CN104598602B - Pass through computer implemented information recommendation method and device based on scene - Google Patents
Pass through computer implemented information recommendation method and device based on scene Download PDFInfo
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- CN104598602B CN104598602B CN201510041320.6A CN201510041320A CN104598602B CN 104598602 B CN104598602 B CN 104598602B CN 201510041320 A CN201510041320 A CN 201510041320A CN 104598602 B CN104598602 B CN 104598602B
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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 embodiment of the invention provides a kind of information recommendation methods and device by computer implemented based on scene.The information recommendation method includes: the travel information for obtaining user；Given scenario is split as multiple sub-scenes and its corresponding period according to the travel information；The primary election product information being consistent with the given scenario is extracted from product information library according to the multiple sub-scene and its corresponding period；Recommended products information is chosen according to from the primary election product information being consistent according to scheduled screening；The recommended products information is provided.The embodiment of the present invention by computer implemented information recommendation method and device based on scene, the various aspects demand such as amusement, food, shelter can will be met under special scenes and the strong product information of relevance recommends user.
Description
Technical field
The present invention relates to technical field of information processing more particularly to a kind of pass through the computer implemented information based on scene
Recommended method and device.
Background technique
With the improvement of people's life quality, the demand of amusement and recreation sharply increases, and it is existing such as purchasing by group, online shopping
Consumption mode still rely primarily on user and initiatively search for its and need the various products or service consumed, system can mention sometimes
For some and each demand related content of user recommendation, but recommendation information is more scattered, does not account for user in specific field
Comprehensive demand in scape.
Assuming that user has Beijing capable demand on the two.In group-purchase system, user inputs the old lane Prince Gong's Palace in Beijing, system
Be supplied to user is only the group purchase information of the old lane Prince Gong's Palace admission ticket in Beijing, meanwhile, also have it is some for example celebrate rich steamed stuffed bun, after
Some scattered single recommendation informations such as extra large hotel will meet each sides such as amusement, food, shelter, row there is no based under certain scene
The face and strong product information of relevance recommends user, is met the needs of users with this.
Summary of the invention
The purpose of the embodiment of the present invention is, provides a kind of by the computer implemented information recommendation method based on scene
And device, it is capable of providing the many-sided demand for meeting user under special scenes and the strong recommended products information of relevance.
For achieving the above object, the embodiment provides a kind of by computer implemented based on scene
Information recommendation method, comprising: obtain the travel information of user；Given scenario is split as multiple subfields according to the travel information
Scape and its corresponding period；It is extracted and the finger according to the multiple sub-scene and its corresponding period from product information library
Determine the primary election product information that scene is consistent；Recommendation production is chosen according to from the primary election product information being consistent according to scheduled screening
Product information；The recommended products information is provided.
Pass through the computer implemented information recommending apparatus based on scene, packet the embodiments of the present invention also provide a kind of
Include: travel information obtains module, for obtaining the travel information of user；Scene splits module, for according to the travel information
Given scenario is split as multiple sub-scenes and its corresponding period；Primary election product information extraction module, for according to
Multiple sub-scenes and its corresponding period extract the primary election product information being consistent with the given scenario from product information library；It pushes away
It recommends product information and chooses module, for choosing recommended products according to from the primary election product information being consistent according to scheduled screening
Information；Recommended products information providing module is used to provide the described recommended products information.
Information recommendation method and device provided in an embodiment of the present invention by computer implemented based on scene, by obtaining
The travel information taken splits given scenario, then based on splitting obtained multiple sub-scenes and its corresponding period, from
The primary election product information that is consistent with the given scenario is extracted in product information library, finally according to scheduled screening foundation from the phase
The primary election product information of symbol is chosen and provides recommended products information, so that the recommended products information for being supplied to user meets spy
Determine comprising various demands such as amusement, food, shelters under scene, and the relevance between recommended products information is strong.
Detailed description of the invention
Fig. 1 is the process by the computer implemented information recommendation method based on scene for showing the embodiment of the present invention one
Figure；
Fig. 2 is the example by the computer implemented information recommendation method based on scene for showing the embodiment of the present invention one
Property schematic diagram；
Fig. 3 is the logic by the computer implemented information recommending apparatus based on scene for showing the embodiment of the present invention two
Block diagram.
Specific embodiment
Basic conception of the invention is that given scenario is split as multiple sub-scenes according to the user's travel information got
And its corresponding period extracts further according to obtained multiple sub-scenes and its corresponding period is split from product information library
The primary election product information being consistent with the given scenario is finally selected from the primary election product information being consistent according to scheduled screening foundation
Recommended products information is taken, and the recommended products information is provided, so that the recommended products information for being supplied to user meets spy
Determine comprising (such as amusement, food, shelter, row etc.) many-sided demand under scene, and the relevance between recommended products information is strong.
It is a kind of to the embodiment of the present invention with reference to the accompanying drawing to pass through the computer implemented information recommendation method based on scene
And device is described in detail.
Embodiment one
Fig. 1 is the flow chart by the computer implemented information recommendation method based on scene of the embodiment of the present invention one.
The method can be executed on search server for example purchasing by group.
Referring to Fig.1, in step S110, the travel information of user is obtained.
The travel information of user can be obtained from user's input content by purchasing by group search server, and travel information may include, but
It is not limited to, journey time length and destination, for example, one day and rear sea.
In step S120, given scenario is split as by multiple sub-scenes and its corresponding time according to the travel information
Section.
Specifically, step S120 can include: the given scenario is split as by multiple sub-scenes according to the travel information,
And the corresponding period is distributed for each sub-scene.What needs to be explained here is that the multiple sub-scene may include, but
It is not limited to, below at least two: amusement, food and drink, lodging, shopping, trip mode etc..
Specifically, in the longer situation of journey time length in travel information, step S120 can be according to the row
Given scenario is handled as follows in journey information, formulates stroke route according to the travel information, the given scenario is split
Being includes multiple sub-scenes, and distributes the corresponding period for each sub-scene.As an example it is assumed that travel information is
Extra large row on the two afterwards, so that it may rear extra large row on the two is split as amusement, food and drink, three sub-scenes of staying, then be the distribution of each sub-scene
Time, such as amusement four hours, food and drink two hours etc..
In step S130, extracted and the finger according to the multiple sub-scene and its corresponding period from product information library
Determine the primary election product information that scene is consistent.
According to an alternative embodiment of the invention, step S130 includes extracting such product letter from the product information library
Cease as the primary election product information: the geographical location that the product information provides is near the destination, product letter
The type of breath is matched with any sub-scene, wherein the product information in the product information library includes its type and its offer
Geographical location.For example, can be lower by analyzing and positioning log online, and data mining is carried out, the product information packet that will be excavated
It includes its type and its geographical location is stored in product information library.
Another alternative embodiment according to the present invention, step S130 include extracting such produce from the product information library
Product information is as the primary election product information: the geographical location that the product information provides is near the destination, the production
The type and length of stay of product information are matched with the length of any sub-scene and its corresponding period, wherein the production
Product information in product information bank includes its type, its geographical location provided and length of stay.In this way, can refer to product
The length of stay of information accurately matches primary election product information relatively.
For example, data mining and analyze most people type be sight spot " Prince Gong's Palace ", the general stop in the sight spot
Time span such as two hours.Assuming that trip two days, amusement sub-scene has 4 hours time, then two can be arranged two hours
Sight spot or three hours and one hour two sight spot or other product information conducts that can be matched
Primary election product information.
Another alternative embodiment according to the present invention, for having formulated stroke according to the travel information in the step s 120
The situation of route, step S130 include extracting such product information as the primary election product from the product information library and believing
Breath: the geographical location that the product information provides matches with the stroke route, the type of the product information and residence time
Length is matched with the length of any sub-scene and its corresponding period, wherein the product information packet in product information library
Its type, its geographical location provided and length of stay are provided.In this way, the stroke route for further contemplating formulation carries out just
The matching of product information is selected, so that more reasonable recommended products information can be provided a user in subsequent processing.
In step S140, recommended products letter is chosen according to from the primary election product information being consistent according to scheduled screening
Breath.
Here, the screening is according to may include, but is not limited to, below at least one: user preference, the stroke degree of correlation and production
Product favorable comment degree.For example, can it is online under data mining is carried out to the log that purchases by group of user, and user preference is analyzed, according to user
Preference chooses recommended products information from the primary election product information being consistent.If user often goes cultural palace, museum, and current use
Family is with the label often traveled, then can be that the user recommends the relevant product of tourism natural views or cultural sight spot
Information.Further, it is also possible to be produced according to the product favorable comment degree of passing user feedback, then according to product favorable comment degree from the primary election being consistent
Product information chooses recommended products information, can specifically set a threshold value, product favorable comment degree is more than in the primary election product information being consistent
The threshold value is chosen for recommended products information, and is lower than being selected for the threshold value.
Finally, providing the recommended products information in step S150.
Preferred embodiment in accordance with the present invention, step S140 can further include: by the recommended products information be combined into
A few recommended products packet, and step S150 can include: at least one described recommended products packet is provided.Still with
For " rear sea row on the two ", the prior art merely provides scattered recommendation information or the user product that actively search obtains
Information, and by this patent preferred embodiment by the computer implemented information recommendation method based on scene, what is provided pushes away
Recommending product information packet is the integration of the recommended products information of more scenes such as to contain amusement, live, go, do shopping.
It, can be according to the user's stroke got by this by the computer implemented information recommendation method based on scene
Given scenario is split as multiple sub-scenes and its corresponding period by information, further according to split obtained multiple sub-scenes and its
The corresponding period extracts the primary election product information being consistent with the given scenario from product information library, finally according to scheduled sieve
Choosing provides the recommended products information according to the selection recommended products information from the primary election product information being consistent, and is capable of providing
Meet amusement, food, shelter, the various aspects demand such as row and the strong recommended products information of relevance under special scenes.
On this basis, the given scenario can be scheduled scene, be also possible to the scene of user's selection.For this purpose,
According to the preferred embodiment of the invention by the computer implemented information recommendation method based on scene can also include: according to institute
It states travel information and obtains multiple scenes, and choose a scene from the multiple scene according to the user's choice as the finger
Determine scene.
Below with reference to specifically processing example, come further more intuitively illustratively the specific of the embodiment of the present invention answers
With.
Fig. 2 is the example by the computer implemented information recommendation method based on scene for showing the embodiment of the present invention one
Property schematic diagram.
Referring to Fig. 2, for example, user inputs Beijing row on the two in group-purchase system, purchasing by group search server can be from user
The travel information of user is obtained in the content of input, i.e. stroke time span is two days, and destination is Beijing.According to the stroke
Information can get multiple scenes, such as Beijing culture row, Shidu Summer Resort landscape etc., and according to the user's choice from the multiple field
A scene is chosen in scape as given scenario, as shown in Figure 2, user has selected " Beijing culture row " to make from multiple scenes
For given scenario.
Then stroke route is formulated according to travel information, which is split as multiple sub-scenes, while being each
The sub-scene distributes the corresponding period.It should be noted that multiple sub-scenes may include, but it is not limited to, below at least two
It is a: amusement, food and drink, lodging, shopping, trip mode.Such as breakfast half an hour, the morning entertain two hours and do shopping two hours,
Further according to the multiple sub-scenes and its corresponding period split from product information library extract be consistent with the given scenario at the beginning of
Product information is selected, the product information for meeting the following conditions can extract as primary election product information, specifically, the ground that product information provides
Reason position is near the destination, the type of the product information is matched with any sub-scene.By the processing of said extracted,
It can be obtained by the primary election product informations such as the old lane Prince Gong's Palace in Beijing as shown in fig. 2, Song Qingling's Former Residence, the rich steamed stuffed bun of celebrating, need
What is illustrated is that the product information in product information library includes its type and its geographical location provided.
Hereafter, recommended products information is chosen according to from the above-mentioned primary election product information being consistent according to scheduled screening, needed
What is illustrated is screening according to may include, but is not limited to, below at least one: user preference, the stroke degree of correlation and product favorable comment degree.
Specifically, Beijing row relative travel time span on the two is longer, and has corresponding stroke route, can also believe recommended products
Breath is combined at least one recommended products packet, and provides the recommended products information to user, wherein the recommendation of offer produces
Product packet is the integration of the recommended products information of more scenes such as to contain amusement, live, go, do shopping.
Extend ground, can also there is voice and videos or the electronic information such as some relevant cultural product explanations, the bat of recommendation
According to souvenir etc..User, which has bought, can carry out consuming under line, be finally completed article of consumption, evaluation etc..The prior art is as a result,
Scattered recommendation information or the user product information that actively search obtains is provided, and passes through this patent preferred embodiment
By the computer implemented information recommendation method based on scene so that be supplied to the recommended products information more system of user and
Relevance is strong, while can rationally be recommended to certain time period or to stroke during the journey.
Embodiment two
Fig. 3 is the logical box by the computer implemented information recommending apparatus based on scene of the embodiment of the present invention two
Figure.
Referring to Fig. 3, the information recommending apparatus based on scene includes that travel information obtains module 210, scene splits mould
Block 220, primary election product information extraction module 230, recommended products information choose module 240 and recommended products information providing module
250。
Travel information obtains the travel information that module 210 is used to obtain user.
The travel information may include journey time length and destination.
Scene splits module 220 and is used to that given scenario to be split as multiple sub-scenes and its corresponding according to the travel information
Period.
Preferably, the multiple sub-scene includes following at least two: amusement, food and drink, lodging, shopping, trip mode etc..
Further, it is multiple for being split as the given scenario according to the travel information to split module 220 for scene
Sub-scene distributes the corresponding period for each sub-scene.
Primary election product information extraction module 230 is used to be believed according to the multiple sub-scene and its corresponding period from product
Extract the primary election product information being consistent with the given scenario in breath library.
Optionally, primary election product information extraction module 230 is used to extract such product information from the product information library
As the primary election product information: the geographical location that the product information provides is near the destination, the product information
Type matched with any sub-scene, wherein the product information in the product information library includes its type and it is provided
Geographical location.
Optionally, primary election product information extraction module 230 is also used to extract such product letter from the product information library
Cease as the primary election product information: the geographical location that the product information provides is near the destination, product letter
The type and length of stay of breath are matched with the length of any sub-scene and its corresponding period, wherein the product letter
Product information in breath library includes its type, its geographical location provided and length of stay.
Recommended products information is chosen module 240 and is used for according to scheduled screening foundation from the primary election product information being consistent
Choose recommended products information.
Preferably, screening according to include it is following at least one: user preference, the stroke degree of correlation and product favorable comment degree.
Recommended products information providing module 250 is used to provide the described recommended products information.
Further, recommended products information chooses module 240 and is also used to for the recommended products information being combined at least
One recommended products packet, and recommended products information providing module 250 is used to provide the described at least one recommended products letter
Breath packet.
Preferably, described device further include: given scenario chooses module, for obtaining multiple fields according to the travel information
Scape, and a scene is chosen from the multiple scene according to the user's choice as the given scenario.
It, can be according to the user's stroke got by this by the computer implemented information recommending apparatus based on scene
Given scenario is split as multiple sub-scenes and its corresponding period by information, further according to split obtained multiple sub-scenes and its
The corresponding period extracts the primary election product information being consistent with the given scenario from product information library, finally according to scheduled sieve
Choosing provides the recommended products information according to the selection recommended products information from the primary election product information being consistent, and is capable of providing
Meet amusement, food, shelter, the various aspects demand such as row and the strong recommended products information of relevance under special scenes.
In several embodiments provided by the present invention, it should be understood that disclosed device and method can pass through it
Its mode is realized.For example, the apparatus embodiments described above are merely exemplary, for example, the division of the module, only
Only a kind of logical function partition, there may be another division manner in actual implementation.
It, can also be in addition, each functional module in each embodiment of the present invention can integrate in a processing module
It is that modules physically exist alone, can also be integrated in two or more modules in a module.Above-mentioned integrated mould
Block both can take the form of hardware realization, can also realize in the form of hardware adds software function module.
The above-mentioned integrated module realized in the form of software function module, can store and computer-readable deposit at one
In storage media.Above-mentioned software function module is stored in a storage medium, including some instructions are used so that a computer
It is each that equipment (can be personal computer, server or the network equipment etc.) or processor (processor) execute the present invention
The part steps of embodiment the method.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory (Read-
Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic or disk etc. it is various
It can store the medium of program code.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
Those familiar with the art in the technical scope disclosed by the present invention, can easily think of the change or the replacement, and should all contain
Lid is within protection scope of the present invention.Therefore, protection scope of the present invention should be based on the protection scope of the described claims.
Claims (15)
1. a kind of pass through the computer implemented information recommendation method based on scene, which is characterized in that the described method includes:
Obtain the travel information of user；
Given scenario is split as multiple sub-scenes and its corresponding period according to the travel information；Wherein, according to described
Travel information formulates stroke route, and the given scenario is split as to include multiple sub-scenes, for each sub-scene distribution
The corresponding period；
Extracted according to the multiple sub-scene and its corresponding period from product information library be consistent with the given scenario at the beginning of
Select product information；Wherein, such product information is extracted as the primary election product information from the product information library: the production
Product information provide geographical location matched near destination and with the stroke route, the type and stop of the product information
Time span is matched with the length of any sub-scene and its corresponding period, wherein the product letter in product information library
Breath includes its type, its geographical location provided and length of stay；
Recommended products information is chosen according to from the primary election product information being consistent according to scheduled screening；
The recommended products information is provided.
2. information recommendation method according to claim 1, which is characterized in that the travel information includes journey time length
With the destination.
3. information recommendation method according to claim 2, which is characterized in that it is described according to scheduled screening according to from described
The primary election product information being consistent chooses the processing of recommended products information further include: is combined into the recommended products information at least
One recommended products packet, and
The processing for providing the recommended products information includes: to provide at least one described recommended products packet.
4. information recommendation method according to claim 2 or 3, which is characterized in that the screening according to include it is following at least
One: user preference, the stroke degree of correlation and product favorable comment degree.
5. information recommendation method according to claim 4, which is characterized in that the multiple sub-scene includes following at least two
It is a: amusement, food and drink, lodging, shopping, trip mode.
6. information recommendation method according to claim 5, which is characterized in that it is described according to the travel information by specified field
Scape is split as multiple sub-scenes and its processing of corresponding period includes:
The given scenario is split as multiple sub-scenes according to the travel information,
The corresponding period is distributed for each sub-scene.
7. information recommendation method according to claim 6, which is characterized in that described according to the multiple sub-scene and its phase
The period answered extracts the processing of primary election product information being consistent with the given scenario from product information library
Such product information is extracted as the primary election product information from the product information library: what the product information provided
Geographical location is near the destination, the type of the product information is matched with any sub-scene, wherein the product information
Product information in library includes its type and its geographical location provided.
8. information recommendation method according to claim 5, which is characterized in that the method also includes: according to the stroke
The multiple scenes of acquisition of information, and a scene is chosen from the multiple scene according to the user's choice as the specified field
Scape.
9. a kind of pass through the computer implemented information recommending apparatus based on scene, which is characterized in that described device includes:
Travel information obtains module, for obtaining the travel information of user；
Scene splits module, for given scenario to be split as multiple sub-scenes and its corresponding time according to the travel information
Section；Wherein, stroke route is formulated according to the travel information, the given scenario is split as to include multiple sub-scenes, is every
A sub-scene distributes the corresponding period；
Primary election product information extraction module, for being mentioned according to the multiple sub-scene and its corresponding period from product information library
Take the primary election product information being consistent with the given scenario；Wherein, such product information is extracted from the product information library to make
For the primary election product information: the geographical location that the product information provides matches with the stroke route, the product information
Type and length of stay and the length of any sub-scene and its corresponding period match, wherein the product information
Product information in library includes its type, its geographical location provided and length of stay；
Recommended products information chooses module, for being pushed away according to scheduled screening according to from the primary election product information selection being consistent
Recommend product information；
Recommended products information providing module is used to provide the described recommended products information.
10. information recommending apparatus according to claim 9, which is characterized in that the travel information includes that journey time is long
Degree and destination.
11. information recommending apparatus according to claim 10, which is characterized in that the recommended products information chooses module also
For: the recommended products information is combined at least one recommended products packet, and the recommended products information mentions
It is used for for module: at least one described recommended products packet is provided.
12. information recommending apparatus described in 0 or 11 according to claim 1, which is characterized in that the screening according to include with down toward
It is one few: user preference, the stroke degree of correlation and product favorable comment degree.
13. information recommending apparatus according to claim 12, which is characterized in that the multiple sub-scene include it is following at least
Two: amusement, food and drink, lodging, shopping, trip mode.
14. information recommending apparatus according to claim 13, which is characterized in that the primary election product information extraction module is used
In: such product information is extracted as the primary election product information from the product information library: what the product information provided
Geographical location is near the destination, the type of the product information is matched with any sub-scene, wherein the product information
Product information in library includes its type and its geographical location provided.
15. information recommending apparatus according to claim 13, which is characterized in that described device further include:
Given scenario chooses module, for obtaining multiple scenes according to the travel information, and according to the user's choice from described
A scene is chosen in multiple scenes as the given scenario.
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| CN106528570A (en) * | 2015-09-14 | 2017-03-22 | 百度在线网络技术（北京）有限公司 | Recommendation method and device |
| CN106651281A (en) * | 2015-11-04 | 2017-05-10 | 上海仓实网络科技有限公司 | Mobile terminal-based job seeker and part time job matching method and system |
| CN106679683B (en) * | 2016-11-26 | 2018-06-29 | 深圳壹账通智能科技有限公司 | Obtain the method and device of trip information |
| CN106897897B (en) * | 2017-01-20 | 2021-06-15 | 北京小米移动软件有限公司 | Content item pushing method and device |
| CN106846054A (en) * | 2017-01-20 | 2017-06-13 | 北京小米移动软件有限公司 | Content item method for pushing and device |
| CN106846055A (en) * | 2017-01-20 | 2017-06-13 | 北京小米移动软件有限公司 | Content item method for pushing and device |
| CN109146586A (en) * | 2017-06-15 | 2019-01-04 | 阿里巴巴集团控股有限公司 | The method and device of the data object information page is provided |
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| CN110147492B (en) * | 2019-04-12 | 2022-04-12 | 北京梧桐车联科技有限责任公司 | Information processing method, vehicle and storage medium |
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