CN114595345A - Interest point-based airborne entertainment information recommendation system and method - Google Patents
Interest point-based airborne entertainment information recommendation system and method Download PDFInfo
- Publication number
- CN114595345A CN114595345A CN202210210649.0A CN202210210649A CN114595345A CN 114595345 A CN114595345 A CN 114595345A CN 202210210649 A CN202210210649 A CN 202210210649A CN 114595345 A CN114595345 A CN 114595345A
- Authority
- CN
- China
- Prior art keywords
- passenger
- audio
- video
- flight
- target
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 71
- 238000004458 analytical method Methods 0.000 claims description 5
- 238000004364 calculation method Methods 0.000 claims description 4
- 238000005516 engineering process Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/40—Information retrieval; Database structures therefor; File system structures therefor of multimedia data, e.g. slideshows comprising image and additional audio data
- G06F16/43—Querying
- G06F16/435—Filtering based on additional data, e.g. user or group profiles
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9536—Search customisation based on social or collaborative filtering
Landscapes
- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses an on-board entertainment information recommendation system and method based on interest points, the recommendation system comprises a passenger database, an on-demand database, a recommendation judgment module, an associated passenger selection module and a recommendation control module, the passenger database is used for storing flight information and on-demand information of passengers, the on-demand database is used for storing audio and video information which can be on-demand in the flight process, the recommendation judging module acquires that a certain passenger on the current airplane is a target passenger, judging whether to recommend audio and video information for the target passenger according to the latest flight information and the on-demand information of the target passenger, if the audio and video information is judged to be recommended to the target passenger, the associated passenger selecting module selects the passenger from the passenger database as the associated passenger of the target passenger, and the recommendation control module recommends audio and video information for the target passenger according to the on-demand information of the associated passenger.
Description
Technical Field
The invention relates to the technical field of airborne entertainment, in particular to an airborne entertainment information recommendation system and method based on points of interest.
Background
Along with the increase of the number of passengers and the improvement of the boarding frequency of the passengers in China, the requirements of the passengers on various services and facilities on the airplane are higher and higher, and an airborne entertainment system is developed. The airborne entertainment system is an important component of a civil aviation airplane cabin system, which provides entertainment means for passengers in an airplane cabin during air travel. Due to the special requirements of flight environment, the use of the wireless network is limited, so many airborne entertainment systems mainly use audio/video on demand services, but in the existing situation, a technology for recommending audio/video when passengers use the airborne entertainment systems in the flight process is lacked.
Disclosure of Invention
The invention aims to provide an on-board entertainment information recommendation system and method based on points of interest, so as to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: an airborne entertainment information recommendation system based on points of interest comprises a passenger database, an on-demand database, a recommendation judgment module, a related passenger selection module and a recommendation control module, the passenger database is used for storing flight information and on-demand information of passengers, the on-demand database is used for storing audio and video information which can be on-demand in the flight process, the recommendation judging module acquires that a certain passenger on the current airplane is a target passenger, judging whether to recommend audio and video information for the target passenger according to the latest flight information and the on-demand information of the target passenger, if the audio-video information is judged to be recommended to the target passenger, the associated passenger selecting module selects the passenger as the associated passenger of the target passenger from the passenger database, and the recommendation control module recommends audio and video information for the target passenger according to the on-demand information of the associated passenger.
Further, the recommendation judging module comprises an intention index calculating module and an intention index comparing module, wherein the intention index calculating module obtains an intention index R of the target passenger as b/f, wherein b is the frequency of ordering by using an ordering database in the historical flight of the target passenger, f is the total frequency of the historical flight of the target passenger, the intention index comparing module compares the intention index of the target passenger with an intention threshold, and if the intention index of the target passenger is greater than the intention threshold, the target passenger is judged to be recommended with audio and video information.
Further, the associated passenger selecting module includes a candidate passenger selecting module, an audio and video set obtaining module, a reference audio and video selecting module, a flight playing analyzing module, an associated index calculating module and an associated index judging module, the candidate passenger selecting module obtains flight parameters of the target passenger and each passenger in the passenger data, if the flight parameter of a certain passenger in the passenger data is located in the fluctuation range of the flight parameter of the target passenger, the passenger is the candidate passenger, wherein the flight parameter of the certain passenger is the average value of the flight duration of the passenger in the historical flight process, the flight duration is the flight landing time minus the flight takeoff time, the audio and video set obtaining module obtains the audio and video set J { c1, c2,. ck..., cm }, wherein ck is the kth on-demand audio and video of the target passenger, m is the total number of videos and audios which are historically ordered by the target passenger, the reference video and audio selection module sets the superposed videos and audios in the videos and audio set J of a certain candidate passenger to be the reference videos and audios of the candidate passenger, and the flight play analysis module is used for calculating
Wherein q isiThe total playing time length v of the on-demand audio and video in the flight process of the ith reference audio and video for the candidate passenger to on-demandiThe flight time of the ith reference audio and video in the flight process is requested to the candidate passenger, qiThe total playing time length v of the on-demand audio and video in the flight process of the ith reference audio and video for the target passenger to orderiThe association index calculation module calculates the association index of a candidate passenger in the flight process of the ith reference audio/video requested by the target passenger
Wherein d is the reference tone of the candidate passengerNumber of videos, YiThe overlapping duration of the ith reference audio and video played for the candidate passenger and the ith reference audio and video played for the target passenger, XiThe duration h of the ith reference video of the candidate passengeriThe association index judging module compares the association index of a candidate passenger with an association threshold, and if the association index of the candidate passenger is greater than the association threshold, the candidate passenger is the associated passenger of the target passenger.
Further, the recommendation control module comprises an on-demand obtaining module and a recommendation module, the on-demand obtaining module is used for obtaining on-demand audios and videos of each relevant passenger of the target passenger in the latest flight process, and the recommendation module recommends the audios and videos obtained by the on-demand obtaining module to the target passenger.
A point-of-interest-based onboard entertainment information recommendation method comprises the following steps:
a passenger database and an on-demand database are established, wherein the passenger database is used for storing flight information and on-demand information of passengers, and the on-demand database is used for storing audio and video information which can be on-demand in the flight process;
acquiring a certain passenger on the current airplane as a target passenger, judging whether to recommend audio and video information for the target passenger according to the latest flight information and on-demand information of the target passenger, if so, selecting the passenger as the related passenger of the target passenger from a passenger database,
and recommending audio and video information for the target passenger according to the on-demand information of the associated passenger.
Further, the judging whether to recommend the audio/video information for the target passenger includes:
acquiring the intention index R of the target passenger as b/f, wherein b is the number of times of ordering by using an ordering database in the historical flight of the target passenger, f is the total number of times of historical flight of the target passenger,
and if the intention index of the target passenger is larger than the intention threshold value, judging that the audio-video information is recommended for the target passenger.
Further, the selecting the passenger from the passenger database as the associated passenger of the target passenger comprises:
acquiring flight parameters of the target passenger and each passenger in the passenger data, if the flight parameter of a certain passenger in the passenger data is within the fluctuation range of the flight parameter of the target passenger, the passenger is a candidate passenger,
acquiring a historical on-demand audio and video set J of a target passenger { c1, c2,. ck..., cm }, wherein ck is the kth on-demand audio and video of the target passenger, and m is the total number of the historical on-demand audio and video of the target passenger;
setting the overlapped audio and video in the audio and video set J and the history ordered audio and video of a certain candidate passenger as the reference audio and video of the candidate passenger, and calculating the association index of the candidate passenger
Wherein d is the number of reference audios and videos of the candidate passenger, and YiThe overlapping duration of the ith reference audio and video played for the candidate passenger and the ith reference audio and video played for the target passenger, XiThe duration h of the ith reference video of the candidate passengeriThe playing time length of the ith reference audio and video for the candidate passenger is shown, H is the sum of the playing time lengths of the d reference audio and video for the candidate passenger,
wherein q isiThe total playing time length v of the on-demand audio and video in the flight process of the ith reference audio and video for the candidate passenger to on-demandiThe flight time of the ith reference audio and video in the flight process is requested to the candidate passenger, qiThe total playing time length v of the on-demand audio and video in the flight process of the ith reference audio and video for the target passenger to orderiThe ith reference audio and video is requested to fly for the target passengerDuration of flight in flight;
if the association index of a candidate passenger is greater than the association threshold, then the candidate passenger is the associated passenger of the target passenger.
Further, the obtaining the flight parameters of the target passenger and each passenger in the passenger data includes:
the flight parameter of a certain passenger is the average value of the flight time length of the passenger in the historical flight process, wherein the flight time length is the flight landing time minus the flight takeoff time.
Further, the recommending audio and video information for the target passenger comprises:
and recommending the on-demand audios and videos of each associated passenger of the target passengers in the last flight process to the target passengers.
Compared with the prior art, the invention has the following beneficial effects: according to the method and the device, the associated passengers are selected according to the flight information of the target passengers and the on-demand information in the flight process, the interest conditions of the target passengers and the associated passengers on the audios and videos are considered in selecting the associated passengers, the similar conditions of the target passengers and the associated passengers on the flight condition of the airplane are also considered, the selected associated passengers are more reasonable, and therefore appropriate audio and video recommendation can be provided for the passengers according to the on-demand audio and video conditions of each associated passenger in the latest flight process, and the flight experience of the passengers is improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a block diagram of a point of interest based on-board entertainment information recommendation system according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention provides a technical solution: an airborne entertainment information recommendation system based on points of interest comprises a passenger database, an on-demand database, a recommendation judgment module, a related passenger selection module and a recommendation control module, the passenger database is used for storing flight information and on-demand information of passengers, the on-demand database is used for storing audio and video information which can be on-demand in the flight process, the recommendation judging module acquires that a certain passenger on the current airplane is a target passenger, judging whether to recommend audio and video information for the target passenger according to the latest flight information and the on-demand information of the target passenger, if the audio-video information is judged to be recommended to the target passenger, the associated passenger selecting module selects the passenger as the associated passenger of the target passenger from the passenger database, and the recommendation control module recommends audio and video information for the target passenger according to the on-demand information of the associated passenger.
The recommendation judging module comprises an intention index calculating module and an intention index comparing module, wherein the intention index calculating module obtains the intention index R of the target passenger as b/f, wherein b is the frequency of ordering by using an ordering database in the historical flight of the target passenger, f is the total frequency of the historical flight of the target passenger, the intention index comparing module compares the intention index of the target passenger with an intention threshold, and if the intention index of the target passenger is larger than the intention threshold, the target passenger is judged to be recommended with audio and video information.
The relevant passenger selection module comprises a candidate passenger selection module, an audio and video set acquisition module, a reference audio and video selection module, a flight play analysis module, a relevant index calculation module and a relevant index judgment module, the candidate passenger selection module acquires flight parameters of a target passenger and passengers in passenger data, if the flight parameters of a certain passenger in the passenger data are located in the fluctuation range of the flight parameters of the target passenger, the passenger is a candidate passenger, wherein the flight parameters of the certain passenger are the passengerThe average value of the flight time in the historical flight process of the passenger is obtained, wherein the flight time is the flight landing time minus the flight takeoff time, the audio and video set acquisition module acquires an audio and video set J (c 1c 2.. ck..., cm.) historically requested by a target passenger, wherein ck is the k-th requested audio and video of the target passenger, m is the total number of the historically requested audio and video of the target passenger, the reference audio and video selection module sets the overlapped audio and video in the historically requested audio and video set J of a certain candidate passenger as the reference audio and video of the candidate passenger, and the flight play analysis module is used for calculating the reference audio and video of the candidate passenger, and the flight time is obtained by subtracting the flight takeoff time from the flight landing time
Wherein q isiThe total playing time length v of the on-demand audio and video in the flight process of the ith reference audio and video for the candidate passenger to on-demandiThe flight time of the ith reference audio and video in the flight process is requested to the candidate passenger, qiThe total playing time length v of the on-demand audio and video in the flight process of the ith reference audio and video for the target passenger to on-demandiThe association index calculation module calculates the association index of a candidate passenger in the flight process of the ith reference audio/video requested by the target passenger
Wherein d is the number of reference audios and videos of the candidate passenger, and YiThe overlapping duration of the ith reference audio-video played by the candidate passenger and the ith reference audio-video played by the target passenger, XiThe duration h of the ith reference video of the candidate passengeriThe association index judgment module compares the association index of a candidate passenger with an association threshold, if the association index of the candidate passenger is greater than the association threshold, the candidate passenger plays the ith reference audio/video for the candidate passenger, and H is the sum of the play time of the candidate passenger playing the d reference audio/videoIs the associated passenger of the targeted passenger.
The recommendation control module comprises an on-demand obtaining module and a recommendation module, the on-demand obtaining module is used for obtaining on-demand audios and videos of each relevant passenger of the target passenger in the latest flight process, and the recommendation module recommends the audios and videos obtained by the on-demand obtaining module to the target passenger.
A point-of-interest-based onboard entertainment information recommendation method comprises the following steps:
the method comprises the steps that a passenger database and an on-demand database are built, wherein the passenger database is used for storing flight information and on-demand information of passengers, the on-demand database is used for storing audio and video information which can be on-demand in the flight process, the flight information of the passengers comprises the takeoff time and the landing time of the passengers flying each time, and the on-demand information comprises the audio and video information which is on-demand in the passengers flying each time;
acquiring a certain passenger on the current airplane as a target passenger, judging whether to recommend audio and video information for the target passenger according to the latest flight information and on-demand information of the target passenger,
the judging whether to recommend the audio and video information for the target passenger comprises the following steps:
acquiring the intention index R of the target passenger as b/f, wherein b is the number of times of ordering by using an ordering database in the historical flight of the target passenger, f is the total number of times of historical flight of the target passenger,
if the intention index of the target passenger is larger than the intention threshold value, judging that audio and video information needs to be recommended to the target passenger, selecting the passenger as a related passenger of the target passenger from a passenger database, and when the intention index of the target passenger is large, indicating that the user tends to use an on-demand database to carry out on-demand in the flight process, so that the recommendation is carried out for the target passenger;
the step of selecting the passenger from the passenger database as the associated passenger of the target passenger comprises the following steps:
acquiring flight parameters of a target passenger and each passenger in passenger data, if the flight parameter of a certain passenger in the passenger data is within the fluctuation range of the flight parameter of the target passenger, the passenger is a candidate passenger, the flight parameter of the certain passenger is the average value of the flight duration of the passenger in the historical flight process, wherein the flight duration is the flight landing time minus the flight takeoff time,
acquiring a historical on-demand audio and video set J of a target passenger { c1, c2,. ck..., cm }, wherein ck is the kth on-demand audio and video of the target passenger, and m is the total number of the historical on-demand audio and video of the target passenger;
setting the overlapped audio and video in the audio and video set J and the history ordered audio and video of a certain candidate passenger as the reference audio and video of the candidate passenger, and calculating the association index of the candidate passenger
Wherein d is the number of reference audios and videos of the candidate passenger, and YiThe overlapping duration of the ith reference audio and video played for the candidate passenger and the ith reference audio and video played for the target passenger, XiDuration of reference audio-video for the ith passenger, hiThe playing time length of the ith reference audio and video for the candidate passenger is H, the sum of the playing time lengths of the d reference audio and video for the candidate passenger, and the overlapping time length is the sum of the time length corresponding to the overlapping part of the watching part of the candidate passenger playing a certain audio and video and the watching part of the target passenger playing a certain audio and video;
tifor obtaining the difference of playing habits of candidate passengers and target passengers in the flight process, tiThe larger the size, the smaller the difference in playing habits of the candidate passenger and the target passenger is; when the association index of the candidate passenger is calculated, the viewing interest condition of the on-demand video is analyzed from the target passenger and the candidate passenger, and the flight condition of the passenger is combined with the viewing interest for analysis, so that the selected candidate passenger is more appropriate and accurate; will be provided with
As the weight, the influence of the candidate passengers on the flight playing conditions of different audios and videos is more accurately analyzed;
if the association index of a candidate passenger is greater than the association threshold, then the candidate passenger is the associated passenger of the target passenger; when the correlation index of a certain candidate passenger is larger, the situation that flight preference interest habits of the candidate passenger and the target passenger are relatively similar is shown, so that the on-demand audio and video of the candidate passenger in the latest flight process is recommended to the target passenger;
recommending audio and video information for the target passenger according to the on-demand information of the associated passenger, wherein the recommending audio and video information for the target passenger comprises the following steps: and recommending the on-demand audios and videos of each associated passenger of the target passengers in the last flight process to the target passengers.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, 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 process, method, article, or apparatus.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (9)
1. An airborne entertainment information recommendation system based on points of interest is characterized by comprising a passenger database, an on-demand database, a recommendation judgment module, a related passenger selection module and a recommendation control module, the passenger database is used for storing flight information and on-demand information of passengers, the on-demand database is used for storing audio and video information which can be on-demand in the flight process, the recommendation judging module acquires that a certain passenger on the current airplane is a target passenger, judging whether to recommend audio and video information for the target passenger according to the latest flight information and the on-demand information of the target passenger, if the audio-video information is judged to be recommended to the target passenger, the associated passenger selecting module selects the passenger as the associated passenger of the target passenger from the passenger database, and the recommendation control module recommends audio and video information for the target passenger according to the on-demand information of the associated passenger.
2. The point-of-interest based on-board entertainment information recommendation system of claim 1, wherein: the recommendation judging module comprises an intention index calculating module and an intention index comparing module, wherein the intention index calculating module obtains the intention index R of the target passenger as b/f, wherein b is the frequency of ordering by using an ordering database in the historical flight of the target passenger, f is the total frequency of the historical flight of the target passenger, the intention index comparing module compares the intention index of the target passenger with an intention threshold, and if the intention index of the target passenger is larger than the intention threshold, the target passenger is judged to be recommended with audio and video information.
3. The point-of-interest based on-board entertainment information recommendation system of claim 2, wherein: the relevant passenger selecting module comprises a candidate passenger selecting module, an audio and video set acquiring module, a reference audio and video selecting module, a flight playing analyzing module, a relevant index calculating module and a relevant index judging module, wherein the candidate passenger selecting module acquires flight parameters of a target passenger and passengers in passenger data, if the flight parameter of a certain passenger in the passenger data is located in the fluctuation range of the flight parameter of the target passenger, the passenger is a candidate passenger, the flight parameter of the certain passenger is the average value of flight duration of the passenger in the historical flight process, the flight duration is the flight landing time minus the flight time, the audio and video set acquiring module acquires the audio and video set J which is the historical on-demand of the target passenger, wherein the audio and video set J is { c1, c2,. ck., cm }, and ck is the kth on-demand audio and video of the target passenger, m is the total number of videos and audios which are historically ordered by the target passenger, the reference video and audio selection module sets the superposed videos and audios in the videos and audio set J of a certain candidate passenger to be the reference videos and audios of the candidate passenger, and the flight play analysis module is used for calculating
Wherein q isiThe total playing time length v of the on-demand audio and video in the flight process of the ith reference audio and video for the candidate passenger to on-demandiThe flight time of the ith reference audio and video in the flight process is requested to the candidate passenger, qiThe total playing time length v of the on-demand audio and video in the flight process of the ith reference audio and video for the target passenger to orderiThe association index calculation module calculates the association index of a candidate passenger in the flight process of the ith reference audio/video requested by the target passenger
Wherein d is the number of reference audios and videos of the candidate passenger, and YiThe overlapping duration of the ith reference audio and video played for the candidate passenger and the ith reference audio and video played for the target passenger, XiThe duration h of the ith reference video of the candidate passengeriThe association index judging module compares the association index of a candidate passenger with an association threshold, and if the association index of the candidate passenger is greater than the association threshold, the candidate passenger is the associated passenger of the target passenger.
4. The point-of-interest based on-board entertainment information recommendation system of claim 3, wherein: the recommendation control module comprises an on-demand obtaining module and a recommendation module, the on-demand obtaining module is used for obtaining on-demand audio and videos of each associated passenger of the target passenger in the last flight process, and the recommendation module recommends the audio and videos obtained by the on-demand obtaining module to the target passenger.
5. An airborne entertainment information recommendation method based on interest points is characterized by comprising the following steps: the recommendation method comprises the following steps:
a passenger database and an on-demand database are established, wherein the passenger database is used for storing flight information and on-demand information of passengers, and the on-demand database is used for storing audio and video information which can be on-demand in the flight process;
acquiring a certain passenger on the current airplane as a target passenger, judging whether to recommend audio and video information for the target passenger according to the latest flight information and on-demand information of the target passenger, if so, selecting the passenger as the related passenger of the target passenger from a passenger database,
and recommending audio and video information for the target passenger according to the on-demand information of the associated passenger.
6. The method of claim 5, wherein the method comprises: the judging whether to recommend the audio and video information for the target passenger comprises the following steps:
acquiring the intention index R of the target passenger as b/f, wherein b is the number of times of ordering by using an ordering database in the historical flight of the target passenger, f is the total number of times of historical flight of the target passenger,
and if the intention index of the target passenger is greater than the intention threshold value, judging that the audio and video information is recommended for the target passenger.
7. The method of claim 6, wherein the method comprises: the step of selecting the passenger from the passenger database as the associated passenger of the target passenger comprises the following steps:
acquiring flight parameters of the target passenger and each passenger in the passenger data, if the flight parameter of a certain passenger in the passenger data is within the fluctuation range of the flight parameter of the target passenger, the passenger is a candidate passenger,
acquiring a historical on-demand audio and video set J ═ { c1, c2,. ck..., cm }, wherein ck is the kth on-demand audio and video of the target passenger, and m is the total number of the historical on-demand audio and video of the target passenger;
setting the overlapped audio and video in the audio and video set J and the history ordered audio and video of a certain candidate passenger as the reference audio and video of the candidate passenger, and calculating the association index of the candidate passenger
Wherein d is the number of reference audios and videos of the candidate passenger, and YiThe overlapping duration of the ith reference audio and video played for the candidate passenger and the ith reference audio and video played for the target passenger, XiThe duration h of the ith reference video of the candidate passengeriThe playing time of the ith reference audio and video is played for the candidate passengerH is the sum of the playing time lengths of the d reference audios and videos played by the candidate passenger,
wherein q isiThe total playing time length v of the on-demand audio and video in the flight process of the ith reference audio and video for the candidate passenger to on-demandiThe flight time of the ith reference audio and video in the flight process is requested to the candidate passenger, qiThe total playing time length v of the on-demand audio and video in the flight process of the ith reference audio and video for the target passenger to orderiOrdering the flight time of the ith reference audio/video for the target passenger in the flight process;
if the association index of a candidate passenger is greater than the association threshold, then the candidate passenger is the associated passenger of the target passenger.
8. The method of claim 6, wherein the method comprises: the obtaining of the flight parameters of the target passenger and each passenger in the passenger data includes:
the flight parameter of a certain passenger is the average value of the flight time length of the passenger in the historical flight process, wherein the flight time length is the flight landing time minus the flight takeoff time.
9. The method of claim 6, wherein the method comprises: the recommending audio and video information for the target passenger comprises the following steps:
and recommending the on-demand audios and videos of each associated passenger of the target passengers in the last flight process to the target passengers.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210210649.0A CN114595345A (en) | 2022-03-04 | 2022-03-04 | Interest point-based airborne entertainment information recommendation system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210210649.0A CN114595345A (en) | 2022-03-04 | 2022-03-04 | Interest point-based airborne entertainment information recommendation system and method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114595345A true CN114595345A (en) | 2022-06-07 |
Family
ID=81807152
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210210649.0A Pending CN114595345A (en) | 2022-03-04 | 2022-03-04 | Interest point-based airborne entertainment information recommendation system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114595345A (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20180234707A1 (en) * | 2017-02-16 | 2018-08-16 | Thales Avionics, Inc. | User centric service and content curation through in-flight entertainment system |
| CN110134865A (en) * | 2019-04-26 | 2019-08-16 | 重庆大学 | A kind of commuting passenger's social recommendation method and platform based on urban public transport trip big data |
| US20200320646A1 (en) * | 2018-04-26 | 2020-10-08 | Tencent Technology (Shenzhen) Company Limited | Interest recommendation method, computer device, and storage medium |
| US20210061471A1 (en) * | 2019-08-26 | 2021-03-04 | Panasonic Avionics Corporation | Predictive preference selection for in-vehicle entertainment systems |
| CN113919911A (en) * | 2021-10-12 | 2022-01-11 | 中电科航空电子有限公司 | Content recommendation method, system and equipment based on passenger cabin passenger behavior data |
-
2022
- 2022-03-04 CN CN202210210649.0A patent/CN114595345A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20180234707A1 (en) * | 2017-02-16 | 2018-08-16 | Thales Avionics, Inc. | User centric service and content curation through in-flight entertainment system |
| US20200320646A1 (en) * | 2018-04-26 | 2020-10-08 | Tencent Technology (Shenzhen) Company Limited | Interest recommendation method, computer device, and storage medium |
| CN110134865A (en) * | 2019-04-26 | 2019-08-16 | 重庆大学 | A kind of commuting passenger's social recommendation method and platform based on urban public transport trip big data |
| US20210061471A1 (en) * | 2019-08-26 | 2021-03-04 | Panasonic Avionics Corporation | Predictive preference selection for in-vehicle entertainment systems |
| CN113919911A (en) * | 2021-10-12 | 2022-01-11 | 中电科航空电子有限公司 | Content recommendation method, system and equipment based on passenger cabin passenger behavior data |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106919657B (en) | Method and device for automatically selecting seats on online check-in machine | |
| US8332084B1 (en) | Four-dimensional weather predictor based on aircraft trajectory | |
| CN111442778A (en) | Travel scheme recommendation method, device and equipment and computer readable storage medium | |
| CN105701552B (en) | Method for determining vertical section of flight route | |
| CN115643285A (en) | Smart city parking lot recommendation method, internet of things system, device and storage medium | |
| CN112556717B (en) | Travel mode screening method and travel route recommending method and device | |
| CN108645769B (en) | Environment air quality monitoring method based on unmanned aerial vehicle | |
| CN107861957B (en) | Data analysis method and device | |
| US11019405B2 (en) | Networks, systems and methods for enhanced auto racing | |
| CN110929945B (en) | Prediction method and system for route opening and electronic equipment | |
| CN115374381B (en) | Dynamic display method of server identification, electronic equipment and storage medium | |
| CN110334885A (en) | Task data processing method, device | |
| US20130325483A1 (en) | Dialogue models for vehicle occupants | |
| CN111192090A (en) | Seat allocation method and device for flight, storage medium and electronic equipment | |
| CN109341709A (en) | Route recommendation method, electronic equipment and computer readable storage medium | |
| US11142337B2 (en) | Method and system for determining a descent profile | |
| CN109657736A (en) | Segment runing time calculation method based on cluster feature | |
| DE112020003033T5 (en) | Method and apparatus for improving a geolocation database | |
| CN114595345A (en) | Interest point-based airborne entertainment information recommendation system and method | |
| CN115577301A (en) | Personalized splitting learning method and application for distributed system | |
| CN115980742A (en) | Radar detection method and device for unmanned aerial vehicle | |
| CN115129998A (en) | Scenic spot recommendation method and system fusing state information of tourists and scenic spots | |
| CN114860700A (en) | Missing track filling method and system | |
| CN107705037A (en) | A kind of QoX quality systems system and its method of work towards contextual information processing | |
| CN115795165A (en) | Air-rail joint whole-process personalized travel scheme recommendation method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20220607 |
|
| RJ01 | Rejection of invention patent application after publication |