CN105426537A - Recommendation method for navigation page search keywords and terminal equipment - Google Patents
Recommendation method for navigation page search keywords and terminal equipment Download PDFInfo
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- CN105426537A CN105426537A CN201510965232.5A CN201510965232A CN105426537A CN 105426537 A CN105426537 A CN 105426537A CN 201510965232 A CN201510965232 A CN 201510965232A CN 105426537 A CN105426537 A CN 105426537A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/954—Navigation, e.g. using categorised browsing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
Abstract
The invention discloses a recommendation method for navigation page search keywords and terminal equipment. The method comprises the steps that firstly, search keyword records input from a search entry and provided by a single user on a browser navigation page are obtained for mining historical search behaviors of a user, then, the search keyword records are analyzed, and whether search keywords meet preset conditions or not is judged; the search keywords meeting the preset conditions are used as search recommended words, and the search recommended words are displayed in a search recommendation bar on the navigation page to be recommended to the single user; when a triggering operation performed by the single user on the search recommended words is detected, a search result corresponding to the search recommended words can be directly obtained to be fed back to the single user, time wasted for inputting in a search box again is not needed, the search time can be shortened, and the search efficiency is improved.
Description
Technical field
The application relates to communication technical field, particularly relates to a kind of recommend method for navigation page search keyword and terminal device.
Background technology
Navigation page is the main entrance that browser is supplied to user's " retrieval ".
Navigation page is generally supplied to user's two kinds of retrieval modes: first kind of way, and navigation page provides search box to user, and user can pass through inputted search word in the search box, directly obtains result for retrieval; The second way, navigation page provides navigation site link, and user directly can click navigation site link and enter website.
Because the search need of user has repeatability, such as: user's searching television play every night " xx biography " is watched, or user often input XX website and search data etc.But this retrieval mode of what existing navigation page provided utilize search box result for retrieval, when user has search need, all needs user will repeat inputted search keyword, and then reduces effectiveness of retrieval.
Summary of the invention
For solving or partly solving the problems of the technologies described above, the invention provides a kind of recommend method for navigation page search keyword, described method comprises:
Obtain the search keyword record that unique user inputs at the search entrance that browser navigation page provides;
Described search keyword record is analyzed, judges whether described search keyword meets pre-conditioned;
Recommend word using meeting described pre-conditioned search keyword as search, and described search recommended the word search be presented on described navigation page to recommend to recommend described unique user in hurdle;
When detecting that described unique user recommends the trigger action of word to described search, obtaining described search and recommend search results pages corresponding to word and feed back to described unique user.
Preferably, described search is recommended word to comprise and is often searched word,
Described search keyword record to be analyzed, judges whether described search keyword meets and pre-conditionedly specifically to comprise:
Described search keyword record is analyzed, judges whether described search keyword meets the search frequency or frequency preset in preset time range;
Described will meet described pre-conditioned search keyword as search recommend word, specifically comprise:
By meeting the search keyword of the described preset search frequency or frequency, often search word as described.
Preferably, described search recommends word to comprise supplementary word,
Described search keyword record to be analyzed, judges whether described search keyword meets and pre-conditionedly specifically to comprise:
Described search keyword record is analyzed, judges whether described search keyword has periodically search law;
Described will meet described pre-conditioned search keyword as search recommend word, specifically comprise:
Using the search keyword of satisfied periodicity search law as described supplementary word.
Preferably, recommend described unique user in the described search recommendation hurdle be presented at by described search recommendation word on described navigation page, specifically comprise:
The priority weighting of word is recommended in described search at least to recommend the search frequency of word or frequency to determine based on described search;
Recommend the priority weighting of word according to described search, determine that described search recommends word to search for described the display position recommended in hurdle.
Preferably, described at least recommend the search frequency of word or frequency to determine based on described search the priority weighting of word is recommended in described search, also comprise:
Recommend the ageing of word and/or described search to recommend the periodicity of word based on described search, determine that the priority weighting of word is recommended in described search.
Preferably, at the described priority weighting recommending word according to described search, determine that described search recommends word after the display position in hurdle is recommended in described search, described method also comprises:
The ageing of word is recommended in search described in Real-Time Monitoring, and recommends the described search of the ageing adjustment of word to recommend the priority weighting of word according to described search.
Preferably, recommend meeting described pre-conditioned search keyword after word as search described, described method also comprises:
Obtain and the described search recommendation related term searched for recommendation word and be associated, and described search recommended word and described search to recommend related term to be presented in the lump in described search recommendation hurdle.
Preferably, the search that described acquisition and described search recommend word to be associated recommends related term to comprise:
Recommend the meaning of a word degree of correlation of word based on described search, determine the search recommendation related term recommending word relevant with described search;
And/or,
Based on the historical search behavioral data of multiple user, to obtain and described search recommends word to have other search keywords of default incidence relation, using described other search keywords with default incidence relation as described search recommendation related term.
Preferably, described word and the described search recommendation related term described search recommended is presented in described search recommendation hurdle in the lump, specifically comprises:
Judge that described search is recommended the number of word whether to be less than described search and recommended number reserved in hurdle;
If described search recommends the number of word to be less than the described position number searched in recommendation hurdle, preferentially recommend word to be presented in described recommendation hurdle described search, and recommend search recommendation related term described in remaining position display in hurdle in described search.
Preferably, described search described in remaining position display in described search recommendation hurdle recommends related term, specifically comprises:
Calculate the weighted value that related term is recommended in described search;
Recommend the weighted value of related term to recommend related term to be presented at described search successively described search according to described search and recommend remaining position in hurdle.
Preferably, described word and the described search recommendation related term described search recommended is presented in described search recommendation hurdle in the lump, specifically comprises:
Described search recommended word and described search to recommend related term to be presented at described search in proportion to recommend in hurdle.
Present invention also offers a kind of terminal device, comprising:
First obtains module, for obtaining the search keyword record that unique user inputs at the search entrance that browser navigation page provides;
Analysis module, for analyzing described search keyword record, judges whether described search keyword meets pre-conditioned;
First display module, for recommending word using meeting described pre-conditioned search keyword as search, and recommends the word search be presented on described navigation page to recommend to recommend described unique user in hurdle by described search;
Feedback module, for when detecting that described unique user recommends the trigger action of word to described search, obtaining described search and recommends search results pages corresponding to word and feed back to described unique user.
Preferably, described search is recommended word to comprise and is often searched word,
Described analysis module, specifically for analyzing described search keyword record, judges whether described search keyword meets the search frequency or frequency preset in preset time range;
Described first display module, specifically for the search keyword by meeting the described preset search frequency or frequency, often searches word as described.
Preferably, described search recommends word to comprise supplementary word,
Described analysis module, specifically for analyzing described search keyword record, judges whether described search keyword has periodically search law;
Described first display module, specifically for using the search keyword of satisfied periodicity search law as described supplementary word.
Preferably, described first display module, specifically comprises:
First determination module, at least recommending the search frequency of word or frequency to determine based on described search, the priority weighting of word is recommended in described search;
Second determination module, for recommending the priority weighting of word according to described search, determines that described search recommends word to search for described the display position recommended in hurdle.
Preferably, described first determination module, also for recommending the ageing of word and/or described search to recommend the periodicity of word based on described search, determines that the priority weighting of word is recommended in described search.
Preferably, described terminal device also comprises:
Monitoring modular, recommends the ageing of word for search described in Real-Time Monitoring, and recommends the described search of the ageing adjustment of word to recommend the priority weighting of word according to described search.
Preferably, described terminal device also comprises:
Second obtains module, recommends related term for obtaining the search recommending word to be associated with described search;
Second display module, recommends related term to be presented at described search in the lump for described search being recommended word and described search and recommends in hurdle.
Preferably, described second obtains module, specifically for:
Recommend the meaning of a word degree of correlation of word based on described search, determine the search recommendation related term recommending word relevant with described search;
And/or,
Based on the historical search behavioral data of multiple user, to obtain and described search recommends word to have other search keywords of default incidence relation, using described other search keywords with default incidence relation as described search recommendation related term.
Preferably, described second obtains module, specifically, for judging that described search is recommended the number of word whether to be less than described search and recommended number reserved in hurdle;
Described second display module, if recommend the number of word to be less than the described position number searched in recommendation hurdle for described search, preferentially recommend word to be presented in described recommendation hurdle described search, and recommend search described in remaining position display in hurdle to recommend related term in described search.
Preferably, described second display module, specifically comprises:
Computing module, recommends the weighted value of related term for calculating described search;
Described second display module, also recommends remaining position in hurdle for recommending the weighted value of related term to recommend related term to be presented at described search successively described search according to described search.
Preferably, described second display module, also recommends in hurdle for described search being recommended word and described search to recommend related term to be presented at described search in proportion.
By one or more technical scheme of the present invention, the present invention has following beneficial effect or advantage:
The invention provides a kind of recommend method for navigation page search keyword and terminal device, first the method obtains unique user carrys out digging user historical search behavior at the search keyword record that the search entrance that browser navigation page provides inputs, then described search keyword record is analyzed, judge whether described search keyword meets pre-conditioned; Word is recommended as search using meeting described pre-conditioned search keyword, and described search recommended the word search be presented on described navigation page to recommend to recommend described unique user in hurdle, when detecting that described unique user recommends the trigger action of word to described search, just directly can obtain described search recommends search results pages corresponding to word to feed back to described unique user, do not need again to input at search box to lose time, the time of retrieval can be shortened, improve effectiveness of retrieval.
Accompanying drawing explanation
Fig. 1 is the implementation process figure for the recommend method of navigation page search keyword in the embodiment of the present invention;
Fig. 2 is the structural representation of terminal device in the embodiment of the present invention.
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.
As a kind of optional embodiment, the invention provides a kind of recommend method for navigation page search keyword, in order to solve the not high problem of existing navigation page recall precision.
Please refer to Fig. 1 below, is the implementation process figure of the recommend method for navigation page search keyword provided by the invention.
S1, obtains the search keyword record that unique user inputs at the search entrance that browser navigation page provides.
As a kind of possible implementation, the search entrance that browser navigation page provides is supplied to user with the form of search box, and user only needs inputted search keyword triggering searches in the search box to get result for retrieval.And based on terminal device, after user each time inputted search keyword, all can carry out statistics registration to the search keyword of user's input, and then form search keyword record.The search keyword in any type and any field is covered, such as: name, place name, TV play title, web site name, device name etc. in search keyword record.
S2, analyzes described search keyword record, judges whether described search keyword meets pre-conditioned.
In embodiments of the present invention, meet pre-conditioned search keyword word to be recommended to be presented at search as search to recommend to be supplied to user in hurdle.
In embodiments of the present invention, search is recommended word can be divided into according to the rule of search and is often searched word and supplementary word.Often searching word is the search keyword that the search frequency at the appointed time or frequency reach certain search degree.Search degree is by terminal device sets itself, and to search for the frequency, search degree can be set as that the search frequency per hour reaches 5 times.Supplementary word is the search keyword with periodically search law.Whether search keyword has periodically search law is obtained by the historical record analysis of terminal device according to each search keyword.
As a kind of possible implementation, some search keyword is the keyword that user often searches for, and so the search frequency of this search keyword or frequency can be higher, can be regarded as search and recommend often to search word in word.Therefore, when judging whether described search keyword meets pre-conditioned, ' the search frequency of the search keyword in preset time range or frequency ' can be judged as pre-conditioned search keyword.Concrete implementation is: analyze described search keyword record, judge whether described search keyword meets the search frequency or frequency preset in preset time range, and the search keyword meeting the described preset search frequency or frequency in preset time range is often searched word as described.For example, suppose to search for the pre-conditioned of keyword demand fulfillment: search keyword must reach 5 times in the search frequency within an hour.So when analyzing search keyword record, if there is search keyword to reach 5 times in the search frequency within an hour, then represents that this search keyword meets pre-conditioned, so then often searching word using meeting pre-conditioned search keyword as described.
As a kind of possible implementation, although the frequency of some search keyword input or the frequency not high, it has certain regularity, can be thought to search for the supplementary word recommended in word.Such as some TV play upgrades once on every Wendesdays, and terminal device just can inquire the acute name of this TV play and just can be recorded once on every Wendesdays in key search word record.Therefore, when judging whether described search keyword meets pre-conditioned, the periodicity of keyword ' search ' can also be searched for keyword judge as pre-conditioned.Concrete implementation is: analyze described search keyword record, judges whether described search keyword has periodically search law; Using the search keyword of satisfied periodicity search law as described supplementary word.For example, suppose to search for the pre-conditioned of keyword demand fulfillment: the periodicity search law of search keyword is 7 days/time.If so there is search keyword to meet the periodicity search law of 7 days/time, so then represents that this search keyword meets pre-conditioned, so then will meet pre-conditioned search keyword as described supplementary word.
How the present invention of above two kinds of mode description and interpretation judges to search for keyword according to pre-conditioned.It should be noted that in actual applications, the present invention can also utilize alternate manner to carry out analysis judgement to search keyword, and which also should be included within protection scope of the present invention.
S3, recommends word using meeting described pre-conditioned search keyword as search, and described search is recommended the word search be presented on described navigation page to recommend to recommend described unique user in hurdle.
As a kind of possible implementation, when the search on navigation page is recommended to recommend search recommendation word in hurdle, word can be recommended to sort according to priority weighting to search, and recommend in hurdle in search according to sequencing display.
When arranging priority weighting, the priority weighting of word is recommended in described search at least the search frequency of word or frequency can be recommended to determine based on described search; Then recommend the priority weighting of word according to described search, determine that described search recommends word to search for described the display position recommended in hurdle.
For the search frequency calculating priority level weight utilizing search to recommend word, the search of difference being searched for the frequency recommends word to distribute corresponding priority weighting.The search that the search frequency is high recommends word explanation user often to input, and therefore its weighted value is higher.Accordingly, searching for the low search of the frequency recommends the weighted value of word lower.Such as, the weight that the search frequency per hour meets 9 times is set to 0.9, the weight that the search frequency per hour meets 8 times is set to 0.8, by that analogy.If the priority weighting that search recommends word " the X month passes " to calculate is 0.8, search recommends the priority weighting of word " XX moving service company " to be 0.7, so according to both priority weightings, recommend, in the display position in hurdle, " the X month passes " to be arranged in before " XX moving service company " in described search.
Certainly, when arranging priority weighting, other mode also can be utilized.Such as, recommending on the search frequency of word or the basis of frequency determination priority weighting based on described search, increasing described search recommends the ageing of word and/or described search to recommend the periodicity of word, and many-side comprehensively determines that the priority weighting of word is recommended in described search.
To search for the search frequency and periodicity of recommending word.Originally utilize search to recommend on the basis of the search frequency calculating priority level weight of word, if search recommends word also to have periodic regularity, increase weight 0.05.Namely the priority weighting that search recommends word " the X month passes " to calculate is that 0.85 search recommends the priority weighting of word " XX moving service company " to be 0.75, and then recommends word according to two search above priority weighting display in described recommendation hurdle.
Because each search recommends the periodic regularity of word to have nothing in common with each other.Therefore, recommend word that also different weighted values can be set for the search with different cycles rule, then combine the weighted value searched for and recommend base to obtain in the search frequency, obtain searching for the last priority weighting of recommendation word.
The search frequency of word and ageing is recommended below to search for.
Ageing, refer to search for the search temperature of recommending word.Search recommends the ageing of word can add up via the whole network search/concern number of times analysis acquisition that word is recommended in this search.Such as certain large-scale amusement reality TV show program was divided into for three seasons, and when per season broadcasts, attention rate is higher, and the search temperature of this large-scale amusement reality TV show program can corresponding rising so during this period, and then ageing degree can raise.Broadcast complete after the attention rate of this large-scale amusement reality TV show program can reduce, so its search temperature can corresponding reduction, and then ageing degree can reduce.Therefore, the search frequency of word and the ageing calculating priority level weight that combines are recommended in search, each search can be made to recommend the weight of word more accurate, and then recommend search to recommend word to user more accurately.
When the basis utilizing search frequency calculating priority level weight increases ageing weight, can adopt and utilize the weight similar approach of periodic regularity to calculate.Certainly, also the ageing height of word can be recommended to give different weighted values respectively based on search, then combine the weighted value searched for and recommend base to obtain in the search frequency, obtain searching for the last priority weighting of recommendation word.
Certainly, search recommends the weighted value of word to adjust in real time, and terminal device can search for the ageing of recommendation word described in Real-Time Monitoring, and recommends the priority weighting of the ageing adjustment of word described search recommendation word according to described search.When searching for the ageing rising recommending word, correspondingly can adjust the weighted value that word is recommended in search, recommending the weighted value of word to heighten search.When searching for the ageing reduction recommending word, correspondingly can adjust the weighted value that word is recommended in search, search being recommended the weighted value reduction of word.
After the priority weighting obtaining search recommendation word, then word can be recommended to sort according to priority weighting to search, and recommend in hurdle in search according to sequencing display.
Search recommends hurdle can be arranged on the below of the search entrance that navigation page provides, and is convenient to user and clicks.Certainly, search recommends hurdle also can be arranged on other places (such as searching for the top of entrance) of search entrance, recommends the position the present invention on hurdle not limit for search.
The search that search is recommended to be arranged in front in hurdle (such as the first five) recommends word directly can be presented at the below of search entrance, other search recommend word to be then hidden in search recommendation hurdle, and recommend hurdle arranges button in search, other search of show or hide can recommend word by this button of user operation.
S4, when detecting that described unique user recommends the trigger action of word to described search, obtaining described search and recommends search results pages corresponding to word and feed back to described unique user.
After search recommendation word being presented at search and recommending the display position on hurdle, user can recommend word according to the search shown in the demand click search recommendation hurdle of oneself, and then gets search results pages corresponding to search recommendation word.Search results pages is the webpage that terminal device recommends word search to obtain according to search.
It is more than the recommend method for navigation page search keyword of the present invention, obtain unique user carrys out digging user historical search behavior at the search keyword record that the search entrance that browser navigation page provides inputs, then described search keyword record is analyzed, judge whether described search keyword meets pre-conditioned; Word is recommended as search using meeting described pre-conditioned search keyword, and described search recommended the word search be presented on described navigation page to recommend to recommend described unique user in hurdle, when detecting that described unique user recommends the trigger action of word to described search, just directly can obtain described search recommends search results pages corresponding to word to feed back to described unique user, do not need again to input at search box to lose time, the time of retrieval can be shortened, improve effectiveness of retrieval.
In a further embodiment, except search keyword, related term can also be recommended by active obtaining with the search that search recommends word to be associated, and described search recommended word and described search to recommend related term to be presented in the lump in described search recommendation hurdle to recommend user, under request in person and see concrete analysis.
Related term is recommended in search, is to recommend word at the related search keyword of tool with searching for.Both can be correlated with in the meaning of a word, or both have default incidence relation etc.Therefore, obtain and the described search recommendation related term searched for recommendation word and be associated, comprising:
Recommend the meaning of a word degree of correlation of word based on described search, determine the search recommendation related term recommending word relevant with described search.For example, if search recommends word to be " aircraft carrier ", then can analyze the meaning of a word of " aircraft carrier ", then provide the search identical or similar with " aircraft carrier " meaning of a word to recommend related term, such as " aircraft carrier ", " aircraft carrier " etc.
And/or,
Based on the historical search behavioral data of multiple user, to obtain and described search recommends word to have other search keywords of default incidence relation, using described other search keywords with default incidence relation as described search recommendation related term.Preset incidence relation, represent that search is recommended word and searches for the correlation degree recommended between related term.After search recommendation word is determined, other search keywords related with its tool can be counted based on the historical search behavioral data of multiple user (such as the whole network search behavior data).As a kind of possible embodiment, because other search keywords and search recommend word to have correlation degree, selectivity recommendation can be carried out according to correlation degree to other search keywords.For example, if search recommends word to be " aircraft carrier ", can add up based on the search behavior data of the whole network, count other search keywords of " Chinese aircraft carrier ", " Liaoning number ", " guided missile ", " destroyer " etc., and it can be used as search to recommend related term.
When showing described search and recommending word and described search recommendation related term, can preferentially recommend in hurdle, to recommend search recommendation word in search.Concrete embodiment is: first judge that described search is recommended the number of word whether to be less than described search and recommended number reserved in hurdle; If described search recommends the number of word to be less than the described position number searched in recommendation hurdle, preferentially recommend word to be presented in described recommendation hurdle described search, and recommend search recommendation related term described in remaining position display in hurdle in described search.
And described recommend search described in remaining position display in hurdle to recommend related term in described search time, need first to calculate the weighted value that related term is recommended in described search; Then recommend the weighted value of related term to recommend related term to be presented at described search successively described search according to described search and recommend remaining position in hurdle.When calculating search and recommending the weighted value of related term, can according to the calculating that the search frequency of related term itself, search cycle property rule are recommended in search, ageing etc. parameter carries out weighted value.In addition, when calculating weight, also search can be recommended related term and search to recommend the correlation degree between word to consider wherein, repeating no more in this present invention.
Be more than that search recommends the number of word to be less than described way of searching for when recommending number reserved in hurdle, in another kind of embodiment, described search can be recommended word and described search to recommend related term to be presented in proportion in described search recommendation hurdle.
Search recommends word and search to recommend the ratio of related term to arrange arbitrarily, is certainly also included within search and recommends a display search in the display position on hurdle to recommend the situation of word or search recommendation related term.
Be more than the embodiment for the recommend method of navigation page search keyword in the embodiment of the present invention, based on same inventive concept, the following examples specifically introduce a kind of terminal device.
Please refer to Fig. 2, describe a kind of structural representation of terminal device, comprising:
First obtains module 21, for obtaining the search keyword record that unique user inputs at the search entrance that browser navigation page provides;
Analysis module 22, for analyzing described search keyword record, judges whether described search keyword meets pre-conditioned;
First display module 23, for recommending word using meeting described pre-conditioned search keyword as search, and recommends the word search be presented on described navigation page to recommend to recommend described unique user in hurdle by described search;
Feedback module 24, for when detecting that described unique user recommends the trigger action of word to described search, obtaining described search and recommends search results pages corresponding to word and feed back to described unique user.
As a kind of optional embodiment, described search is recommended word to comprise and is often searched word,
Described analysis module 22, specifically for analyzing described search keyword record, judges whether described search keyword meets the search frequency or frequency preset in preset time range;
Described first display module 23, specifically for the search keyword by meeting the described preset search frequency or frequency, often searches word as described.
As a kind of optional embodiment, described search recommends word to comprise supplementary word,
Described analysis module 22, specifically for analyzing described search keyword record, judges whether described search keyword has periodically search law;
Described first display module 23, specifically for using the search keyword of satisfied periodicity search law as described supplementary word.
As a kind of optional embodiment, described first display module 23, specifically comprises:
First determination module, at least recommending the search frequency of word or frequency to determine based on described search, the priority weighting of word is recommended in described search;
Second determination module, for recommending the priority weighting of word according to described search, determines that described search recommends word to search for described the display position recommended in hurdle.
As a kind of optional embodiment, described first determination module, also for recommending the ageing of word and/or described search to recommend the periodicity of word based on described search, determines that the priority weighting of word is recommended in described search.
As a kind of optional embodiment, described terminal device also comprises:
Monitoring modular, recommends the ageing of word for search described in Real-Time Monitoring, and recommends the described search of the ageing adjustment of word to recommend the priority weighting of word according to described search.
As a kind of optional embodiment, described terminal device also comprises:
Second obtains module, recommends related term for obtaining the search recommending word to be associated with described search;
Second display module, recommends related term to be presented at described search in the lump for described search being recommended word and described search and recommends in hurdle.
As a kind of optional embodiment, described second obtains module, specifically for:
Recommend the meaning of a word degree of correlation of word based on described search, determine the search recommendation related term recommending word relevant with described search;
And/or,
Based on the historical search behavioral data of multiple user, to obtain and described search recommends word to have other search keywords of default incidence relation, using described other search keywords with default incidence relation as described search recommendation related term.
As a kind of optional embodiment, described second obtains module, specifically, for judging that described search is recommended the number of word whether to be less than described search and recommended number reserved in hurdle;
Described second display module, if recommend the number of word to be less than the described position number searched in recommendation hurdle for described search, preferentially recommend word to be presented in described recommendation hurdle described search, and recommend search described in remaining position display in hurdle to recommend related term in described search.
As a kind of optional embodiment, described second display module, specifically comprises:
Computing module, recommends the weighted value of related term for calculating described search;
Described second display module, also recommends remaining position in hurdle for recommending the weighted value of related term to recommend related term to be presented at described search successively described search according to described search.
As a kind of optional embodiment, described second display module, also recommends in hurdle for described search being recommended word and described search to recommend related term to be presented at described search in proportion.
By one or more embodiment of the present invention, the present invention has following beneficial effect or advantage:
The invention discloses a kind of recommend method for navigation page search keyword and terminal device, first the method obtains unique user carrys out digging user historical search behavior at the search keyword record that the search entrance that browser navigation page provides inputs, then described search keyword record is analyzed, judge whether described search keyword meets pre-conditioned; Word is recommended as search using meeting described pre-conditioned search keyword, and described search recommended the word search be presented on described navigation page to recommend to recommend described unique user in hurdle, when detecting that described unique user recommends the trigger action of word to described search, just directly can obtain described search recommends search results pages corresponding to word to feed back to described unique user, do not need again to input at search box to lose time, the time of retrieval can be shortened, improve effectiveness of retrieval.
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 to comprise in other embodiment some included feature instead of further feature in this some embodiments, 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 the some or all functions that microprocessor or digital signal processor (DSP) can be used in practice to realize the some or all parts in gateway according to the embodiment of the present invention, proxy server, system.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 provides: A1, a kind of recommend method for navigation page search keyword, it is characterized in that, described method comprises:
Obtain the search keyword record that unique user inputs at the search entrance that browser navigation page provides;
Described search keyword record is analyzed, judges whether described search keyword meets pre-conditioned;
Recommend word using meeting described pre-conditioned search keyword as search, and described search recommended the word search be presented on described navigation page to recommend to recommend described unique user in hurdle;
When detecting that described unique user recommends the trigger action of word to described search, obtaining described search and recommend search results pages corresponding to word and feed back to described unique user.
A2, method as described in A1, is characterized in that, described search is recommended word to comprise and often searched word,
Described search keyword record to be analyzed, judges whether described search keyword meets and pre-conditionedly specifically to comprise:
Described search keyword record is analyzed, judges whether described search keyword meets the search frequency or frequency preset in preset time range;
Described will meet described pre-conditioned search keyword as search recommend word, specifically comprise:
By meeting the search keyword of the described preset search frequency or frequency, often search word as described.
A3, method as described in A1 or A2, is characterized in that, described search recommends word to comprise supplementary word,
Described search keyword record to be analyzed, judges whether described search keyword meets and pre-conditionedly specifically to comprise:
Described search keyword record is analyzed, judges whether described search keyword has periodically search law;
Described will meet described pre-conditioned search keyword as search recommend word, specifically comprise:
Using the search keyword of satisfied periodicity search law as described supplementary word.
A4, method as described in claim as any in A1-A3, is characterized in that, describedly described search recommended the word search be presented on described navigation page to recommend to recommend described unique user in hurdle, specifically comprises:
The priority weighting of word is recommended in described search at least to recommend the search frequency of word or frequency to determine based on described search;
Recommend the priority weighting of word according to described search, determine that described search recommends word to search for described the display position recommended in hurdle.
A5, method as described in A4, is characterized in that, described at least recommend the search frequency of word or frequency to determine based on described search the priority weighting of word is recommended in described search, also comprise:
Recommend the ageing of word and/or described search to recommend the periodicity of word based on described search, determine that the priority weighting of word is recommended in described search.
A6, method as described in A5, is characterized in that, at the described priority weighting recommending word according to described search, determine that described search recommends word after the display position in hurdle is recommended in described search, described method also comprises:
The ageing of word is recommended in search described in Real-Time Monitoring, and recommends the described search of the ageing adjustment of word to recommend the priority weighting of word according to described search.
A7, method as described in A1, is characterized in that, will meet described pre-conditioned search keyword as after word is recommended in search described, described method also comprises:
Obtain and the described search recommendation related term searched for recommendation word and be associated, and described search recommended word and described search to recommend related term to be presented in the lump in described search recommendation hurdle.
A8, method as described in A7, is characterized in that, the search that described acquisition and described search recommend word to be associated recommends related term to comprise:
Recommend the meaning of a word degree of correlation of word based on described search, determine the search recommendation related term recommending word relevant with described search;
And/or,
Based on the historical search behavioral data of multiple user, to obtain and described search recommends word to have other search keywords of default incidence relation, using described other search keywords with default incidence relation as described search recommendation related term.
A9, method as described in A7 or A8, is characterized in that, describedly described search recommended word and described search to recommend related term to be presented in the lump in described search recommendation hurdle, specifically comprises:
Judge that described search is recommended the number of word whether to be less than described search and recommended number reserved in hurdle;
If described search recommends the number of word to be less than the described position number searched in recommendation hurdle, preferentially recommend word to be presented in described recommendation hurdle described search, and recommend search recommendation related term described in remaining position display in hurdle in described search.
A10, method as described in A9, is characterized in that, describedly recommends search described in remaining position display in hurdle to recommend related term in described search, specifically comprises:
Calculate the weighted value that related term is recommended in described search;
Recommend the weighted value of related term to recommend related term to be presented at described search successively described search according to described search and recommend remaining position in hurdle.
A11, method as described in A7, is characterized in that, describedly described search recommended word and described search to recommend related term to be presented in the lump in described search recommendation hurdle, specifically comprises:
Described search recommended word and described search to recommend related term to be presented at described search in proportion to recommend in hurdle.
B12, a kind of terminal device, is characterized in that, comprising:
First obtains module, for obtaining the search keyword record that unique user inputs at the search entrance that browser navigation page provides;
Analysis module, for analyzing described search keyword record, judges whether described search keyword meets pre-conditioned;
First display module, for recommending word using meeting described pre-conditioned search keyword as search, and recommends the word search be presented on described navigation page to recommend to recommend described unique user in hurdle by described search;
Feedback module, for when detecting that described unique user recommends the trigger action of word to described search, obtaining described search and recommends search results pages corresponding to word and feed back to described unique user.
B13, terminal device as described in B12, is characterized in that, described search is recommended word to comprise and often searched word,
Described analysis module, specifically for analyzing described search keyword record, judges whether described search keyword meets the search frequency or frequency preset in preset time range;
Described first display module, specifically for the search keyword by meeting the described preset search frequency or frequency, often searches word as described.
B14, terminal device as described in B12 or B13, is characterized in that, described search recommends word to comprise supplementary word,
Described analysis module, specifically for analyzing described search keyword record, judges whether described search keyword has periodically search law;
Described first display module, specifically for using the search keyword of satisfied periodicity search law as described supplementary word.
B15, terminal device as described in claim as any in B12-B14, it is characterized in that, described first display module, specifically comprises:
First determination module, at least recommending the search frequency of word or frequency to determine based on described search, the priority weighting of word is recommended in described search;
Second determination module, for recommending the priority weighting of word according to described search, determines that described search recommends word to search for described the display position recommended in hurdle.
B16, terminal device as described in B15, is characterized in that, described first determination module, also for recommending the ageing of word and/or described search to recommend the periodicity of word based on described search, determines that the priority weighting of word is recommended in described search.
B17, terminal device as described in B16, it is characterized in that, described terminal device also comprises:
Monitoring modular, recommends the ageing of word for search described in Real-Time Monitoring, and recommends the described search of the ageing adjustment of word to recommend the priority weighting of word according to described search.
B18, terminal device as described in B12, it is characterized in that, described terminal device also comprises:
Second obtains module, recommends related term for obtaining the search recommending word to be associated with described search;
Second display module, recommends related term to be presented at described search in the lump for described search being recommended word and described search and recommends in hurdle.
B19, terminal device as described in B18, is characterized in that, described second obtains module, specifically for:
Recommend the meaning of a word degree of correlation of word based on described search, determine the search recommendation related term recommending word relevant with described search;
And/or,
Based on the historical search behavioral data of multiple user, to obtain and described search recommends word to have other search keywords of default incidence relation, using described other search keywords with default incidence relation as described search recommendation related term.
B20, terminal device as described in B18 or B19, is characterized in that,
Described second obtains module, specifically, for judging that described search is recommended the number of word whether to be less than described search and recommended number reserved in hurdle;
Described second display module, if recommend the number of word to be less than the described position number searched in recommendation hurdle for described search, preferentially recommend word to be presented in described recommendation hurdle described search, and recommend search described in remaining position display in hurdle to recommend related term in described search.
B21, terminal device as described in B20, it is characterized in that, described second display module, specifically comprises:
Computing module, recommends the weighted value of related term for calculating described search;
Described second display module, also recommends remaining position in hurdle for recommending the weighted value of related term to recommend related term to be presented at described search successively described search according to described search.
B22, terminal device as described in B18, is characterized in that, described second display module, also for described search being recommended word and described search to recommend related term to be presented in proportion in described search recommendation hurdle.
Claims (10)
1., for a recommend method for navigation page search keyword, it is characterized in that, described method comprises:
Obtain the search keyword record that unique user inputs at the search entrance that browser navigation page provides;
Described search keyword record is analyzed, judges whether described search keyword meets pre-conditioned;
Recommend word using meeting described pre-conditioned search keyword as search, and described search recommended the word search be presented on described navigation page to recommend to recommend described unique user in hurdle;
When detecting that described unique user recommends the trigger action of word to described search, obtaining described search and recommend search results pages corresponding to word and feed back to described unique user.
2. the method for claim 1, is characterized in that, described search is recommended word to comprise and often searched word,
Described search keyword record to be analyzed, judges whether described search keyword meets and pre-conditionedly specifically to comprise:
Described search keyword record is analyzed, judges whether described search keyword meets the search frequency or frequency preset in preset time range;
Described will meet described pre-conditioned search keyword as search recommend word, specifically comprise:
By meeting the search keyword of the described preset search frequency or frequency, often search word as described.
3. method as claimed in claim 1 or 2, is characterized in that, described search recommends word to comprise supplementary word,
Described search keyword record to be analyzed, judges whether described search keyword meets and pre-conditionedly specifically to comprise:
Described search keyword record is analyzed, judges whether described search keyword has periodically search law;
Described will meet described pre-conditioned search keyword as search recommend word, specifically comprise:
Using the search keyword of satisfied periodicity search law as described supplementary word.
4. the method as described in claim as any in claim 1-3, is characterized in that, recommends described unique user, specifically comprise in the described search recommendation hurdle be presented at by described search recommendation word on described navigation page:
The priority weighting of word is recommended in described search at least to recommend the search frequency of word or frequency to determine based on described search;
Recommend the priority weighting of word according to described search, determine that described search recommends word to search for described the display position recommended in hurdle.
5. method as claimed in claim 4, is characterized in that, described at least recommend the search frequency of word or frequency to determine based on described search the priority weighting of word is recommended in described search, also comprise:
Recommend the ageing of word and/or described search to recommend the periodicity of word based on described search, determine that the priority weighting of word is recommended in described search.
6. method as claimed in claim 5, is characterized in that, at the described priority weighting recommending word according to described search, determine that described search recommends word after the display position in hurdle is recommended in described search, described method also comprises:
The ageing of word is recommended in search described in Real-Time Monitoring, and recommends the described search of the ageing adjustment of word to recommend the priority weighting of word according to described search.
7. the method for claim 1, is characterized in that, recommend meeting described pre-conditioned search keyword after word as search described, described method also comprises:
Obtain and the described search recommendation related term searched for recommendation word and be associated, and described search recommended word and described search to recommend related term to be presented in the lump in described search recommendation hurdle.
8. method as claimed in claim 7, is characterized in that, the search that described acquisition and described search recommend word to be associated recommends related term to comprise:
Recommend the meaning of a word degree of correlation of word based on described search, determine the search recommendation related term recommending word relevant with described search;
And/or,
Based on the historical search behavioral data of multiple user, to obtain and described search recommends word to have other search keywords of default incidence relation, using described other search keywords with default incidence relation as described search recommendation related term.
9. method as claimed in claim 7 or 8, is characterized in that, described word and the described search recommendation related term described search recommended is presented in described search recommendation hurdle in the lump, specifically comprises:
Judge that described search is recommended the number of word whether to be less than described search and recommended number reserved in hurdle;
If described search recommends the number of word to be less than the described position number searched in recommendation hurdle, preferentially recommend word to be presented in described recommendation hurdle described search, and recommend search recommendation related term described in remaining position display in hurdle in described search.
10. a terminal device, is characterized in that, comprising:
First obtains module, for obtaining the search keyword record that unique user inputs at the search entrance that browser navigation page provides;
Analysis module, for analyzing described search keyword record, judges whether described search keyword meets pre-conditioned;
First display module, for recommending word using meeting described pre-conditioned search keyword as search, and recommends the word search be presented on described navigation page to recommend to recommend described unique user in hurdle by described search;
Feedback module, for when detecting that described unique user recommends the trigger action of word to described search, obtaining described search and recommends search results pages corresponding to word and feed back to described unique user.
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