CN103390031B - Intelligent recommendation method and device - Google Patents
Intelligent recommendation method and device Download PDFInfo
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- CN103390031B CN103390031B CN201310272372.5A CN201310272372A CN103390031B CN 103390031 B CN103390031 B CN 103390031B CN 201310272372 A CN201310272372 A CN 201310272372A CN 103390031 B CN103390031 B CN 103390031B
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Abstract
The open a kind of intelligent recommendation method and device of the present invention, its method includes: receive the trip querying condition of user's input；From historical record, extract the user mated with described trip querying condition go on a journey recommendation information；Go on a journey recommendation information based on described user, calculate with the priority rule set and obtain user and go on a journey recommendation information list；The user in recommendation information list that described user is gone on a journey go on a journey recommendation information carry out entry show for user select.The trip querying condition that the present invention is currently entered according to user, in conjunction with historical record, obtain the trip recommendation information of the querying condition meeting user's input being ranked up from high to low by frequent degree, required trip scheme is therefrom selected, the portable degree thus greatly improve user's inquiry, selecting trip scheme and satisfaction for user.
Description
Technical field
The present invention relates to internet, applications field, particularly relate to a kind of intelligent recommendation method and device.
Background technology
At present, on the internet for user trip requirements almost without rational, targetedly and
The guiding of hommization and recommend method, as needed, as user, air ticket, the hotel etc. that online booking goes on a journey
Time, it is impossible to recommend the multiple current boat that may need for it according to the querying condition of user's input
The trip scheme that class, hotel etc. are relevant, the portable degree greatly reduce user's inquiry, selecting
, make user when trip, the experience sense in online booking air ticket, hotel etc. be declined, be unfavorable for city
Field competition.
Summary of the invention
Present invention is primarily targeted at a kind of intelligent recommendation method and device of offer, it is intended to improve user
Inquiry, the convenient degree of selection trip scheme.
In order to achieve the above object, the present invention proposes a kind of intelligent recommendation method, including:
Receive the trip querying condition of user's input；
From historical record, extract the user mated with described trip querying condition go on a journey recommendation information；
Go on a journey recommendation information based on described user, calculate with the priority rule set and obtain user's trip and push away
Recommend information list；
The user in recommendation information list that described user is gone on a journey go on a journey recommendation information carry out entry show supply
User selects.
Preferably, the step of the described trip querying condition receiving user's input includes:
When trip recommendation information needed for user is traffic recommendation information, described trip querying condition is extremely
Include one below less: departure place, destination, sailing date and transport information, and work as user
When the vehicles selected are aircraft, described transport information is Flight Information；
When trip recommendation information needed for user is lodging recommendation information, described trip querying condition is extremely
Include one below less: move in city, move in urban area, move in the date, date of departure and
Accommodation venue title.
Preferably, the described user that extraction is mated with described trip querying condition from historical record trip
The step of recommendation information includes:
When default query elements in the trip querying condition that user is currently entered, extract going through of this user
That subscribes or inquired about in Records of the Historian record meets this query elements and the user of described trip querying condition
Trip recommendation information；If that does not subscribe in the historical record of this user or inquired about meets this and looks into
Ask key element and the trip scheme of described trip querying condition, then extract the historical record of all users
Middle reservation or the user's trip meeting this query elements and described trip querying condition inquired about push away
Recommend information.
Preferably, described go on a journey recommendation information based on user, calculate to obtain with the priority rule set and use
The step of family trip recommendation information list includes:
Calculate described user to go on a journey recommendation information frequency height in historical record, and be correspondingly arranged height
Low priority；
Obtain corresponding user go on a journey recommendation according to the go on a journey priority height of recommendation information of described user
Breath list.
Preferably, the described user in recommendation information list that user gone on a journey recommendation information of going on a journey carries out bar
Mesh show for user select step particularly as follows:
The user in recommendation information list that the described user obtained gone on a journey goes on a journey recommendation information by default
Entry number shows, selects for user.
The present invention also proposes a kind of intelligent recommendation device, including:
Receiver module, for receiving the trip querying condition of user's input；
Extraction module, goes out for extracting the user mated with described trip querying condition from historical record
Row recommendation information；
Calculate acquisition module, for going on a journey recommendation information based on described user, with the priority rule set
Calculate and obtain user and go on a journey recommendation information list；
Display module, goes on a journey recommendation information for the user in recommendation information list that described user gone on a journey
Carry out entry to show for user's selection.
Preferably, when the trip recommendation information needed for user is traffic recommendation information, described trip is looked into
Inquiry condition at least includes one below: departure place, destination, sailing date and transport information,
And when the vehicles that user selects are aircraft, described transport information is Flight Information；
When trip recommendation information needed for user is lodging recommendation information, described trip querying condition is extremely
Few
Including one below: move in city, move in urban area, move in the date, date of departure and live
Ground, place title.
Preferably, described extraction module is used for:
When default query elements in the trip querying condition that user is currently entered, extract going through of this user
That subscribes or inquired about in Records of the Historian record meets this query elements and the user of described trip querying condition
Trip recommendation information；If that does not subscribe in the historical record of this user or inquired about meets this and looks into
Ask key element and the trip scheme of described trip querying condition, then extract the historical record of all users
Middle reservation or the user's trip meeting this query elements and described trip querying condition inquired about push away
Recommend information.
Preferably, described calculating acquisition module includes:
Calculating and setting unit, goes on a journey recommendation information frequency in historical record for calculating described user
Just, and be correspondingly arranged high low priority；
Acquiring unit, for obtaining corresponding according to the go on a journey priority height of recommendation information of described user
User goes on a journey recommendation information list.
Preferably, described display module is used for:
The user in recommendation information list that the described user obtained gone on a journey goes on a journey recommendation information by default
Entry number shows, selects for user.
A kind of intelligent recommendation method and device that the present invention proposes, looks into according to the trip that user is currently entered
Inquiry condition, in conjunction with historical record, obtains and meets user by what frequent degree was ranked up from high to low
The trip recommendation information of the querying condition of input, therefrom selects required trip scheme for user,
The portable degree thus greatly improve user's inquiry, selecting trip scheme and satisfaction.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of intelligent recommendation method preferred embodiment of the present invention；
Fig. 2 is to go on a journey recommendation information based on described user in intelligent recommendation method preferred embodiment of the present invention,
Calculate with the priority rule set and obtain user and go on a journey the schematic flow sheet of recommendation information list；
Fig. 3 is the structural representation of intelligent recommendation device preferred embodiment of the present invention；
Fig. 4 is the structural representation calculating acquisition module in intelligent recommendation device preferred embodiment of the present invention.
In order to make technical scheme clearer, clear, make further below in conjunction with accompanying drawing
Describe in detail.
Detailed description of the invention
The solution of the embodiment of the present invention is mainly: the trip querying condition being currently entered according to user
, in conjunction with historical record, obtain and meet what user inputted by what frequent degree was ranked up from high to low
The trip recommendation information of querying condition, therefrom selects required trip scheme, thus pole for user
The big portable degree that improve user's inquiry, select trip scheme and satisfaction.
As it is shown in figure 1, present pre-ferred embodiments proposes a kind of intelligent recommendation method, including:
Step S101, receives the trip querying condition of user's input；
Receive user's trip querying condition according to its current trip requirements input, the present embodiment is used
The trip recommendation information of family demand illustrates as a example by traffic recommendation information and lodging recommendation information
, but the trip recommendation information of user's request is not limited to traffic recommendation information and lodging recommendation
Breath.
When trip recommendation information needed for user is traffic recommendation information, described trip querying condition is extremely
Include one below less: departure place, destination, sailing date and transport information.The present embodiment
In the vehicles that select with user as aircraft as a example by illustrate, but do not limit user and select it
His vehicles such as situation such as train, steamer.When the vehicles that user selects are aircraft,
Transport information in above-mentioned trip querying condition is Flight Information, more specifically, for airline
。
When trip recommendation information needed for user is lodging recommendation information, described trip querying condition is extremely
Include one below less: move in city, move in urban area, move in the date, date of departure and
Accommodation venue title.The present embodiment illustrates as a example by the accommodation venue of user's selection is as hotel,
Certainly, other lodging schemes are not limited.The accommodation venue selected as user is said as a example by hotel
Time bright, the accommodation venue title in the trip querying condition of user's input is specially hotel name.
Step S102, extracts the user's trip mated with described trip querying condition from historical record and pushes away
Recommend information；
Step S103, goes on a journey recommendation information based on described user, calculates with the priority rule set and obtains
User goes on a journey recommendation information list；
The vehicles that trip recommendation information is traffic recommendation information and selection needed for user are aircraft
Time, according to the trip querying condition at least including one below of user's input: departure place, mesh
Ground, sailing date and airline, calculate and obtain the trip recommendation information selected for user i.e.
Traffic recommendation information.
If default departure place and/or destination in the trip querying condition of user's input, then extract this user
The user comprising departure place and/or destination subscribing in historical record or inquiring about goes on a journey recommendation
Breath；Calculate described user go on a journey recommendation information in this user's historical record frequency height, and
It is correspondingly arranged priority
Just, recommendation information of the user high at this user's historical record medium frequency being gone on a journey is set to preferentially
Level is high, and user that frequency is low goes on a journey, and to be set to priority low for recommendation information；Go out according to described user
The priority height of row recommendation information obtains corresponding user and goes on a journey recommendation information list.Then in institute
State the user user in recommendation information list that goes on a journey to go on a journey recommendation information obtains by frequent degree by height
To the low departure place being ranked up and/or destination；Acquisition meets and carries out from high to low by frequent degree
The departure place of sequence and/or the course line entry of destination, owing to being subscribed as in this user's historical record
Or departure place and/or the destination inquired about carries out frequent degree sequence, therefore can obtain and more meet this
The departure place of individual subscriber interest and/or destination, more met the friendship of this individual subscriber interest
Logical recommendation information, selects for user.
If the use comprising departure place and/or destination do not subscribed in this user's historical record or inquired about
Family trip recommendation information, then extract comprising of subscribing in the historical record of all users or inquired about
The user of departure place and/or destination goes on a journey recommendation information；Calculate described user to go on a journey recommendation information
Frequency height in all user's historical records, and it is correspondingly arranged priority height, will be in institute
The user having user's historical record medium frequency high goes on a journey, and to be set to priority high for recommendation information, frequency
Low user goes on a journey, and to be set to priority low for recommendation information；Go on a journey recommendation information according to described user
Priority height obtain corresponding user and go on a journey recommendation information list.Then go on a journey described user
User in recommendation information list goes on a journey and obtains arranging from high to low by frequent degree in recommendation information
The departure place of sequence and/or destination, and as current popular departure place and/or destination, obtain
Take current popular departure place and/or the course line entry of destination, as the traffic recommending user
Recommendation information, selects for user.
If default sailing date in the trip querying condition of user's input, then meet in obtaining Preset Time
The course line entry of other conditions of user's input is as the traffic recommendation information of current trip, this reality
Executing in example, Preset Time is preferably after 4 hours from current time, due to reserved 4 hours for
Going on a journey the buffer time prepared in family, the traffic recommendation information therefore obtained more meets the reality of user
Border demand, eliminates other traffic recommendation informations not conforming to reality, more fast.
If default airline in the trip querying condition of user's input, then same day sailing date is divided
For several time periods, within each time period by the departure time sooner or later and Bu Xian airline row
Sequence obtains the course line entry of other conditions meeting this user input, as the traffic of current trip
Recommendation information；If the trip querying condition of user's input have input the airline specified,
Then within each time period, sooner or later and only limit the use of airline's sequence of family input by the departure time to obtain
Taking the course line entry of other conditions meeting this user input, the traffic as current trip is recommended
Information.In the present embodiment, it is preferably and same day sailing date was divided into the morning, afternoon and evening
3 time periods, convenient user selects according to self-demand
Select suitable traffic recommendation information.
When the accommodation venue that trip recommendation information is lodging recommendation information and selection needed for user is hotel
, according to the trip querying condition at least including one below of user's input: move in city, enter
Live urban area, move in date, date of departure and hotel name, calculate and obtain for user's selection
Trip recommendation information i.e. stay recommendation information.
Move in city if default in the trip querying condition of user's input, then extract this user's historical record
Move in middle reservation or comprising of inquiring about the user in city to go on a journey recommendation information；Calculate described user
Trip recommendation information frequency height in this user's historical record, and it is high to be correspondingly arranged priority
Low, recommendation information of the user high at this user's historical record medium frequency being gone on a journey is set to priority
Height, the user that frequency is low goes on a journey, and to be set to priority low for recommendation information；Go on a journey according to described user
The priority height of recommendation information obtains corresponding user and goes on a journey recommendation information list.Then described
User go on a journey the user in recommendation information list go on a journey recommendation information obtains by frequent degree by height to
Low be ranked up move in city；Obtain and meet by moving in that frequent degree is ranked up from high to low
The entry in city, owing to being carried out by the city of moving in subscribed or inquired about in this user's historical record
Frequent degree sorts, therefore can obtain more meet this individual subscriber interest move in city, obtain more
Meet the lodging recommendation information of this individual subscriber interest, select for user.If this user's history
Move in comprising of not subscribing in record or inquired about the user in city to go on a journey recommendation information, then carry
Take and move in comprising of subscribing in the historical record of all users or inquired about user's trip in city and push away
Recommend information；Calculate described user recommendation information frequency in all user's historical records of going on a journey high
Low, and it is correspondingly arranged priority height, by the user high at all user's historical record medium frequencys
It is high that trip recommendation information is set to priority, and the user that frequency is low recommendation information of going on a journey is set to excellent
First level is low；Obtain corresponding user go out according to the go on a journey priority height of recommendation information of described user
Row recommendation information list.Then go on a journey recommendation the described user user in recommendation information list that goes on a journey
Information obtains move in city as current popular entering by what frequent degree was ranked up from high to low
Living city, obtain current hot topic moves in city entry, recommends as the lodging recommending user
Information, selects for user.
Urban area is moved in, then according to this user's history if default in the trip querying condition of user's input
The appointment subscribed in record or inquired about is moved in the regional frequent degree in city and is ranked up, obtain by
The area in city is moved in the appointment that frequent degree is ranked up from high to low；Acquisition meets by frequent degree
The entry moving in urban area being ranked up from high to low, due to by this user's historical record
The appointment subscribed or inquired about is moved in the area in city and is carried out frequent degree sequence, therefore can obtain more
Meet this individual subscriber interest moves in city
Area, city, is more met the lodging recommendation information of this individual subscriber interest, selects for user
.If the area in city is moved in the appointment do not subscribed in this user's historical record or inquired about, then
Other areas in city are moved in the appointment subscribed in historical record according to all users or inquired about
Frequent degree is ranked up, and obtains the appointment by frequent degree is ranked up from high to low and moves in city
The urban area of moving in of city currently hot topic, the most popular the entering of acquisition are moved in area as specifying
Live urban area entry, as recommending the lodging recommendation information of user, select for user.
If default hotel name in the trip querying condition of user's input, then according to this user's historical record
The appointment of middle reservation or inquiry is moved in hotel's frequent degree of urban area and is ranked up, and obtains by frequency
The hotel of urban area is moved in the appointment that numerous degree is ranked up from high to low；Acquisition meets by frequently
Hotel's entry of urban area is moved in the appointment that degree is ranked up from high to low, due to by this user
The appointment subscribed in historical record or inquired about is moved in the hotel of urban area and is carried out frequent degree sequence
, therefore can obtain the hotel more meeting this individual subscriber interest, more be met this individual subscriber
The lodging recommendation information of interest, selects for user.If this user's historical record is not subscribed
Or the appointment inquired about moves in the hotel of urban area, then in the historical record according to all users
The appointment subscribed or inquired about is moved in other hotel's frequent degrees of urban area and is ranked up, and obtains
The appointment being ranked up from high to low by frequent degree moves in the hotel of urban area as current popular
Hotel, obtain current popular hotel's entry, as the lodging recommendation information recommending user
, select for user.
If the trip querying condition of user's input only have selected and moving in date and date of departure, then obtain
Different grades of hotel, as recommending the lodging recommendation information of user, selects for user.As can
By the hotel of luxury and economical two kinds of grades as the lodging recommendation information recommending user.
If the trip querying condition of user's input including and moves in city, moving in urban area, move in
When date, date of departure and hotel name, then subscribe according in this user's historical record or inquire about
The appointment crossed is moved in the appointment in city and is moved in urban area middle finger and name hotel's frequent degree of title and carry out
Sequence, obtains the hotel being ranked up from high to low by frequent degree, as recommending living of user
Place recommendation information, selects for user；If the appointment of user's input is moved in urban area do not refer to
Determine the hotel of hotel name, the then appointment subscribed or inquire about in the historical record according to all users
The hotel's frequent degree not limiting title moved in urban area is ranked up, obtain by frequent degree by
The hotel as current hot topic of the hotel in urban area is moved in the high to Low appointment being ranked up,
Obtain current popular hotel's entry, as recommending the lodging recommendation information of user, for user
Select.
Step S104, the user in recommendation information list that described user gone on a journey recommendation information of going on a journey is carried out
Bar
Mesh is shown for user's selection.
The user in recommendation information list that the described user obtained gone on a journey goes on a journey recommendation information by default
Entry number shows, selects for user.The entry number preset in the present embodiment is preferably 10, both
Fully showing the trip recommendation information selected for user, the most do not seem redundancy；When meeting of obtaining
When user inputs the trip recommendation information entry number of trip querying condition less than 10, show and obtain
Meet user input trip querying condition all trip recommendation information entries, provide the user
Select all feasible trip schemes.
Specifically, as in figure 2 it is shown, above-mentioned steps S103 may include that
Step S1031, calculate described user go on a journey recommendation information in historical record frequency height, and
It is correspondingly arranged high low priority；
Step S1032, according to described user go on a journey recommendation information priority height obtain corresponding user
Trip recommendation information list.
The present embodiment passes through such scheme, greatly improves user's inquiry, selects trip scheme just
Degree of taking and satisfaction.
As it is shown on figure 3, present pre-ferred embodiments proposes a kind of intelligent recommendation device, including: receive mould
Block 301, extraction module 302, calculating acquisition module 303 and display module 304, wherein:
Receiver module 301, for receiving the trip querying condition of user's input；
Receive user's trip querying condition according to its current trip requirements input, the present embodiment is used
The trip recommendation information of family demand illustrates as a example by traffic recommendation information and lodging recommendation information
, but the trip recommendation information of user's request is not limited to traffic recommendation information and lodging recommendation
Breath.
When trip recommendation information needed for user is traffic recommendation information, described trip querying condition is extremely
Include one below less: departure place, destination, sailing date and transport information.The present embodiment
In the vehicles that select with user as aircraft as a example by illustrate, but do not limit user and select it
His vehicles such as situation such as train, steamer.When the vehicles that user selects are aircraft,
Transport information in above-mentioned trip querying condition is Flight Information, more specifically, for airline
。
When trip recommendation information needed for user is lodging recommendation information, described trip querying condition is extremely
Include one below less: move in city, move in urban area, move in the date, date of departure and
Accommodation venue title.The present embodiment illustrates as a example by the accommodation venue of user's selection is as hotel,
Certainly, it is not limited
He stays scheme.When the accommodation venue that user selects illustrates as a example by hotel, user inputs
Trip querying condition in accommodation venue title be specially hotel name.
Extraction module 302, for extracting the user mated with described trip querying condition from historical record
Trip recommendation information；
Calculate acquisition module 303, for going on a journey recommendation information based on described user, with the preferential rule set
Then calculate and obtain user and go on a journey recommendation information list；
The vehicles that trip recommendation information is traffic recommendation information and selection needed for user are aircraft
Time, according to the trip querying condition at least including one below of user's input: departure place, mesh
Ground, sailing date and airline, calculate and obtain the trip recommendation information selected for user i.e.
Traffic recommendation information.
If default departure place and/or destination in the trip querying condition of user's input, then extract this user
The user comprising departure place and/or destination subscribing in historical record or inquiring about goes on a journey recommendation
Breath；Calculate described user go on a journey recommendation information in this user's historical record frequency height, and
It is correspondingly arranged priority height, recommendation of the user high at this user's historical record medium frequency being gone on a journey
It is high that information is set to priority, and the user that frequency is low goes on a journey, and to be set to priority low for recommendation information；
Obtain corresponding user go on a journey recommendation according to the go on a journey priority height of recommendation information of described user
Breath list.Then go on a journey in recommendation information the described user user in recommendation information list that goes on a journey
To the departure place being ranked up from high to low by frequent degree and/or destination；Acquisition meets by frequently
Spend the departure place and/or the course line entry of destination being ranked up from high to low, due to by this user
The departure place subscribed in historical record or inquired about and/or destination carry out frequent degree sequence, therefore
Departure place and/or the destination more meeting this individual subscriber interest can be obtained, more met this use
The traffic recommendation information of family personal interest, selects for user.
If the use comprising departure place and/or destination do not subscribed in this user's historical record or inquired about
Family trip recommendation information, then extract comprising of subscribing in the historical record of all users or inquired about
The user of departure place and/or destination goes on a journey recommendation information；Calculate described user to go on a journey recommendation information
Frequency height in all user's historical records, and it is correspondingly arranged priority height, will be in institute
The user having user's historical record medium frequency high goes on a journey, and to be set to priority high for recommendation information, frequency
Low user goes on a journey, and to be set to priority low for recommendation information；Go on a journey recommendation information according to described user
Priority height obtain corresponding user and go on a journey recommendation information list.Then go on a journey described user
User in recommendation information list goes on a journey and obtains arranging from high to low by frequent degree in recommendation information
The departure place of sequence and/or destination, and as current popular departure place and/or destination, obtain
Take current popular departure place and/or the course line entry of destination, as the traffic recommending user
Recommendation information, selects for user.
If default sailing date in the trip querying condition of user's input, then meet in obtaining Preset Time
The course line entry of other conditions of user's input is as the traffic recommendation information of current trip, this reality
Executing in example, Preset Time is preferably after 4 hours from current time, due to reserved 4 hours for
Going on a journey the buffer time prepared in family, the traffic recommendation information therefore obtained more meets the reality of user
Border demand, eliminates other traffic recommendation informations not conforming to reality, more fast.
If default airline in the trip querying condition of user's input, then same day sailing date is divided
For several time periods, within each time period by the departure time sooner or later and Bu Xian airline row
Sequence obtains the course line entry of other conditions meeting this user input, as the traffic of current trip
Recommendation information；If the trip querying condition of user's input have input the airline specified,
Then within each time period, sooner or later and only limit the use of airline's sequence of family input by the departure time to obtain
Taking the course line entry of other conditions meeting this user input, the traffic as current trip is recommended
Information.In the present embodiment, it is preferably and same day sailing date was divided into the morning, afternoon and evening
3 time periods, convenient user selects suitable traffic recommendation information according to self-demand.
When the accommodation venue that trip recommendation information is lodging recommendation information and selection needed for user is hotel
, according to the trip querying condition at least including one below of user's input: move in city, enter
Live urban area, move in date, date of departure and hotel name, calculate and obtain for user's selection
Trip recommendation information i.e. stay recommendation information.
Move in city if default in the trip querying condition of user's input, then extract this user's historical record
Move in middle reservation or comprising of inquiring about the user in city to go on a journey recommendation information；Calculate described user
Trip recommendation information frequency height in this user's historical record, and it is high to be correspondingly arranged priority
Low, recommendation information of the user high at this user's historical record medium frequency being gone on a journey is set to priority
Height, the user that frequency is low goes on a journey, and to be set to priority low for recommendation information；Go on a journey according to described user
The priority height of recommendation information obtains corresponding user and goes on a journey recommendation information list.Then described
User go on a journey the user in recommendation information list go on a journey recommendation information obtains by frequent degree by height to
Low be ranked up move in city；Obtain and meet by moving in that frequent degree is ranked up from high to low
The entry in city, owing to being carried out by the city of moving in subscribed or inquired about in this user's historical record
Frequent degree sorts, therefore can obtain more meet this individual subscriber interest move in city, obtain more
Meet the lodging recommendation information of this individual subscriber interest, select for user.If this user's history
Move in comprising of not subscribing in record or inquired about the user in city to go on a journey recommendation information, then carry
Take and move in comprising of subscribing in the historical record of all users or inquired about user's trip in city and push away
Recommend information；
Calculate described user to go on a journey recommendation information frequency height in all user's historical records, and right
Priority height, recommendation of the user high at all user's historical record medium frequencys being gone on a journey should be set
It is high that information is set to priority, and the user that frequency is low goes on a journey, and to be set to priority low for recommendation information；
Obtain corresponding user go on a journey recommendation according to the go on a journey priority height of recommendation information of described user
Breath list.Then go on a journey in recommendation information the described user user in recommendation information list that goes on a journey
City is moved in as the most popular to the city of moving in being ranked up from high to low by frequent degree,
Obtain and current popular move in city entry, as recommending the lodging recommendation information of user, supply
User selects.
Urban area is moved in, then according to this user's history if default in the trip querying condition of user's input
The appointment subscribed in record or inquired about is moved in the regional frequent degree in city and is ranked up, obtain by
The area in city is moved in the appointment that frequent degree is ranked up from high to low；Acquisition meets by frequent degree
The entry moving in urban area being ranked up from high to low, due to by this user's historical record
The appointment subscribed or inquired about is moved in the area in city and is carried out frequent degree sequence, therefore can obtain more
Meet this individual subscriber interest moves in urban area, is more met this individual subscriber interest
Lodging recommendation information, selects for user.If this user's historical record is not subscribed or inquiry
The area in city is moved in the appointment crossed, then subscribe or inquire about in the historical record according to all users
The appointment crossed move in city other area frequent degrees be ranked up, obtain by frequent degree by height to
The low appointment being ranked up is moved in the area in city and is moved in moving in of city currently hot topic as specifying
Urban area, obtain current hot topic moves in urban area entry, as recommending living of user
Place recommendation information, selects for user.
If default hotel name in the trip querying condition of user's input, then according to this user's historical record
The appointment of middle reservation or inquiry is moved in hotel's frequent degree of urban area and is ranked up, and obtains by frequency
The hotel of urban area is moved in the appointment that numerous degree is ranked up from high to low；Acquisition meets by frequently
Hotel's entry of urban area is moved in the appointment that degree is ranked up from high to low, due to by this user
The appointment subscribed in historical record or inquired about is moved in the hotel of urban area and is carried out frequent degree sequence
, therefore can obtain the hotel more meeting this individual subscriber interest, more be met this individual subscriber
The lodging recommendation information of interest, selects for user.If this user's historical record is not subscribed
Or the appointment inquired about moves in the hotel of urban area, then in the historical record according to all users
The appointment subscribed or inquired about is moved in other hotel's frequent degrees of urban area and is ranked up, and obtains
The appointment being ranked up from high to low by frequent degree moves in the hotel of urban area as current popular
Hotel, obtain current popular hotel's entry, as the lodging recommendation information recommending user
, select for user.
If the trip querying condition of user's input only have selected and moving in date and date of departure, then obtain
No
The hotel of ad eundem, as recommending the lodging recommendation information of user, selects for user.As pressed
The hotel of luxury and economical two kinds of grades is as the lodging recommendation information recommending user.
If the trip querying condition of user's input including and moves in city, moving in urban area, move in
When date, date of departure and hotel name, then subscribe according in this user's historical record or inquire about
The appointment crossed is moved in the appointment in city and is moved in urban area middle finger and name hotel's frequent degree of title and carry out
Sequence, obtains the hotel being ranked up from high to low by frequent degree, as recommending living of user
Place recommendation information, selects for user；If the appointment of user's input is moved in urban area do not refer to
Determine the hotel of hotel name, the then appointment subscribed or inquire about in the historical record according to all users
The hotel's frequent degree not limiting title moved in urban area is ranked up, obtain by frequent degree by
The hotel as current hot topic of the hotel in urban area is moved in the high to Low appointment being ranked up,
Obtain current popular hotel's entry, as recommending the lodging recommendation information of user, for user
Select.
Display module 304, goes on a journey recommendation for the user in recommendation information list that described user gone on a journey
Breath carries out entry to be shown for user's selection.
The user in recommendation information list that the described user obtained gone on a journey goes on a journey recommendation information by default
Entry number shows, selects for user.The entry number preset in the present embodiment is preferably 10, both
Fully showing the trip recommendation information selected for user, the most do not seem redundancy；When meeting of obtaining
When user inputs the trip recommendation information entry number of trip querying condition less than 10, show and obtain
Meet user input trip querying condition all trip recommendation information entries, provide the user
Select all feasible trip schemes.
Specifically, as shown in Figure 4, described calculating acquisition module 303 may include that calculating and setting unit
3031, acquiring unit 3032, wherein:
Calculating and setting unit 3031, goes on a journey recommendation information in historical record for calculating described user
Frequency height, and it is correspondingly arranged high low priority；
Acquiring unit 3032, for the priority height acquisition phase of recommendation information of going on a journey according to described user
The user answered goes on a journey recommendation information list.
A kind of intelligent recommendation method and device that the present invention proposes, looks into according to the trip that user is currently entered
Inquiry condition, in conjunction with historical record, obtains and meets user by what frequent degree was ranked up from high to low
The trip recommendation information of the querying condition of input, therefrom selects required trip scheme for user,
The portable degree thus greatly improve user's inquiry, selecting trip scheme and satisfaction.
The foregoing is only the preferred embodiments of the present invention, not thereby limit the scope of the claims of the present invention
, every equivalent structure utilizing description of the invention and accompanying drawing content to be made or flow process conversion, or
Directly or indirectly it is used in other relevant technical field, is the most in like manner included in the patent of the present invention
In protection domain.
Claims (8)
1. an intelligent recommendation method, it is characterised in that including:
Receive the trip querying condition of user's input；
From historical record, extract the user mated with described trip querying condition go on a journey recommendation information；
Go on a journey recommendation information based on described user, calculate with the priority rule set and obtain user and go on a journey recommendation
Information list；
The user in recommendation information list that described user is gone on a journey go on a journey recommendation information carry out entry show for
Family selects；
Wherein, described from historical record, extract the user mated with described trip querying condition go on a journey recommendation
The step of information includes
When default query elements in the trip querying condition that user is currently entered, extract the history of this user
The user meeting this query elements and described trip querying condition subscribing in record or inquiring about goes on a journey recommendation
Information；If the historical record of this user is not subscribed or inquired about meet this query elements and described in go out
The trip scheme of row querying condition, then extract meeting of subscribing in the historical record of all users or inquired about
The user of this query elements and described trip querying condition goes on a journey recommendation information.
Method the most according to claim 1, it is characterised in that the trip of described reception user input
The step of querying condition includes:
When trip recommendation information needed for user is traffic recommendation information, described trip querying condition is at least
Including one below: departure place, destination, sailing date and transport information, and when the friendship of user's selection
When logical instrument is aircraft, described transport information is Flight Information；
When trip recommendation information needed for user is lodging recommendation information, described trip querying condition is at least
Including one below: move in city, move in urban area, move in date, date of departure and lodging place name
Claim.
Method the most according to claim 1, it is characterised in that described go on a journey recommendation based on user
Breath, calculates with the priority rule set and obtains the go on a journey step of recommendation information list of user and include:
Calculate described user go on a journey recommendation information in historical record frequency height, and be correspondingly arranged height
Priority；
Obtain corresponding user go on a journey recommendation information according to the go on a journey priority height of recommendation information of described user
List.
Method the most according to claim 3, it is characterised in that described recommendation information that user is gone on a journey
User in list go on a journey recommendation information carry out entry show for user select step particularly as follows:
The user in recommendation information list that the described user obtained gone on a journey goes on a journey recommendation information by default bar
Mesh digital display shows, selects for user.
5. an intelligent recommendation device, it is characterised in that including:
Receiver module, for receiving the trip querying condition of user's input；
Extraction module, for extracting the user's trip mated with described trip querying condition from historical record
Recommendation information；
Calculate acquisition module, for going on a journey recommendation information based on described user, in terms of the priority rule set
Calculate and obtain user and go on a journey recommendation information list；
Display module, enters for the user in recommendation information list that described user gone on a journey recommendation information of going on a journey
Row entry is shown for user's selection；
Described extraction module is used for:
When default query elements in the trip querying condition that user is currently entered, extract the history of this user
The user meeting this query elements and described trip querying condition subscribing in record or inquiring about goes on a journey recommendation
Information；If the historical record of this user is not subscribed or inquired about meet this query elements and described in go out
The trip scheme of row querying condition, then extract meeting of subscribing in the historical record of all users or inquired about
The user of this query elements and described trip querying condition goes on a journey recommendation information.
Device the most according to claim 5, it is characterised in that including:
When trip recommendation information needed for user is traffic recommendation information, described trip querying condition is at least
Including one below: departure place, destination, sailing date and transport information, and when the friendship of user's selection
When logical instrument is aircraft, described transport information is Flight Information；
When trip recommendation information needed for user is lodging recommendation information, described trip querying condition is at least
Including one below: move in city, move in urban area, move in date, date of departure and lodging place name
Claim.
Device the most according to claim 5, it is characterised in that described calculating acquisition module includes:
Calculating and setting unit is high for calculating described user recommendation information frequency in historical record of going on a journey
Low, and it is correspondingly arranged high low priority；
Acquiring unit, for the priority corresponding use of height acquisition of recommendation information of going on a journey according to described user
Family trip recommendation information list.
Device the most according to claim 7, it is characterised in that described display module is used for:
The user in recommendation information list that the described user obtained gone on a journey goes on a journey recommendation information by default bar
Mesh digital display shows, selects for user.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310272372.5A CN103390031B (en) | 2013-07-01 | 2013-07-01 | Intelligent recommendation method and device |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201310272372.5A CN103390031B (en) | 2013-07-01 | 2013-07-01 | Intelligent recommendation method and device |
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| Publication Number | Publication Date |
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| CN103390031A CN103390031A (en) | 2013-11-13 |
| CN103390031B true CN103390031B (en) | 2016-12-28 |
Family
ID=49534303
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| Application Number | Title | Priority Date | Filing Date |
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| CN201310272372.5A Active CN103390031B (en) | 2013-07-01 | 2013-07-01 | Intelligent recommendation method and device |
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| CN (1) | CN103390031B (en) |
Families Citing this family (22)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103646069B (en) * | 2013-12-06 | 2017-04-19 | 北京奇虎科技有限公司 | Recommendation method and device for ticket service information |
| CN104714961B (en) * | 2013-12-13 | 2018-03-23 | 中国移动通信集团公司 | Recommend method, apparatus and system in a kind of lodging place |
| CN105976279A (en) * | 2016-05-26 | 2016-09-28 | 成都正合地产顾问股份有限公司 | House choosing method |
| CN107563710A (en) * | 2016-06-30 | 2018-01-09 | 上海博泰悦臻网络技术服务有限公司 | Trip recommendation method, system and electronic equipment |
| CN107562744A (en) * | 2016-06-30 | 2018-01-09 | 上海博泰悦臻网络技术服务有限公司 | Information recommendation method and system, electronic equipment and database |
| CN107798648A (en) * | 2016-09-07 | 2018-03-13 | 北京嘀嘀无限科技发展有限公司 | A kind of potential passenger of regular bus excavates processing method and server |
| CN106570102B (en) * | 2016-10-31 | 2021-01-22 | 努比亚技术有限公司 | Intelligent chatting method, device and terminal |
| CN106599092A (en) * | 2016-11-24 | 2017-04-26 | 宇龙计算机通信科技(深圳)有限公司 | Method and device for recommending tourist attractions |
| CN106844319B (en) * | 2016-12-21 | 2020-03-31 | 泰康保险集团股份有限公司 | Report generation method and device |
| CN106897782A (en) * | 2017-01-05 | 2017-06-27 | 北京趣拿信息技术有限公司 | The method and apparatus of information alert |
| CN107423833A (en) * | 2017-07-31 | 2017-12-01 | 北京会唐世纪科技有限公司 | Method is recommended in a kind of travel routing |
| CN107360329A (en) * | 2017-08-21 | 2017-11-17 | 深圳市迈迪加科技发展有限公司 | A kind of intelligent prompt method and device |
| CN107545491A (en) * | 2017-08-28 | 2018-01-05 | 北京三快在线科技有限公司 | A kind of data processing method and device of recommendation information |
| CN107992530A (en) * | 2017-11-14 | 2018-05-04 | 北京三快在线科技有限公司 | Information recommendation method and electronic equipment |
| CN108153814B (en) * | 2017-11-28 | 2022-01-04 | 北京趣拿软件科技有限公司 | Information pushing method and device |
| CN109084795B (en) * | 2018-08-20 | 2022-02-25 | 中国工商银行股份有限公司 | Method and device for searching service facilities based on map service |
| CN110929156A (en) * | 2019-11-28 | 2020-03-27 | 海南太美航空股份有限公司 | Method and system for directionally pushing flight information |
| CN111309230B (en) * | 2020-02-19 | 2021-12-17 | 北京声智科技有限公司 | Information display method and device, electronic equipment and computer readable storage medium |
| CN113297465A (en) * | 2020-07-01 | 2021-08-24 | 阿里巴巴集团控股有限公司 | Method and device for providing traffic scheme information and electronic equipment |
| CN112215453A (en) * | 2020-08-18 | 2021-01-12 | 汉海信息技术(上海)有限公司 | Inventory information processing method and device, electronic equipment and storage medium |
| CN113536128A (en) * | 2021-07-22 | 2021-10-22 | 青岛海信网络科技股份有限公司 | Recommendation method for transportation hub transfer mode and electronic equipment |
| CN113868532B (en) * | 2021-09-30 | 2022-11-01 | 北京百度网讯科技有限公司 | Location recommendation method and device, electronic equipment and storage medium |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007198769A (en) * | 2006-01-24 | 2007-08-09 | Nec Corp | System, method, server, and program for retrieval of movement route |
| CN103077489A (en) * | 2013-01-22 | 2013-05-01 | 苏州海客科技有限公司 | Prediction method of random demands of tourist user |
-
2013
- 2013-07-01 CN CN201310272372.5A patent/CN103390031B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007198769A (en) * | 2006-01-24 | 2007-08-09 | Nec Corp | System, method, server, and program for retrieval of movement route |
| CN103077489A (en) * | 2013-01-22 | 2013-05-01 | 苏州海客科技有限公司 | Prediction method of random demands of tourist user |
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