not meant that the order of the execution order in above-described embodiment, each process
Execution sequence should be determined by its function and internal logic, the implementation process without coping with the embodiment of the present invention constitutes any limit
It is fixed.
Corresponding to a kind of information sharing method described in foregoing embodiments, Fig. 4 shows provided in an embodiment of the present invention one
One embodiment structure chart of kind information sharing apparatus.
In the present embodiment, a kind of information sharing apparatus may include:
Information receiving module 401, for receiving that server issues wait share to the information aggregate of user terminal, the letter
It include the information of one or more in breath set；
Information category determining module 402, for by each information in the information aggregate respectively with preset keyword
Keyword in set is successively matched, and information category corresponding with the keyword of successful match is determined as to the letter of information
Classification is ceased, includes each keyword subset corresponding with preset each information category in the keyword set, each
It include more than one keyword in keyword subset；
User's acceptance computing module 403, it is described for calculating separately user's acceptance corresponding with each information category
User's acceptance is for indicating user to the acceptance level of the information of specify information classification, according to the user in preset statistics
The historical feedback record of the information of the specify information classification is calculated in period；
Information chooses module 404, for choosing the highest preceding P information category of user's acceptance as preference information class
Not, and by the information that information category in the information aggregate is the preference information classification share to the user terminal, wherein
P is positive integer.
Further, the user's acceptance computing module may include:
Sub-period division unit, for the statistical time section to be divided into T sub-period, wherein T is positive integer；
Historical feedback records acquiring unit, and the historical feedback for obtaining the user in each sub-period records, and
The score for calculating each historical information is recorded according to the historical feedback；
User's acceptance computing unit receives for calculating separately user corresponding with each information category according to the following formula
Degree:
Wherein, k be information category serial number, 1≤k≤K, K be information category total number, t be sub-period serial number, 1
≤ t≤T, n are the serial number of information, 1≤n≤Nk,t, Nk,tK-th of the information received in t-th of sub-period for the user
The total degree of the information of classification, InfoScorek,t,nFor the score of the nth information of k-th of information category in t-th of sub-period,
WeighttFor preset weight coefficient, and Weightt<Weightt+1, FavDegkIt is the user to k-th information category
User's acceptance.
Further, the information selection module may include:
Series arrangement unit, for successively arranging each information category according to the sequence of the user's acceptance from big to small
It is classified as following sequence:
{FavDegS1、FavDegS2、……、FavDegSks、……、FavDegSK}
Wherein, ks is the serial number that the sequence of the user's acceptance from big to small is arranged successively, and 1≤ks≤K, K are information
The total number of classification, FavDegSksUser's acceptance for sequence at kth s；
Candidate information classification number determination unit, for the value for meeting the KN of following formula to be determined as candidate information classification
Number:
Wherein, DegThresh is preset user's acceptance threshold value；
Preference information classification number determination unit, for the value for meeting the P of following formula to be determined as preference information classification
Number:
P=min (KN, MaxNum)
Wherein, min is function of minimizing, and MaxNum=ceil (ξ × K), ceil are the function that rounds up, and ξ is default
Proportionality coefficient.
Further, the information category determining module may include:
Keyword selection unit, for arbitrarily choosing an information from the information aggregate as information to be matched, and
Highest priority and a keyword being not yet selected are chosen from the keyword set as current key word；
Keyword searching unit, for searching the current key word in the information to be matched；
Information category determination unit, if for finding the current key word in the information to be matched, it is determined that
The information to be matched and the current key word successful match, and information category corresponding with the current key word is determined
For the information type of the information to be matched.
Further, the information sharing apparatus can also include:
History match record obtains module, for obtaining the record of the history match in the statistical time section；
Successful match number statistical module, for counting each in the keyword set according to history match record
A successful number of Keywords matching；
Priority Determination module, for determining each keyword according to each successful number of Keywords matching
Priority, and the priority of each keyword and the successful number of each Keywords matching are positively correlated.
It is apparent to those skilled in the art that for convenience and simplicity of description, the device of foregoing description,
The specific work process of module and unit, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, is not described in detail or remembers in some embodiment
The part of load may refer to the associated description of other embodiments.
The schematic block diagram that Fig. 5 shows a kind of terminal device provided in an embodiment of the present invention is only shown for ease of description
Part related to the embodiment of the present invention.
In the present embodiment, the terminal device 5 can be desktop PC, notebook, palm PC and cloud clothes
Business device etc. calculates equipment.The terminal device 5 can include: processor 50, memory 51 and be stored in the memory 51 simultaneously
The computer-readable instruction 52 that can be run on the processor 50, such as executing the computer of above-mentioned information sharing method can
Reading instruction.The processor 50 is realized when executing the computer-readable instruction 52 in above-mentioned each information sharing method embodiment
The step of, such as step S101 to S104 shown in FIG. 1.Alternatively, the processor 50 executes the computer-readable instruction 52
The function of each module/unit in the above-mentioned each Installation practice of Shi Shixian, such as the function of module 401 to 404 shown in Fig. 4.
Illustratively, the computer-readable instruction 52 can be divided into one or more module/units, one
Or multiple module/units are stored in the memory 51, and are executed by the processor 50, to complete the present invention.Institute
Stating one or more module/units can be the series of computation machine readable instruction section that can complete specific function, the instruction segment
For describing implementation procedure of the computer-readable instruction 52 in the terminal device 5.
The processor 50 can be central processing unit (Central Processing Unit, CPU), can also be
Other general processors, digital signal processor (Digital Signal Processor, DSP), specific integrated circuit
(Application Specific Integrated Circuit, ASIC), field programmable gate array (Field-
Programmable Gate Array, FPGA) either other programmable logic device, discrete gate or transistor logic,
Discrete hardware components etc..General processor can be microprocessor or the processor is also possible to any conventional processor
Deng.
The memory 51 can be the internal storage unit of the terminal device 5, such as the hard disk or interior of terminal device 5
It deposits.The memory 51 is also possible to the External memory equipment of the terminal device 5, such as be equipped on the terminal device 5
Plug-in type hard disk, intelligent memory card (Smart Media Card, SMC), secure digital (Secure Digital, SD) card dodge
Deposit card (Flash Card) etc..Further, the memory 51 can also both include the storage inside list of the terminal device 5
Member also includes External memory equipment.The memory 51 is for storing the computer-readable instruction and the terminal device 5
Required other instruction and datas.The memory 51 can be also used for temporarily storing the number that has exported or will export
According to.
The functional units in various embodiments of the present invention may be integrated into one processing unit, is also possible to each
Unit physically exists alone, and can also be integrated in one unit with two or more units.Above-mentioned integrated unit both may be used
To use formal implementation of hardware, can also realize in the form of software functional units.
If the integrated unit is realized in the form of SFU software functional unit and sells or use as independent product
When, it can store in a computer readable storage medium.Based on this understanding, technical solution of the present invention substantially or
Person says that all or part of the part that contributes to existing technology or the technical solution can body in the form of software products
Reveal and, which is stored in a storage medium, including several computer-readable instructions are used so that one
Platform computer equipment (can be personal computer, server or the network equipment etc.) executes described in each embodiment of the present invention
The all or part of the steps of method.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory (ROM, Read-
Only Memory), random access memory (RAM, Random Access Memory), magnetic or disk etc. are various can be with
Store the medium of computer-readable instruction.
Embodiment described above is merely illustrative of the technical solution of the present invention, rather than its limitations；Although referring to aforementioned reality
Applying example, invention is explained in detail, those skilled in the art should understand that: it still can be to aforementioned each
Technical solution documented by embodiment is modified or equivalent replacement of some of the technical features；And these are modified
Or replacement, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution.
Claims (10)
1. a kind of information sharing method characterized by comprising
Receive that server issues includes the letter of one or more wait share to the information aggregate of user terminal, in the information aggregate
Breath；
Each information in the information aggregate is successively matched with the keyword in preset keyword set respectively, and
Information category corresponding with the keyword of successful match is determined as to the information category of information, include in the keyword set with
The corresponding each keyword subset of preset each information category includes more than one key in each keyword subset
Word；
User's acceptance corresponding with each information category is calculated separately, the user's acceptance is for indicating user to specified letter
The acceptance level for ceasing the information of classification, according to the user to the letter of the specify information classification in preset statistical time section
The historical feedback record of breath is calculated；
The highest preceding P information category of user's acceptance is chosen as preference information classification, and by information in the information aggregate
Classification is that the information of the preference information classification is shared to the user terminal, wherein P is positive integer.
2. information sharing method according to claim 1, which is characterized in that described to calculate separately and each information category pair
The user's acceptance answered includes:
The statistical time section is divided into T sub-period, wherein T is positive integer；
The historical feedback record of the user in each sub-period is obtained, and each item is calculated according to historical feedback record and is gone through
The score of history information；
User's acceptance corresponding with each information category is calculated separately according to the following formula:
Wherein, k be information category serial number, 1≤k≤K, K be information category total number, t be sub-period serial number, 1≤t≤
T, n are the serial number of information, 1≤n≤Nk,t, Nk,tK-th of the information category received in t-th of sub-period for the user
The total degree of information, InfoScorek,t,nFor the score of the nth information of k-th of information category in t-th of sub-period,
WeighttFor preset weight coefficient, and Weightt<Weightt+1, FavDegkIt is the user to k-th information category
User's acceptance.
3. information sharing method according to claim 1, which is characterized in that the highest preceding P of selection user's acceptance
A information category includes: as preference information classification
Each information category is arranged successively according to the sequence of the user's acceptance from big to small as following sequence:
{FavDegS1、FavDegS2、……、FavDegSks、……、FavDegSK}
Wherein, ks is the serial number that the sequence of the user's acceptance from big to small is arranged successively, and 1≤ks≤K, K are information category
Total number, FavDegSksUser's acceptance for sequence at kth s；
The value for meeting the KN of following formula is determined as to the number of candidate information classification:
Wherein, DegThresh is preset user's acceptance threshold value；
The value for meeting the P of following formula is determined as to the number of preference information classification:
P=min (KN, MaxNum)
Wherein, min is function of minimizing, and MaxNum=ceil (ξ × K), ceil are the function that rounds up, and ξ is preset ratio
Example coefficient.
4. information sharing method according to any one of claim 1 to 3, which is characterized in that described by the information collection
Each information in conjunction is successively matched with the keyword in preset keyword set respectively, and by the pass with successful match
The information category that the corresponding information category of keyword is determined as information includes:
An information is arbitrarily chosen from the information aggregate as information to be matched, and is chosen from the keyword set excellent
A first grade highest and keyword being not yet selected is as current key word；
The current key word is searched in the information to be matched；
If not finding the current key word in the information to be matched, it is described from the keyword set to return to execution
The step of middle keyword choosing highest priority and being not yet selected is as current key word；
If finding the current key word in the information to be matched, it is determined that the information to be matched and the current pass
Keyword successful match, and information category corresponding with the current key word is determined as to the info class of the information to be matched
Type.
5. information sharing method according to claim 4, which is characterized in that the calculating process of the priority includes:
Obtain the history match record in the statistical time section；
The successful number of each Keywords matching in the keyword set is counted according to history match record；
The priority of each keyword, and each key are determined according to each successful number of Keywords matching
The priority of word and the successful number of each Keywords matching are positively correlated.
6. a kind of computer readable storage medium, the computer-readable recording medium storage has computer-readable instruction, special
Sign is, the information point as described in any one of claims 1 to 5 is realized when the computer-readable instruction is executed by processor
The step of enjoying method.
7. a kind of terminal device, including memory, processor and storage are in the memory and can be on the processor
The computer-readable instruction of operation, which is characterized in that the processor realizes following step when executing the computer-readable instruction
It is rapid:
Receive that server issues includes the letter of one or more wait share to the information aggregate of user terminal, in the information aggregate
Breath；
Each information in the information aggregate is successively matched with the keyword in preset keyword set respectively, and
Information category corresponding with the keyword of successful match is determined as to the information category of information, include in the keyword set with
The corresponding each keyword subset of preset each information category includes more than one key in each keyword subset
Word；
User's acceptance corresponding with each information category is calculated separately, the user's acceptance is for indicating user to specified letter
The acceptance level for ceasing the information of classification, according to the user to the letter of the specify information classification in preset statistical time section
The historical feedback record of breath is calculated；
The highest preceding P information category of user's acceptance is chosen as preference information classification, and by information in the information aggregate
Classification is that the information of the preference information classification is shared to the user terminal, wherein P is positive integer.
8. terminal device according to claim 7, which is characterized in that it is described calculate separately it is corresponding with each information category
User's acceptance includes:
The statistical time section is divided into T sub-period, wherein T is positive integer；
The historical feedback record of the user in each sub-period is obtained, and each item is calculated according to historical feedback record and is gone through
The score of history information；
User's acceptance corresponding with each information category is calculated separately according to the following formula:
Wherein, k be information category serial number, 1≤k≤K, K be information category total number, t be sub-period serial number, 1≤t≤
T, n are the serial number of information, 1≤n≤Nk,t, Nk,tK-th of the information category received in t-th of sub-period for the user
The total degree of information, InfoScorek,t,nFor the score of the nth information of k-th of information category in t-th of sub-period,
WeighttFor preset weight coefficient, and Weightt<Weightt+1, FavDegkIt is the user to k-th information category
User's acceptance.
9. terminal device according to claim 7, which is characterized in that the highest preceding P letter of selection user's acceptance
Ceasing classification as preference information classification includes:
Each information category is arranged successively according to the sequence of the user's acceptance from big to small as following sequence:
{FavDegS1、FavDegS2、……、FavDegSks、……、FavDegSK}
Wherein, ks is the serial number that the sequence of the user's acceptance from big to small is arranged successively, and 1≤ks≤K, K are information category
Total number, FavDegSksUser's acceptance for sequence at kth s；
The value for meeting the KN of following formula is determined as to the number of candidate information classification:
Wherein, DegThresh is preset user's acceptance threshold value；
The value for meeting the P of following formula is determined as to the number of preference information classification:
P=min (KN, MaxNum)
Wherein, min is function of minimizing, and MaxNum=ceil (ξ × K), ceil are the function that rounds up, and ξ is preset ratio
Example coefficient.
10. terminal device according to any one of claims 7 to 9, which is characterized in that it is described will be in the information aggregate
Each information successively matched with the keyword in preset keyword set respectively, and by the keyword with successful match
The information category that corresponding information category is determined as information includes:
An information is arbitrarily chosen from the information aggregate as information to be matched, and is chosen from the keyword set excellent
A first grade highest and keyword being not yet selected is as current key word；
The current key word is searched in the information to be matched；
If not finding the current key word in the information to be matched, it is described from the keyword set to return to execution
The step of middle keyword choosing highest priority and being not yet selected is as current key word；
If finding the current key word in the information to be matched, it is determined that the information to be matched and the current pass
Keyword successful match, and information category corresponding with the current key word is determined as to the info class of the information to be matched
Type.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810915161.1A CN109241404B (en) | 2018-08-13 | 2018-08-13 | Information sharing method, computer readable storage medium and terminal equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810915161.1A CN109241404B (en) | 2018-08-13 | 2018-08-13 | Information sharing method, computer readable storage medium and terminal equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109241404A true CN109241404A (en) | 2019-01-18 |
| CN109241404B CN109241404B (en) | 2023-04-07 |
Family
ID=65070371
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810915161.1A Active CN109241404B (en) | 2018-08-13 | 2018-08-13 | Information sharing method, computer readable storage medium and terminal equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109241404B (en) |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100306185A1 (en) * | 2009-06-02 | 2010-12-02 | Xobni, Inc. | Self Populating Address Book |
| CN107122397A (en) * | 2017-03-15 | 2017-09-01 | 百度在线网络技术（北京）有限公司 | Content recommendation method and device |
-
2018
- 2018-08-13 CN CN201810915161.1A patent/CN109241404B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100306185A1 (en) * | 2009-06-02 | 2010-12-02 | Xobni, Inc. | Self Populating Address Book |
| CN107122397A (en) * | 2017-03-15 | 2017-09-01 | 百度在线网络技术（北京）有限公司 | Content recommendation method and device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109241404B (en) | 2023-04-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105224699B (en) | News recommendation method and device | |
| Kywe et al. | On recommending hashtags in twitter networks | |
| CN112434151A (en) | Patent recommendation method and device, computer equipment and storage medium | |
| US20150161529A1 (en) | Identifying Related Events for Event Ticket Network Systems | |
| CN106126582A (en) | Recommend method and device | |
| CN110209807A (en) | A kind of method of event recognition, the method for model training, equipment and storage medium | |
| CN106062743A (en) | Systems and methods for keyword suggestion | |
| CN108132963A (en) | Resource recommendation method and device, computing device and storage medium | |
| US20140324729A1 (en) | Computerized System and Method for Determining an Action Person's Influence on a Transaction | |
| CN107247728B (en) | Text processing method and device and computer storage medium | |
| CN107943910B (en) | Personalized book recommendation method based on combined algorithm | |
| CN107291755A (en) | A kind of terminal method for pushing and device | |
| CN109543940B (en) | Activity evaluation method, activity evaluation device, electronic equipment and storage medium | |
| CN108629010A (en) | It is a kind of to recommend method based on the web services of theme and service combination information | |
| WO2023000491A1 (en) | Application recommendation method, apparatus and device, and computer-readable storage medium | |
| US20160086502A1 (en) | Online learning system, skill evaluation method thereof, and storage media storing the method | |
| CN106919588A (en) | A kind of application program search system and method | |
| Wang et al. | A conceptual peer review model for arXiv and other preprint databases | |
| WO2023024408A1 (en) | Method for determining feature vector of user, and related device and medium | |
| Arai et al. | Predicting quality of answer in collaborative Q/A community | |
| CN109885745A (en) | A kind of user draws a portrait method, apparatus, readable storage medium storing program for executing and terminal device | |
| CN113590945A (en) | Book recommendation method and device based on user borrowing behavior-interest prediction | |
| CN112989118A (en) | Video recall method and device | |
| CN109462635B (en) | Information pushing method, computer readable storage medium and server | |
| CN107665202B (en) | Method and device for constructing interest model and electronic equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |