CN110457607A - A kind of partial journey information recommendation method, device, medium and electronic equipment - Google Patents
A kind of partial journey information recommendation method, device, medium and electronic equipment Download PDFInfo
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Abstract
Present disclose provides a kind of partial journey information recommendation method, device, medium and electronic equipments, this method comprises: obtaining at least one free time segment information of more people；At least one free time segment information based on more people determines the partly overlapping common free time segment information of more people；Obtain the identical tendency type characteristic information of more people；Within the partly overlapping common free period of more people, selective recommendation and the matched first instruction information of the identical tendency type characteristic information；In the not partly overlapping free time section of more people, the matched second indication information of tendency type characteristic information of selective recommendation and everyone.This method can be recommended by the period of the period and non-overlap that are overlapped to multiple users, improved user and gone out line efficiency, improve the satisfaction of user.
Description
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to a method, an apparatus, a medium, and an electronic device for recommending partial stroke information.
Background
With the development of internet technology, particularly the coming of the mobile internet era, the application development of various applications of the mobile phone end is promoted, and a lot of convenience is brought to people who frequently travel, for example, online booking of airline tickets and hotels can be performed through mobile phones, but people who have travel requirements often want to be able to travel with friends, but because the travel between friends is often not completely consistent, for example, in a 10-day travel, only 5 days may overlap, and in the overlapping time, people want to travel together, so that cheaper airline tickets or hotels can be obtained, and the travel is safer, but various inconveniences exist in the current newspaper travel, so that users who have such requirements often need to make separate booking of the travel, and spend a lot of time to arrange the overlapping travel.
Therefore, how to automatically recommend an optimal overlapping travel scheme according to the respective travel will bring great convenience to the travel of the user.
BRIEF SUMMARY OF THE PRESENT DISCLOSURE
An object of the present disclosure is to provide a partial stroke information recommendation method, apparatus, medium, and electronic device, which can solve at least one of the above-mentioned technical problems. The specific scheme is as follows:
according to a specific embodiment of the present disclosure, in a first aspect, the present disclosure provides a partial stroke information recommendation method, including:
acquiring at least one idle time period information of a plurality of persons;
determining common idle period information of the plurality of persons, which is partially overlapped, based on at least one idle period information of the plurality of persons;
acquiring the same tendency type characteristic information of the multiple persons;
selectively recommending first indication information matched with the same tendency-type feature information in a partially overlapped common idle time period of the plurality of persons;
and selectively recommending second indication information matched with the tendency type characteristic information of each person in the idle time period which is not partially overlapped by the plurality of persons.
Optionally, the obtaining the same tendency-type feature information of the multiple persons includes:
acquiring ID information of the multiple persons;
determining a personal representation of each user within a particular range based on the ID information;
analyzing tendency feature information of each user through the personal portrait, wherein the tendency feature information comprises geographic information, cultural information or diet information.
Optionally, the specific range includes: the client to which the calendar is attached and/or the client having an association with the client.
Optionally, the first indication information and/or the second indication information includes air ticket information, hotel information, or play item information.
Optionally, the selectively recommending first indication information matched with the same tendency-type feature information in the partially overlapped common idle time period of the plurality of people includes:
matching first indication information satisfying the partially overlapped common idle time periods of the plurality of persons and the same tendency-type feature information from an indication information database based on the partially overlapped common idle time periods of the plurality of persons and the same tendency-type feature information;
and recommending according to the priority of the same tendency type characteristic information or the priority of the first indication information.
Optionally, the recommending according to the priority of the same tendency-type feature information or the priority of the first indication information includes:
determining the priority of the same tendency type characteristic information according to the attention degrees of the geographic information, the cultural information and the diet information;
and determining the priority of the indication information according to the price index of the first indication information.
Optionally, the method further includes:
and displaying the first indication information and/or the second indication information in the calendar interface in a link form.
According to a specific embodiment of the present disclosure, in a second aspect, a partial stroke information recommendation apparatus includes:
the first acquisition unit is configured to acquire at least one piece of idle time period information of a plurality of persons;
a determining unit configured to determine common idle period information of the plurality of persons that partially overlap based on at least one idle period information of the plurality of persons;
a second acquiring unit configured to acquire the same tendency-type feature information of the plurality of persons;
a first recommending unit configured to selectively recommend first indication information matched with the same tendency-type feature information in a common idle time period of the plurality of persons that partially overlap;
and the second recommending unit is configured to selectively recommend the second indicating information matched with the tendency type characteristic information of each person in the idle time period of the plurality of persons, wherein the idle time period is not overlapped partially.
According to a third aspect, the present disclosure provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method of any one of the above.
According to a fourth aspect thereof, the present disclosure provides an electronic device, comprising: one or more processors; storage means for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to carry out a method as claimed in any preceding claim.
Compared with the prior art, the scheme of the embodiment of the disclosure at least has the following beneficial effects: the method can recommend reasonable travel within the overlapping time range by acquiring partial overlapping time of multiple persons, and recommends reasonable travel outside the partial overlapping time range, so that the multiple persons have travel common to friends and independent travel during the whole travel, and the travel pleasure is increased. Meanwhile, the travel of the user can be shared in a friend circle, so that the user can obtain the addition of others through the travel, the optimal travel of all the users in the overlapped time period, such as the cheapest airline ticket, the most appropriate travel destination and the like, is automatically calculated based on the addition of a plurality of users and the preference of all the users, the user can complete the key programs in all the travels only by clicking and accepting the recommendation, the travel efficiency of the user is improved, and the satisfaction degree of the user is improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure. It is to be understood that the drawings in the following description are merely exemplary of the disclosure, and that other drawings may be derived from those drawings by one of ordinary skill in the art without the exercise of inventive faculty. In the drawings:
fig. 1 illustrates an application scenario diagram of a partial trip information recommendation method according to an embodiment of the present disclosure;
FIG. 2 illustrates a flow diagram of a partial trip information recommendation method according to an embodiment of the disclosure;
FIG. 3 illustrates a schematic diagram of an application scenario for joining a partial trip, according to an embodiment of the present disclosure;
FIG. 4 illustrates a partial travel information recommendation client calendar interface schematic according to an embodiment of the present disclosure;
FIG. 5 shows a schematic diagram of a recommender configuration according to an embodiment of the present disclosure;
fig. 6 shows an electronic device connection structure schematic according to an embodiment of the present disclosure.
Detailed Description
To make the objects, technical solutions and advantages of the present disclosure clearer, the present disclosure will be described in further detail with reference to the accompanying drawings, and it is apparent that the described embodiments are only a part of the embodiments of the present disclosure, rather than all embodiments. All other embodiments, which can be derived by one of ordinary skill in the art from the embodiments disclosed herein without making any creative effort, shall fall within the scope of protection of the present disclosure.
The terminology used in the embodiments of the present disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. As used in the disclosed embodiments and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise, and "a plurality" typically includes at least two.
It should be understood that the term "and/or" as used herein is merely one type of association that describes an associated object, meaning that three relationships may exist, e.g., a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
It should be understood that although the terms first, second, third, etc. may be used to describe … … in embodiments of the present disclosure, these … … should not be limited to these terms. These terms are used only to distinguish … …. For example, the first … … can also be referred to as the second … … and, similarly, the second … … can also be referred to as the first … … without departing from the scope of embodiments of the present disclosure.
The words "if", as used herein, may be interpreted as "at … …" or "at … …" or "in response to a determination" or "in response to a detection", depending on the context. Similarly, the phrases "if determined" or "if detected (a stated condition or event)" may be interpreted as "when determined" or "in response to a determination" or "when detected (a stated condition or event)" or "in response to a detection (a stated condition or event)", depending on the context.
It is also noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that an article or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such article or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in the article or device in which the element is included.
Alternative embodiments of the present disclosure are described in detail below with reference to the accompanying drawings.
Example 1
As shown in fig. 1, an application scenario diagram according to an embodiment of the present disclosure is provided, where the application scenario is to provide an application program with a theme of travel, and the application program includes four parts of "inspiration", "calendar", "circle of friends", and "my", where, by "inspiration", the application program may actively issue some travel introductions all over the world, such as air ticket information, hotel information, entrance ticket information, etc., in the form of words and/or pictures at irregular intervals, so that a user may browse and obtain the information at any time. The 'calendar' part provides an interface in the form of a calendar, the interface actively pushes and displays the travel information suitable for the user, and the user can click to acquire the recommendation detailed information. The 'circle of friends' can be used for users to share the itineraries or dates which are determined by the users, and other people can click to join the itineraries of the friends. The "My" section displays the detailed itinerary for the individual. However, the present invention is not limited to this unique application scenario, and any scenario that can be applied to the present embodiment is included, and for convenience of description, the present embodiment takes the application scenario of the travel application as an example.
As shown in fig. 2, according to an embodiment of the present disclosure, the present disclosure provides a partial stroke information recommendation method, including the following method steps:
step S202: at least one idle period information of a plurality of persons is acquired.
This can be achieved, for example, as follows.
In one embodiment, the free time period of the user is directly obtained based on the calendar interface, and the free time period can be continuous or discontinuous.
In an embodiment, first travel information issued by a first user is received based on a friend circle interface, and the first travel information includes first time information and first place information.
The friend circle interface, an interface belonging to travel applications, is shown in FIG. 1, and is similar to the WeChat friend circle interface, including user avatars, such as user A, B, C, and date or travel information posted by user A, B, C.
The user refers to a person using the application program, the user can register and log in when using the travel application program, the ID of the user is recorded in the background to obtain the user image under the ID, the user can log in a third party authorization mode, for example, the user logs in through WeChat, Paibao and QQ, and the third party information of the user is recorded in the background to obtain the related user image.
And acquiring the free time of the user within a certain time period based on the calendar. The user can set user-defined parameters in the calendar of the client, wherein the parameters comprise a period of time range, recommendation information receiving or not receiving, a free time range and the like which are set by the user according to the condition of the user. And determining the free time of the user within a certain time period based on the set parameters.
The free time in a certain time period may refer to idle time in a week, a month, a half year or a year, the system may arbitrarily select a certain time period for statistics, and the certain time period may also be set by the user, for example, a month is set as a unit for acquiring the recommendation information. Of course, it may be set that the recommendation information is not accepted within a certain period of time, for example, the recommendation information is not accepted in 7-8 months. Wherein the free time defaults to a statutory holiday, such as saturday, spring festival, etc. The free time may be set by the user himself, for example, during summer holiday, cold holiday, etc.
As shown in fig. 4, the calendar refers to an independent part embedded in the application program and indicating the date, and the calendar can be turned in a unit of month as a page and cyclically arranged in a unit of week every month.
The information of each day in the calendar is marked in a background database in the form of a time tag, when relevant data of the day occurs and is associated with a relevant date table in the calendar, the information can be displayed in the calendar table of the day, for example, 1500 yuan of a minimum discount air ticket of Beijing Feitojing flying Tokyo in 2019, 7 months and 18 days.
Based on the recommended itinerary for the client, the user may share the itinerary to the friends circle interface of the client. For example, the a user will travel in japan from 10.7.2019 to 20.7.2019, where travel places include tokyo, osaka, and celebrity houses. As shown in fig. 1.
Secondly, receiving operation that at least one second user joins the first journey information; the operation of adding the first trip information comprises an operation of issuing second trip information, the second trip information has an association relation with the first trip information, and the second trip information comprises second time information and second location information.
Step S204: determining common idle period information of the plurality of persons that partially overlap based on at least one idle period information of the plurality of persons.
For example, the association relationship includes: the first time information and the second time information have overlap, and the overlapped time period is determined as partially overlapped common idle time period information of multiple persons.
As shown in FIG. 3, when the A1 or A2 or A3 user sees the itinerary posted by the A user, the itinerary can be clicked on to view detailed information, including specific times, places, etc. If the user of A1 or A2 or A3 wishes, the user can join the journey, which indicates that the users have the same requirements in the approximate time and place range, but the requirements are not completely the same, for example, the time desired by A1 is 7/15/2019-7/25/2019, the places are Tokyo, Shuibin and Shenhu in Japan, the time desired by A2 is 7/16/2019-7/26/2019, the places are Tokyo, Kyoto and Canada in Japan, the time desired by A3 is 7/17/2019-7/27/Onaga in Japan, and the places are Tokyo, Xianta and Fu in Japan. The a1 or a2 or A3 user, respectively, may modify their trip and join the trip of a.
Determining third travel information based on the first travel information and the second travel information, the third travel information including third time information and third location information.
According to the itinerary arrangement of A and A1, A2 and A3, the overlapping time of A and A1, A2 and A3 is counted to be 17 days in 7 months in 2019 and four days in 20 months in 7 months in 2019, and the overlapping place is Tokyo, so that the common itineraries of A and A1, A2 and A3 are determined.
Step S206: and acquiring the same tendency type characteristic information of the plurality of persons.
For example, personal images of the first user and at least one second user are obtained, tendency type feature information of the first user and the at least one second user is analyzed, and the same tendency type feature information of the first user and the at least one second user is obtained.
The personal portrait is also called a user portrait, and refers to all behavioral event information (e.g., route information) and non-behavioral event information (e.g., hobby information) about an individual collected in the internet through various personal information such as name, telephone, identification number, etc., and these information are obtained through behavior statistics such as clicking, viewing, purchasing, etc. of the user at each client of the internet.
The ID information of a plurality of users can be obtained through the steps, for example, 10 ID information exists among 10 users with a common trip, after the client obtains the 10 ID information, the client obtains the user portrait under the user ID, and the user portrait is subjected to big data analysis.
Optionally, the acquiring personal images of the first user and the at least one second user, and analyzing tendency-type feature information of the first user and the at least one second user includes:
firstly, acquiring ID information of the first user and at least one second user.
Each user inputs own ID information when logging in the client, and the client can obtain all ID information when using the client, wherein the ID information comprises but is not limited to names, identification numbers, mobile phone numbers and other information which can uniquely determine the user identity.
Second, a personal representation of each user within a particular range is determined based on the ID information.
Optionally, the specific range includes: and the client to which the friend circle interface is attached and/or the client having an association relation with the client.
The client to which the friend circle interface is attached refers to an application program which comprises the friend circle interface and takes travel as a theme, as shown in fig. 1. The client with the association relation refers to other clients belonging to one operator, such as QQ and WeChat, jittering sound, watermelon video and the like.
Thirdly, tendency type characteristic information of the first user and at least one second user is analyzed through the personal portrait, and the tendency type characteristic information comprises geographic information, cultural information or diet information.
The tendency-type characteristic information includes geographical information, cultural information, or diet information, and a place that the user likes is inferred, for example, by gathering place names (e.g., japan) that the user frequently browses. Deducing that the user likes tea culture and the like by gathering cultural information (such as tea culture) viewed by the user.
Step S208: selectively recommending first indication information matching the same tendency-type feature information during the partially overlapping common idle time period of the plurality of persons.
After the common journey of A and A1, A2 and A3 is determined according to the method, the recommendation information can be given according to the characteristics of interests, hobbies and the like of A and A1, A2 and A3.
And selectively recommending first indication information matched with the same tendency type characteristic information in the third time information, wherein the first indication information comprises air ticket information, hotel information or play item information.
Optionally, the selectively recommending, in the third time information, first indication information that matches the same tendency-type feature information includes:
step S2082: matching, from an indication information database, indication information satisfying the third time information and the same tendency-type feature information based on the third time information and the same tendency-type feature information;
step S2084: and recommending according to the priority of the same tendency type characteristic information or the priority of the indication information.
The size of the indication information database and the background server are maintained by a merchant, and the database can be classified and stored, for example, according to place names, such as tokyo, new york, and parji, and under the classification of tokyo, the indication information database includes flight ticket information from beijing to tokyo, hotel information from tokyo, and food information from tokyo. The travel items can be classified according to travel items, such as skiing items, maritime items, grassland items, mountaineering items and the like, and the maritime items can include airplane tickets of Beijing to Puji, Madaver, Hawaii, hotels, food information and the like.
Optionally, the recommending according to the priority of the trend-type characteristic information or the priority of the indication information includes:
determining the priority of the tendency type characteristic information according to the attention degrees of the geographic information, the cultural information and the diet information; and determining the priority of the indication information according to the price index of the indication information.
The attention can be determined according to a rough proportion by a user portrait, for example, if the user frequently browses information of Japan, the attention of the user to Japanese items is high, and all items related to Japan have higher priority than other items.
The price index of the indication information can be determined by the price of a computer ticket or a hotel, and the lower the price, the higher the index is, the more worthy of recommendation is.
Step S210: and selectively recommending second indication information matched with the tendency type characteristic information of each person in the idle time period which is not partially overlapped by the plurality of persons. The second indication information includes air ticket information, hotel information, or play item information.
After the itineraries of A, A1, A2 and A3 are determined according to the method, the recommendation information can be determined according to the characteristics of the interests, hobbies and the like of A, A1, A2 and A3.
Optionally, during the non-partially overlapped idle time period of the plurality of persons, selectively recommending second indication information matched with the tendency-type feature information of each person, including:
step S2102: matching indication information satisfying the non-partially overlapped idle time periods and the tendency type feature information of each person from an indication information database based on the non-partially overlapped idle time periods and the tendency type feature information of each person;
step S2104: and recommending according to the priority of each person tendency type characteristic information or the priority of the second indication information.
The size of the indication information database and the background server are maintained by a merchant, and the database can be classified and stored, for example, according to place names, such as tokyo, new york, and parji, and under the classification of tokyo, the indication information database includes flight ticket information from beijing to tokyo, hotel information from tokyo, and food information from tokyo. The travel items can be classified according to travel items, such as skiing items, maritime items, grassland items, mountaineering items and the like, and the maritime items can include airplane tickets of Beijing to Puji, Madaver, Hawaii, hotels, food information and the like.
Optionally, the recommending according to the priority of the trend-type characteristic information or the priority of the indication information includes:
determining the priority of the tendency type characteristic information according to the attention degrees of the geographic information, the cultural information and the diet information; and determining the priority of the indication information according to the price index of the indication information.
The attention can be determined according to a rough proportion by a user portrait, for example, if the user frequently browses information of Japan, the attention of the user to Japanese items is high, and all items related to Japan have higher priority than other items.
The price index of the indication information can be determined by the price of a computer ticket or a hotel, and the lower the price, the higher the index is, the more worthy of recommendation is.
Optionally, the method further comprises the steps of:
step S212: and displaying the first indication information and/or the second indication information in a calendar interface in a linked mode. The indication information includes air ticket information, hotel information or play item information.
Each user can directly arrive at the third-party merchant platform by clicking the corresponding link, for example, the user can arrive at the travel-by-travel APP through the link to issue an order of an air ticket or a hotel, or directly arrive at a national aviation website to issue an order of an air ticket.
Optionally, the method further includes:
step S214: receiving a confirmation operation of a user based on at least one piece of the indication information displayed on the calendar interface; and responding to the confirmation operation, and automatically synchronizing the indication information by the friend circle interface.
As shown in fig. 4, once the user accepts the itinerary recommended by the application, a sharing interface may be automatically popped up or manually selected on the accepting interface, and the user determines whether to share his/her own formation to the friend circle interface of the application. If the user chooses to share the own journey, the air ticket information, the date information, the destination information, the hotel information and the like of the user can be published through the friend circle interface.
By providing the partial journey information recommendation method, reasonable journeys can be recommended in the overlapping time range by acquiring the partial overlapping time of multiple persons, and the reasonable journeys are recommended outside the partial overlapping time range, so that the multiple persons have the common journeys with friends and the independent journeys in the whole journey process, and the pleasure of the journeys is increased. Meanwhile, the travel of the user can be shared in a friend circle, so that the user can obtain the addition of others through the travel, the optimal travel of all the users in the overlapped time period, such as the cheapest airline ticket, the most appropriate travel destination and the like, is automatically calculated based on the addition of a plurality of users and the preference of all the users, the user can complete the key programs in all the travels only by clicking and accepting the recommendation, the travel efficiency of the user is improved, and the satisfaction degree of the user is improved.
Example 2
As shown in fig. 1, an application scenario diagram according to an embodiment of the present disclosure is provided, where the application scenario is to provide an application program with a theme of travel, and the application program includes four parts of "inspiration", "calendar", "circle of friends", and "my", where, by "inspiration", the application program may actively issue some travel introductions all over the world, such as air ticket information, hotel information, entrance ticket information, etc., in the form of words and/or pictures at irregular intervals, so that a user may browse and obtain the information at any time. The 'calendar' part provides an interface in the form of a calendar, the interface actively pushes and displays the travel information suitable for the user, and the user can click to acquire the recommendation detailed information. The 'circle of friends' can be used for users to share the itineraries or dates which are determined by the users, and other people can click to join the itineraries of the friends. The "My" section displays the detailed itinerary for the individual. However, the present invention is not limited to this unique application scenario, and any scenario that can be applied to the present embodiment is included, and for convenience of description, the present embodiment takes the application scenario of the travel application as an example. The embodiment is similar to embodiment 1 in the explanation of the method steps for implementing the method steps as described in embodiment 1 based on the same names and meanings, and has the same technical effects as embodiment 1, and thus the description thereof is omitted.
As shown in fig. 5, according to an embodiment of the present disclosure, the present disclosure provides a partial stroke information recommendation apparatus, including: a first obtaining unit 502, a determining unit 504, a second obtaining unit 506, a first recommending unit 508, and a second recommending unit 510.
A first obtaining unit 502 configured to obtain at least one idle period information of a plurality of persons based on a calendar;
a determining unit 504 configured to determine, based on at least one idle period information of the plurality of persons, a common idle period information of the plurality of persons that partially overlap;
a second obtaining unit 506 configured to obtain the same tendency-type feature information of the multiple persons;
a first recommending unit 508 configured to selectively recommend first indication information matching the same tendency-type feature information in a common idle period of the plurality of persons that partially overlap;
a second recommending unit 510 configured to selectively recommend second indicating information matching the tendency type characteristic information of each person during the idle time period of the plurality of persons which is not partially overlapped.
Optionally, the first obtaining unit 502 is further configured to:
acquiring ID information of the multiple persons;
determining a personal representation of each user within a particular range based on the ID information;
analyzing tendency feature information of each user through the personal portrait, wherein the tendency feature information comprises geographic information, cultural information or diet information.
The specific ranges include: the client to which the calendar is attached and/or the client having an association with the client.
The first indication information and/or the second indication information includes air ticket information, hotel information, or play item information.
Optionally, the first recommending unit 508 is further configured to:
matching first indication information satisfying the partially overlapped common idle time periods of the plurality of persons and the same tendency-type feature information from an indication information database based on the partially overlapped common idle time periods of the plurality of persons and the same tendency-type feature information;
and recommending according to the priority of the same tendency type characteristic information or the priority of the first indication information.
Wherein the recommending according to the priority of the same tendency-type feature information or the priority of the first indication information includes:
determining the priority of the same tendency type characteristic information according to the attention degrees of the geographic information, the cultural information and the diet information;
and determining the priority of the indication information according to the price index of the first indication information.
Optionally, a display unit (not shown) is further included to display the first indication information and/or the second indication information in the calendar interface in a linked form.
Optionally, the method further includes: sharing unit (not shown): receiving a confirmation operation of a user based on at least one piece of the indication information displayed on the calendar interface; and responding to the confirmation operation, and automatically synchronizing the indication information by the friend circle interface.
The device can recommend reasonable travel in the overlapping time range by acquiring the partial overlapping time of a plurality of persons, and simultaneously recommends reasonable travel outside the partial overlapping time range, so that the plurality of persons have common travel with friends and own independent travel in the whole travel process, and the travel pleasure is increased. Meanwhile, the travel of the user can be shared in a friend circle, so that the user can obtain the addition of others through the travel, the optimal travel of all the users in the overlapped time period, such as the cheapest airline ticket, the most appropriate travel destination and the like, is automatically calculated based on the addition of a plurality of users and the preference of all the users, the user can complete the key programs in all the travels only by clicking and accepting the recommendation, the travel efficiency of the user is improved, and the satisfaction degree of the user is improved.
Example 3
As shown in fig. 6, the present embodiment provides an electronic device for travel recommendation, including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the one processor to cause the at least one processor to perform the method steps of the above embodiments.
Example 4
The disclosed embodiments provide a non-volatile computer storage medium having stored thereon computer-executable instructions that may perform the method steps as described in the embodiments above.
Example 5
Referring now to FIG. 6, shown is a schematic diagram of an electronic device suitable for use in implementing embodiments of the present disclosure. The terminal device in the embodiments of the present disclosure may include, but is not limited to, a mobile terminal such as a mobile phone, a notebook computer, a digital broadcast receiver, a PDA (personal digital assistant), a PAD (tablet computer), a PMP (portable multimedia player), a vehicle terminal (e.g., a car navigation terminal), and the like, and a stationary terminal such as a digital TV, a desktop computer, and the like. The electronic device shown in fig. 6 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 6, the electronic device may include a processing means (e.g., a central processing unit, a graphics processor, etc.) 601, which may perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)602 or a program loaded from a storage means 608 into a Random Access Memory (RAM) 603. In the RAM 603, various programs and data necessary for the operation of the electronic apparatus are also stored. The processing device 601, the ROM 602, and the RAM 603 are connected to each other via a bus 605. An input/output (I/O) interface 605 is also connected to bus 605.
Generally, the following devices may be connected to the I/O interface 605: input devices 606 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 605 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, etc.; storage 608 including, for example, tape, hard disk, etc.; and a communication device 605. The communication device 605 may allow the electronic device to communicate with other devices wirelessly or by wire to exchange data. While fig. 6 illustrates an electronic device having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided.
In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication device 605, or installed from the storage device 608, or installed from the ROM 602. The computer program, when executed by the processing device 601, performs the above-described functions defined in the methods of the embodiments of the present disclosure.
It should be noted that the computer readable medium in the present disclosure can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In contrast, in the present disclosure, a computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device.
Computer program code for carrying out operations for aspects of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present disclosure may be implemented by software or hardware. Where the name of an element does not in some cases constitute a limitation on the element itself.
Claims (10)
1. A partial stroke information recommendation method is characterized by comprising the following steps:
acquiring at least one idle time period information of a plurality of persons;
determining common idle period information of the plurality of persons, which is partially overlapped, based on at least one idle period information of the plurality of persons;
acquiring the same tendency type characteristic information of the multiple persons;
selectively recommending first indication information matched with the same tendency-type feature information in a partially overlapped common idle time period of the plurality of persons;
and selectively recommending second indication information matched with the tendency type characteristic information of each person in the idle time period which is not partially overlapped by the plurality of persons.
2. The method of claim 1, wherein said obtaining the same tendency-type feature information of the plurality of persons comprises:
acquiring ID information of the multiple persons;
determining a personal representation of each user within a particular range based on the ID information;
analyzing tendency feature information of each user through the personal portrait, wherein the tendency feature information comprises geographic information, cultural information or diet information.
3. The method of claim 2, wherein the particular range comprises: a client to which the calendar is attached and/or a client having an association with the client.
4. The method of claim 1, wherein the first indication information and/or the second indication information comprises air ticket information, hotel information, or play item information.
5. The method of claim 4, wherein selectively recommending first indication information that matches the same trend-type characteristic information during the partially overlapping common idle time period of the plurality of persons comprises:
matching first indication information satisfying the partially overlapped common idle time periods of the plurality of persons and the same tendency-type feature information from an indication information database based on the partially overlapped common idle time periods of the plurality of persons and the same tendency-type feature information;
and recommending according to the priority of the same tendency type characteristic information or the priority of the first indication information.
6. The method of claim 5, wherein the recommending according to the priority of the same tendency-type feature information or the priority of the first indication information comprises:
determining the priority of the same tendency type characteristic information according to the attention degrees of the geographic information, the cultural information and the diet information;
and determining the priority of the indication information according to the price index of the first indication information.
7. The method of claim 1, further comprising:
and displaying the first indication information and/or the second indication information in the calendar interface in a link form.
8. A partial stroke information recommendation apparatus, comprising:
the first acquisition unit is configured to acquire at least one piece of idle time period information of a plurality of persons;
a determining unit configured to determine common idle period information of the plurality of persons that partially overlap based on at least one idle period information of the plurality of persons;
a second acquiring unit configured to acquire the same tendency-type feature information of the plurality of persons;
a first recommending unit configured to selectively recommend first indication information matched with the same tendency-type feature information in a common idle time period of the plurality of persons that partially overlap;
and the second recommending unit is configured to selectively recommend the second indicating information matched with the tendency type characteristic information of each person in the idle time period of the plurality of persons, wherein the idle time period is not overlapped partially.
9. A computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, carries out the method according to any one of claims 1 to 7.
10. An electronic device, comprising:
one or more processors;
storage means for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to carry out the method of any one of claims 1 to 7.
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| CN201910717411.5A CN110457607A (en) | 2019-08-05 | 2019-08-05 | A kind of partial journey information recommendation method, device, medium and electronic equipment |
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| CN201910717411.5A CN110457607A (en) | 2019-08-05 | 2019-08-05 | A kind of partial journey information recommendation method, device, medium and electronic equipment |
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