CN105528456B - Search interface methods of exhibiting and device based on user type - Google Patents
Search interface methods of exhibiting and device based on user type Download PDFInfo
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- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
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- G06F16/9535—Search customisation based on user profiles and personalisation
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Abstract
The invention discloses a kind of search interface methods of exhibiting and device based on user type, it is related to search technique field, the present invention determines the user type of the user according to local cookie record, various types of search recommendation corresponding with the user type is determined based on the user type, the various types of search recommendation is subjected to pattern integration and is loaded onto the embedded recommendation window of search interface, the search interface of window is recommended to be shown described be embedded with, so as to provide the search recommendation of multiple types according to user type, so that search recommendation can satisfy the search need of more users, to make more users reduce input cost, so that user can also find the content needed for oneself without typewriting, improve user experience.
Description
Technical field
The present invention relates to search technique field, in particular to a kind of search interface methods of exhibiting and dress based on user type
It sets.
Background technique
Behavior of the user after entering searched page, is generally divided into two kinds: first is that purposive accurate demand, passes through search
Frame carries out demand lookup, and another kind is exactly no purpose search behavior.No matter any search behavior, user search when all
It needs successively to carry out by the interaction of keyboard and mouse according to step.
When carrying out purposive search need due to certain customers, there is certain regularity, periodicity, searched for common
Rigging has repeatability, and a greater amount of users will do it random search behavior and with more randomness, timeliness.
But no matter the search engine of the prior art only shows a kind of recommendation information for which kind of user in searched page,
So that recommendation information is unable to satisfy the search need of certain customers, cause the user experience of the certain customers poor.
Summary of the invention
In view of the above problems, it proposes on the present invention overcomes the above problem or at least be partially solved in order to provide one kind
State a kind of search interface methods of exhibiting and device based on user type of problem.
According to one aspect of the present invention, a kind of search interface methods of exhibiting based on user type, the side are provided
Method includes:
In response to the search interface enabled instruction of user's triggering, local cookie record is obtained, according to the local
Cookie record determines the user type of the user；
Various types of search recommendation corresponding with the user type is determined based on the user type；
The various types of search recommendation is subjected to pattern integration and is loaded onto the embedded recommendation window of search interface
In, recommend the search interface of window to be shown described be embedded with.
Optionally, the user type that the user is determined according to local cookie record further comprises:
Search term in local cookie record is clustered, the user of the user is determined according to cluster result
Type.
Optionally, the user type that the user is determined according to cluster result further comprises:
Whether judge has quantity in the cluster result be more than the search term type of preset quantity, is more than default having
When the search term type of quantity, assert that the user type of the user is the first kind；
Correspondingly, described to be determined in various types of search recommendation corresponding with the user type based on the user type
Hold, further comprise:
When the user type is the first kind, current popular information is grabbed, is obtained according to the local cookie
Recommend search term, and the popular information of crawl, the recommendation search term extracted and search term type more than preset quantity are pushed away
Information is recommended as various types of search recommendation corresponding with the user type.
Optionally, it is described judge in the cluster result whether with quantity be more than preset quantity search term type it
Afterwards, the method also includes:
When not having the search term type more than preset quantity, assert that the user type of the user is Second Type；
Correspondingly, described to be determined in various types of search recommendation corresponding with the user type based on the user type
Hold, further comprise:
When the user type is Second Type, current popular information is grabbed, is obtained according to the local cookie
Recommend search term, and using the popular information of crawl and the recommendation search term of extraction as corresponding with the user type various types of
Search recommendation.
Optionally, described obtained according to the local cookie recommends search term, further comprises:
The search term that search word frequency is more than default word frequency is extracted from the local cookie, and the search term of extraction is made
To recommend search term；
And/or
The search term that search word frequency is more than default word frequency, lookup and the search term extracted are extracted from the local cookie
Relevant expansion word, and using the expansion word of lookup as recommendation search term.
Optionally, described to carry out pattern integration by the various types of search recommendation and be loaded onto search interface to embed
Recommendation window in, further comprise:
Corresponding entry element is generated respectively for described search recommendation, and the entry element of generation is subjected to pattern integration
And it is loaded onto the embedded recommendation window of searched page.
Optionally, it is described to it is described be embedded with recommend window search interface be shown after, the method also includes:
An entry element in the recommendation window is triggered in response to user, is pushed away according to the corresponding search of the entry element
Content is recommended to scan for.
Optionally, it is described scanned for according to the corresponding search recommendation of the entry element after, the method is also wrapped
It includes:
Search result items relevant to the search recommendation are shown in the newly-built page or described search interface.
According to another aspect of the invention, a kind of search interface displaying device based on user type is provided, it is described
Device includes:
Type determiner is adapted for the search interface enabled instruction of user's triggering, obtains local cookie record, root
The user type of the user is determined according to local cookie record；
Content determinator, suitable for determining that various types of search corresponding with the user type pushes away based on the user type
Recommend content；
Display device is loaded, suitable for the various types of search recommendation is carried out pattern integration and is loaded onto search interface
In embedded recommendation window, the search interface of window is recommended to be shown described be embedded with.
Optionally, the type determiner, the search term being further adapted in recording to the local cookie gather
Class determines the user type of the user according to cluster result.
Optionally, the type determiner, it is more than pre- that whether be further adapted for judging in the cluster result, which has quantity,
If the search term type of quantity, when having the search term type more than preset quantity, assert that the user type of the user is
The first kind；
Correspondingly, the content determinator is further adapted for grabbing current when the user type is the first kind
Popular information obtains according to the local cookie and recommends search term, and by the popular information of crawl, the recommendation search term of extraction
Recommend with the recommendation information for the search term type for being more than preset quantity as various types of search corresponding with the user type
Content.
Optionally, the type determiner is further adapted for recognizing when not having the search term type more than preset quantity
The user type of the fixed user is Second Type；
Correspondingly, the content determinator is further adapted for grabbing current when the user type is Second Type
Popular information obtains according to the local cookie and recommends search term, and the recommendation of the popular information of crawl and extraction is searched for
Word is as various types of search recommendation corresponding with the user type.
Optionally, the content determinator is further adapted for extracting search word frequency from the local cookie being more than pre-
If the search term of word frequency, and using the search term of extraction as recommendation search term；
And/or
The search term that search word frequency is more than default word frequency, lookup and the search term extracted are extracted from the local cookie
Relevant expansion word, and using the expansion word of lookup as recommendation search term.
Optionally, the load display device is further adapted for described search recommendation and generates corresponding entrance respectively
The entry element of generation is carried out pattern integration and is loaded onto the embedded recommendation window of searched page by element.
Optionally, described device further include:
Search trigger device is adapted for user and triggers the entry element recommended in window, according to the entrance
The corresponding search recommendation of element scans for.
Optionally, described device further include:
As a result display device, suitable for showing that search recommendation is relevant searches to this in the newly-built page or described search interface
Rope result items.
The present invention determines the user type of the user according to local cookie record, based on the user type determine with
The various types of search recommendation is carried out pattern integration by the corresponding various types of search recommendation of the user type
And be loaded onto the embedded recommendation window of search interface, recommend the search interface of window to be shown described be embedded with, thus
The search recommendation of multiple types can be provided according to user type, so that search recommendation can satisfy more users
Search need, thus reduce more users by input cost, so that user can also find the content needed for oneself without typewriting,
Improve user experience.
Detailed description of the invention
By reading the following detailed description of the preferred embodiment, various other advantages and benefits are common for this field
Technical staff will become clear.The drawings are only for the purpose of illustrating a preferred embodiment, and is not considered as to the present invention
Limitation.And throughout the drawings, the same reference numbers will be used to refer to the same parts.In the accompanying drawings:
Fig. 1 is the flow chart of the search interface methods of exhibiting based on user type of one embodiment of the present invention；
Fig. 2 is the flow chart of the search interface methods of exhibiting based on user type of one embodiment of the present invention；
Fig. 3 is the flow chart of the search interface methods of exhibiting based on user type of one embodiment of the present invention；
Fig. 4 is that the search interface based on user type of one embodiment of the present invention shows the structural block diagram of device.
Specific embodiment
With reference to the accompanying drawings and examples, specific embodiments of the present invention will be described in further detail.Implement below
Example is not intended to limit the scope of the invention for illustrating the present invention.
Fig. 1 is the flow chart of the search interface methods of exhibiting based on user type of one embodiment of the present invention；Reference
Fig. 1, which comprises
S101: in response to the search interface enabled instruction of user's triggering, local cookie record is obtained, according to the local
Cookie record determines the user type of the user；
It should be noted that the executing subject of the method for present embodiment is terminal, the terminal is mobile phone, plate electricity
The equipment such as brain, palm PC PDA or notebook can be also certainly other equipment with identity function, present embodiment is to this
It is without restriction.
In the concrete realization, local cookie record is the cookie record in the terminal.
It will be appreciated that user, which triggers search interface enabled instruction, to be inputted in several ways, and such as: pass through mouse point
The default starting element in display interface is hit, or, clicking the default starting on showing the touch screen for having default starting element
Element, present embodiment are without restriction to this.
S102: various types of search recommendation corresponding with the user type is determined based on the user type；
It will be appreciated that in order to reduce the input cost of user as far as possible, corresponding different types of search can be provided a user
Rope recommendation, so, search recommendation corresponding with the user type is the search recommendation for including multiple types.
S103: the various types of search recommendation is subjected to pattern integration and is loaded onto the embedded recommendation of search interface
In window, the search interface of window is recommended to be shown described be embedded with.
It should be noted that being various types of search recommendation due to obtaining search recommendation, if being directly integrated into
Recommend to make to recommend the content in window mixed and disorderly in window, so, it can be first by the various types of search in present embodiment
Recommendation carries out pattern integration, to avoid recommending the content in window mixed and disorderly.
It will be appreciated that the various types of search recommendation is subjected to pattern integration, it can be by different types of search
Recommendation is integrated into different zones, consequently facilitating user selects, certainly, other modes also can be used and carry out pattern integration, this
Embodiment is without restriction to this.
Present embodiment determines the user type of the user according to local cookie record, true based on the user type
The various types of search recommendation is carried out pattern by fixed various types of search recommendation corresponding with the user type
It integrates and is loaded onto the embedded recommendation window of search interface, recommend the search interface of window to be shown described be embedded with,
So as to provide the search recommendation of multiple types according to user type, so that search recommendation can satisfy more use
The search need at family, to make more users reduce input cost, so that user is not necessarily to typewrite needed for can also finding oneself
Content improves user experience.
Fig. 2 is the flow chart of the search interface methods of exhibiting based on user type of one embodiment of the present invention；Reference
Fig. 2, which comprises
S201: in response to the search interface enabled instruction of user's triggering, local cookie record is obtained, to the local
Search term in cookie record is clustered, and the user type of the user is determined according to cluster result；
In present embodiment, when determining the user type of the user according to cluster result, the cluster knot can determine whether
Whether the search term type with quantity more than preset quantity is recognized when having the search term type more than preset quantity in fruit
The user type of the fixed user is the first kind (i.e. periodical search need type).
When not having the search term type more than preset quantity, assert that the user type of the user is Second Type
(i.e. aperiodicity search need type).
S202: various types of search recommendation corresponding with the user type is determined based on the user type；
In the concrete realization, for the user of aperiodicity search need type, in order to excavate as far as possible and its phase
The search recommendation of pass in present embodiment, can grab current popular information, obtained and recommended according to the local cookie
Search term, and the popular information of crawl and the recommendation search term extracted are searched as corresponding with the user type various types of
Rope recommendation.
It can be identified to be edited news by NLP algorithm to hot topic it should be noted that grabbing current popular information
Text news certainly can also be without restriction to this for other informations, present embodiments such as top search terms.
Recommend search term it will be appreciated that obtaining according to the local cookie, can be extracted from the local cookie
The search term that word frequency is more than default word frequency is searched for, and using the search term of extraction as recommendation search term, that is to say, that can be from local
High frequency search term is extracted in cookie, and using the high frequency search term of extraction as recommendation search term；
But due in high frequency search term may also and be not present search term relevant to user's search need, in order to further
The search behavior for predicting user, in present embodiment, it is more than to preset that search word frequency can be also first extracted from the local cookie
The search term of word frequency, search with the relevant expansion word of search term that extracts, and using the expansion word of lookup as recommendation search term, by
In using expansion word as recommend search term, so as to meet the search need of user more fully hereinafter.
It should be noted that can belong in periodically inputting for the user of periodical search need type
The search term of one or more search term types (such as: novel, stock, TV play, lottery ticket or game), so, for this
The user of user type on the basis of the recommendation determined by the user to aperiodicity search need type, increases super
The recommendation information of the search term type of preset quantity is crossed, to meet the need of the user of periodical search need type as far as possible
It asks.
When using the search term type more than preset quantity as TV play, at this point, can be related according to the search term type search
Recommendation information, such as: the game fourth season of right can add to understand its more new state convenient for user in the recommendation information
Add more new state.
S203: the various types of search recommendation is subjected to pattern integration and is loaded onto the embedded recommendation of search interface
In window, the search interface of window is recommended to be shown described be embedded with.
Step S203 is identical as the step S103 of embodiment shown in FIG. 1, and details are not described herein.
Fig. 3 is the flow chart of the search interface methods of exhibiting based on user type of one embodiment of the present invention；Reference
Fig. 3, which comprises
S301: in response to the search interface enabled instruction of user's triggering, local cookie record is obtained, according to the local
Cookie record determines the user type of the user；
S302: various types of search recommendation corresponding with the user type is determined based on the user type；
Step S301~S302 is identical as step S101~S102 of embodiment shown in FIG. 1, and details are not described herein.
S303: generating corresponding entry element for described search recommendation respectively, and the entry element of generation is carried out sample
Formula is integrated and is loaded onto the embedded recommendation window of searched page, recommends the search interface of window to open up described be embedded with
Show.
It is scanned for it will be appreciated that being based on search recommendation for the ease of user, so, in present embodiment, meeting
Corresponding entry element is generated respectively for described search recommendation, correspondingly, when user triggers an entry element, response
An entry element in the recommendation window is triggered in user, is searched according to the corresponding search recommendation of the entry element
Rope.
It should be noted that the instruction that user triggers an entry element can input in several ways, and such as: pass through mouse
Punctuate hits the entry element in described search interface, or, clicking the entrance on showing the touch screen for having the search interface
Element, present embodiment are without restriction to this.
For that in present embodiment, can be opened up in the newly-built page or described search interface convenient for being shown to search result
Show search result items relevant to the search recommendation.
For embodiment of the method, for simple description, therefore, it is stated as a series of action combinations, but this field
Technical staff should be aware of, and embodiment of that present invention are not limited by the describe sequence of actions, because implementing according to the present invention
Example, some steps may be performed in other sequences or simultaneously.Secondly, those skilled in the art should also know that, specification
Described in embodiment belong to preferred embodiment, the actions involved are not necessarily necessary for embodiments of the present invention.
Fig. 4 is that the search interface based on user type of one embodiment of the present invention shows the structural block diagram of device；Ginseng
According to Fig. 4, described device includes:
Type determiner 401 is adapted for the search interface enabled instruction of user's triggering, obtains local cookie note
Record determines the user type of the user according to local cookie record；
Content determinator 402, suitable for determining corresponding with the user type various types of search based on the user type
Rope recommendation；
Display device 403 is loaded, suitable for the various types of search recommendation is carried out pattern integration and is loaded onto search
In the embedded recommendation window in interface, the search interface of window is recommended to be shown described be embedded with.
In an alternative embodiment of the invention, the type determiner is further adapted for the local cookie
Search term in record is clustered, and the user type of the user is determined according to cluster result.
In an alternative embodiment of the invention, the type determiner is further adapted for judging the cluster result
In whether with quantity be more than preset quantity search term type, have more than preset quantity search term type when, assert
The user type of the user is the first kind；
Correspondingly, the content determinator is further adapted for grabbing current when the user type is the first kind
Popular information obtains according to the local cookie and recommends search term, and by the popular information of crawl, the recommendation search term of extraction
Recommend with the recommendation information for the search term type for being more than preset quantity as various types of search corresponding with the user type
Content.
In an alternative embodiment of the invention, the type determiner is further adapted for not having being more than default
When the search term type of quantity, assert that the user type of the user is Second Type；
Correspondingly, the content determinator is further adapted for grabbing current when the user type is Second Type
Popular information obtains according to the local cookie and recommends search term, and the recommendation of the popular information of crawl and extraction is searched for
Word is as various types of search recommendation corresponding with the user type.
In an alternative embodiment of the invention, the content determinator is further adapted for from the local cookie
It is middle to extract the search term that search word frequency is more than default word frequency, and using the search term of extraction as recommendation search term；
And/or
The search term that search word frequency is more than default word frequency, lookup and the search term extracted are extracted from the local cookie
Relevant expansion word, and using the expansion word of lookup as recommendation search term.
In an alternative embodiment of the invention, the load display device is further adapted in described search recommendation
Appearance generates corresponding entry element respectively, and the entry element of generation is carried out pattern integration and is loaded onto that searched page is embedded to be pushed away
It recommends in window.
In an alternative embodiment of the invention, described device further include:
Search trigger device is adapted for user and triggers the entry element recommended in window, according to the entrance
The corresponding search recommendation of element scans for.
In an alternative embodiment of the invention, described device further include:
As a result display device, suitable for showing that search recommendation is relevant searches to this in the newly-built page or described search interface
Rope result items.
For device embodiment, since it is basically similar to the method embodiment, related so being described relatively simple
Place illustrates referring to the part of embodiment of the method.
It should be noted that in all parts of the device of the invention, according to the function that it to be realized to therein
Component has carried out logical partitioning, and still, the present invention is not only restricted to this, can according to need all parts are repartitioned or
Person's combination for example, can be single component by some component combinations, or some components can be further broken into more
Subassembly.
Various component embodiments of the invention can be implemented in hardware, or to run on one or more processors
Software module realize, or be implemented in a combination thereof.It will be understood by those of skill in the art that can be used in practice
Microprocessor or digital signal processor (DSP) realize some or all portions in device according to an embodiment of the present invention
The some or all functions of part.The present invention is also implemented as a part or complete for executing method as described herein
The device or device program (for example, computer program and computer program product) in portion.It is such to realize program of the invention
It can store on a computer-readable medium, or may be in the form of one or more signals.Such signal can be with
It downloads from internet website, is perhaps provided on the carrier signal or is provided in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and ability
Field technique personnel can be designed alternative embodiment without departing from the scope of the appended claims.In the claims,
Any reference symbol between parentheses should not be configured to limitations on claims.Word "comprising" does not exclude the presence of not
Element or step listed in the claims.Word "a" or "an" located in front of the element does not exclude the presence of multiple such
Element.The present invention can be by means of including the hardware of several different elements and being come by means of properly programmed computer real
It is existing.In the unit claims listing several devices, several in these devices can be through the same hardware branch
To embody.The use of word first, second, and third does not indicate any sequence.These words can be explained and be run after fame
Claim.
Embodiment of above is only suitable for illustrating the present invention, and not limitation of the present invention, in relation to the common of technical field
Technical staff can also make a variety of changes and modification without departing from the spirit and scope of the present invention, therefore all
Equivalent technical solution also belongs to scope of the invention, and scope of patent protection of the invention should be defined by the claims.
Claims (12)
1. a kind of search interface methods of exhibiting based on user type, which comprises
In response to the search interface enabled instruction of user's triggering, local cookie record is obtained, is remembered according to the local cookie
Record determines the user type of the user；
Various types of search recommendation corresponding with the user type is determined based on the user type；
The various types of search recommendation is subjected to pattern integration and is loaded onto the embedded recommendation window of search interface, it is right
It is embedded with and the search interface of window is recommended to be shown；
Wherein, the user type that the user is determined according to local cookie record further comprises:
Search term in local cookie record is clustered, the user class of the user is determined according to cluster result
Type；
The user type that the user is determined according to cluster result further comprises:
Whether judge has quantity in the cluster result be more than the search term type of preset quantity, is more than preset quantity having
Search term type when, assert the user user type be the first kind；
It is correspondingly, described that various types of search recommendation corresponding with the user type is determined based on the user type,
Further comprise:
When the user type is the first kind, current popular information is grabbed, is obtained and is recommended according to the local cookie
Search term, and by the popular information of crawl, extract recommendation search term and the search term type more than preset quantity recommendation
Breath is as various types of search recommendation corresponding with the user type.
2. the method as described in claim 1, which is characterized in that it is described judge in the cluster result whether with quantity be more than
After the search term type of preset quantity, the method also includes:
When not having the search term type more than preset quantity, assert that the user type of the user is Second Type；
It is correspondingly, described that various types of search recommendation corresponding with the user type is determined based on the user type,
Further comprise:
When the user type is Second Type, current popular information is grabbed, is obtained and is recommended according to the local cookie
Search term, and the popular information of crawl and the recommendation search term extracted are searched as corresponding with the user type various types of
Rope recommendation.
3. the method as described in claim 1, which is characterized in that described obtained according to the local cookie recommends search term,
Further comprise:
Extract the search term that search word frequency is more than default word frequency from the local cookie, and using the search term of extraction as pushing away
Recommend search term；
And/or
The search term that search word frequency is more than default word frequency is extracted from the local cookie, is searched related to the search term extracted
Expansion word, and using the expansion word of lookup as recommend search term.
4. the method as described in claim 1, which is characterized in that described that the various types of search recommendation is carried out pattern
It integrates and is loaded onto the embedded recommendation window of search interface, further comprise:
Corresponding entry element is generated respectively for described search recommendation, and the entry element of generation is subjected to pattern integration and is added
It is loaded onto the embedded recommendation window of searched page.
5. the method as described in claim 1, which is characterized in that the described pair of search interface for being embedded with recommendation window is shown
Later, the method also includes:
An entry element in the recommendation window is triggered in response to user, according in the corresponding search recommendation of the entry element
Appearance scans for.
6. method as claimed in claim 5, which is characterized in that it is described according to the corresponding search recommendation of the entry element into
After row search, the method also includes:
Search result items relevant to the search recommendation are shown in the newly-built page or described search interface.
7. a kind of search interface based on user type shows device, described device includes:
Type determiner is adapted for the search interface enabled instruction of user's triggering, local cookie record is obtained, according to institute
State the user type that local cookie record determines the user；
Content determinator, in determining that various types of search corresponding with the user type is recommended based on the user type
Hold；
Display device is loaded, is embedded suitable for carrying out pattern integration and being loaded onto search interface the various types of search recommendation
Recommendation window in, to be embedded with recommend window search interface be shown；
Wherein, the type determiner, the search term being further adapted in recording to the local cookie cluster, according to
Cluster result determines the user type of the user；
The type determiner, it is more than the search of preset quantity that whether be further adapted for judging in the cluster result, which has quantity,
Part of speech type assert that the user type of the user is the first kind when having the search term type more than preset quantity；
Correspondingly, the content determinator is further adapted for grabbing current hot topic when the user type is the first kind
Information obtains according to the local cookie and recommends search term, and by the popular information of crawl, the recommendation search term of extraction and super
The recommendation information of the search term type of preset quantity is crossed as various types of search recommendation corresponding with the user type.
8. device as claimed in claim 7, which is characterized in that the type determiner, be further adapted for do not have be more than
When the search term type of preset quantity, assert that the user type of the user is Second Type；
Correspondingly, the content determinator is further adapted for grabbing current hot topic when the user type is Second Type
Information obtains according to the local cookie and recommends search term, and the popular information of crawl and the recommendation search term of extraction are made
For various types of search recommendation corresponding with the user type.
9. device as claimed in claim 7, which is characterized in that the content determinator is further adapted for from the local
The search term that search word frequency is more than default word frequency is extracted in cookie, and using the search term of extraction as recommendation search term；
And/or
The search term that search word frequency is more than default word frequency is extracted from the local cookie, is searched related to the search term extracted
Expansion word, and using the expansion word of lookup as recommend search term.
10. device as claimed in claim 7, which is characterized in that the load display device is further adapted for described search and pushes away
It recommends content and generates corresponding entry element respectively, carry out pattern integration by the entry element of generation and be loaded onto searched page to embed
Recommendation window in.
11. device as claimed in claim 7, which is characterized in that described device further include:
Search trigger device is adapted for user and triggers the entry element recommended in window, according to the entry element
Corresponding search recommendation scans for.
12. device as claimed in claim 7, which is characterized in that described device further include:
As a result display device is suitable for showing search knot relevant to the search recommendation in the newly-built page or described search interface
Fruit.
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| CN106021449B (en) * | 2016-05-17 | 2020-01-24 | 北京金山安全软件有限公司 | Searching method and device for mobile terminal and mobile terminal |
| CN108776676B (en) * | 2018-02-02 | 2020-05-05 | 腾讯科技（深圳）有限公司 | Information recommendation method and device, computer readable medium and electronic device |
| CN108984073A (en) * | 2018-07-06 | 2018-12-11 | 北京微播视界科技有限公司 | A kind of searched page display methods, device, terminal and storage medium |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101105795A (en) * | 2006-10-27 | 2008-01-16 | 北京搜神网络技术有限责任公司 | Network behavior based personalized recommendation method and system |
| CN101957834A (en) * | 2010-08-12 | 2011-01-26 | 百度在线网络技术（北京）有限公司 | Content recommending method and device based on user characteristics |
| CN102411577A (en) * | 2010-09-25 | 2012-04-11 | 百度在线网络技术（北京）有限公司 | Method and equipment for analyzing generalization keywords based on benchmark |
| CN103324645A (en) * | 2012-03-23 | 2013-09-25 | 腾讯科技（深圳）有限公司 | Method and device for recommending webpage |
| CN103914543A (en) * | 2014-04-03 | 2014-07-09 | 北京百度网讯科技有限公司 | Search result displaying method and device |
| CN104572853A (en) * | 2014-12-17 | 2015-04-29 | 百度在线网络技术（北京）有限公司 | Searching method and searching device |
-
2015
- 2015-12-25 CN CN201510998215.1A patent/CN105528456B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101105795A (en) * | 2006-10-27 | 2008-01-16 | 北京搜神网络技术有限责任公司 | Network behavior based personalized recommendation method and system |
| CN101957834A (en) * | 2010-08-12 | 2011-01-26 | 百度在线网络技术（北京）有限公司 | Content recommending method and device based on user characteristics |
| CN102411577A (en) * | 2010-09-25 | 2012-04-11 | 百度在线网络技术（北京）有限公司 | Method and equipment for analyzing generalization keywords based on benchmark |
| CN103324645A (en) * | 2012-03-23 | 2013-09-25 | 腾讯科技（深圳）有限公司 | Method and device for recommending webpage |
| CN103914543A (en) * | 2014-04-03 | 2014-07-09 | 北京百度网讯科技有限公司 | Search result displaying method and device |
| CN104572853A (en) * | 2014-12-17 | 2015-04-29 | 百度在线网络技术（北京）有限公司 | Searching method and searching device |
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