CN110868605A - User data distributed storage method based on hotel - Google Patents
User data distributed storage method based on hotel Download PDFInfo
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- CN110868605A CN110868605A CN201911284339.8A CN201911284339A CN110868605A CN 110868605 A CN110868605 A CN 110868605A CN 201911284339 A CN201911284339 A CN 201911284339A CN 110868605 A CN110868605 A CN 110868605A
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- 238000000034 method Methods 0.000 title claims abstract description 21
- 238000004891 communication Methods 0.000 claims abstract description 31
- 238000007670 refining Methods 0.000 claims description 12
- 230000003247 decreasing effect Effects 0.000 description 3
- 230000003139 buffering effect Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000005096 rolling process Methods 0.000 description 1
Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/21—Server components or server architectures
- H04N21/214—Specialised server platform, e.g. server located in an airplane, hotel, hospital
- H04N21/2143—Specialised server platform, e.g. server located in an airplane, hotel, hospital located in a single building, e.g. hotel, hospital or museum
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
- H04N21/231—Content storage operation, e.g. caching movies for short term storage, replicating data over plural servers, prioritizing data for deletion
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/41—Structure of client; Structure of client peripherals
- H04N21/414—Specialised client platforms, e.g. receiver in car or embedded in a mobile appliance
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/436—Interfacing a local distribution network, e.g. communicating with another STB or one or more peripheral devices inside the home
- H04N21/4363—Adapting the video stream to a specific local network, e.g. a Bluetooth® network
- H04N21/43637—Adapting the video stream to a specific local network, e.g. a Bluetooth® network involving a wireless protocol, e.g. Bluetooth, RF or wireless LAN [IEEE 802.11]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
- H04N21/466—Learning process for intelligent management, e.g. learning user preferences for recommending movies
- H04N21/4667—Processing of monitored end-user data, e.g. trend analysis based on the log file of viewer selections
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
- H04N21/466—Learning process for intelligent management, e.g. learning user preferences for recommending movies
- H04N21/4668—Learning process for intelligent management, e.g. learning user preferences for recommending movies for recommending content, e.g. movies
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Databases & Information Systems (AREA)
- Computer Networks & Wireless Communication (AREA)
- Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
Abstract
The invention belongs to the technical field of television boxes, and particularly relates to a user data distributed storage method based on a hotel, which comprises the following steps: step S1, the cloud end is respectively connected with the mobile phone end and the television box, communication connection is established between the mobile phone end and the television box, and a video file played by the mobile phone end is stored in a local server; step S2, comparing the operation information with a preset analysis rule to obtain user preference information, and storing the user preference information in a local server; the method comprises the steps of establishing communication between a mobile phone at a user end and a television box through a cloud end to identify a user, judging the favorite degree of the user to a randomly recommended video according to operation information of the user when watching the video, recommending the type of the video which the user wants to see, establishing an independent storage space according to the identified user, storing the favorite video and a preference table of the user in a cloud space, and pushing the preference video of the user when the user uses the mobile phone again to establish connection with the television box.
Description
Technical Field
The invention belongs to the technical field of television boxes, and particularly relates to a user data distributed storage method based on a hotel.
Background
The television box is a small-sized computing terminal device, as long as the television box is simply connected with a traditional television through technologies such as HDMI or color difference lines, webpage browsing, network video playing and application program installation can be achieved on the traditional television, even pictures and videos in mobile phones and flat plates can be projected to large-screen televisions at home, the requirements of people on the definition of the television are higher and higher, many televisions also provide HDMI high-definition interfaces, and many box products can meet the requirements in the aspect of hardware.
Due to the popularization of the mobile internet, the television of the hotel standard seems to be rather embarrassing. The appearance stays for a matter of a little more than a matter of a century before, and is too high or too low to be tolerated, but the network television box is not equipped, only a few limited channels can be watched, and the situation that whether a mobile phone is not good for playing or not good for sleeping is not questioned, and a television of a hotel is not required to be turned on, so that the current hotel is generally equipped with the television box.
Generally, random videos can be played in a rolling mode on a television box, unlike a television in a home, the favorite type of a user can be played according to the preference of the user, if the preference of the last user in a guest room is opposite to that of the user behind, the recommended videos are probably the disliked type of the user, the watching experience of the user is greatly reduced, and therefore a user data distributed storage method of the television box following the preference of the user is needed to meet the requirements of the user.
Disclosure of Invention
The invention provides a user data distributed storage method based on a hotel, which aims to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: a user data distributed storage method based on hotels comprises the following steps:
step S1, the cloud end is respectively connected with the mobile phone end and the television box, communication connection is established between the mobile phone end and the television box, and a video file played by the mobile phone end is stored in a local server;
step S2, comparing the operation information with a preset analysis rule to obtain user preference information, and storing the user preference information in a local server;
and step S3, extracting key information from the user identity information and the user preference information according to a preset refining rule, encrypting and compiling the key information to form a user form, and sending the user form to the cloud.
Preferably, in step S1, the cloud identifies each mobile phone end device, and determines whether the mobile phone end device is in a state of receiving signals, and when the mobile phone end device is in the state of receiving signals, the cloud sends the two-dimensional code for television box communication, so that the mobile phone end device can actively establish communication connection with the television box.
Preferably, in step S1, after the mobile phone device establishes a communication connection with the television box, the cloud allocates a corresponding space to store a video file played by the mobile phone, the size of the storage capacity is 1G to 10G, and the allocation is performed according to the state of the mobile phone device.
Preferably, the operation information includes a type of the played video, a play time length, a fast forward, a progress bar drag, a mute, a video stay/switch speed in step S2.
Preferably, the preset analysis rule in step S2 is a learning analysis rule, the video types with more recommended playing times, long playing time, less fast forwarding operations, and less progress bar dragging operations are increased, the video types with less recommended playing times, more fast forwarding operations, and more progress bar dragging operations are decreased, and the corresponding volume is defaulted on the video of the type according to the volume set by the user of the video type.
Preferably, in step S2, the learning time of the analysis rule is preset to be long, and the analysis rule is numbered according to the mobile phone of the user, and the separate matching storage space is used for storing the preference information unique to the user.
Preferably, in step S3, the user identity information includes port information of the mobile phone terminal, user age information, user occupation information, and user gender information.
Preferably, in step S3, the user preference information includes keywords for the type of the video, keywords for the industry domain to which the video belongs, and keywords for the author of the video.
Preferably, in step S3, the refining rule is adopted to integrate the user information and the extracted preference keyword information into a table, the table is compressed, then the mobile phone terminal code is added to encrypt the table, and the table is uploaded to the storage space, and the table is updated in real time.
Compared with the prior art, the invention has the beneficial effects that:
the method and the device establish communication between the mobile phone at the user end and the television box through the cloud end so as to identify the user, judge the preference degree of the user to the randomly recommended video according to the operation information of the user when watching the video, recommend the video type which the user wants to see more, establish an independent storage space according to the identified user, store the preferred video and the preference table of the user in the cloud space, and push the preferred video of the user when the user uses the mobile phone to establish connection with the television box again.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all 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.
Example 1
The invention provides the following technical scheme: a user data distributed storage method based on hotels comprises the following steps:
step S1, the cloud end is respectively connected with the mobile phone end and the television box, communication connection is established between the mobile phone end and the television box, and a video file played by the mobile phone end is stored in a local server;
step S2, comparing the operation information with a preset analysis rule to obtain user preference information, and storing the user preference information in a local server;
and step S3, extracting key information from the user identity information and the user preference information according to a preset refining rule, encrypting and compiling the key information to form a user form, and sending the user form to the cloud.
In the embodiment, when a user uses a television box, the cloud identifies each mobile phone end device and judges whether the mobile phone end device is in a signal receiving state, when the mobile phone end device is in the signal receiving state, the cloud sends a television box communication two-dimensional code, so that the mobile phone end device can actively establish communication connection with the television box, after the mobile phone end device establishes communication connection with the television box, the cloud allocates a corresponding space to be used as a video file for operation and play of the mobile phone end, the storage capacity is 1G-10G, the distribution is performed according to the state of the mobile phone end device, if the user of a hotel shop is a new user, the 1G storage space can be allocated, and after the mobile phone end scans the two-dimensional code, a secret key for establishing communication is obtained; storing a video file played by a mobile phone end in a local server so as to obtain initial favorite information of a user, effectively reducing video buffering time when the user requests to play, and enabling video playing to be smoother; comparing the operation information (including played video type, playing time length, fast forward, progress bar dragging, mute, video staying/switching speed, etc.) with preset analysis rules (learning analysis rules, increasing video types with more recommended playing times, long playing time length, less fast forward operation and less progress bar dragging operation, reducing video types with less recommended playing times, more fast forward operation and more progress bar dragging operation, and defaulting corresponding volume on the type of video according to the volume set by the user of the video type) to obtain user preference information, storing the user preference information in a local server, presetting the learning time of the analysis rules as long time, the user preferences are learned for a long time, the learning is not invariable, the numbering is carried out according to the mobile phone of the user, and the independent matching storage space is used for storing the unique preference information of the user; extracting key information from user identity information and user preference information according to a preset refining rule, encrypting and compiling the key information to form a user form, sending the user form to the cloud, wherein the user identity information comprises port information of a mobile phone end, user age information, user occupation information and user gender information, the user preference information comprises keywords of a video type, keywords of an industry field to which a video belongs and keywords of a video author, integrating the user information and the extracted preference keyword information into a form by adopting the refining rule, compressing the form, adding a mobile phone end code to encrypt the form, uploading the form to a storage space, and updating the form in real time.
Specifically, in step S1, the cloud identifies each mobile phone end device, and judges whether the mobile phone end device is in the state of receiving signals, when the mobile phone end device is in the state of receiving signals, the cloud sends a television box communication two-dimensional code, so that the mobile phone end device can actively establish communication connection with the television box, the cloud identifies each mobile phone end device connected through the wireless network and the APP of the hotel, check-in information and the like is obtained, and when the user wants to open the television box, the communication two-dimensional code is actively sent out, and communication is established with the television box.
Specifically, in step S1, after the mobile phone device establishes a communication connection with the television box, the cloud allocates a corresponding space to store a video file played by the mobile phone operation, the size of the storage capacity is 1G to 10G, the allocation is performed according to the state of the mobile phone device, and the mobile phone device determines according to the check-in information of the user.
Specifically, in step S2, the operation information includes the type of the video being played, the playing time, fast forward, the progress bar dragging, muting, and the video staying/switching speed, the video type played on demand by the user can be determined as preferred by the user, the video type played for a long time by the user can be determined as preferred by the user, the video type played for a large number of fast forward times by the user can be determined as disliked by the user, the video type dragged by the user is determined as disliked by the user, the video for a long time by the user is determined as preferred by the user, and the video switched quickly.
Specifically, the preset analysis rule in step S2 is a learning analysis rule, the video types with more recommended playing times, long playing time, less fast forward operations, and less progress bar dragging operations are increased, the video types with less recommended playing times, more fast forward operations, and more progress bar dragging operations are decreased, and the corresponding volume is defaulted on the video of the type according to the volume set by the user of the video type.
Specifically, in step S2, the learning time of the analysis rule is preset to be a long time, and the analysis rule is numbered according to the mobile phone of the user, the separate matching storage space is used for storing the unique preference information of the user, the storage space is always stored, and the space for storing the video is automatically deleted within a certain time, so as to save space.
Specifically, in step S3, the user identity information includes port information of the mobile phone terminal, user age information, user occupation information, and user gender information.
Specifically, in step S3, the user preference information includes keywords of the video type, keywords of the industry domain to which the video belongs, and keywords of the video author.
Specifically, in step S3, the user information and the extracted preference keyword information are integrated into a table by using a refining rule, the table is compressed, then a mobile phone terminal code is added to encrypt the table, the table is uploaded to a storage space, and the table is updated in real time.
Example 2
The invention provides the following technical scheme: a user data distributed storage method based on hotels comprises the following steps:
step S1, the cloud end is respectively connected with the mobile phone end and the television box, communication connection is established between the mobile phone end and the television box, and a video file played by the mobile phone end is stored in a local server;
step S2, comparing the operation information with a preset analysis rule to obtain user preference information, and storing the user preference information in a local server;
and step S3, extracting key information from the user identity information and the user preference information according to a preset refining rule, encrypting and compiling the key information to form a user form, and sending the user form to the cloud.
In the embodiment, when a user uses a television box, the cloud identifies each mobile phone end device and judges whether the mobile phone end device is in a signal receiving state, when the mobile phone end device is in the signal receiving state, the cloud sends a television box communication two-dimensional code, so that the mobile phone end device can actively establish communication connection with the television box, after the mobile phone end device establishes communication connection with the television box, the cloud allocates a corresponding space to be used as a video file for operation and play of the mobile phone end, the storage capacity is 1G-10G, the distribution is performed according to the state of the mobile phone end device, if the user of a hotel shop is an old user, a 10G storage space can be allocated, and the mobile phone end scans the two-dimensional code to obtain a secret key for establishing communication; storing a video file played by a mobile phone end in a local server so as to obtain initial favorite information of a user, effectively reducing video buffering time when the user requests to play, and enabling video playing to be smoother; comparing the operation information (including played video type, playing time length, fast forward, progress bar dragging, mute, video staying/switching speed, etc.) with preset analysis rules (for learning analysis rules, increasing video types with more recommended playing times, long playing time length, less fast forward operation and less progress bar dragging operation, reducing video types with less recommended playing times, more fast forward operation and more progress bar dragging operation, and defaulting corresponding volume on the type of video according to the volume set by the video type user) to obtain user preference information, storing the user preference information in a local server, wherein the learning time of the preset analysis rules is long, namely learning the user preference for a long time, but not invariable, appropriately expanding new types according to the favorite types of old users to help the users to obtain more information, and numbering according to the mobile phones of the users, the independent matching storage space is used for storing the unique preference information of the user; extracting key information from user identity information and user preference information according to a preset refining rule, encrypting and compiling the key information to form a user form, sending the user form to the cloud, wherein the user identity information comprises port information of a mobile phone end, user age information, user occupation information and user gender information, the user preference information comprises keywords of a video type, keywords of an industry field to which a video belongs and keywords of a video author, integrating the user information and the extracted preference keyword information into a form by adopting the refining rule, compressing the form, adding a mobile phone end code to encrypt the form, uploading the form to a storage space, and updating the form in real time.
Specifically, in step S1, the cloud identifies each mobile phone end device, and judges whether the mobile phone end device is in the state of receiving signals, when the mobile phone end device is in the state of receiving signals, the cloud sends a television box communication two-dimensional code, so that the mobile phone end device can actively establish communication connection with the television box, the cloud identifies each mobile phone end device connected through the wireless network and the APP of the hotel, check-in information and the like is obtained, and when the user wants to open the television box, the communication two-dimensional code is actively sent out, and communication is established with the television box.
Specifically, in step S1, after the mobile phone device establishes a communication connection with the television box, the cloud allocates a corresponding space to store a video file played by the mobile phone operation, the size of the storage capacity is 1G to 10G, the allocation is performed according to the state of the mobile phone device, and the mobile phone device determines according to the check-in information of the user.
Specifically, in step S2, the operation information includes the type of the video being played, the playing time, fast forward, the progress bar dragging, muting, and the video staying/switching speed, the video type played on demand by the user can be determined as preferred by the user, the video type played for a long time by the user can be determined as preferred by the user, the video type played for a large number of fast forward times by the user can be determined as disliked by the user, the video type dragged by the user is determined as disliked by the user, the video for a long time by the user is determined as preferred by the user, and the video switched quickly.
Specifically, the preset analysis rule in step S2 is a learning analysis rule, the video types with more recommended playing times, long playing time, less fast forward operations, and less progress bar dragging operations are increased, the video types with less recommended playing times, more fast forward operations, and more progress bar dragging operations are decreased, and the corresponding volume is defaulted on the video of the type according to the volume set by the user of the video type.
Specifically, in step S2, the learning time of the analysis rule is preset to be a long time, and the analysis rule is numbered according to the mobile phone of the user, the separate matching storage space is used for storing the unique preference information of the user, the storage space is always stored, and the space for storing the video is automatically deleted within a certain time, so as to save space.
Specifically, in step S3, the user identity information includes port information of the mobile phone terminal, user age information, user occupation information, and user gender information.
Specifically, in step S3, the user preference information includes keywords of the video type, keywords of the industry domain to which the video belongs, and keywords of the video author.
Specifically, in step S3, the user information and the extracted preference keyword information are integrated into a table by using a refining rule, the table is compressed, then a mobile phone terminal code is added to encrypt the table, the table is uploaded to a storage space, and the table is updated in real time.
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 made within the spirit and principles of the present invention.
Claims (9)
1. A user data distributed storage method based on a hotel is characterized in that: the method comprises the following steps:
step S1, the cloud end is respectively connected with the mobile phone end and the television box, communication connection is established between the mobile phone end and the television box, and a video file played by the mobile phone end is stored in a local server;
step S2, comparing the operation information with a preset analysis rule to obtain user preference information, and storing the user preference information in a local server;
and step S3, extracting key information from the user identity information and the user preference information according to a preset refining rule, encrypting and compiling the key information to form a user form, and sending the user form to the cloud.
2. The hotel-based user data distributed storage method according to claim 1, wherein: in step S1, the cloud identifies each mobile phone end device, and determines whether the mobile phone end device is in a state of receiving a signal, and when the mobile phone end device is in the state of receiving a signal, the cloud sends the two-dimensional code for television box communication, so that the mobile phone end device can actively establish communication connection with the television box.
3. The hotel-based user data distributed storage method according to claim 2, wherein: in step S1, after the mobile phone device establishes a communication connection with the television box, the cloud allocates a corresponding space to store a video file played by the mobile phone operation, the size of the storage capacity is 1G to 10G, and the allocation is performed according to the state of the mobile phone device.
4. The hotel-based user data distributed storage method according to claim 1, wherein: the operation information includes the type of the video played, the play time length, the fast forward, the progress bar drag, the mute, and the video stay/switch speed in step S2.
5. The hotel-based user data distributed storage method according to claim 1, wherein: in step S2, the preset analysis rule is a learning analysis rule, the video types with more recommended playing times, long playing time, less fast forward operations, and less progress bar dragging operations are added, the video types with less recommended playing times, more fast forward operations, and more progress bar dragging operations are reduced, and the corresponding volume is defaulted on the video of the type according to the volume set by the user of the video type.
6. The hotel-based user data distributed storage method according to claim 5, wherein: in step S2, the learning time of the analysis rule is preset to be long, and the analysis rule is numbered according to the mobile phone of the user, and the separate matching storage space is used for storing the unique preference information of the user.
7. The hotel-based user data distributed storage method according to claim 1, wherein: in step S3, the user identity information includes port information of the mobile phone terminal, user age information, user occupation information, and user gender information.
8. The hotel-based user data distributed storage method according to claim 1, wherein: in step S3, the user preference information includes keywords of the video type, keywords of the industry field to which the video belongs, and keywords of the video author.
9. The hotel-based user data distributed storage method according to claim 1, wherein: in step S3, the user information and the extracted preference keyword information are integrated into a table by using a refining rule, the table is compressed, then a mobile phone terminal code is added to encrypt the table, and the table is uploaded to a storage space and updated in real time.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115065871A (en) * | 2022-06-09 | 2022-09-16 | 咪咕音乐有限公司 | Video playing control method and device and electronic equipment |
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| CN109218797A (en) * | 2017-06-30 | 2019-01-15 | 中国电信股份有限公司 | Method for pushing, business platform and the storage medium of personalized interface |
| CN109756743A (en) * | 2019-01-21 | 2019-05-14 | 湖北省广播电视信息网络股份有限公司 | Localization information synchronized push system and method |
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