CN103164447A - Method and device for searching target information - Google Patents
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- CN103164447A CN103164447A CN2011104187348A CN201110418734A CN103164447A CN 103164447 A CN103164447 A CN 103164447A CN 2011104187348 A CN2011104187348 A CN 2011104187348A CN 201110418734 A CN201110418734 A CN 201110418734A CN 103164447 A CN103164447 A CN 103164447A
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Abstract
The invention discloses a method and a device for searching target information. The method for searching the target information comprises the steps of receiving a search searching request sent by a user terminal; determining current individual data archives which correspond to user information in an individual data archive storehouse according to the user information carried by the searching request, wherein the individual data archive storehouse comprises age data and automatically updates according to time; and searching and displaying a target information set obtained through searching according to the searching requests and the current individual data archives. By the adoption of the method and the device, the problems that in the prior art, target information searching is inaccurate, high in cost and low in efficiency are solved.
Description
Technical field
The application relates to communication field, relates in particular to a kind of method and device of searching for target information.
Background technology
At present, along with the fast development of ecommerce, the commodity that increasing user's selection needs by NetFind.Yet information of goods information data becomes increasingly abundant, and quantity is also larger, finds fast the information of goods information data that meets customer demand very difficult in numerous merchandise newss.
To this, the scheme of personalized recommendation has been proposed in prior art, can according to the recorded information such as user's browsing in the past, purchase or most of users' buying habit, provide the information of goods information data that may need for the client, to shorten the time of user's free choice of goods.It mainly is divided into dual mode: User-Base recommendation and Item-Base recommendation this Extraordinary suggested design.Wherein, User-Base recommend be mainly by to the browsing of user, collect, the information such as purchase analyzes, and similar users is carried out cluster, then recommend by people having the same habits crowd's the commodity of browsing, buying; It is mainly to excavate and set up the commodity Relations Among that Item-Based recommends, relation as more classical beer and diaper, perhaps mobile phone and accessory Relations Among etc., by the backstage constantly improve and the commodity that expand between concern the storehouse, thereby concern in the storehouse with its coupling or have other commodity of relation for its recommendation when have the user to buy certain part commodity.
But the personalized recommendation of User-Based mode is mainly by collecting a large amount of user profile, then carrying out obtaining results such as user characteristics, preference, targets after statistical study.Because most user data is more sparse, the result that therefore obtains is not comprehensive, and accuracy is not high yet, directly affects thus the group clustering result of back.And, result based on colony's wisdom is recommended, can only say and realize to a certain extent personalization, similar colony cluster process has deviation, other people's selection does not in other words represent it must is that present recommended people really needs, so the User-Based way of recommendation has lacked application and the filtration of the real personal characteristics of user on the basis as a result based on colony.
When using the Item-Based mode, the commodity and the user's request that easily occur recommending differ greatly.For example, the user needs mobile phone products information, but the product information of having recommended Cellphone Accessories.And the network of personal connections of setting up between magnanimity merchandise news is a very great engineering, and is substantially impossible by manual maintenance, and by algorithm or machine match, accuracy and the interpretation of result are very poor.Therefore be in most cases to safeguard by craft or semi-hand to concern the storehouse, inefficiency and cost are larger.
Summary of the invention
In view of this, the embodiment of the present application provides a kind of method and device of searching for target information, and prior art search target information is inaccurate, cost is large, inefficient problem for solving.
The embodiment of the present application is achieved through the following technical solutions:
An aspect according to the embodiment of the present application provides a kind of method of searching for target information.
The method of the search target information that provides according to the embodiment of the present application comprises:
Receive the searching request that user terminal sends;
According to the user profile that described searching request is carried, determine current personality data archives corresponding to described user profile in the personality data file store; Wherein, described personality data archives comprise age data, and automatically upgrade according to the time;
According to described searching request and described current personality data archives, search for and show and search for the target information group that obtains.
According to another aspect of the embodiment of the present application, a kind of device of searching for target information also is provided, comprising:
Receiver module is used for receiving the searching request that user terminal sends;
Determination module for the user profile of carrying according to described searching request, is determined current personality data archives corresponding to described user profile in the personality data file store; Wherein, the age data that described personality data archives comprise, and automatically upgrade according to the time;
Search module is used for according to described searching request and described current personality data archives, searches for and shows and search for the target information group that obtains.
Above-mentioned at least one technical scheme by the embodiment of the present application provides receives the searching request that user terminal sends; According to the user profile that described searching request is carried, determine current personality data archives corresponding to described user profile in the personality data file store; Wherein, described personality data archives comprise age data, and automatically upgrade according to the time; According to described searching request and described current personality data archives, search for and show and search for the target information group that obtains.Recommend and the Item-Base recommendation than the User-Base of prior art, method and the device of the search target information that the embodiment of the present application provides by for each user sets up the personality data archives, and upgrade the related data of these personality data archives automatically.When the user asks to search for target information, can be directly according to the target information of this personality data archives search with the End-user relevance maximum.And the user can check, revises, increase newly these personality data archives at any time.Thus, improve accuracy and the search efficiency of search target information, and reduce costs.
The application's further feature and advantage will be set forth in the following description, and, partly become apparent from instructions, perhaps understand by implementing the application.The application's purpose and other advantages can realize and obtain by specifically noted structure in the instructions of writing, claims and accompanying drawing.
Description of drawings
Accompanying drawing is used to provide the further understanding to the application, and consists of the part of instructions, is used from explanation the application with the embodiment of the present application one, does not consist of the restriction to the application.In the accompanying drawings:
Fig. 1 is the method flow schematic diagram of search target information in the embodiment of the present application;
Fig. 2 sets up the schematic flow sheet of personality data archives in the embodiment of the present application 1;
Fig. 3 upgrades the schematic flow sheet of personality data archives automatically in the embodiment of the present application 2;
Fig. 4 is the method flow schematic diagram of search target information in the embodiment of the present application 3;
Fig. 5 is the device schematic diagram of search target information in the embodiment of the present application 4.
Embodiment
In order to provide the implementation of search target information, the embodiment of the present application provides a kind of method and device of search data, this technical scheme can be applied to search for the process of target information, both can be implemented as a kind of method, also can be implemented as a kind of device or server apparatus.Describe below in conjunction with the preferred embodiment of Figure of description to the application, should be appreciated that preferred embodiment described herein only is used for description and interpretation the application, and be not used in restriction the application.And in the situation that do not conflict, embodiment and the feature in embodiment in the application can make up mutually.
The embodiment of the present application provides a kind of method of searching for target information, as shown in Figure 1, comprises the following steps:
The searching request that step S101, reception user terminal send;
Step S102, the user profile of carrying according to searching request are determined current personality data archives corresponding to user profile in the personality data file store; Wherein, described personality data archives comprise age data, and automatically upgrade according to the time;
Step S103, according to searching request and current personality data archives, search for and show the target information group that obtains of search.
Embodiment 1:
In order to recommend the closer target information of correlativity to the user, set up the personality data file store in can having other servers of communication connection at network server apparatus or with network server apparatus, preserve user's personality data archives.The user is by after user terminal logging in network server apparatus, fill in the personality data archives and preserve, these personality data archives are corresponding one by one with user's user profile, can comprise user's attribute information, as sex, age data, height data, weight data, user preference etc.In addition, can also be according to user's operational order, to the personality data archives that this user who preserves in the personality data file store is corresponding check, newly-increased or modification etc., for example user preference is revised as B board milk powder from A board milk powder.
to set up baby's infant personality data archives as example, the sex of supposing baby is the man, age is one month, body weight is 3.5 kilograms, height is 49 centimetres, the target information of search is milk powder information, this milk powder information is divided into many group milk powder information according to the age, as 1 month to 3 months age be one group, 4 months to 6 months age was one group etc., age data according to the user can directly search its applicable milk powder information like this, namely can directly show target information corresponding to this user (the milk powder information at 1 month to 3 months age), and can be to user's recommended age greater than 3 months applicable milk powder, this has reduced the time loss that shows that unnecessary target information is brought.In like manner, the target information of supposing search is overcoat information, this overcoat information is divided into many group overcoat information according to the age, being 0-50 centimetre as height is that to be 50-80 centimetre be one group etc. for one group, height, height data according to the user can directly search its applicable overcoat information like this, namely can directly show target information corresponding to this user (height is the overcoat information of 0-50 centimetre), and can not recommend height greater than 50 centimetres of applicable overcoats to the user, this has improved the efficient of search target information.In addition, can also be according to user preference, the screening target information is also set up corresponding relation, is A board milk powder as user preference, only shows A board milk powder information to the user; Perhaps can also in conjunction with other choice of parameters target informations in the user personality data, for example show to the user A board milk powder information that is applicable to 1 month to 3 months age.
After preserving these personality data archives, these personality data archives comprise age data, and automatically upgrade according to the time.Concrete, according to predetermined point of time or according to current time and the last difference between update time automatically of personality data archives, automatically upgrade this age data.These personality data archives can also comprise height data and/or weight data, and can be according to the age data after upgrading, and the corresponding relation of age data and height data and/or weight data, upgrade height data and/or weight data in the personality data archives.The current personality data of supposing the user is: sex is the man, and the age is one month, and body weight is 3.5 kilograms, and height is 49 centimetres; Suppose that schedule time threshold value is one month, begin timing from preserving above-mentioned age data, after one month, automatic personality data with the user is revised as: sex is the man, and the age is 2 months, and body weight is 5 kilograms, and height is 55 centimetres.Wherein, when upgrading height data, weight data, can be according to the corresponding relation of the age data that presets and height data, the corresponding relation of age data and weight data upgrades.Generally, the age of different sexes is different from the corresponding relation of height/body weight, treasure for Man in the time of precious month for example, and its height scope is that 48.2 centimetres to 52.8 centimetres, weight range are at 3.6 kilograms to 5 kilograms; Treasure for woman is in the time of precious one month, and its height scope is that 47.7 centimetres to 52.0 centimetres, weight range are at 2.7 kilograms to 3.6 kilograms.Concrete height and weight data can be changed or revise according to actual conditions.
After the user signs in to network server apparatus by user terminal again, can only search for according to the key word of input, also can search in conjunction with the key word of input by these personality data archives of choice for use.Concrete, according to searching request and current personality data archives, search for and when showing the target information group that searches, can adopt different combinations to search for, for example:
Mode one: when searching request is carried keyword, according to the keyword that searching request is carried, search first object information group; Obtain personality data corresponding with keyword in the personality data archives, the personality data as filtercondition, are filtered first object information group, obtain and show the second target information group.For example, suppose that keyword is " trousers ", first arrives first object information group according to this keyword search; Then, obtain the personality data corresponding with this keyword in the personality data archives, as the apparel brand N of height information M, user preference; The apparel brand N of this height information M and user preference as filtercondition, is filtered first object information group, obtain and show the second target information group.Further, when first object information group was empty, display-object information group was empty information; When the second target information group of first object information group non-NULL, acquisition is empty, whether detect the quantity of personality data greater than zero, if greater than, after the quantity of personality data being subtracted one, first object information group is filtered, obtain and show the second target information group; If be not more than, show first object information group.Wherein, the quantity of personality data is subtracted for the moment, can according to the priority of personality data or with the degree of association of keyword, select the personality data of removal.
Mode two: when searching request is carried keyword, obtain personality data corresponding with keyword in the personality data archives; According to the personality data, search first object information group; According to keyword, search in first object information group and show the second target information group.For example, suppose that keyword is " trousers ", first obtains the personality data corresponding with this keyword, as the apparel brand N of height information M, user preference in the personality data archives; Then, the apparel brand N according to this height information M, user preference searches first object information group; According to keyword, search in first object information group again, obtain and show the second target information group.Further, first object information group be empty or the second target information group when empty, whether detect the quantity of personality data greater than zero, if greater than, after the quantity of personality data being subtracted one, search again; If be not more than, display-object information group is empty information.
Mode three: obtain personality data corresponding with keyword in the personality data archives; According to keyword and personality data, search for and show and search for the target information group that obtains.Namely, the keyword that personality data that will be corresponding with keyword are used when also conduct is searched for, both are in conjunction with laggard line search.For example, suppose that keyword is " trousers ", first obtains the personality data corresponding with this keyword, as the apparel brand N of height information M, user preference in the personality data archives; Then, with the apparel brand N of " trousers ", height information M and user preference as keyword, search and display-object information group.Further, when being empty, whether detect the quantity of personality data greater than zero when the target information group, if greater than, after the quantity of personality data being subtracted one, according to keyword and current personality data, search and display-object information group; If be not more than, display-object information group is empty information.
The mode of the part search target information that the method that aforesaid way only provides for the embodiment of the present invention comprises, the way of search that can also use other personality data parameters to be combined with keyword.
Embodiment 2:
Describe setting up the process of also automatically upgrading the personality data archives below by object lesson, be assumed to be current 6 months large treasure for woman treasured and set up the personality data archives, as shown in Figure 2, its detailed process comprises the following steps:
Step S201, user fill in and preserve the personality data archives by user terminal logging in network server apparatus according to information;
Concrete, the user fills in the information such as age, sex, height, body weight, user preference according to information; Also height, body weight be can not fill in, by the corresponding relation of the age of presetting, sex and height/body weight, height, body weight in active user's personality data archives determined.Target information is divided into a plurality of groups according to parameters such as age, size, characteristics, when being milk powder information as this target information, its age according to applicable children is divided into many groups, like this, during the search target information, the scope of target information be can dwindle according to the personality data in the personality data archives, search precision and speed improved.
When the user revises or increases newly the personality data archives by operational order, according to new personality data archives, rebulid the corresponding relation of itself and target information, for example baby's height is revised as larger numerical value, target information and current personality data archives that accordingly will be corresponding with new height be set up corresponding relation.
Step S202, reach the schedule time after, automatically upgrade current personality data archives.
Concrete, according to the corresponding relation of the age data in the personality data archives, age data and height data and/or weight data, regularly upgrade the personality data archives; For example, the age data in the personality data archives that the user preserves is 6 months, and each month upgrades once, and when baby 7 months was large, the age data in these personality data archives was automatically updated into 7 months.Then according to the age data after upgrading, upgrade height data or weight data.
In the step S102 and step S202 of the said method that the embodiment of the present application provides, all relate to automatic renewal personality data archives.The personality data file store at this personality data archives place can be arranged in the webserver, also can be arranged in the server that other and the webserver have communication connection, perhaps independently in associated storage device.When automatically upgrading, according to predetermined point of time or according to current time and the last difference between update time automatically of personality data archives, automatically upgrade age data; Then, can be according to after upgrading or amended age data, and the corresponding relation of age data and height data and/or weight data, height data and/or weight data in renewal personality data archives.Wherein, automatically upgrade age data according to predetermined point of time, comprising: whether the detection current time reaches predetermined point of time, if reach, the age numerical value in age data is increased predetermined increment; According to current time and the last difference between update time automatically of personality data archives, automatically upgrade age data, comprise: detect the last difference between update time automatically of current time and personality data archives, whether equal schedule time threshold value, if equal, the age numerical value in age data is increased predetermined increment.Generally, predetermined increment is the last difference between update time automatically of current time and personality data archives.Below by specific embodiment, this renewal process is elaborated, suppose that the personality data archives that the user preserved on January 1st, 2011 are: treasure for Man is precious, 2 months, height data are that 55 centimetres, weight data are 6 kilograms, preference milk powder brand is X, when these personality data archives upgrade automatically, as shown in Figure 3, comprise the following steps:
Step S301, obtain the last time difference of update time automatically of current time and personality data archives;
Step S302, detection time, whether difference was greater than schedule time threshold value; If be not more than, continue execution in step S301; If greater than, execution in step S303;
Age data in step S303, renewal personality data archives; Age numerical value in age data is increased predetermined increment;
Step S304, according to the age data after upgrading, upgrade height data and weight data.Concrete, can set up in advance baby's Growth and development index standard scale, as shown in Table 1, being used for baby to all ages and classes provides the height data of standard comparatively, weight data etc.
Table one
| Sex | Age | Height | Body weight |
| The man | 1 month | 48.2-52.8CM | 3.6-5.0kg |
| The female | 1 month | 47.7-52.0cm | 2.7-3.6kg |
Above-mentioned schedule time upgrades threshold value and can be one month, two months, a season or half a year etc., and its concrete numerical value can be set up on their own or be Used Defaults by the user, perhaps according to the time limit property setting of target information.Can also adopt mode regularly to upgrade this personality data archives, for example XXXX XX month XX day upgrades once.
Below in conjunction with accompanying drawing, with specific embodiment, method and the device that the application provides is described in detail.
Embodiment 3:
Based on above-mentioned personality data archives New Characteristics more automatically, the user is by user terminal logging in network server apparatus search target information, and when select starting automatic search target information function, network server apparatus can search corresponding target information and show according to current personality data archives.When realizing the method for this search target information, detailed process comprises the following steps as shown in Figure 4:
Step S401, network server apparatus receive the searching request that user terminal sends;
Step S402, parsing searching request obtain user profile; This user profile unique identification user can find personality data archives that the user preserves, that regularly upgrade by it.
Step S403, according to user profile, determine current personality data archives corresponding to user profile in the personality data file store;
Step S404, judge whether this searching request carries keyword, if carry keyword, execution in step S405; Otherwise, execution in step S407;
Step S405, obtain the personality data corresponding to keyword of carrying with searching request in the personality data archives; Concrete, can according to the corresponding relation of this keyword and personality data, get corresponding personality data.Wherein, this corresponding relation can be set up in advance with the form of list.Can also adopt other mode to obtain corresponding personality data, for example keyword and each personality data in the personality data archives are carried out successively related, the acquisition degree of association; Obtain the degree of association greater than the personality data of predetermined association degree threshold value.For example, when keyword is " milk powder ", can carry out related with age data and milk powder brand in the personality data archives it.Perhaps, this keyword of preserving according to the user and the regular collocation of personality data are perhaps according to the custom characteristic of searching for target information before the user etc.
Step S406, according to personality data and keyword, search the target information group, execution in step S408; Detailed process does not repeat them here referring to embodiment 1.
Step S407, according to the personality data in current personality data archives, search the target information group;
The target information group that step S408, demonstration find.The form of display-object information can be various ways, watches as good to facilitate the user, as showing with tabular form.
By foregoing description, can find out, use the method for the search target information that the embodiment of the present application provides, by for each user sets up the personality data archives, and automatically upgrade the related data of these personality data archives.When the user asks to search for target information, can be directly according to the target information of this personality data archives search with the End-user relevance maximum.And the user can check, revises, increase newly these personality data archives at any time.Thus, improve accuracy and the search efficiency of search target information, and reduce costs.
Embodiment 4:
Based on same application design, the method for the search target information that provides according to the above embodiments of the present application, correspondingly, the embodiment of the present application also provides a kind of device of searching for target information, and its structural representation specifically comprises as shown in Figure 5:
Better, this device also comprises:
Set up module 504, be used for setting up the personality data file store, preserve user's personality data archives; Described personality data archives are corresponding one by one with user's user profile.
Better, this device also comprises:
Better, when the personality data archives also comprise height data and/or weight data, described update module 505 also is used for according to the age data after upgrading, and the corresponding relation of age data and height data and/or weight data, upgrade height data and/or weight data in described personality data archives.
Better, when searching request is carried keyword, above-mentioned search module 503, concrete keyword for carrying according to described searching request searches first object information group; Obtain personality data corresponding with described keyword in described personality data archives, described personality data as filtercondition, are filtered described first object information group, obtain and show the second target information group; Or
Obtain personality data corresponding with described keyword in described personality data archives; According to described personality data, search first object information group; According to described keyword, search in described first object information group and show the second target information group; Or
Obtain personality data corresponding with described keyword in described personality data archives; According to described keyword and described personality data, search for and show and search for the target information group that obtains.
The function of above-mentioned each module can corresponding to the respective handling step in Fig. 1 or flow process shown in Figure 4, not repeat them here.
The device of the search target information that the application's embodiment provides can be realized by computer program.Those skilled in the art should be understood that; above-mentioned Module Division mode is only a kind of in numerous Module Division modes; if be divided into other modules or do not divide module, as long as the device of search target information has above-mentioned functions, all should be within the application's protection domain.
Based on same application design, the method and apparatus of the search target information that provides according to the above embodiments of the present application, correspondingly, the embodiment of the present application also provides a kind of network server apparatus, and this comprises: the device of above-mentioned search target information.
By foregoing description, can find out, use method, device and the network server apparatus of the search target information that the embodiment of the present application provides, by for each user sets up the personality data archives, and automatically upgrade the related data of these personality data archives.When the user asks to search for target information, can be directly according to the target information of this personality data archives search with the End-user relevance maximum.And the user can check, revises, increase newly these personality data archives at any time.Thus, improve accuracy and the search efficiency of search target information, and reduce costs.
The application is that reference is described according to process flow diagram and/or the block scheme of method, equipment (system) and the computer program of the embodiment of the present application.Should understand can be by the flow process in each flow process in computer program instructions realization flow figure and/or block scheme and/or square frame and process flow diagram and/or block scheme and/or the combination of square frame.Can provide these computer program instructions to the processor of multi-purpose computer, special purpose computer, Embedded Processor or other programmable data processing device to produce a machine, make the instruction of carrying out by the processor of computing machine or other programmable data processing device produce to be used for the device of realizing in the function of flow process of process flow diagram or a plurality of flow process and/or square frame of block scheme or a plurality of square frame appointments.
These computer program instructions also can be stored in energy vectoring computer or the computer-readable memory of other programmable data processing device with ad hoc fashion work, make the instruction that is stored in this computer-readable memory produce the manufacture that comprises command device, this command device is realized the function of appointment in flow process of process flow diagram or a plurality of flow process and/or square frame of block scheme or a plurality of square frame.
These computer program instructions also can be loaded on computing machine or other programmable data processing device, make on computing machine or other programmable devices and to carry out the sequence of operations step producing computer implemented processing, thereby be provided for realizing the step of the function of appointment in flow process of process flow diagram or a plurality of flow process and/or square frame of block scheme or a plurality of square frame in the instruction of carrying out on computing machine or other programmable devices.
Obviously, those skilled in the art can carry out various changes and modification and the spirit and scope that do not break away from the application to the application.Like this, if within these of the application are revised and modification belongs to the scope of the application's claim and equivalent technologies thereof, the application also is intended to comprise these changes and modification interior.
Claims (10)
1. a method of searching for target information, is characterized in that,
Receive the searching request that user terminal sends;
According to the user profile that described searching request is carried, determine current personality data archives corresponding to described user profile in the personality data file store; Wherein, described personality data archives comprise age data, and automatically upgrade according to the time;
According to described searching request and described current personality data archives, search for and show and search for the target information group that obtains.
2. the method for claim 1, is characterized in that, also comprises:
Set up the personality data file store, preserve user's personality data archives;
Described personality data archives are corresponding one by one with user's user profile.
3. method as claimed in claim 2, is characterized in that, wherein, described personality data archives comprise age data, and automatically upgrade according to the time, comprising:
According to predetermined point of time or according to current time and the last difference between update time automatically of personality data archives, automatically upgrade described age data.
4. method as claimed in claim 3, is characterized in that, also comprises:
Described personality data archives also comprise height data and/or weight data;
According to the age data after upgrading, and the corresponding relation of age data and height data and/or weight data, height data and/or weight data in described personality data archives upgraded.
5. the method for claim 1, is characterized in that, when described searching request is carried keyword, according to described searching request and described current personality data archives, searches for and show the target information group that search obtains, and comprising:
According to the keyword that described searching request is carried, search first object information group;
Obtain personality data corresponding with described keyword in described personality data archives, described personality data as filtercondition, are filtered described first object information group, obtain and show the second target information group.
6. the method for claim 1, is characterized in that, when described searching request is carried keyword, according to described searching request and described current personality data archives, searches for and show the target information group that search obtains, and comprising:
Obtain personality data corresponding with described keyword in described personality data archives;
According to described personality data, search first object information group;
According to described keyword, search in described first object information group and show the second target information group.
7. the method for claim 1, is characterized in that, when described searching request is carried keyword, according to described searching request and described current personality data archives, searches for and show the target information group that search obtains, and comprising:
Obtain personality data corresponding with described keyword in described personality data archives;
According to described keyword and described personality data, search for and show and search for the target information group that obtains.
8. a device of searching for target information, is characterized in that, comprising:
Receiver module is used for receiving the searching request that user terminal sends;
Determination module for the user profile of carrying according to described searching request, is determined current personality data archives corresponding to described user profile in the personality data file store; Wherein, the age data that described personality data archives comprise, and automatically upgrade according to the time;
Search module is used for according to described searching request and described current personality data archives, searches for and shows and search for the target information group that obtains.
9. device as claimed in claim 8, is characterized in that, also comprises:
Set up module, be used for setting up the personality data file store, preserve user's personality data archives; Described personality data archives are corresponding one by one with user's user profile.
10. device as claimed in claim 9, is characterized in that, also comprises:
Update module is used for automatically upgrading described age data according to predetermined point of time or according to current time and the last difference between update time automatically of personality data archives.
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| CN201110418734.8A CN103164447B (en) | 2011-12-14 | 2011-12-14 | A kind of method and device searching for target information |
| HK13109816.8A HK1182490A1 (en) | 2011-12-14 | 2013-08-22 | Method and device for searching target information |
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| CN201110418734.8A CN103164447B (en) | 2011-12-14 | 2011-12-14 | A kind of method and device searching for target information |
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| CN105550331A (en) * | 2015-12-21 | 2016-05-04 | 北京奇虎科技有限公司 | Guidance based search method and apparatus |
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Also Published As
| Publication number | Publication date |
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| HK1182490A1 (en) | 2013-11-29 |
| CN103164447B (en) | 2016-03-30 |
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