CN105488161A - Information pushing method and apparatus - Google Patents
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- CN105488161A CN105488161A CN201510857202.2A CN201510857202A CN105488161A CN 105488161 A CN105488161 A CN 105488161A CN 201510857202 A CN201510857202 A CN 201510857202A CN 105488161 A CN105488161 A CN 105488161A
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
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- G06F16/9535—Search customisation based on user profiles and personalisation
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Abstract
The invention discloses an information pushing method and apparatus. An embodiment of the method comprises: obtaining network search range data of each keyword in a keyword set within a predetermined time period; for the network search range data of each keyword, based on a predetermined calculation model, calculating the network search range data to generate a calculation value; based on a calculation value set obtained by calculation, determining importance information related to the keyword set; and pushing the importance information. According to the embodiment, the network search range data are fully utilized and the effectiveness of importance information pushing is improved.
Description
Technical field
The application relates to field of computer technology, is specifically related to Internet technical field, particularly relates to information-pushing method and device.
Background technology
The high speed development of Internet technology, with universal, makes the information content containing magnanimity in internet.Data mining is exactly from a large amount of, incomplete, noisy, fuzzy, random real application data, extract lie in wherein, people are ignorant in advance but be the information of potentially useful and the process of knowledge.Such as, in financial services industry field, by the Result to mass datas such as stock price, advance versus decline trend, trading volumes, some perspective judgements can be made.
Wherein, the humongous search amount packet in internet contains the attention rate of user to each information.But, for humongous search amount data, still also exist and make full use of data that the quantity that obtains from network is on the increase with the demand helping user to make a policy to user's propelling data Result.
Summary of the invention
The object of the application is the information-pushing method and the device that propose a kind of improvement, solves the technical matters that above background technology part is mentioned.
First aspect, this application provides a kind of information-pushing method, and described method comprises: the web search amount data obtaining each keyword in predetermined amount of time in keyword set; For the web search amount data of each keyword, based on predetermined computation model, web search amount data are calculated, generate calculated value; Based on by calculating the calculated value set obtained, determine the importance degree information relevant to described keyword set; Described importance degree information is pushed.
In certain embodiments, described computation model pre-determines as follows: the web-based history volumes of searches data gathering designated key word; Based at least one candidate's computation model, respectively described web-based history volumes of searches data are calculated, generate at least one result of calculation; Relative coefficient between the related information being analyzed each result of calculation and described designated key word by factor-analysis approach; Based on described relative coefficient, from least one candidate's computation model described, determine computation model to be used.
In certain embodiments, described based on described relative coefficient, from at least one candidate's computation model described, determine computation model to be used, comprising: according to the size of relative coefficient, from least one candidate's computation model described, determine computation model to be used.
In certain embodiments, the web search amount data of each keyword in described acquisition predetermined amount of time in keyword set, comprising: for each keyword in keyword set, generate the expanded keyword of this keyword; Obtain the web search amount data of this keyword and expanded keyword in predetermined amount of time respectively and gather, as the web search amount data of this keyword.
In certain embodiments, described expanded keyword comprise following at least one item: the synonym of keyword, related term, brief word, mistake write word.
Second aspect, this application provides a kind of information push-delivery apparatus, and described device comprises: acquiring unit, is configured for the web search amount data of each keyword obtained in predetermined amount of time in keyword set; Computing unit, is configured for the web search amount data for each keyword, based on predetermined computation model, calculates web search amount data, generates calculated value; Determining unit, being configured for based on by calculating the calculated value set obtained, determining the importance degree information relevant to described keyword set; Push unit, is configured for and pushes described importance degree information.
In certain embodiments, described device also comprises: computation model construction unit, and described computation model construction unit comprises acquisition module, computing module, analysis module, determination module; Described acquisition module is configured for the web-based history volumes of searches data gathering designated key word; Described computing module is configured for based at least one candidate's computation model, calculates respectively, generate at least one result of calculation to described web-based history volumes of searches data; Described analysis module be configured for analyze each result of calculation and described designated key word by factor-analysis approach related information between relative coefficient; Described determination module is configured for based on described relative coefficient, from least one candidate's computation model described, determine computation model to be used.
In certain embodiments, described determination module is configured for further: according to the size of relative coefficient, from least one candidate's computation model described, determine computation model to be used.
In certain embodiments, described expanded keyword comprise following at least one item: the synonym of keyword, related term, brief word, mistake write word.
The information-pushing method that the application provides and device, by using predetermined computation model, the web search amount data within a predetermined period of time of each keyword in keyword set are calculated, draw corresponding calculated value, and determine the importance degree information relevant to keyword set based on the calculated value set by calculating gained, finally this importance degree information is pushed, thus take full advantage of web search amount data, achieve and the importance degree information relevant to keyword set is effectively pushed.
Accompanying drawing explanation
By reading the detailed description done non-limiting example done with reference to the following drawings, the other features, objects and advantages of the application will become more obvious:
Fig. 1 is the exemplary system architecture figure that the application can be applied to wherein;
Fig. 2 is the process flow diagram of an embodiment of information-pushing method according to the application;
Fig. 3 is the schematic diagram of an application scenarios of information-pushing method according to the application;
Fig. 4 is the process flow diagram of another embodiment of information-pushing method according to the application;
Fig. 5 is the structural representation of an embodiment of information push-delivery apparatus according to the application;
Fig. 6 is the structural representation of the computer system be suitable for for the terminal device or server realizing the embodiment of the present application.
Embodiment
Below in conjunction with drawings and Examples, the application is described in further detail.Be understandable that, specific embodiment described herein is only for explaining related invention, but not the restriction to this invention.It also should be noted that, for convenience of description, in accompanying drawing, illustrate only the part relevant to Invention.
It should be noted that, when not conflicting, the embodiment in the application and the feature in embodiment can combine mutually.Below with reference to the accompanying drawings and describe the application in detail in conjunction with the embodiments.
Fig. 1 shows the exemplary system architecture 100 can applying the information-pushing method of the application or the embodiment of information push-delivery apparatus.
As shown in Figure 1, system architecture 100 can comprise terminal device 101,102,103, network 104 and server 105.Network 104 is in order at terminal device 101, the medium providing communication link between 102,103 and server 105.Network 104 can comprise various connection type, such as wired, wireless communication link or fiber optic cables etc.
User can use terminal device 101,102,103 mutual by network 104 and server 105, to receive or to send message etc.Terminal device 101,102,103 can be provided with the application of various telecommunication customer end, the application of such as financial investment class, web browser applications, the application of shopping class, search class application, JICQ, mailbox client, social platform software etc.
Terminal device 101,102,103 can be have display screen and the various electronic equipments supporting keyword to input, include but not limited to smart mobile phone, panel computer, E-book reader, MP3 player (MovingPictureExpertsGroupAudioLayerIII, dynamic image expert compression standard audio frequency aspect 3), MP4 (MovingPictureExpertsGroupAudioLayerIV, dynamic image expert compression standard audio frequency aspect 4) player, pocket computer on knee and desk-top computer etc.
Server 105 can be to provide the server of various service, the background server that the information such as sent terminal device 101,102,103 processes.Background server can carry out the process such as analysis to the information that terminal device sends, and result is fed back to terminal device.
It should be noted that, the information-pushing method that the embodiment of the present application provides generally is performed by server 105, and correspondingly, information push-delivery apparatus is generally positioned in server 105.
Should be appreciated that, the number of the terminal device in Fig. 1, network and server is only schematic.According to realizing needs, the terminal device of arbitrary number, network and server can be had.
Continue with reference to figure 2, show the flow process 200 of an embodiment of the information-pushing method according to the application.Described information-pushing method, comprises the following steps:
Step 201, obtains the web search amount data of each keyword in predetermined amount of time in keyword set.
In the present embodiment, the electronic equipment (server 105 such as shown in Fig. 1) that information-pushing method runs thereon can use it to carry out obtaining the network user the search daily record of the search engine searched within a predetermined period of time to the web search amount data of each keyword in keyword set from the network user, wherein, keyword in above-mentioned keyword set is that the network user is interested and be input to the word that search engine carries out searching for, such as, city title, tourist district sight spot, company's full name, company is called for short, financial product title, stock name, stock code.Above-mentioned predetermined amount of time can be the time interval of system default, also can be the time period set as required, such as, and a consecutive days.
Usually, user can input keyword set by terminal device, this keyword set is sent to above-mentioned electronic equipment by wired connection mode or radio connection by this terminal device, and above-mentioned electronic equipment obtains the web search amount data of each keyword in predetermined amount of time in this keyword set according to the keyword set received.It is pointed out that above-mentioned radio connection can include but not limited to 3G/4G connection, WiFi connection, bluetooth connection, WiMAX connection, Zigbee connection, UWB (ultrawideband) connection and other radio connection developed known or future now.
In some optional implementations of the present embodiment, above-mentioned electronic equipment for each keyword in keyword set, can generate the expanded keyword of this keyword; And obtain the web search amount data of this keyword and expanded keyword in predetermined amount of time respectively and gather, as the web search amount data of this keyword.Optionally, the expanded keyword of this keyword can comprise following at least one item: the synonym of this keyword, such as, keyword " school " can have synonym " campus "; The related term of this keyword, such as, keyword stock name can have related term stock code; The brief word of this keyword, such as, " People's Republic of China (PRC) " can have brief word " China "; The mistake of this keyword writes word, and such as, keyword " "Hami" melon " can have mistake and write word " Hami melon ".
Step 202, for the web search amount data of each keyword, based on predetermined computation model, calculates web search amount data, generates calculated value.
In the present embodiment, for the web search amount data of each keyword in the keyword set obtained in step 201, above-mentioned electronic equipment can utilize its inner predetermined computation model, web search amount data are calculated, generates the calculated value that each web search amount data are corresponding.Above-mentioned computation model can be the various models for processing data, such as, and moving average model(MA model), difference model and give the particular model of specific meanings according to actual needs.Here, above-mentioned computation model can be default, also can choose out from multiple computation model by series of steps.
Step 203, based on by calculating the calculated value set obtained, determines the importance degree information relevant to keyword set.
In the present embodiment, the calculated value set obtained is calculated based on step 202, above-mentioned electronic equipment can determine the importance degree information relevant to above-mentioned keyword set, wherein, above-mentioned importance degree information can be the ratio shared by each keyword in above-mentioned keyword set, also can be the weights of each keyword in above-mentioned keyword set.Such as, when above-mentioned keyword set is combined into tourist attractions set, above-mentioned importance degree information can be the number percent between visitor's number of each tourist attractions in these tourist attractions set of prediction and the total number of persons going to each sight spot.Again such as, when above-mentioned keyword set is combined into stock name set, above-mentioned importance degree information can be buy the ratio of total charge shared by each stock in stock name set.
Step 204, pushes importance degree information.
In the present embodiment, above-mentioned electronic equipment by the importance degree information pushing determined in step 203 to terminal device, can be shown by terminal device.
Continue a schematic diagram of the application scenarios see Fig. 3, Fig. 3 being information-pushing method according to the present embodiment.In the application scenarios of Fig. 3, user inputs keyword set " financial product A, financial product B, financial product C, financial product D " by the input control 302 on the page shown by terminal device 301 to server, and after confirming to submit to by submit button 303, first server to obtain in predetermined amount of time the network user for the web search amount data of financial product A, financial product B, financial product C and financial product D; Afterwards, above-mentioned server calculates based on the web search amount data that predetermined computation model is corresponding to each financial product, obtains corresponding calculated value set; Then, above-mentioned server determines the importance degree information relevant to each financial product above-mentioned according to calculated value set, in this application scene, this importance degree information be buy financial product A, financial product B, financial product C, financial product D the amount of money account for the ratio of total value respectively.Finally, by this importance degree information pushing to terminal device, and shown by output control 304, will be as shown in Figure 3.
The method that above-described embodiment of the application provides, by the web search amount data of designated key word being associated with importance degree information, taking full advantage of web search amount data, achieves effective propelling movement of importance degree information.
With further reference to Fig. 4, it illustrates the flow process 400 of another embodiment of information-pushing method.The flow process 400 of this information-pushing method, comprises the following steps:
Step 401, determines computation model.
In the present embodiment, the electronic equipment (server such as shown in Fig. 1) that information-pushing method runs thereon can pre-determine computation model.The concrete steps of above-mentioned electronic equipment determination computation model are: first, gather the web-based history volumes of searches data of designated key word.Above-mentioned electronic equipment gathers the web-based history volumes of searches data of designated key word in predetermined amount of time, here, above-mentioned designated key word can be the keyword that research staff specifies, also can be certain keyword in keyword set, can also be the keyword with keyword identical category in keyword set.Secondly, based at least one candidate's computation model, respectively above-mentioned web-based history volumes of searches data are calculated, generate at least one result of calculation.Above-mentioned candidate's computation model can be the various models processed data, such as, and moving average model(MA model), difference model and give the particular model of specific meanings according to actual needs.Again, the relative coefficient between the related information being analyzed each result of calculation and above-mentioned designated key word by factor-analysis approach.Above-mentioned related information can be the various information be associated with above-mentioned designated key word, such as, the related information be associated with the keyword of tourist attractions can be domestic visitors information, and again such as, the related information be associated with financial product keyword can be the price of this financial product.Finally, based on above-mentioned relative coefficient, from least one candidate's computation model, determine computation model to be used.
In some optional implementations of the present embodiment, above-mentioned electronic equipment can according to the size of relative coefficient, and use different web-based history volumes of searches data to carry out calculating, analyze after obtain the stability of relative coefficient, determine computation model to be used.
Step 402, obtains the web search amount data of each keyword in predetermined amount of time in keyword set.
In the present embodiment, the electronic equipment that information-pushing method runs thereon can use it to carry out obtaining the network user the search daily record of the search engine searched within a predetermined period of time to the web search amount data of each keyword in keyword set from the network user.
Step 403, for the web search amount data of each keyword, based on predetermined computation model, calculates web search amount data, generates calculated value.
In the present embodiment, for the web search amount data of each keyword in the keyword combination obtained in step 402, above-mentioned electronic equipment can use the computation model determined in step 401 to calculate, and generates the calculated value that each web search amount data are corresponding.
Step 404, based on by calculating the calculated value set obtained, determines the importance degree information relevant to keyword set.
In the present embodiment, utilize step 403 to calculate the calculated value set obtained, above-mentioned electronic equipment can determine the importance degree information relevant to above-mentioned keyword set.
Step 405, pushes importance degree information.
In the present embodiment, the importance degree information obtained in step 404 can push by above-mentioned electronic equipment, such as, can be pushed to terminal device, then be shown by terminal device.
As can be seen from Figure 4, compared with the embodiment that Fig. 2 is corresponding, the flow process 400 of the information-pushing method in the present embodiment highlights the step determined computation model.Thus, the computation model that the scheme that the present embodiment describes can be applicable to more, ensure that the correlativity between the web search amount data of each keyword and related information, thus the information making propelling movement will be more effective.
With further reference to Fig. 5, as the realization to method shown in above-mentioned each figure, this application provides an a kind of embodiment of information push-delivery apparatus, this device embodiment is corresponding with the embodiment of the method shown in Fig. 2, and this device specifically can be applied in various electronic equipment.
As shown in Figure 5, the information push-delivery apparatus 500 described in the present embodiment comprises: acquiring unit 501, computing unit 502, determining unit 503 and push unit 504.Wherein, acquiring unit 501 is configured for the web search amount data of each keyword obtained in predetermined amount of time in keyword set; Computing unit 502 is configured for the web search amount data for each keyword, based on predetermined computation model, calculates web search amount data, generates calculated value; Determining unit 503 is configured for based on by calculating the calculated value set obtained, and determines the importance degree information relevant to described keyword set; Push unit 504 is configured for and pushes described importance degree information.
In the present embodiment, the acquiring unit 501 of information push-delivery apparatus 500 can use it to carry out obtaining the network user the search daily record of the search engine searched within a predetermined period of time to the web search amount data of each keyword in keyword set from the network user, wherein, the keyword in above-mentioned keyword set is that the network user is interested and be input to the word that search engine carries out searching for.
In the present embodiment, based on the web search amount data of each keyword in the keyword combination that acquiring unit 501 obtains, above-mentioned computing unit 502 can utilize predetermined computation model, calculates web search amount data, generates the calculated value that these web search amount data are corresponding.
In the present embodiment, calculate the calculated value set obtained based on computing unit 502, above-mentioned determining unit 503 can determine the importance degree information relevant to above-mentioned keyword set.
In the present embodiment, the importance degree information pushing that above-mentioned push unit 504 can be determined above-mentioned determining unit 503, to terminal device, is shown by terminal device.
It will be understood by those skilled in the art that above-mentioned information push-delivery apparatus 500 also comprises some other known features, such as processor, storeies etc., in order to unnecessarily fuzzy embodiment of the present disclosure, these known structures are not shown in Figure 5.
Below with reference to Fig. 6, it illustrates the structural representation of the computer system 600 of terminal device or the server be suitable for for realizing the embodiment of the present application.
As shown in Figure 6, computer system 600 comprises CPU (central processing unit) (CPU) 601, and it or can be loaded into the program random access storage device (RAM) 603 from storage area 608 and perform various suitable action and process according to the program be stored in ROM (read-only memory) (ROM) 602.In RAM603, also store system 600 and operate required various program and data.CPU601, ROM602 and RAM603 are connected with each other by bus 604.I/O (I/O) interface 605 is also connected to bus 604.
I/O interface 605 is connected to: the importation 606 comprising keyboard, mouse etc. with lower component; Comprise the output 607 of such as cathode-ray tube (CRT) (CRT), liquid crystal display (LCD) etc. and loudspeaker etc.; Comprise the storage area 608 of hard disk etc.; And comprise the communications portion 609 of network interface unit of such as LAN card, modulator-demodular unit etc.Communications portion 609 is via the network executive communication process of such as the Internet.Driver 610 is also connected to I/O interface 605 as required.Detachable media 611, such as disk, CD, magneto-optic disk, semiconductor memory etc., be arranged on driver 610 as required, so that the computer program read from it is mounted into storage area 608 as required.
Especially, according to embodiment of the present disclosure, the process that reference flow sheet describes above may be implemented as computer software programs.Such as, embodiment of the present disclosure comprises a kind of computer program, and it comprises the computer program visibly comprised on a machine-readable medium, and described computer program comprises the program code for the method shown in flowchart.In such embodiments, this computer program can be downloaded and installed from network by communications portion 609, and/or is mounted from detachable media 611.
Process flow diagram in accompanying drawing and block diagram, illustrate according to the architectural framework in the cards of the system of the various embodiment of the application, method and computer program product, function and operation.In this, each square frame in process flow diagram or block diagram can represent a part for module, program segment or a code, and a part for described module, program segment or code comprises one or more executable instruction for realizing the logic function specified.Also it should be noted that at some as in the realization of replacing, the function marked in square frame also can be different from occurring in sequence of marking in accompanying drawing.Such as, in fact the square frame that two adjoining lands represent can perform substantially concurrently, and they also can perform by contrary order sometimes, and this determines according to involved function.Also it should be noted that, the combination of the square frame in each square frame in block diagram and/or process flow diagram and block diagram and/or process flow diagram, can realize by the special hardware based system of the function put rules into practice or operation, or can realize with the combination of specialized hardware and computer instruction.
Be described in unit involved in the embodiment of the present application to be realized by the mode of software, also can be realized by the mode of hardware.Described unit also can be arranged within a processor, such as, can be described as: a kind of processor comprises acquiring unit, computing unit, determining unit and push unit.Wherein, the title of these unit does not form the restriction to this unit itself under certain conditions, and such as, acquiring unit can also be described to " obtaining the unit of the web search amount data of each keyword in predetermined amount of time in keyword set ".
As another aspect, present invention also provides a kind of non-volatile computer storage medium, this non-volatile computer storage medium can be the non-volatile computer storage medium comprised in device described in above-described embodiment; Also can be individualism, be unkitted the non-volatile computer storage medium allocated in terminal.Above-mentioned non-volatile computer storage medium stores one or more program, when one or more program described is performed by an equipment, make described equipment: the web search amount data obtaining each keyword in predetermined amount of time in keyword set; For the web search amount data of each keyword, based on predetermined computation model, web search amount data are calculated, generate calculated value; Based on by calculating the calculated value set obtained, determine the importance degree information relevant to described keyword set; Described importance degree information is pushed.
More than describe and be only the preferred embodiment of the application and the explanation to institute's application technology principle.Those skilled in the art are to be understood that, invention scope involved in the application, be not limited to the technical scheme of the particular combination of above-mentioned technical characteristic, also should be encompassed in when not departing from described inventive concept, other technical scheme of being carried out combination in any by above-mentioned technical characteristic or its equivalent feature and being formed simultaneously.The technical characteristic that such as, disclosed in above-mentioned feature and the application (but being not limited to) has similar functions is replaced mutually and the technical scheme formed.
Claims (10)
1. an information-pushing method, is characterized in that, described method comprises:
Obtain the web search amount data of each keyword in predetermined amount of time in keyword set;
For the web search amount data of each keyword, based on predetermined computation model, web search amount data are calculated, generate calculated value;
Based on by calculating the calculated value set obtained, determine the importance degree information relevant to described keyword set;
Described importance degree information is pushed.
2. method according to claim 1, is characterized in that, described computation model pre-determines as follows:
Gather the web-based history volumes of searches data of designated key word;
Based at least one candidate's computation model, respectively described web-based history volumes of searches data are calculated, generate at least one result of calculation;
Relative coefficient between the related information being analyzed each result of calculation and described designated key word by factor-analysis approach;
Based on described relative coefficient, from least one candidate's computation model described, determine computation model to be used.
3. method according to claim 2, is characterized in that, described based on described relative coefficient, determines computation model to be used, comprising from least one candidate's computation model described:
According to the size of relative coefficient, from least one candidate's computation model described, determine computation model to be used.
4. method according to claim 1, is characterized in that, the web search amount data of each keyword in described acquisition predetermined amount of time in keyword set, comprising:
For each keyword in keyword set, generate the expanded keyword of this keyword;
Obtain the web search amount data of this keyword and expanded keyword in predetermined amount of time respectively and gather, as the web search amount data of this keyword.
5. method according to claim 4, is characterized in that, described expanded keyword comprise following at least one item: the synonym of keyword, related term, brief word, mistake write word.
6. an information push-delivery apparatus, is characterized in that, described device comprises:
Acquiring unit, is configured for the web search amount data of each keyword obtained in predetermined amount of time in keyword set;
Computing unit, is configured for the web search amount data for each keyword, based on predetermined computation model, calculates web search amount data, generates calculated value;
Determining unit, being configured for based on by calculating the calculated value set obtained, determining the importance degree information relevant to described keyword set;
Push unit, is configured for and pushes described importance degree information.
7. device according to claim 6, is characterized in that, described device also comprises:
Computation model construction unit, described computation model construction unit comprises acquisition module, computing module, analysis module, determination module;
Described acquisition module is configured for the web-based history volumes of searches data gathering designated key word;
Described computing module is configured for based at least one candidate's computation model, calculates respectively, generate at least one result of calculation to described web-based history volumes of searches data;
Described analysis module be configured for analyze each result of calculation and described designated key word by factor-analysis approach related information between relative coefficient;
Described determination module is configured for based on described relative coefficient, from least one candidate's computation model described, determine computation model to be used.
8. device according to claim 7, is characterized in that, described determination module is configured for further:
According to the size of relative coefficient, from least one candidate's computation model described, determine computation model to be used.
9. device according to claim 6, is characterized in that, described acquiring unit is configured for further:
For each keyword in keyword set, generate the expanded keyword of this keyword;
Obtain the web search amount data of this keyword and expanded keyword in predetermined amount of time respectively and gather, as the web search amount data of this keyword.
10. device according to claim 9, is characterized in that, described expanded keyword comprise following at least one item: the synonym of keyword, related term, brief word, mistake write word.
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| CN108628861A (en) * | 2017-03-15 | 2018-10-09 | 百度在线网络技术（北京）有限公司 | Method and apparatus for pushed information |
| CN109150934A (en) * | 2017-06-16 | 2019-01-04 | 百度在线网络技术（北京）有限公司 | Information-pushing method and device |
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