CN105574140A - Method and system for recommending contents to user - Google Patents
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- CN105574140A CN105574140A CN201510937797.2A CN201510937797A CN105574140A CN 105574140 A CN105574140 A CN 105574140A CN 201510937797 A CN201510937797 A CN 201510937797A CN 105574140 A CN105574140 A CN 105574140A
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Abstract
The invention discloses a method and a system for recommending contents to a user. Recommendation information needing to be avoided and a target page needing to be avoided are removed from the recommendation information finally recommended to the user and the target page corresponding to the recommendation information, so that the recommendation information and the target page, which may have a competition relation with a currently searched keyword of the user can be effectively avoided; in addition, in the embodiment, the contents are recommended to the user in such a manner that the user actively clicks the recommendation information in a status bar instead of forcefully popping up a window on the page, so the interference to the user is relatively small; in addition, in the method disclosed by the invention, the recommendation information is related to the user, so the user is easier to pay attention to the recommendation information; and moreover, the recommendation information and the target page corresponding to the recommendation information are related to the currently searched keyword of the user, so the contents recommended to the user better conform to the actual demand of the user, namely the recommendation efficiency can be higher.
Description
Technical field
The present invention relates to Internet technical field, in particular, relate to a kind of method and system to user's content recommendation.
Background technology
Web browser can HTML (Hypertext Markup Language) (HTML) file of display web page server or file system, and allows a kind of software of user and these file interactions.
It is used for being presented at word, image and other information in WWW or LAN (Local Area Network) etc.These words or image, can be the hyperlink connecting other network address, user can browse various information rapidly and easily.Major part webpage is html format.
In existing web browser, the general mode of initiatively pop-up window that adopts is to user's content recommendation, such as, when detecting that user signs in certain application website, can recommend to user's active pop-up advertisement window etc. while loading the content of this application website, and the content of pop-up window is generally determined voluntarily by application website, user can only passively accept, often cause the interference to user, in addition, browser is except can loading various application website, browser self also can be expanded to user's recommended advertisements content, but there is competitive relation in the information (such as user carries out the keyword of search operation) that in reality, browser self may operate at current page with user to the content that user recommends, need effectively to evade.
Summary of the invention
In view of the above problems, propose the present invention to provide a kind of a kind of method and system to user's content recommendation overcoming the problems referred to above or solve the problem at least in part,
According to one aspect of the present invention, provide a kind of method to user's content recommendation, it comprises:
Detect user search operation requests;
According to user search operation requests, obtain the search keyword that user search uses;
According to the search keyword obtained, determine the search keyword classification that described search keyword is corresponding;
Under determining described search keyword classification, there is needing avoidance recommendations information and needing evading target webpage of competitive relation with described search keyword;
Determine the recommendation information recommended eventually to user and target web corresponding to this recommendation information, wherein eliminating describedly needs avoidance recommendations information and describedly needs evading target webpage;
Described recommendation information is shown with the form of entrance to user at the current status bar browsing webpage of user;
When the trigger action of user to described entrance being detected, loading and representing the target web corresponding with described recommendation information.
Alternatively, the described search keyword classification determining that described search keyword is corresponding comprises:
The search key work scheme that inquiry is preset using described search keyword as term, to obtain search keyword classification corresponding to described search keyword.
Alternatively, described determine to recommend eventually to user recommendation information and target web corresponding to this recommendation information specifically comprise:
The recommendation information that acquisition can be recommended to user and the target web that recommendation information may correspond to;
Rejecting from described recommendable recommendation information describedly needs avoidance recommendations information;
Rejecting from the target web that described recommendation information may correspond to describedly needs evading target webpage;
The target web that final recommendation information and this recommendation information may correspond to is determined according to above-mentioned rejecting result.
Alternatively, the target web that described acquisition can may correspond to the recommendation information of user's recommendation and recommendation information comprises:
Obtain the search keyword that user search uses;
According to described search keyword, obtain the recommendation information relevant to described search keyword and target web as can the target web that may correspond to of recommendation information and recommendation information.
Alternatively, described determine to recommend eventually to user recommendation information and target web corresponding to this recommendation information specifically comprise:
Obtain recommendation information and target web corresponding to recommendation information;
Described recommendation information and target web corresponding to recommendation information are needed avoidance recommendations information and need evading target webpage to carry out correlativity to compare with described, if there is no correlativity, then as the recommendation information recommended to user and target web corresponding to recommendation information, otherwise, again obtain recommendation information and target web corresponding to recommendation information.
Alternatively, the search keyword obtaining user search use comprises:
According to user search operation requests, obtain the source code information of result of page searching;
Heading message in analysis source code information obtains the search keyword that user search uses.
Alternatively, represent described recommendation information at the current status bar browsing webpage of user to user to comprise:
Detect browser status bar state;
When detecting that browser status bar is in idle condition, just represent described recommendation information to user.
Alternatively, described browser status bar is in idle condition and comprises current page loaded, and status bar does not load progress display; Or cursor of mouse focus is not in the position needing status bar to show the network address.
Alternatively, described recommendation information comprises many groups, represents recommendation information according to many group wheel broadcast modes.
Alternatively, described recommendation information comprises keyword, title or abbreviation.
According to one aspect of the present invention, provide a kind of system to user's content recommendation, it comprises:
Check processing module, for detecting user search operation requests;
Search keyword obtains processing module, for according to user search operation requests, obtains the search keyword that user search uses;
Search keyword classification determination processing module, for according to the search keyword obtained, determines the search keyword classification that described search keyword is corresponding;
, under determining described search keyword classification, there is needing avoidance recommendations information and needing evading target webpage of competitive relation with described search keyword in competition information determination processing module;
Recommendation information and target web determination processing module, for determining the recommendation information recommended eventually to user and target web corresponding to this recommendation information, wherein eliminating describedly needs avoidance recommendations information and describedly needs evading target webpage;
Show processing module, for showing described recommendation information with the form of entrance to user at the current status bar browsing webpage of user;
Loading processing module, for when the trigger action of user to described entrance being detected, loading and representing the target web corresponding with described recommendation information.
Alternatively, described search keyword classification determination processing module is the search key work scheme that inquiry is preset using described search keyword as term, to obtain search keyword classification corresponding to described search keyword.
Alternatively, described recommendation information and target web determination processing module specifically comprise:
First acquisition module, for obtaining the target web that can may correspond to the recommendation information of user's recommendation and recommendation information;
First rejects module, describedly needs avoidance recommendations information for rejecting from described recommendable recommendation information;
Second rejects module, describedly needs evading target webpage for rejecting in the target web that may correspond to from described recommendation information;
Determination module, for determining according to above-mentioned rejecting result the target web that final recommendation information and this recommendation information may correspond to.
Alternatively, described first acquisition module comprises:
Search keyword acquisition module, for obtaining the search keyword that user search uses;
Can the target web acquisition module that may correspond to of recommendation information and recommendation information, according to described search keyword, obtain the recommendation information relevant to described search keyword and target web as can the target web that may correspond to of recommendation information and recommendation information.
Alternatively, described recommendation information and target web determination processing module comprise:
Second acquisition module, for obtaining recommendation information and target web corresponding to recommendation information;
Comparison module, for described recommendation information and target web corresponding to recommendation information are needed avoidance recommendations information and need evading target webpage to carry out correlativity to compare with described, if there is no correlativity, then as the recommendation information recommended to user and target web corresponding to recommendation information, otherwise, again obtain recommendation information and target web corresponding to recommendation information.
Alternatively, described search keyword acquisition processing module comprises:
3rd acquisition module, for according to user search operation requests, obtains the source code information of result of page searching;
Parsing module, obtains the search keyword of user search use for the heading message in analysis source code information.
Alternatively, described displaying processing module comprises:
Detection module, for detecting browser status bar state;
Representing module, for when detecting that browser status bar is in idle condition, just representing described recommendation information to user.
Alternatively, described browser status bar is in idle condition and comprises current page loaded, and status bar does not load progress display; Or cursor of mouse focus is not in the position needing status bar to show the network address.
Alternatively, described recommendation information comprises many groups, represents module and represents recommendation information according to many group wheel broadcast modes.
Alternatively, described recommendation information comprises keyword, title or abbreviation.
According to a kind of method and system to user's content recommendation of the embodiment of the present invention, need avoidance recommendations information by eliminating in the recommendation information recommended eventually to user and target web corresponding to this recommendation information and need evading target webpage, therefore, recommendation information and the target web that may there is competitive relation with user's current search keyword can effectively be evaded; In addition, owing to being that the recommendation information initiatively clicked in status bar based on user triggers to user's content recommendation instead of forces pop-up window on webpage in the present embodiment, therefore, the interference caused user is less; In addition, as preferred mode, in the present embodiment, recommendation information is the recommendation information that the search keyword of use current to user is relevant, and namely recommendation information is with user-dependent, and therefore, user more easily can notice recommendation information; And recommendation information and target web corresponding to recommendation information are due to relevant to the search keyword of the current use of user, therefore, the content recommending user more meets the actual demand of user, and recommendation efficiency can be made higher.
Above-mentioned explanation is only the general introduction of technical solution of the present invention, in order to technological means of the present invention can be better understood, and can be implemented according to the content of instructions, and can become apparent, below especially exemplified by the specific embodiment of the present invention to allow above and other objects of the present invention, feature and advantage.
Accompanying drawing explanation
By reading hereafter detailed description of the preferred embodiment, various other advantage and benefit will become cheer and bright for those of ordinary skill in the art.Accompanying drawing only for illustrating the object of preferred implementation, and does not think limitation of the present invention.And in whole accompanying drawing, represent identical parts by identical reference symbol.In the accompanying drawings:
Fig. 1 shows according to an embodiment of the invention to the process flow diagram of the method for user's content recommendation;
Fig. 2 shows the schematic diagram representing recommendation information according to an embodiment of the invention in the method for user's content recommendation in browser status bar;
Fig. 3 shows according to an embodiment of the invention to the entirety composition schematic diagram of the system of user's content recommendation;
Fig. 4 shows in the system of user's content recommendation, searches for the concrete structure schematic diagram that keyword obtains processing module according to an embodiment of the invention;
Fig. 5 shows the concrete structure schematic diagram according to an embodiment of the invention to recommendation information in the system of user's content recommendation and target web determination processing module;
Fig. 6 shows according to an embodiment of the invention to the concrete structure schematic diagram of the first acquisition module in the system of user's content recommendation;
Fig. 7 shows another concrete structure schematic diagram according to an embodiment of the invention to recommendation information in the system of user's content recommendation and target web determination processing module;
Fig. 8 shows the concrete structure schematic diagram showing processing module according to an embodiment of the invention in the system of user's content recommendation.
Embodiment
Below with reference to accompanying drawings exemplary embodiment of the present disclosure is described in more detail.Although show exemplary embodiment of the present disclosure in accompanying drawing, however should be appreciated that can realize the disclosure in a variety of manners and not should limit by the embodiment set forth here.On the contrary, provide these embodiments to be in order to more thoroughly the disclosure can be understood, and complete for the scope of the present disclosure can be conveyed to those skilled in the art.
With reference to figure 1, this figure is according to an embodiment of the invention to the method flow diagram of user's content recommendation, mainly comprises in the present embodiment to the method for user's content recommendation:
Step S101, detects user search operation requests;
Such as detect in the present embodiment that user enters search website and starts inputted search keyword initiation search in the search box can determine user search operation requests to be detected, or detect that user's inputted search keyword in the search box of certain application website is initiated search and can be determined user search operation requests to be detected, can also detect other search operation request situation in reality, repeat no more here;
Step S102, according to user search operation requests, obtains the search keyword that user search uses;
Search operation request normally starts based on search keyword, according to user search operation requests in the present embodiment, need the search keyword obtaining user search use further, as an embodiment, such as, can according to user search operation requests, obtain the source code information of result of page searching, the search keyword of user search use can be obtained by the heading message in analysis source code information, other modes can also be adopted in reality, not do concrete restriction here;
Step S103, according to the search keyword obtained, determines the search keyword classification that described search keyword is corresponding;
Searching for keyword classification in the present embodiment is according to product by search keyword, industry, the various criteria for classification such as function or region is classified, such as searching for keyword is iphone, classify according to product, then can be included into mobile phone classification, if search keyword is thinkpad, then can be included into computer classification, also can classify according to other criteria for classifications in reality, here be not specifically limited, in reality, search key work scheme such as by presetting, the search key work scheme that this is preset is inquired about using described search keyword as term, obtain the search keyword classification that described search keyword is corresponding,
, under determining described search keyword classification, there is needing avoidance recommendations information and needing evading target webpage of competitive relation with described search keyword in step S104;
Search keyword in the present embodiment under same search keyword classification generally has competitive relation, such as, under mobile phone classification, just there is competitive relation in mobile phone and the Samsung mobile phone of apple, therefore, above-mentioned steps S103 determines search keyword classification, can determine to there is the target web needing avoidance recommendations information He need evade of competitive relation with search keyword under this search keyword classification in this step further, such as, search keyword is " i Phone ", the classification of search keyword is according to product classification, namely being categorized as " mobile phone " of keyword is searched for, and the competing product under this search keyword classification (i.e. cell phone type), such as, " Samsung mobile phone " is then the recommendation information that need evade, the website of " Samsung mobile phone " is then need evading target webpage,
Step S105, determines the recommendation information recommended eventually to user and target web corresponding to this recommendation information, and wherein eliminating describedly needs avoidance recommendations information and describedly need evading target webpage;
Recommendation information described in the present embodiment can comprise keyword, title or abbreviation, it also can be other forms of recommendation information in reality, here be not specifically limited, in addition in order to the website of recommending competitive relation can be avoided, as an example, the recommendation information that following manner such as can be adopted to determine to recommend eventually to user and target web corresponding to this recommendation information:
First the target web that can may correspond to the recommendation information of user's recommendation and recommendation information is obtained; Secondly, reject from described recommendable recommendation information and describedly need avoidance recommendations information; Again, reject from the target web that described recommendation information may correspond to and describedly need evading target webpage; Finally, can determine according to above-mentioned rejecting result the target web that final recommendation information and this recommendation information may correspond to.
Needs illustrate, in order to recommend and user-dependent recommendation information to user, such as, can obtain the search keyword that user search uses; Then according to described search keyword, the recommendation information relevant to described search keyword and target web is obtained as can the target web that may correspond to of recommendation information and recommendation information.Because search keyword is with user-dependent, therefore, relevantly to search keyword can be also correlated with user by the target web that may correspond to of recommendation information and recommendation information.
The recommendation information that other modes also can be adopted in reality to determine to recommend eventually to user and target web corresponding to this recommendation information, such as, first obtain recommendation information and target web corresponding to recommendation information; Then described recommendation information and target web corresponding to recommendation information are needed avoidance recommendations information and need evading target webpage to carry out correlativity to compare with described, if there is no correlativity, then as the recommendation information recommended to user and target web corresponding to recommendation information, otherwise, again obtain recommendation information and target web corresponding to recommendation information, so circulation is until get required recommendation information and target web corresponding to recommendation information.
Step S106, shows described recommendation information with the form of entrance to user at the current status bar browsing webpage of user;
The form of the entrance described in the present embodiment refers to the entrance of content recommendation, the form of entrance can be hyperlink form, also can be clicking trigger mode or other entry form that can trigger, in addition, composition graphs 2, status bar is the region of the info web etc. for displayed web page current page state or mouse current location, as a specific embodiment, can by the expansion to status bar, recommendation information is shown with entry form to user when status bar is idle, such as, first can detect the state of browser status bar before representing recommendation information to user in the present embodiment, only have when detecting that browser status bar is in idle condition, just represent described recommendation information to user, specifically, browser status bar described in the present embodiment is in idle condition and comprises current page loaded, and status bar does not load progress display, or cursor of mouse focus is not in the position needing status bar to show the network address, such as mouse is positioned at the blank space etc. of the page, and the situation that in reality, other do not need status bar to show also can belong to the idle condition of browser status bar, is not specifically limited here,
Needs illustrate, as a specific embodiment, also can expand the region that represents of status bar in reality, namely the subregion of status bar still represented page status originally, original regions that represent such as the info web of mouse current location, originally the function that information that region represents is original status bar is represented at this, the information wherein represented only can not clicking operation or cannot trigger action as display, also can expand new region at status bar represents the recommendation information with hyperlink or trigger action simultaneously, namely both can represent at the diverse location of status bar simultaneously, also alternately can show at the same position of status bar, here be not specifically limited.
In addition, described recommendation information can comprise many groups, and can represent recommendation information according to many group wheel broadcast modes at the current status bar browsing webpage of user, ways of presentation can be such as mutilation body or flicker and the mode such as picture or animation, does not do concrete restriction here.
Step S107, when the trigger action of user to described entrance being detected, loading and representing the target web corresponding with described recommendation information.
During specific implementation, the recommendation information that in the present embodiment, status bar represents represents with entry form, namely recommendation information is the entrance of content recommendation, the trigger action that recommendation information can be made in reality to have the mode such as hyperlink or clicking trigger operation realize entrance, therefore, when user is to (such as click or trigger this recommendation information) during entrance trigger action, can load and represent target web corresponding to recommendation information, such as, target web is an advertiser website relevant to recommendation information, after this recommendation information is triggered, advertiser website corresponding to recommendation information can be loaded at new webpage or at current page, or recommendation information is such as " spring transportation train ticket makes a reservation for fast " such title, and this recommendation information corresponding be a ticket reselling website, after user clicks the recommendation information of this " spring transportation train ticket makes a reservation for fast ", can trigger and load ticket reselling website corresponding to this recommendation information.
To sum up, eliminate in the recommendation information recommended eventually to user in the method for the present embodiment and target web corresponding to this recommendation information and need avoidance recommendations information and need evading target webpage, therefore, recommendation information and the target web that may there is competitive relation with user's current search keyword can effectively be evaded; In addition, owing to being that the recommendation information initiatively clicked in status bar based on user triggers to user's content recommendation instead of forces pop-up window on webpage in the present embodiment, therefore, the interference caused user is less; In addition, as preferred mode, in the present embodiment, recommendation information is the recommendation information that the search keyword of use current to user is relevant, and namely recommendation information is with user-dependent, and therefore, user more easily can notice recommendation information; And recommendation information and target web corresponding to recommendation information are due to relevant to the search keyword of the current use of user, therefore, the content recommending user more meets the actual demand of user, and recommendation efficiency can be made higher.
With reference to figure 3, this figure is according to an embodiment of the invention to the overall schematic of the system of user's content recommendation, and the present embodiment mainly comprises to the system of user's content recommendation:
Check processing module 1, in the present embodiment, check processing module 1 is mainly for detection of user search operation requests;
In the present embodiment such as check processing module 1 detect user enter search website and start in the search box inputted search keyword initiate search can determine user search operation requests to be detected, or check processing module 1 detects that user's inputted search keyword in the search box of certain application website is initiated search and can be determined user search operation requests to be detected, can also detect other search operation request situation in reality, repeat no more here;
Search keyword obtains processing module 2, searches for keyword acquisition processing module 2 and is mainly used according to user search operation requests, obtain the search keyword that user search uses in the present embodiment; Due to search operation request normally based on search keyword start, according to user search operation requests in the present embodiment, need the search keyword obtaining user search use further, as an embodiment, composition graphs 4, search keyword obtains processing module 2 and can comprise:
3rd acquisition module 21, for according to user search operation requests, obtains the source code information of result of page searching;
Parsing module 22, obtains the search keyword of user search use for the heading message in analysis source code information.
Needs illustrate, search for keyword acquisition processing module 2 in reality and other modes can also be adopted to obtain search keyword, its comprising modules also can be other forms, does not do concrete restriction here.
Search keyword classification determination processing module 3, for according to the search keyword obtained in the present embodiment, determines the search keyword classification that described search keyword is corresponding;
Searching for keyword classification in the present embodiment is according to product by search keyword, industry, the various criteria for classification such as function or region is classified, such as searching for keyword is iphone, classify according to product, then can be included into mobile phone classification, if search keyword is thinkpad, then can be included into computer classification, also can classify according to other criteria for classifications in reality, here be not specifically limited, in reality, such as search for the search key work scheme of keyword classification determination processing module 3 by presetting, the search key work scheme that this is preset is inquired about using described search keyword as term, obtain the search keyword classification that described search keyword is corresponding,
, under competition information determination processing module 4 is mainly used in determining described search keyword classification in the present embodiment, there is needing avoidance recommendations information and needing evading target webpage of competitive relation with described search keyword in competition information determination processing module 4;
In reality, search keyword under same search keyword classification generally has competitive relation, such as, under mobile phone classification, just there is competitive relation in mobile phone and the Samsung mobile phone of apple, in the present embodiment, competition information determination processing module 4 can determine to there is the target web needing avoidance recommendations information He need evade of competitive relation with search keyword under this search keyword classification further, such as, search keyword is " i Phone ", the classification of search keyword is according to product classification, namely searching for keyword classification is " mobile phone ", and the competing product under this search keyword classification (i.e. cell phone type), such as " Samsung mobile phone " is then the recommendation information that need evade, the website of " Samsung mobile phone " is then need evading target webpage.
Recommendation information and target web determination processing module 5, in the present embodiment, recommendation information and target web determination processing module 5 are mainly used in determining the recommendation information recommended eventually to user and target web corresponding to this recommendation information, and wherein eliminating describedly needs avoidance recommendations information and describedly need evading target webpage;
With reference to aforementioned explanation, in order to the website of recommending competitive relation can be avoided in the present embodiment, as an example, such as, composition graphs 5, described recommendation information and target web determination processing module can specifically comprise:
First acquisition module 511, for obtaining the target web that can may correspond to the recommendation information of user's recommendation and recommendation information, in order to obtain and user-dependent recommendation information and target web in reality, as an embodiment, composition graphs 6, described first acquisition module 511 can comprise:
Search keyword acquisition module 5111, for obtaining the search keyword that user search uses;
Can the target web acquisition module 5112 that may correspond to of recommendation information and recommendation information, according to described search keyword, obtain the recommendation information relevant to described search keyword and target web as can the target web that may correspond to of recommendation information and recommendation information, such as, search keyword is " mobile phone ", then can recommend can be " i Phone ", " Samsung mobile phone " etc.;
First rejects module 512, describedly avoidance recommendations information is needed for rejecting from described recommendable recommendation information, such as, avoidance recommendations information is needed to be " Samsung mobile phone ", if the recommendation information relevant to " Samsung mobile phone " can be comprised in recommendation information, then from rejecting and the recommendation information that need evade recommendation information, namely need reject " Samsung mobile phone ";
Second rejects module 513, describedly evading target webpage is needed for rejecting in the target web that may correspond to from described recommendation information, such as, the target web that need evade is the website of Samsung mobile phone, if comprise the website of Samsung mobile phone in the target web that recommendation information may correspond to, then need the website of then rejecting Samsung mobile phone from the target web that recommendation information may correspond to;
Determination module 514, for determining according to above-mentioned rejecting result the target web that final recommendation information and this recommendation information may correspond to.
Other modes can also be adopted in reality, such as, an optional embodiment, composition graphs 7, described recommendation information and target web determination processing module 5 comprise:
Second acquisition module 521, for obtaining recommendation information and target web corresponding to recommendation information;
Comparison module 522, for described recommendation information and target web corresponding to recommendation information are needed avoidance recommendations information and need evading target webpage to carry out correlativity to compare with described, if there is no correlativity, then as the recommendation information recommended to user and target web corresponding to recommendation information, otherwise, again obtain recommendation information and target web corresponding to recommendation information.
Show processing module 6, in the present embodiment, show that processing module 6 is mainly used in showing described recommendation information with the form of entrance to user at the current status bar browsing webpage of user;
By the expansion to status bar in the present embodiment, represent described recommendation information when status bar is idle with the form of entrance, as a specific embodiment, composition graphs 8, representing processing module 6 can comprise:
Detection module 61, for detecting the state of browser status bar;
Represent module 62, for when detecting that browser status bar is in idle condition, just represent described recommendation information to user, with reference to aforementioned explanation, described browser status bar is in idle condition and comprises current page loaded, and status bar does not load progress display; Or cursor of mouse focus is not in the position needing status bar to show the network address; Such as mouse is positioned at the blank space etc. of the page, and the situation that in reality, other do not need status bar to show also can belong to the idle condition of browser status bar, is not specifically limited here;
Needs illustrate, as another specific embodiment, also can expand the region that represents of status bar in reality, namely the subregion of status bar can represent page status, original regions that represent such as the info web of mouse current location, originally the function that region presenting information is original status bar is represented at this, and the information represented only can not clicking operation or cannot trigger action as display, simultaneously also can expand new region at status bar to represent there is hyperlink or can the recommendation information of trigger action, namely both can represent at the diverse location of status bar simultaneously, also alternately can represent at the same position of status bar, here be not specifically limited.
In addition, needs illustrate, described recommendation information may comprise many groups, represent module 42 in the present embodiment to represent recommendation information according to many group wheel broadcast modes, ways of presentation can be such as mutilation body or flicker and the mode such as picture or animation, in reality, also can adopt other ways of presentation, be not specifically limited here;
Loading processing module 7, in the present embodiment, loading processing module 7 is mainly used in, when the trigger action of user to described entrance being detected, loading and representing target web corresponding to described recommendation information.
In the present embodiment, status bar represents recommendation information with entry form, in reality recommendation information can be have hyperlink recommendation information or can the recommendation information of trigger action, during specific implementation, when user carries out trigger action to entrance time (such as user clicks or triggers this recommendation information), loading processing module 7 can load and represent the target web corresponding with recommendation information, repeats no more here.
To sum up, eliminate in the recommendation information recommended eventually to user in the system of the present embodiment and target web corresponding to this recommendation information and need avoidance recommendations information and need evading target webpage, therefore, recommendation information and the target web that may there is competitive relation with user's current search keyword can effectively be evaded; In addition, owing to being that the recommendation information initiatively clicked in status bar based on user triggers to user's content recommendation instead of forces pop-up window on webpage in the present embodiment, therefore, the interference caused user is less; In addition, as preferred mode, in the present embodiment, recommendation information is the recommendation information that the search keyword of use current to user is relevant, and namely recommendation information is with user-dependent, and therefore, user more easily can notice recommendation information; And recommendation information and target web corresponding to recommendation information are due to relevant to the search keyword of the current use of user, therefore, the content recommending user more meets the actual demand of user, and recommendation efficiency can be made higher.
Intrinsic not relevant to any certain computer, virtual system or miscellaneous equipment with display at this algorithm provided.Various general-purpose system also can with use based on together with this teaching.According to description above, the structure constructed required by this type systematic is apparent.In addition, the present invention is not also for any certain programmed language.It should be understood that and various programming language can be utilized to realize content of the present invention described here, and the description done language-specific is above to disclose preferred forms of the present invention.
In instructions provided herein, describe a large amount of detail.But can understand, embodiments of the invention can be put into practice when not having these details.In some instances, be not shown specifically known method, structure and technology, so that not fuzzy understanding of this description.
Similarly, be to be understood that, in order to simplify the disclosure and to help to understand in each inventive aspect one or more, in the description above to exemplary embodiment of the present invention, each feature of the present invention is grouped together in single embodiment, figure or the description to it sometimes.But, the method for the disclosure should be construed to the following intention of reflection: namely the present invention for required protection requires feature more more than the feature clearly recorded in each claim.Or rather, as claims below reflect, all features of disclosed single embodiment before inventive aspect is to be less than.Therefore, the claims following embodiment are incorporated to this embodiment thus clearly, and wherein each claim itself is as independent embodiment of the present invention.
Those skilled in the art are appreciated that and adaptively can change the module in the equipment in embodiment and they are arranged in one or more equipment different from this embodiment.Module in embodiment or unit or assembly can be combined into a module or unit or assembly, and multiple submodule or subelement or sub-component can be put them in addition.Except at least some in such feature and/or process or unit be mutually repel except, any combination can be adopted to combine all processes of all features disclosed in this instructions (comprising adjoint claim, summary and accompanying drawing) and so disclosed any method or equipment or unit.Unless expressly stated otherwise, each feature disclosed in this instructions (comprising adjoint claim, summary and accompanying drawing) can by providing identical, alternative features that is equivalent or similar object replaces.
In addition, those skilled in the art can understand, although embodiments more described herein to comprise in other embodiment some included feature instead of further feature, the combination of the feature of different embodiment means and to be within scope of the present invention and to form different embodiments.Such as, in the following claims, the one of any of embodiment required for protection can use with arbitrary array mode.
All parts embodiment of the present invention with hardware implementing, or can realize with the software module run on one or more processor, or realizes with their combination.It will be understood by those of skill in the art that and microprocessor or digital signal processor (DSP) can be used in practice to realize according to a kind of some or all functions to the some or all parts in the system of user's content recommendation of the embodiment of the present invention.The present invention can also be embodied as part or all equipment for performing method as described herein or device program (such as, computer program and computer program).Realizing program of the present invention and can store on a computer-readable medium like this, or the form of one or more signal can be had.Such signal can be downloaded from internet website and obtain, or provides on carrier signal, or provides with any other form.
The present invention will be described instead of limit the invention to it should be noted above-described embodiment, and those skilled in the art can design alternative embodiment when not departing from the scope of claims.In the claims, any reference symbol between bracket should be configured to limitations on claims.Word " comprises " not to be got rid of existence and does not arrange element in the claims or step.Word "a" or "an" before being positioned at element is not got rid of and be there is multiple such element.The present invention can by means of including the hardware of some different elements and realizing by means of the computing machine of suitably programming.In the unit claim listing some devices, several in these devices can be carry out imbody by same hardware branch.Word first, second and third-class use do not represent any order.Can be title by these word explanations.
The invention discloses, A1, a kind of method to user's content recommendation, comprising:
Detect user search operation requests;
According to user search operation requests, obtain the search keyword that user search uses;
According to the search keyword obtained, determine the search keyword classification that described search keyword is corresponding;
Under determining described search keyword classification, there is needing avoidance recommendations information and needing evading target webpage of competitive relation with described search keyword;
Determine the recommendation information recommended eventually to user and target web corresponding to this recommendation information, wherein eliminating describedly needs avoidance recommendations information and describedly needs evading target webpage;
Described recommendation information is shown with the form of entrance to user at the current status bar browsing webpage of user;
When the trigger action of user to described entrance being detected, loading and representing the target web corresponding with described recommendation information.
A2, method according to A1, it is characterized in that, the described search keyword classification determining that described search keyword is corresponding comprises:
The search key work scheme that inquiry is preset using described search keyword as term, to obtain search keyword classification corresponding to described search keyword.
A3, method according to A1, is characterized in that, described determine to recommend eventually to user recommendation information and target web corresponding to this recommendation information specifically comprise:
The recommendation information that acquisition can be recommended to user and the target web that recommendation information may correspond to;
Rejecting from described recommendable recommendation information describedly needs avoidance recommendations information;
Rejecting from the target web that described recommendation information may correspond to describedly needs evading target webpage;
The target web that final recommendation information and this recommendation information may correspond to is determined according to above-mentioned rejecting result.
A4, method according to A3, is characterized in that, the recommendation information that described acquisition can be recommended to user and the target web that recommendation information may correspond to comprise:
Obtain the search keyword that user search uses;
According to described search keyword, obtain the recommendation information relevant to described search keyword and target web as can the target web that may correspond to of recommendation information and recommendation information.
A5, method according to A1, is characterized in that, described determine to recommend eventually to user recommendation information and target web corresponding to this recommendation information specifically comprise:
Obtain recommendation information and target web corresponding to recommendation information;
Described recommendation information and target web corresponding to recommendation information are needed avoidance recommendations information and need evading target webpage to carry out correlativity to compare with described, if there is no correlativity, then as the recommendation information recommended to user and target web corresponding to recommendation information, otherwise, again obtain recommendation information and target web corresponding to recommendation information.
A6, method according to A1, is characterized in that, obtains the search keyword that user search uses and comprise:
According to user search operation requests, obtain the source code information of result of page searching;
Heading message in analysis source code information obtains the search keyword that user search uses.
A7, method according to any one of A1-A6, is characterized in that, represent described recommendation information comprise at the current status bar browsing webpage of user to user:
Detect browser status bar state;
When detecting that browser status bar is in idle condition, just represent described recommendation information to user.
A8, method according to A7, it is characterized in that, described browser status bar is in idle condition and comprises current page loaded, and status bar does not load progress display; Or cursor of mouse focus is not in the position needing status bar to show the network address.
A9, method according to A7, it is characterized in that, described recommendation information comprises many groups, represents recommendation information according to many group wheel broadcast modes.
A10, method according to A1, it is characterized in that, described recommendation information comprises keyword, title or abbreviation.
B11, a kind of system to user's content recommendation, comprising:
Check processing module, for detecting user search operation requests;
Search keyword obtains processing module, for according to user search operation requests, obtains the search keyword that user search uses;
Search keyword classification determination processing module, for according to the search keyword obtained, determines the search keyword classification that described search keyword is corresponding;
, under determining described search keyword classification, there is needing avoidance recommendations information and needing evading target webpage of competitive relation with described search keyword in competition information determination processing module;
Recommendation information and target web determination processing module, for determining the recommendation information recommended eventually to user and target web corresponding to this recommendation information, wherein eliminating describedly needs avoidance recommendations information and describedly needs evading target webpage;
Show processing module, for showing described recommendation information with the form of entrance to user at the current status bar browsing webpage of user;
Loading processing module, for when the trigger action of user to described entrance being detected, loading and representing the target web corresponding with described recommendation information.
B12, system according to B11, it is characterized in that, described search keyword classification determination processing module is the search key work scheme that inquiry is preset using described search keyword as term, to obtain search keyword classification corresponding to described search keyword.
B13, system according to B11, it is characterized in that, described recommendation information and target web determination processing module specifically comprise:
First acquisition module, for obtaining the target web that can may correspond to the recommendation information of user's recommendation and recommendation information;
First rejects module, describedly needs avoidance recommendations information for rejecting from described recommendable recommendation information;
Second rejects module, describedly needs evading target webpage for rejecting in the target web that may correspond to from described recommendation information;
Determination module, for determining according to above-mentioned rejecting result the target web that final recommendation information and this recommendation information may correspond to.
B14, system according to B13, it is characterized in that, described first acquisition module comprises:
Search keyword acquisition module, for obtaining the search keyword that user search uses;
Can the target web acquisition module that may correspond to of recommendation information and recommendation information, according to described search keyword, obtain the recommendation information relevant to described search keyword and target web as can the target web that may correspond to of recommendation information and recommendation information.
B15, system according to B11, it is characterized in that, described recommendation information and target web determination processing module comprise:
Second acquisition module, for obtaining recommendation information and target web corresponding to recommendation information;
Comparison module, for described recommendation information and target web corresponding to recommendation information are needed avoidance recommendations information and need evading target webpage to carry out correlativity to compare with described, if there is no correlativity, then as the recommendation information recommended to user and target web corresponding to recommendation information, otherwise, again obtain recommendation information and target web corresponding to recommendation information.
B16, system according to B11, is characterized in that, described search keyword obtains processing module and comprises:
3rd acquisition module, for according to user search operation requests, obtains the source code information of result of page searching;
Parsing module, obtains the search keyword of user search use for the heading message in analysis source code information.
B17, system according to any one of B11-B16, it is characterized in that, described displaying processing module comprises:
Detection module, for detecting browser status bar state;
Representing module, for when detecting that browser status bar is in idle condition, just representing described recommendation information to user.
B18, system according to B17, it is characterized in that, described browser status bar is in idle condition and comprises current page loaded, and status bar does not load progress display; Or cursor of mouse focus is not in the position needing status bar to show the network address.
B19, system according to B17, it is characterized in that, described recommendation information comprises many groups, represents module and represents recommendation information according to many group wheel broadcast modes.
B20, system according to B11, it is characterized in that, described recommendation information comprises keyword, title or abbreviation.
Claims (10)
1. to a method for user's content recommendation, it is characterized in that, comprising:
Detect user search operation requests;
According to user search operation requests, obtain the search keyword that user search uses;
According to the search keyword obtained, determine the search keyword classification that described search keyword is corresponding;
Under determining described search keyword classification, there is needing avoidance recommendations information and needing evading target webpage of competitive relation with described search keyword;
Determine the recommendation information recommended eventually to user and target web corresponding to this recommendation information, wherein eliminating describedly needs avoidance recommendations information and describedly needs evading target webpage;
Described recommendation information is shown with the form of entrance to user at the current status bar browsing webpage of user;
When the trigger action of user to described entrance being detected, loading and representing the target web corresponding with described recommendation information.
2. the method for claim 1, is characterized in that, the described search keyword classification determining that described search keyword is corresponding comprises:
The search key work scheme that inquiry is preset using described search keyword as term, to obtain search keyword classification corresponding to described search keyword.
3. the method for claim 1, is characterized in that, described determine to recommend eventually to user recommendation information and target web corresponding to this recommendation information specifically comprise:
The recommendation information that acquisition can be recommended to user and the target web that recommendation information may correspond to;
Rejecting from described recommendable recommendation information describedly needs avoidance recommendations information;
Rejecting from the target web that described recommendation information may correspond to describedly needs evading target webpage;
The target web that final recommendation information and this recommendation information may correspond to is determined according to above-mentioned rejecting result.
4. method as claimed in claim 3, is characterized in that, the recommendation information that described acquisition can be recommended to user and the target web that recommendation information may correspond to comprise:
Obtain the search keyword that user search uses;
According to described search keyword, obtain the recommendation information relevant to described search keyword and target web as can the target web that may correspond to of recommendation information and recommendation information.
5. method according to claim 1, is characterized in that, described determine to recommend eventually to user recommendation information and target web corresponding to this recommendation information specifically comprise:
Obtain recommendation information and target web corresponding to recommendation information;
Described recommendation information and target web corresponding to recommendation information are needed avoidance recommendations information and need evading target webpage to carry out correlativity to compare with described, if there is no correlativity, then as the recommendation information recommended to user and target web corresponding to recommendation information, otherwise, again obtain recommendation information and target web corresponding to recommendation information.
6. the method for claim 1, is characterized in that, the search keyword obtaining user search use comprises:
According to user search operation requests, obtain the source code information of result of page searching;
Heading message in analysis source code information obtains the search keyword that user search uses.
7. the method as described in any one of claim 1-6, is characterized in that, represents described recommendation information comprise at the current status bar browsing webpage of user to user:
Detect browser status bar state;
When detecting that browser status bar is in idle condition, just represent described recommendation information to user.
8. method as claimed in claim 7, it is characterized in that, described browser status bar is in idle condition and comprises current page loaded, and status bar does not load progress display; Or cursor of mouse focus is not in the position needing status bar to show the network address.
9. method as claimed in claim 7, it is characterized in that, described recommendation information comprises many groups, represents recommendation information according to many group wheel broadcast modes.
10. to a system for user's content recommendation, it is characterized in that, comprising:
Check processing module, for detecting user search operation requests;
Search keyword obtains processing module, for according to user search operation requests, obtains the search keyword that user search uses;
Search keyword classification determination processing module, for according to the search keyword obtained, determines the search keyword classification that described search keyword is corresponding;
, under determining described search keyword classification, there is needing avoidance recommendations information and needing evading target webpage of competitive relation with described search keyword in competition information determination processing module;
Recommendation information and target web determination processing module, for determining the recommendation information recommended eventually to user and target web corresponding to this recommendation information, wherein eliminating describedly needs avoidance recommendations information and describedly needs evading target webpage;
Show processing module, for showing described recommendation information with the form of entrance to user at the current status bar browsing webpage of user;
Loading processing module, for when the trigger action of user to described entrance being detected, loading and representing the target web corresponding with described recommendation information.
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| CN201510937797.2A CN105574140A (en) | 2015-12-15 | 2015-12-15 | Method and system for recommending contents to user |
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