CN103136253A - Method and device of acquiring information - Google Patents
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- CN103136253A CN103136253A CN2011103895804A CN201110389580A CN103136253A CN 103136253 A CN103136253 A CN 103136253A CN 2011103895804 A CN2011103895804 A CN 2011103895804A CN 201110389580 A CN201110389580 A CN 201110389580A CN 103136253 A CN103136253 A CN 103136253A
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Abstract
The invention discloses a method and a device of acquiring information and belongs to the field of internet. The method of acquiring the information comprises the following steps: acquiring historical data sources of users from at least two platforms, acquiring categorical data of the users according to the historical data sources of the users, collecting clicking actions of the users, acquiring action data of the users according to the clicking actions of the users, and acquiring first information which is recommended to the users according to the categorical data and the action data of the users. Due to the fact that the historical data sources is acquired from the at least two platforms, the categorical data of the users are obtained. The clicking actions of the users is combined, the action data of the users are obtained, and therefore the first information which is recommended to the users is obtained. Requirements of recommended contents integrated by a plurality of data sources are met. According to user preferences, the fact that a wider range of data sources are provided for the users is achieved. User experience is improved. The problem that due to the fact that recommended data sources are limited in the prior art, search results are not accurate is solved.
Description
Technical field
The present invention relates to internet arena, particularly a kind of method and apparatus of obtaining information.
Background technology
The internet user is on the increase the demand of information at present, and simple dependence Internet user initiatively finds own interested information can not satisfy user's demand on the net, and the user wishes that the website can initiatively provide some own interested information.
Demand for the user, some website has proposed a kind of search content recommend method now, the server of this website is all that the information that search engine data and registered user configure on this website is carried out data mining, simultaneously in conjunction with some constraints, as time, timeliness n, access frequency etc., for the user recommends related content.For example, the webpage of liking according to the user, for user's click, check, the behavioral data such as feedback carries out data mining, finding out the user in numerous webpages may interested content.
But, this recommending data source is limited, can only obtain the content that the user may like according to some information of the user who obtains on this website, analysis method comparison is unilateral, and the content that the obtains interested information of user not necessarily, Search Results is inaccurate, thereby causes user's experience sense poor.
Summary of the invention
Limited in order to solve on website using the recommending data source, make the inaccurate problem of Search Results, the embodiment of the present invention provides a kind of method and apparatus of obtaining information.Described technical scheme is as follows:
On the one hand, provide a kind of method of obtaining information, described method comprises:
Obtain user's historical data source from least two platforms, and obtain described user's grouped data according to described user's historical data source;
Gather described user's click behavior, and obtain described user's behavioral data according to described user's click behavior;
According to described user's grouped data and described user's behavioral data, obtain the first information of recommending described user.
The described historical data source that obtains the user from least two platforms, and obtain described user's grouped data according to described user's historical data source, comprising:
Obtain user's historical data source from least two platforms;
Content format to the historical data source that obtains from each platform is analyzed, and obtains the grouped data on described each platform;
According to the weight of the grouped data on described each platform, analyze the coverage of the grouped data on described each platform, and according to the coverage of described coverage, obtain described user's grouped data.
The described user's of described collection click behavior, and obtain described user's behavioral data according to described user's click behavior, comprising:
Gather described user's click behavior, obtain the content that described click is checked;
The click on content that described user checks is in the given time carried out confluence analysis, obtain described user's behavioral data.
Describedly obtain according to described user's grouped data and described user's behavioral data the first information of recommending described user, comprising:
Described user's grouped data and described user's behavioral data are integrated, obtained recommending described user's the first information.
Describedly obtain according to described user's grouped data and described user's behavioral data the first information of recommending described user, also comprise afterwards:
According to about the described first information of recommending described user, and obtain to recommend the second information of described user in conjunction with search engine.
On the other hand, provide a kind of device of obtaining information, described device comprises:
The first acquisition module is used for from the historical data source that at least two platforms obtain the user, and obtains described user's grouped data according to described user's historical data source;
The second acquisition module is used for gathering described user's click behavior, and obtains described user's behavioral data according to described user's click behavior;
The 3rd acquisition module is used for according to described user's grouped data and described user's behavioral data, obtains the first information of recommending described user.
Described the first acquisition module specifically is used for:
Acquiring unit is used for from the historical data source that at least two platforms obtain the user;
The first analytic unit is used for the content format in the historical data source that obtains from each platform is analyzed, and obtains the grouped data on described each platform;
The second analytic unit is used for the weight according to the grouped data on described each platform, analyzes the coverage of the grouped data on described each platform, and according to the coverage of described coverage, obtains described user's grouped data.
Described the second acquisition module comprises:
Collecting unit is used for gathering described user's click behavior, obtains the content that described click is checked;
The 3rd analytic unit is used for the click on content that described user checks is in the given time carried out confluence analysis, obtains described user's behavioral data.
Described the 3rd acquisition module specifically is used for:
Described user's grouped data and described user's behavioral data are integrated, obtained recommending described user's the first information.
Described device also comprises:
Module is provided, is used for according to the described first information of recommending described user, and obtain to recommend the second information of described user in conjunction with search engine.
the beneficial effect that the technical scheme that the embodiment of the present invention provides is brought is: by obtain the historical data source from least two platforms, thereby obtain user's grouped data, again in conjunction with user's click behavior, the user's who obtains behavioral data, thereby obtain to recommend described user's the first information, satisfied the demand of the content recommendation of multi-data source integration, thereby realize providing Data Source widely according to user's hobby for the user, improved user's experience sense, solved in prior art the recommending data source limited, make Search Results inaccurate, cause the poor problem of user's experience sense.
Description of drawings
In order to be illustrated more clearly in the technical scheme in the embodiment of the present invention, during the below will describe embodiment, the accompanying drawing of required use is done to introduce simply, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skills, under the prerequisite of not paying creative work, can also obtain according to these accompanying drawings other accompanying drawing.
Fig. 1 is the method flow of a kind of obtaining information of providing in the embodiment of the present invention 1;
Fig. 2 is the method flow of a kind of obtaining information of providing in the embodiment of the present invention 2;
Fig. 3 is the grouped data schematic diagram that provides in the embodiment of the present invention 2;
Fig. 4 is the schematic diagram of the device of a kind of obtaining information of providing of the embodiment of the present invention 3.
Embodiment
For making the purpose, technical solutions and advantages of the present invention clearer, embodiment of the present invention is described further in detail below in conjunction with accompanying drawing.
Embodiment 1
Referring to Fig. 1, the present embodiment provides a kind of method of obtaining information, comprising:
101: obtain user's historical data source from least two platforms, and obtain described user's grouped data according to described user's historical data source;
102: gather described user's click behavior, and obtain described user's behavioral data according to described user's click behavior;
103: according to described user's grouped data and described user's behavioral data, obtain the first information of recommending described user.
Wherein, the described historical data source that obtains the user from least two platforms, and obtain described user's grouped data according to described user's historical data source, comprising:
Obtain user's historical data source from least two platforms;
Content format to the historical data source that obtains from each platform is analyzed, and obtains the grouped data on described each platform;
According to the weight of the grouped data on described each platform, analyze the coverage of the grouped data on described each platform, and according to the coverage of described coverage, obtain described user's grouped data.
In the present embodiment, the described user's of described collection click behavior, and obtain described user's behavioral data according to described user's click behavior, comprising:
Gather described user's click behavior, obtain the content that described click is checked;
The click on content that described user checks is in the given time carried out confluence analysis, obtain described user's behavioral data.
In the present embodiment, describedly obtain according to described user's grouped data and described user's behavioral data the first information of recommending described user, comprising:
Described user's grouped data and described user's behavioral data are integrated, obtained recommending described user's the first information.
Alternatively, described according to described user's grouped data and described user's behavioral data in the present embodiment, described user's the first information is recommended in acquisition, also comprises afterwards:
According to the first information of recommending described user, and obtain to recommend the second information of described user in conjunction with search engine.
the beneficial effect of embodiment of the method provided by the invention is: by obtain the historical data source from least two platforms, thereby obtain user's grouped data, again in conjunction with user's click behavior, the user's who obtains behavioral data, thereby obtain to recommend described user's the first information, satisfied the demand of the content recommendation of multi-data source integration, thereby realize providing Data Source widely according to user's hobby for the user, improved user's experience sense, solved in prior art the recommending data source limited, make Search Results inaccurate, cause the poor problem of user's experience sense.
Embodiment 2
Referring to Fig. 2, the embodiment of the present invention provides a kind of method of obtaining information, comprising:
201: collect users' historical data source from a plurality of platforms, and obtain this user's grouped data according to user's historical data source.
In the present embodiment, platform refers to different network applications, as soso people center, ask, and microblogging, QZone etc., wherein a plurality of platforms comprise two network application platforms at least.In the present embodiment, default website and multi-platform carrying out can obtain the user data of a plurality of platforms alternately, carry out the Data Integration analysis to multi-platform, by the data mining for the various platforms of user, the confluence analysis user preference gives the user more accurate more omnibearing content recommendation.Wherein, default website refers to the website that a certain user had registered, and has user's historical data on this website.
In the present embodiment, obtain this user's grouped data according to user's historical data source, comprising: the historical data source that obtains the user from least two platforms; Content format to the historical data source that obtains from each platform is analyzed, and obtains the grouped data on described each platform; According to the weight of the grouped data on described each platform, analyze the coverage of the grouped data on described each platform, and according to the coverage of described coverage, obtain described user's grouped data.
In the present embodiment, in the historical data source of each platform, the data that produce in each platform according to the user as microblogging, search for the data that the platforms such as individual center, QZone produce, are adjusted the user at the data weighting of each platform, excavate and draw grouped data.The weight here is according to the getting of empirical data, and this present embodiment is not specifically limited.
In the present embodiment, each data source is carried out the processing of above-mentioned flow process.Grouped data after excavating according to certain weight integration.Concrete, according to the weight of each platform, analyze the coverage of each grouped data, according to coverage, thereby summarize last grouped data.As shown in Figure 3, obtain three grouped datas from different platforms, grouped data 1, grouped data 2 and grouped data 3, grouped data 1-A is the final grouped data of classification 1, grouped data 2-B-C is the final grouped data of grouped data 2, and grouped data 3-B is the final grouped data of grouped data 3.
202: gather user's click behavior, and obtain this user's behavioral data according to user's click behavior.
In the present embodiment, when the user logins this default website, gather user's click behavior, and comprise according to the behavioral data that this user is obtained in user's click behavior: gather described user's click behavior, obtain the content that described click is checked; The click on content that described user checks is in the given time carried out confluence analysis, obtain described user's behavioral data.
In the present embodiment, gather user's click behavior, from user level, all will gather so long as the user clicks the content of checking, and analyze the collection content, confluence analysis is carried out in the behavior of user preset in the time period, thereby draw the content that the user pays close attention to most.Wherein, the Preset Time section can limit according to user's access frequency, as one hour, and five hours, or one day, two days etc., this present embodiment is not specifically limited.
in the present embodiment, gather user's click behavior, obtain user's click viewing content, the user is clicked the content of checking to be analyzed, obtain the key word of this content, click the content of checking as the user and be " transformer 3 ", the key word that analyzes this click viewing content is: science fiction, action, American film, the user clicks the content of checking and is " A Fanda ", the key word that analyzes this click viewing content is: action, science fiction, risk, magical, American film, the user clicks the content of checking and is " 2012 ", the key word that analyzes this click viewing content is: action, risk, science fiction, disaster, American film, and within a certain period of time the above-mentioned key word that analyzes is integrated, the behavioral data that draws the user is: action, science fiction, American film.
203: according to user's behavioral data and grouped data, obtain the first information of recommending described user.
In the present embodiment, grouped data and user behavior data are all with user-dependent data, in order to obtain more fully with user-dependent data, they need to be integrated again, obtain the first information of recommending described user, wherein the first information is exactly the keyword of the interested information of user, i.e. the keyword of user preference classification.Integrate from multi-platform in the present embodiment, the liking of degree of depth digging user is so the first information that obtains in the present embodiment is very large for the ratio of the interested content of user.
Integration in the present embodiment is got union to behavioral data and grouped data exactly, as the behavioral data in step 202 be: action, science fiction, American film, if the grouped data that obtains is: action, Chinese film, grouped data and behavioral data are combined the first information that just can obtain recommending the user: action, science fiction, American film, Chinese film, when the user logins the page that default website provides, as much as possible action, science fiction, American film, Chinese film are placed on the front and select for the user, so also saved the user and much searched the time.
204: according to the first information of recommending the user, and obtain to recommend the second information of user in conjunction with search engine.
Search engine is to provide the platform to the user search relevant information, a large amount of contents of following user's inputted search word to be correlated with is here arranged, in the present embodiment, after obtaining to recommend user's the first information, the first information can be put in search engine and search for, search engine can according to the keyword of user preference classification, draw more, wider similar data, thereby obtain recommending the second information of user.
In the present embodiment, can also obtain user's search history in search engine, thereby summarize the interested content of user in the certain hour section, and with the data source of the interested content of user in the certain hour section of summarizing as default website, thereby be that data of the interested content increase of digging user are originated.
Wherein, this step is alternatively, also can not carry out this step in the specific implementation process, get the first information of recommending the user in step 203 after, when the user logins default website, directly according to the first information to user's content recommendation.
In this example, content recommendation represents to the user with the pattern of title and summary, the user clicks title or checks in full, launch content at current page, further, the user can relay microblogging with content, reprint Qzone, be shared with the good friend, background system carries out analysis-by-synthesis to the user behavior that collects, and then recommends related content to the user again, when the user clicks and forwards, all behaviors of system acquisition user comprise and clicking and the forwarding behavior, provide data source for clicking in real time analysis module.
the beneficial effect of embodiment of the method provided by the invention is: by obtain the historical data source from least two platforms, thereby obtain user's grouped data, again in conjunction with user's click behavior, the user's who obtains behavioral data, thereby obtain to recommend described user's the first information, satisfied the demand of the content recommendation of multi-data source integration, thereby realize providing Data Source widely according to user's hobby for the user, improved user's experience sense, solved in prior art the recommending data source limited, make Search Results inaccurate, cause the poor problem of user's experience sense.And the first information is searched in conjunction with search engine second information that obtains again, thereby can provide abundanter Data Source for the user, further improve user's experience sense.
Embodiment 3
Referring to Fig. 4, the present embodiment provides a kind of device of obtaining information, comprising: the first acquisition module 301, the second acquisition module 302 and the 3rd acquisition module 303.
The first acquisition module 301 is used for from the historical data source that at least two platforms obtain the user, and obtains described user's grouped data according to described user's historical data source;
The second acquisition module 302 is used for gathering described user's click behavior, and obtains described user's behavioral data according to described user's click behavior;
The 3rd acquisition module 303 is used for according to described user's grouped data and described user's behavioral data, obtains the first information of recommending described user.
Wherein, the first acquisition module 301 specifically is used for:
Acquiring unit is used for from the historical data source that at least two platforms obtain the user;
The first analytic unit is used for the content format in the historical data source that obtains from each platform is analyzed, and obtains the grouped data on described each platform;
The second analytic unit is used for the weight according to the grouped data on described each platform, analyzes the coverage of the grouped data on described each platform, and according to the coverage of described coverage, obtains described user's grouped data.
In the present embodiment, the second acquisition module 302 comprises:
Collecting unit is used for gathering described user's click behavior, obtains the content that described click is checked;
The 3rd analytic unit is used for the click on content that described user checks is in the given time carried out confluence analysis, obtains described user's behavioral data.
In the present embodiment, the 3rd acquisition module 303 specifically is used for:
Described user's grouped data and described user's behavioral data are integrated, obtained recommending described user's the first information.
Alternatively, the device that provides in the present embodiment also comprises:
Module is provided, is used for according to the described first information of recommending described user, and obtain to recommend the second information of described user in conjunction with search engine.
the beneficial effect of device embodiment provided by the invention is: by obtain the historical data source from least two platforms, thereby obtain user's grouped data, again in conjunction with user's click behavior, the user's who obtains behavioral data, thereby obtain to recommend described user's the first information, satisfied the demand of the content recommendation of multi-data source integration, thereby realize providing Data Source widely according to user's hobby for the user, improved user's experience sense, solved in prior art the recommending data source limited, make Search Results inaccurate, cause the poor problem of user's experience sense.
The device that the present embodiment provides specifically can belong to same design with embodiment of the method, and its specific implementation process sees embodiment of the method for details, repeats no more here.
One of ordinary skill in the art will appreciate that all or part of step that realizes above-described embodiment can complete by hardware, also can come the relevant hardware of instruction to complete by program, described program can be stored in a kind of computer-readable recording medium, the above-mentioned storage medium of mentioning can be ROM (read-only memory), disk or CD etc.
The above is only preferred embodiment of the present invention, and is in order to limit the present invention, within the spirit and principles in the present invention not all, any modification of doing, is equal to replacement, improvement etc., within all should being included in protection scope of the present invention.
Claims (10)
1. the method for an obtaining information, is characterized in that, described method comprises:
Obtain user's historical data source from least two platforms, and obtain described user's grouped data according to described user's historical data source;
Gather described user's click behavior, and obtain described user's behavioral data according to described user's click behavior;
According to described user's grouped data and described user's behavioral data, obtain the first information of recommending described user.
2. method according to claim 1, is characterized in that, the described historical data source that obtains the user from least two platforms, and obtain described user's grouped data according to described user's historical data source, comprising:
Obtain user's historical data source from least two platforms;
Content format to the historical data source that obtains from each platform is analyzed, and obtains the grouped data on described each platform;
According to the weight of the grouped data on described each platform, analyze the coverage of the grouped data on described each platform, and according to the coverage of described coverage, obtain described user's grouped data.
3. method according to claim 1, is characterized in that, the described user's of described collection click behavior, and obtain described user's behavioral data according to described user's click behavior, comprising:
Gather described user's click behavior, obtain the content that described click is checked;
The click on content that described user checks is in the given time carried out confluence analysis, obtain described user's behavioral data.
4. method according to claim 1, is characterized in that, describedly obtains according to described user's grouped data and described user's behavioral data the first information of recommending described user, comprising:
Described user's grouped data and described user's behavioral data are integrated, obtained recommending described user's the first information.
5. method according to claim 1, is characterized in that, describedly obtains according to described user's grouped data and described user's behavioral data the first information of recommending described user, also comprises afterwards:
According to the described first information of recommending described user, and obtain to recommend the second information of described user in conjunction with search engine.
6. the device of an obtaining information, is characterized in that, described device comprises:
The first acquisition module is used for from the historical data source that at least two platforms obtain the user, and obtains described user's grouped data according to described user's historical data source;
The second acquisition module is used for gathering described user's click behavior, and obtains described user's behavioral data according to described user's click behavior;
The 3rd acquisition module is used for according to described user's grouped data and described user's behavioral data, obtains the first information of recommending described user.
7. device according to claim 6, is characterized in that, described the first acquisition module comprises:
Acquiring unit is used for from the historical data source that at least two platforms obtain the user;
The first analytic unit is used for the content format in the historical data source that obtains from each platform is analyzed, and obtains the grouped data on described each platform;
The second analytic unit is used for the weight according to the grouped data on described each platform, analyzes the coverage of the grouped data on described each platform, and according to the coverage of described coverage, obtains described user's grouped data.
8. device according to claim 6, is characterized in that, described the second acquisition module comprises:
Collecting unit is used for gathering described user's click behavior, obtains the content that described click is checked;
The 3rd analytic unit is used for the click on content that described user checks is in the given time carried out confluence analysis, obtains described user's behavioral data.
9. device according to claim 6, is characterized in that, described the 3rd acquisition module specifically is used for:
Described user's grouped data and described user's behavioral data are integrated, obtained recommending described user's the first information.
10. device according to claim 6, is characterized in that, described device also comprises:
Module is provided, is used for according to the described first information of recommending described user, and obtain to recommend the second information of described user in conjunction with search engine.
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