CN101866341A - Information push method, device and system - Google Patents
Information push method, device and system Download PDFInfo
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- CN101866341A CN101866341A CN200910082051A CN200910082051A CN101866341A CN 101866341 A CN101866341 A CN 101866341A CN 200910082051 A CN200910082051 A CN 200910082051A CN 200910082051 A CN200910082051 A CN 200910082051A CN 101866341 A CN101866341 A CN 101866341A
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Abstract
The embodiment of the invention relates to an information push method in the field of communication, which comprises the following steps of: acquiring web pages which a user are interested in; acquiring user interests according to the web pages which the user are interested in; and determining information to be pushed to the user according to the user interests. The embodiment of the invention also provides an information push device and an information push system. The embodiment of the invention can acquire the user interests according to the web pages that the user browses so as to push the information to the user according to the user interests, which effectively improves push accuracy and avoids the user receiving a large amount of uninterested junk information.
Description
Technical field
The present invention relates to communication technical field, relate in particular to a kind of information-pushing method, Apparatus and system.
Background technology
Push technology (PUSH) is a kind of based on client server mechanism, initiatively information is mail to the technology of client by server, and the information of its transmission normally user is predetermined in advance.(PULL) compares with traditional pull technology, and what both major different were the former is initiatively to send information by server, and the latter then is by client computer active request information.
The essence of push technology is initiatively to seek the user according to information, it is advantageous that the initiative and the promptness of information, by using this technology, can push information to as soon as possible in face of the user; Its weak tendency is that the accuracy of information is relatively poor, because simple screening machine has been produced generation artificial selection, will inevitably make between pushed information and user's demand to have certain difference.
Prior art related to the present invention relates to is the push technology among the WAP, and the push technology among the WAP is that the numerical information that will comprise literal, sound, image etc. is pushed to the user.
The technical scheme of prior art one is as follows:
The location push application server obtains the positional information of mobile phone users or customer group, pushes message and/or the content that is associated with described position and/or location information based on described positional information to described mobile phone users or customer group.
The inventor finds that there is following shortcoming at least in prior art one in realizing process of the present invention:
Prior art one offers message and/or the content that the user is associated with its residing position and/or location information, and this message and/or content only depend on the analysis to user's current location, thereby cause the user to come into or pass by some place all may receiving PUSH message, and these pushed information might be that the user is uninterested, therefore cause a large amount of junk information.
Summary of the invention
The embodiment of the invention provides a kind of information-pushing method, Apparatus and system, realizes pushing information to the user in conjunction with user interest, avoids the user to receive a large amount of uninterested junk information.
The embodiment of the invention is achieved through the following technical solutions:
The embodiment of the invention provides a kind of information-pushing method, comprising:
Obtain the user's interest webpage;
Obtain user interest based on described user's interest webpage;
Determine to be pushed to described user's information according to described user interest.
The embodiment of the invention provides a kind of information push-delivery apparatus, comprising:
First acquiring unit is used to obtain the user's interest webpage;
Second acquisition unit is used for obtaining user interest based on described user's interest webpage;
Push unit is used for determining to be pushed to according to described user interest described user's information.
The embodiment of the invention provides a kind of information transmission system, comprising: first database, second database and information push-delivery apparatus;
Described second database is used to store pre-pushed information;
Described information push-delivery apparatus is used for obtaining user interest according to the webpage that the user browses, and determines to be pushed to described user's pre-pushed information according to described user interest;
Described first database is used to store user interest.
The technical scheme that is provided by the invention described above embodiment as can be seen, the embodiment of the invention can obtain user interest according to the webpage that the user browses, thereby push information to the user according to this user interest, effectively improve the accuracy that pushes, avoided the user to receive a large amount of uninterested junk information.
Description of drawings
Fig. 1 is an embodiment of the invention information-pushing method process flow diagram;
Fig. 2 is the current interest synoptic diagram of embodiment of the invention user A;
Fig. 3 is an embodiment of the invention information push-delivery apparatus structural representation;
Fig. 4 is the first acquiring unit structural representation in the described information push-delivery apparatus of Fig. 3;
Fig. 5 is a second acquisition unit structural representation in the described information push-delivery apparatus of Fig. 3;
Fig. 6 is a push unit structural representation in the described information push-delivery apparatus of Fig. 3;
Fig. 7 is the first propelling movement sub-unit structure synoptic diagram in the push unit shown in Figure 6;
Fig. 8 is the second propelling movement sub-unit structure synoptic diagram in the push unit shown in Figure 6;
Fig. 9 is an embodiment of the invention information transmission system structural representation.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the invention, the technical scheme in the embodiment of the invention is clearly and completely described, be understandable that described embodiment only is the present invention's part embodiment, rather than whole embodiment.Based on the embodiment among the present invention, those of ordinary skills belong to the scope of protection of the invention not making the every other embodiment that is obtained under the creative work prerequisite.
The embodiment of the invention provides a kind of information-pushing method, comprises the steps:
Obtain the user's interest webpage;
Obtain user interest based on described user's interest webpage;
Determine to be pushed to described user's information according to described user interest.
The information-pushing method that the embodiment of the invention provides can push information to the user in conjunction with user interest, avoids the user to receive a large amount of junk information.
Further embodiment of this invention provides a kind of information-pushing method, to be example shown in Fig. 1, comprises the steps:
Step 10: obtain the user's interest webpage;
The described user's interest webpage that obtains comprises: each webpage of adding up user capture in the time window; Determine the affiliated classification of content of text of each webpage of user capture in the described time window; The frequency of statistic of user accessing webpage of all categories determines that the webpage that visiting frequency satisfies defined threshold is the user's interest webpage.Also comprise: the size of dynamically adjusting described time window according to user's browsing page speed.
Each webpage of user capture is to be beginning the current browsing time with the user in time window of described statistics, is benchmark with a time range that meets user's surfing custom, analyzes each webpage of user capture in this time range.The size of described time window should guarantee to reflect the concentrated interest of user's current time, and because different user has different surfings and custom, therefore, the initial value of time window can be set at a fixed value, can automatically adjust according to user's surfing and custom afterwards.The control method of a kind of time window size that the embodiment of the invention provides is as follows:
1) the historical visit of statistics user density
Wherein, T is the phase of history time, and M is the user in T browsing page quantity in the time period;
2) initial time window setting value is
Wherein, α is an empirical value, is used for regulating the time window size, and the α adjustable size, and statistics is browsed the quantity total amount after a stipulated time, according to formula
α is adjusted;
3) all after dates of certain hour calculate the visit density of user in a new time period once more,
4) the time window value after the adjusting is:
Be understandable that; the method of regulating time window is not limited thereto; those skilled in the art's other regulation schemes that current description can be expected easily according to the embodiment of the invention are all in protection domain of the present invention; for example; can be defined in when the number of statistic of user accessing webpage satisfies defined threshold in the current time window; then time window is turned down particular value or the like, or when being lower than a certain defined threshold, time window is transferred a big particular value.
According to the unified resource positioning address (URL, UniformResource Locator) of user capture webpage in the described time window, obtain the content of text of webpage, determine the classification that content of text is affiliated; To each classification webpage frequency statistics that conducts interviews, determine that the webpage that visiting frequency satisfies defined threshold is the user's interest webpage.
Wherein the process that obtains the content of text of webpage according to the URL address of user capture webpage in the described time window comprises: useless pages is got rid of in the URL address of described user capture webpage and the webpage that can't the visit URL address after obtaining screening, URL address after the described screening is linked, extract web page title and text message.Described useless pages comprises portal website's homepage of not comprising concrete content of text, navigation website homepage etc.As follows is that the distribution of Word message of one piece of webpage source file is general:
Wherein link 4, link 5 is a link information, also is text message.
Coupling＜title〉obtain heading message, from the text of above-mentioned webpage acquisition and useful link information, as text 1, link 4, text 2, link 5, text 3, just the content of text that obtains by the URL address comprises the title and the text message of the webpage of described URL address correspondence.
Classification under described definite content of text mainly is that to contrast predefined subject categories according to the title of the webpage that obtains and text message be classification under webpage is determined.
Can pre-defined a plurality of subject categories, for example comprise physical culture, food and drink, IT, real estate, automobile or tourism or the like.The class method for distinguishing can adopt the prior art scheme under the embodiment of the invention was determined webpage text content according to the title of the webpage that obtains and text message, for example existing traditional decision-tree, support vector machine (SVM, Support Vector Machine) or naive Bayesian or the like, this embodiment of the invention is not done qualification.
Described statistics frequency is that the number of times of the webpage of user capture identical category is added up, and obtains the user capture frequency of each classification webpage, determines that the webpage that visiting frequency satisfies defined threshold is the user's interest webpage.
Step 11: obtain user interest based on described user's interest webpage;
Obtaining user interest based on described user's interest webpage comprises: described user's interest webpage is carried out text analyzing, obtain the theme of webpage; Each theme that duplicates keyword is integrated into forms a topic group together,, and calculate the attention rate of described topic group the theme at the keyword place of weights maximum in each keyword that repeats of described topic group core theme as this topic group; Determine that the topic group that attention rate satisfies defined threshold is a user interest.
Described theme comprises: information such as incident, keyword and classification, the theme that therefore obtains webpage need at first obtain incident, keyword and classification.For described classification, in step 10, determine.Described incident comprises time, place, personage and incident title; The process of acquisition incident comprises the process of extraction time, place, personage and incident title, can adopt existing proven technique to its extracting method, do not enumerate one by one at this, the process of a kind of extraction time that the embodiment of the invention provides, place, personage and incident title is as follows:
Person extraction: adopt a kind of existing hidden Markov model (HMM, Hidden MarkovModel) statistical model extracts, described HMM realizes that thought is once to accept the speech object, utilize the model parameter that has trained, adopt and filter the internal state sequence that decoding algorithm obtains the optimum of segmentation sequence, by the optimum state sequence being carried out the incompatible identification named entity of state group, promptly extract the personage then.
Time extracts: the time extracts specific practice and comprises:
1) the statistics temporal characteristics speech of normal appearance as " year, month, day " etc., is stored in it among feature vocabulary timeWords;
2) utilize the rough segmentation result of participle software, it is traveled through,, then carry out the identification of time word if run into the temporal characteristics speech;
3) repeat the 2nd) step, up to traversal full number group,, then to return the time word array that identifies, otherwise return null value if identify time word, the time word identifying finishes.
Extract in the place: set up two feature vocabularys, forwardWords and signWords, wherein forwardWords is meant place forward direction speech, promptly generally appear at the speech of speech front, place, speech among the signWords is meant some sign speech, be used for improving the accuracy rate in the place of identifying, concrete place extraction step is as follows:
1) utilize participle software that sentence is carried out rough segmentation, word segmentation result leaves in the object array of a Word class;
2) traversal Word array if run into the place speech that participle is told, deposits in the array of place, if the speech that runs into belongs to the forwardWords vocabulary, then triggering rule is carried out place identification, and the place of identifying deposits in the array;
Repeat 2), up in short having traveled through,, then return this array if the place array is not empty; If the place array is empty, promptly do not identify the place speech, and do not have speech to be identified as the place speech in the word segmentation result, then return null value, the place identifying finishes.
The incident title is extracted: call incident title dictionary and carry out the extraction of incident title, be about to web page contents and incident dictionary coupling, extract the incident title that occurs in the webpage.
Time, place, personage and the incident title of described acquisition are merged the incident that obtains a webpage.
Described keyword is meant one or several speech that can summarize the article aim, and the keyword extraction process comprises:
To carrying out word segmentation processing in full, filter out stop words (speech that less semantic meaning is arranged, as function word and some high frequency words, stop words is owing to appearing in a lot of files, so information analysis there is not contribution); Extract text header and extract first section, second section in text, latter end content of text; Judge whether text header is " concrete type ", " if not concrete type ", promptly be " abstract type ", then analyze content of text and obtain keyword, for example adopt the TFIDF method to search weights in the text and be higher than the speech of certain threshold value as candidate word, whether this speech of position judgment by the candidate word place is key word then, and the weights of place sentence are high more, and the possibility that becomes key word is big more; If be " concrete type ", then analyze title and obtain keyword, for example with behind the title participle, noun that obtains and verb just are the keyword of the text, when calculating the sentence weight, give the bigger weight proportion factor of speech in the heading tabulation.
The incident of said extracted, keyword and webpage classification are merged theme as this webpage, with described theme vector form record, be called theme vector, generate the topic group according to theme vector, calculate the attention rate of user to each topic group, determine that the topic group that attention rate satisfies defined threshold is a user interest, concrete grammar comprises the steps:
1) keyword in all theme vectors under the identical category is joined among the lists of keywords K under this classification;
2) with the duplicate key speech normalizing that occurs in the adition process, promptly in K only record once, the duplicate key speech has triggered the gathering of the similar theme of candidate, that is, all theme vectors under the keyword of this repetition are integrated into form a topic group together;
3) for the topic group at each duplicate key speech place, relatively the original weights of this keyword in each theme vector of this topic group are found out the core theme of the theme vector at weights the maximum place as the theme vector of topic group;
4) attention rate of calculating user session topic group joins among candidate's focus topic list cad idateTopic together with the core theme;
The computing formula of the attention rate Hot (T) of described user session topic group T is as follows:
Wherein, the attention rate of Hot (T) expression user session topic group T;
Effective clicking rate of all webpages that expression topic group T comprises;
N represents the webpage number that topic group T comprises;
Max represents the maximum effectively clicking rate of webpage in the system;
Valid
iEffective clicking rate of i the webpage that expression topic group T comprises, its computing formula is as follows:
Valid
i＝e
(-distance/danpNumber)
DampNumber is a ratio of damping, can be according to the actual conditions adjustment, and for example value is 2;
Distance is spacing effective time;
distance＝(currentTime-occurTime)/(1000＊TimeNumberOfOneDay)；
CurrentTime is the current timing statistics of the system of Millisecond;
OccurTime is the webpage click time of Millisecond;
TimeNumberOfOneDay: one day second number equaled constant 86400 seconds;
5) according to above-mentioned steps 1)-4) calculate the attention rate of each topic group, determine that the topic group that attention rate satisfies defined threshold is a user interest.
Described user interest comprises: item of interest, category of interest, attention rate and generation time; In concrete enforcement, user interest can be expressed as tree-shaped version, the upper strata of tree structure represents that it is current interest subclass or theme that the type of user interest, lower floor are represented.User's interest pattern information, the information that also can preserve user interest feature speech both can have been preserved with tree structure.Such as, user A, his interest preference can be expressed as shown in Figure 2;
Step 12: the information of determining to be pushed to described user according to described user interest;
Determine that according to described user interest the information that is pushed to described user comprises:
Judge whether described user interest meets the localization information Push Service; Whether its determination methods can comprise that predetermined localization pushes content for the classification of judging user interest, for example whether comprise in the following content any or a plurality of: weather, inquiry traffic, predetermined ticketing service, discount, tourism classics and/or distinguishing products or the like.
If do not meet the localization information Push Service, then adopt relevance propelling movement mode to push information to described user; That is, described user interest is mated with corresponding pre-pushed information; Push with the user interest matching degree satisfies predetermined threshold and push information to the user in advance.Wherein the computing method of user interest and pre-pushed information matching degree can for: for the pre-pushed information that has classification information,, then adopt to have subtree matching algorithm calculating matching degree now if taxonomic hierarchies is consistent with the user interest classification; If taxonomic hierarchies and user interest classification are inconsistent, then revise pre-pushed information, adopt the subtree matching algorithm afterwards again.Revising pre-pushed information is prior art, promptly revise pre-pushed information subtree, specifically can comprise: the root node t-root of the pre-pushed information subtree of inquiry in the user interest tree, if find t-root, then two trees continue down node matching, do not match as running in the process, then pre-pushed information subtree is removed the node that do not match, continue down node matching,, form new pre-pushed information subtree until the leaf node of pre-pushed information subtree; If just do not find corresponding node from t-root, then matching degree is 0; For the pre-pushed information that does not have classification information, then the same sorting technique of employing and user interest classification is classified to pre-pushed information, forms pre-pushed information subtree, adopts the subtree matching algorithm again, if can't classify, then matching degree is 0.
If meet the localization information Push Service, then adopt location association propelling movement mode to push information to described user; Concrete steps can comprise: obtain the user and browse positional information; Extract and the described related pre-pushed information of positional information of browsing from pre-pushed information, the embodiment of the invention is called location association information with the described and described related pre-pushed information of positional information of browsing; Described user interest and described location association information are mated; Push with described user interest matching degree and satisfy the location association information of predetermined threshold to user's (the matching degree computing method are with described in the above-mentioned relevance propelling movement mode).If do not exist matching degree to satisfy the location association information of predetermined threshold, then from pre-pushed information, extract the pre-pushed information (the matching degree computing method are with described in the above-mentioned relevance propelling movement mode) that satisfies defined threshold with the matching degree of described user interest, and the matching degree of described and described user interest satisfies the pre-pushed information corresponding position information of defined threshold; Calculating is browsed the recommended route of position to the position of described positional information correspondence from the user; Push the corresponding pre-pushed information of described and described positional information, described positional information and described recommended route.The calculating of described recommended route can for: in the road network spatial model of having set up (setting up the road network spatial model is prior art), can adopt existing routing algorithm calculated recommendation route according to user's demand (short line, high speed priority scheduling), shortest path first for example, dijkstra's algorithm or A
*Algorithms etc. are not done concrete qualification to this present invention.
The embodiment of the invention can obtain user interest according to the webpage that the user browses, thereby push information to the user according to this user interest, and user interest can be browsed the position with the user and combine, effectively improved the accuracy that pushes, avoid the user to receive a large amount of uninterested junk information.
The embodiment of the invention also provides a kind of information push-delivery apparatus, to be example shown in Fig. 3, comprising:
First acquiring unit 30 is used to obtain the user's interest webpage;
Second acquisition unit 31 is used for obtaining user interest based on described user's interest webpage;
As shown in Figure 4, described first acquiring unit 30 further comprises:
Time window is determined and is regulated subelement 301, is used to determine to obtain the time window of user's browsing page, and the described time window of dynamic adjustments;
First obtains subelement 302, is used to obtain the interior user accessing web page of time window that described time window determines and regulate that subelement is determined;
Web page classifying subelement 303 is used for determining the classification under the content of text of each webpage of user capture;
First adds up subelement 304, is used for the frequency of statistic of user accessing webpage of all categories;
First determines subelement 305, is used for determining that the webpage that visiting frequency satisfies defined threshold is the user's interest webpage.
As shown in Figure 5, described second acquisition unit 31 further comprises:
Analyze subelement 311, be used for described user's interest webpage is carried out text analyzing, obtain the theme of webpage;
The second statistics subelement 312, each theme that is used for duplicating keyword is integrated into forms a topic group together, with the theme at the keyword place of weights maximum in each keyword that repeats in the described topic group core theme, and calculate the attention rate that obtains the topic group as this topic group;
Second determines subelement 313, is used for determining that the topic group that attention rate satisfies defined threshold is a user interest.
As shown in Figure 6, described push unit 32 further comprises:
First judgment sub-unit 321 is used to judge whether described user interest meets the localization information Push Service;
First pushes subelement 322, is used for judging that in described first judgment sub-unit 321 described user interest does not meet the localization information Push Service, adopts relevance propelling movement mode to push information to described user; Or second push subelement 323, is used for judging that in described first judgment sub-unit described user interest meets the localization information Push Service, adopts location association propelling movement mode to push information to described user.
As shown in Figure 7, the described first propelling movement subelement 322 further comprises:
First matched sub-block 3221 is used for described user interest is mated with corresponding pre-pushed information;
First pushes submodule 3222, is used to push with the user interest matching degree satisfies predetermined threshold push information to the user in advance.
As shown in Figure 8, the described second propelling movement subelement 323 further comprises:
Location association information is obtained submodule 3232, is used for extracting and the described related location association information of positional information of browsing from pre-pushed information;
Second matched sub-block 3233 is used for described user interest and described location association information are mated;
Second pushes submodule 3234, is used to push with described user interest matching degree satisfy the location association information of predetermined threshold to the user.
Described second pushes subelement 323 also comprises:
The 3rd matched sub-block 3235 is used for extracting the pre-pushed information corresponding position information that satisfies defined threshold with the matching degree of described user interest from pre-pushed information;
Calculating sub module 3236 is used to calculate from the user and browses the recommended route of position to the position of described positional information correspondence;
The 3rd pushes submodule 3237, is used to push described positional information, pre-pushed information and the described recommended route corresponding with described positional information.
The described information push-delivery apparatus of the embodiment of the invention can obtain user interest according to the webpage that the user browses, thereby push information to the user according to this user interest, and user interest can be browsed the position with the user and combine, effectively improve the accuracy that pushes, avoided the user to receive a large amount of uninterested junk information.
Further embodiment of this invention provides a kind of information transmission system, and as shown in Figure 9, this system comprises: first database 90, second database 91 and aforesaid information push-delivery apparatus 92;
Described second database 91 is used to store pre-pushed information;
Described information push-delivery apparatus 92 is used for obtaining user interest according to the current webpage of browsing of user, determines to be pushed to described user's pre-pushed information according to described user interest;
Described first database 90 is used to store user interest.
Described system can also comprise:
The embodiment of the invention can obtain user interest according to the webpage that the user browses, thereby push information to the user according to this user interest, and user interest can be browsed the position with the user and combine, effectively improved the accuracy that pushes, avoid the user to receive a large amount of uninterested junk information.
In sum, the embodiment of the invention can obtain user interest according to the webpage that the user browses, thereby push information to the user according to this user's current information, and user interest can be browsed the position with the user and combine, effectively improve the accuracy that pushes, avoided the user to receive a large amount of uninterested junk information.
One of ordinary skill in the art will appreciate that realize that all or part of step in the foregoing description method is to instruct relevant hardware to finish by program, described program can be stored in the computer-readable recording medium.This readable storage medium storing program for executing is ROM (read-only memory) (being called for short ROM), random access memory (being called for short RAM), disk, CD etc. for example.
The above; only for the preferable embodiment of the present invention, but protection scope of the present invention is not limited thereto, and anyly is familiar with those skilled in the art in the technical scope that the present invention discloses; the variation that can expect easily or replacement all should be encompassed within protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with the protection domain of claim.
Claims (19)
1. an information-pushing method is characterized in that, comprising:
Obtain the user's interest webpage;
Obtain user interest based on described user's interest webpage;
Determine to be pushed to described user's information according to described user interest.
2. the method for claim 1 is characterized in that, the described user's interest webpage that obtains comprises:
Add up each webpage of described user capture in the time window;
Determine the affiliated classification of content of text of each webpage of user capture in the described time window;
The frequency of statistic of user accessing webpage of all categories determines that the webpage that visiting frequency satisfies defined threshold is the user's interest webpage.
3. method as claimed in claim 2 is characterized in that, also comprises:
Dynamically adjust the size of described time window according to user's browsing page speed.
4. as claim 1,2 or 3 described methods, it is characterized in that, describedly obtain user interest based on described user's interest webpage and comprise:
Described user's interest webpage is carried out text analyzing, obtain the theme of webpage;
Each theme that duplicates keyword is integrated into forms a topic group together,, and calculate the attention rate of topic group the theme at the keyword place of weights maximum in each keyword that repeats in the described topic group core theme as this topic group;
Determine that the topic group that attention rate satisfies defined threshold is a user interest.
5. method as claimed in claim 4 is characterized in that, the attention rate of described calculating topic group comprises:
The computing formula of the attention rate Hot of described topic group (T) is as follows:
Wherein, the attention rate of Hot (T) expression user session topic group T;
N represents the webpage number that topic group T comprises;
Max represents the maximum effectively clicking rate of webpage in the system;
Valid
iEffective clicking rate of i the webpage that expression topic group T comprises, its computing formula is as follows:
Valid
i＝e
(-distance/dampNumber)
DampNumber is a ratio of damping;
Distance is spacing effective time;
CurrentTime is the current timing statistics of the system of Millisecond;
OccurTime is the webpage click time of Millisecond;
TimeNumberOfOneDay is one day a second number.
6. as claim 1,2 or 3 described methods, it is characterized in that, determine that according to described user interest the information that is pushed to described user comprises:
Judge whether described user interest meets the localization information Push Service;
If do not meet the localization information Push Service, then adopt relevance propelling movement mode to push information to described user;
If meet the localization information Push Service, then adopt location association propelling movement mode to push information to described user.
7. method as claimed in claim 6 is characterized in that, describedly judges whether described user interest meets the localization information Push Service and comprise:
Whether the classification of judging user interest comprises that predetermined localization pushes content.
8. method as claimed in claim 6 is characterized in that, described employing relevance propelling movement mode pushes information to described user and comprises:
Described user interest is mated with corresponding pre-pushed information;
Push with the user interest matching degree satisfies predetermined threshold and push information to the user in advance.
9. method as claimed in claim 6 is characterized in that, described employing location association propelling movement mode pushes information to described user and comprises:
Obtain the user and browse positional information;
From pre-pushed information, extract and browse the related location association information of positional information with described user;
Described user interest and described location association information are mated;
Push with described user interest matching degree and satisfy the location association information of predetermined threshold to the user.
10. method as claimed in claim 9 is characterized in that, also comprises:
If do not exist matching degree to satisfy the location association information of predetermined threshold, from pre-pushed information, extract the pre-pushed information that satisfies defined threshold with the matching degree of described user interest, and the matching degree of described and described user interest satisfies the pre-pushed information corresponding position information of defined threshold; Calculating is browsed the recommended route of position to the position of described positional information correspondence from the user; Push pre-pushed information, described positional information and the described recommended route corresponding with described positional information.
11. an information push-delivery apparatus is characterized in that, comprising:
First acquiring unit is used to obtain the user's interest webpage;
Second acquisition unit is used for obtaining user interest based on described user's interest webpage;
Push unit is used for determining to be pushed to according to described user interest described user's information.
12. device as claimed in claim 11 is characterized in that, described first acquiring unit further comprises:
Time window is determined and is regulated subelement, is used to determine to obtain the time window of user's browsing page, and the described time window of dynamic adjustments;
First obtains subelement, is used to obtain each webpage of described user capture in the described time window;
The Web page classifying subelement is used for determining the classification under the content of text of each webpage of user capture;
First adds up subelement, is used for the frequency of statistic of user accessing webpage of all categories;
First determines subelement, is used for determining that the webpage that visiting frequency satisfies defined threshold is the user's interest webpage.
13. device as claimed in claim 11 is characterized in that, described second acquisition unit further comprises:
Analyze subelement, be used for described user's interest webpage is carried out text analyzing, obtain the theme of webpage;
The second statistics subelement, each theme that is used for duplicating keyword is integrated into forms a topic group together, with the theme at the keyword place of weights maximum in the keyword of each repetition core theme, and calculate the attention rate that obtains the topic group as this topic group;
Second determines subelement, is used for determining that the topic group that attention rate satisfies defined threshold is a user interest.
14., it is characterized in that described push unit further comprises as claim 11 or 12 described devices:
First judgment sub-unit is used to judge whether described user interest meets the localization information Push Service;
First pushes subelement, is used for judging that in described first judgment sub-unit described user interest does not meet the localization information Push Service, adopts relevance propelling movement mode to push information to described user; Or second push subelement, is used for judging that in described first judgment sub-unit described user interest meets the localization information Push Service, adopts location association propelling movement mode to push information to described user.
15. device as claimed in claim 14 is characterized in that, described first pushes subelement further comprises:
First matched sub-block is used for described user interest is mated with corresponding pre-pushed information;
First pushes submodule, is used to push with the user interest matching degree satisfies predetermined threshold push information to the user in advance.
16. device as claimed in claim 14 is characterized in that, described second pushes subelement further comprises:
The position analysis submodule is used to obtain the user and browses positional information;
Location association information is obtained submodule, is used for extracting and the described related location association information of positional information of browsing from pre-pushed information;
Second matched sub-block is used for described user interest and described location association information are mated;
Second pushes submodule, is used to push with described user interest matching degree satisfy the location association information of predetermined threshold to the user.
17. device as claimed in claim 16 is characterized in that, described second pushes subelement also comprises:
The 3rd coupling subelement is used for extracting the pre-pushed information corresponding position information that satisfies defined threshold with the matching degree of described user interest from pre-pushed information;
Computation subunit is used to calculate from the user and browses the recommended route of position to the position of described positional information correspondence;
The 3rd pushes subelement, is used to push described positional information, pre-pushed information and the described recommended route corresponding with described positional information.
18. an information transmission system is characterized in that, comprising: first database, second database reach as each described information push-delivery apparatus of claim 11 to 17;
Described second database is used to store pre-pushed information;
Described information push-delivery apparatus is used for obtaining user interest according to the webpage that the user browses, and determines to be pushed to described user's pre-pushed information according to described user interest;
Described first database is used to store user interest.
19. system as claimed in claim 18 is characterized in that, also comprises:
Gateway device is used to provide webpage that the user browses to described information push-delivery apparatus.
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| CN200910082051A CN101866341A (en) | 2009-04-17 | 2009-04-17 | Information push method, device and system |
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| CN200910082051A CN101866341A (en) | 2009-04-17 | 2009-04-17 | Information push method, device and system |
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| CN101866341A true CN101866341A (en) | 2010-10-20 |
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| CN200910082051A Pending CN101866341A (en) | 2009-04-17 | 2009-04-17 | Information push method, device and system |
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| CN112050822B (en) * | 2019-06-06 | 2022-08-12 | 阿波罗智联(北京)科技有限公司 | Method, system and device for generating driving route |
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