CN110968774B - Intelligent menu recommendation method based on voice recognition - Google Patents
Intelligent menu recommendation method based on voice recognition Download PDFInfo
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- CN110968774B CN110968774B CN201811147679.1A CN201811147679A CN110968774B CN 110968774 B CN110968774 B CN 110968774B CN 201811147679 A CN201811147679 A CN 201811147679A CN 110968774 B CN110968774 B CN 110968774B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/12—Hotels or restaurants
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/005—Language recognition
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The invention relates to an intelligent menu recommending method based on voice recognition, which utilizes intelligent equipment to obtain the recognition judgment whether the user voice is a regional dialect or not, and a server combines the regional dialect recognition result of the user voice and the network IP of the intelligent equipment to judge whether the user is in the hometown or not, and then recommends a menu conforming to the hometown of the user to the intelligent equipment, thereby realizing the effect of recommending the personalized menu to the user according to the user dialect and the network IP of the intelligent equipment.
Description
Technical Field
The invention relates to the field of intelligent recipes, in particular to an intelligent recipe recommendation method based on voice recognition.
Background
With the gradual maturity of voice technology, various intelligent devices can perform corresponding operations according to voices of people. For kitchen electric appliances, people are also gradually provided with aphrodisiac and personalized services, such as various intelligent menu recommendation systems.
For many intelligent devices in the Chinese region, many voice technologies only support Mandarin interaction, but for some people with a heavy minority or dialect, the unsmooth Mandarin recognition may be slow and inaccurate. In addition, population is widely migrated at the present stage, and hometown dishes are difficult to eat in different countries, so that the existing intelligent menu recommendation scheme is difficult to meet the requirement that a user eats hometown dishes in different countries.
Disclosure of Invention
The invention aims to solve the technical problem of providing an intelligent menu recommendation method based on voice recognition aiming at the prior art.
The technical scheme adopted by the invention for solving the technical problems is as follows: the intelligent menu recommendation method based on the voice recognition is applied to a system with intelligent equipment and a server, wherein the intelligent equipment is connected with the server through a network, and is characterized by comprising the following steps 1-5:
step 1, the server stores a cloud menu database in advance; the cloud recipe database comprises a plurality of administrative region recipe data sets formed based on network IP, dialect recipe data sets formed based on regional dialects and taste recipe data sets formed based on recipe taste;
step 2, after the intelligent device receives the user voice, the intelligent device makes recognition judgment on the user voice:
when the intelligent device judges that the user voice is the Putonghua, the intelligent device acquires a network IP of the intelligent device, sends the network IP to a server, and then shifts to the step 3;
when the intelligent device judges that the user voice is the non-Putonghua, the intelligent device acquires a network IP of the intelligent device, identifies the regional dialect to which the user voice belongs, sends the network IP and the regional dialect identification result to the server, and shifts to the step 4;
step 3, the server acquires an administrative region to which the network IP belongs according to the network IP sent by the intelligent equipment, searches an administrative region type menu corresponding to the administrative region in a cloud menu database for a preset number of administrative region type menus, and goes to step 5;
step 4, the server performs matching judgment according to the network IP sent by the intelligent equipment and the regional dialect recognition result of the user voice:
when the administrative region to which the network IP belongs is the same as the administrative region corresponding to the regional dialect, searching a preset number of administrative region type menus corresponding to the administrative region to which the network IP belongs in the cloud menu database, and turning to step 5; otherwise, searching a preset number of administrative region type menus of the administrative region corresponding to the regional dialect in the cloud menu database, and turning to the step 5;
and 5, the server sends the searched administrative region type menus with the preset number to intelligent equipment as recommended menus, and the recommended menus are provided for the user by the intelligent equipment.
In an improved way, the intelligent menu recommendation method based on the voice recognition further comprises the following steps S11 to S13:
step S11, the intelligent equipment acquires user preference taste information of a user aiming at the taste of a menu and sends the user preference taste information to a server;
step S12, the server makes matching judgment on the received taste information preferred by the user and a taste type menu data set in the cloud menu database:
when the menu corresponding to the taste information preferred by the user exists in the taste type menu data set, the menu is used as feedback information of the menu matched with the taste and sent to the intelligent equipment; otherwise, sending feedback information without the taste information menu to the intelligent equipment;
and S13, the intelligent equipment provides feedback information of the server for the user preferred taste information to the user.
In a further improvement, the intelligent recipe recommendation method based on the voice recognition further includes the following steps S21 to S24:
step S21, the intelligent equipment counts the attention times of a user for the dishes of all administrative areas provided for the user in a preset time period;
and S22, the intelligent equipment provides the counted administrative region type menu with the maximum attention frequency as a priority recommended menu for the user.
Further, in the intelligent menu recommendation method based on voice recognition, the attention times are browsing times and/or favorable times of the user for the menus of the administrative regions.
Optionally, in the intelligent recipe recommendation method based on voice recognition, the administrative area is a provincial level administrative area or a local level municipal administrative area, and the network IP of the intelligent device is displayed at least to a county level address.
In an improved manner, in the intelligent recipe recommendation method based on speech recognition, after receiving a user speech and before making a recognition judgment on the user speech, the intelligent device further includes:
when the intelligent device judges that the user voice is abnormal, the intelligent device obtains the recognition result of whether the user voice is Mandarin or not by increasing the acquisition times of the user voice.
Optionally, in the intelligent recipe recommendation method based on voice recognition, the intelligent device is a mobile terminal or a kitchen electrical device.
In a further improvement, the intelligent menu recommendation method based on voice recognition further comprises the following steps:
the intelligent equipment acquires all data in the cloud menu database from a server according to a preset period, and stores the acquired Yun Caipu database serving as a local menu database into the intelligent equipment;
when the intelligent equipment receives the voice of the user and the network connection between the intelligent equipment and the server is abnormal, the intelligent equipment respectively and correspondingly executes the functions of the server in the steps 2 to 5 so as to search the preset number of the administrative region type menus in the local menu database and provide the searched administrative region type menus as recommended menus for the user.
In a further improvement, the intelligent menu recommendation method based on voice recognition further comprises the following steps:
the cloud recipe database also comprises a national recipe data set formed based on the national wearing characteristics;
after receiving the voice of the user, the intelligent equipment acquires a wearing characteristic image of the user and sends the wearing characteristic image of the user to a server;
the server searches for a national menu matched with the wearing feature of the user in the cloud menu database according to the received wearing feature image of the user;
and the server sends the searched ethnic menu to the intelligent equipment, and the intelligent equipment provides the ethnic menu to the user.
Compared with the prior art, the invention has the advantages that: the intelligent menu recommending method utilizes the intelligent equipment to identify and judge whether the voice of the user is regional dialect or not after the voice of the user is obtained, the server combines the regional dialect identification result of the voice of the user and the network IP of the intelligent equipment to judge whether the user is located at home or not, then the server recommends menus conforming to the home of the user to the intelligent equipment, the effect of recommending personalized menus to the user according to the dialect of the user and the network IP of the intelligent equipment is achieved, and user experience is improved.
Drawings
Fig. 1 is a schematic flow chart of an intelligent recipe recommendation method based on speech recognition in an embodiment of the present invention.
Detailed Description
The invention is described in further detail below with reference to the following examples of the drawings.
As shown in fig. 1, the present embodiment provides an intelligent recipe recommendation method based on voice recognition, which is applied to a system having an intelligent device and a server, where the intelligent device is connected to the server through a network. The intelligent device can adopt a mobile terminal or a kitchen electric device according to requirements. The intelligent device in the embodiment is a kitchen electrical device. Specifically, the intelligent menu recommendation method based on the voice recognition comprises the following steps 1-5:
step 1, a server stores a cloud menu database in advance; the cloud recipe database comprises a plurality of administrative region type recipe data sets formed based on network IP, dialect type recipe data sets formed based on regional dialects and taste type recipe data sets formed based on recipe tastes; for example, the network IP can be displayed at least to a county level address; the address of the upper level administrative region to which the network IP belongs can be further obtained through the address of the lower level administrative region displayed by the network IP;
the following description is given for an administrative region type menu data set formed based on a network IP, where the administrative region type menu data set stores a menu data set matched with an administrative region, for example, an administrative region type menu corresponding to sichuan province is a chuanxiong menu, an administrative region type menu corresponding to guangdong province is a guangdong menu, and an administrative region type menu corresponding to shandong province is a rucai; the administrative region is a provincial-level administrative region or a regional-level municipal administrative region;
a dialect-type menu data set formed based on regional dialects is explained as follows, wherein the dialect-type menu data set is used for matching the corresponding relationship between regional dialects and regions, for example, the regions corresponding to Wu dialects are 3 regions of Sunan, shanghai and Zhejiang, and the regions corresponding to Tibetan languages are 5 regions of Tibetan autonomous region and Qinghai province, sichuan Ganzui Tibetan nationality, atha Tibetan nationality of Qiang and Gansu south Tibetan nationality and Yunnan Diangqing nationality of Tibetan; as long as the regional dialect to which the user voice belongs is accurately identified, the administrative region to which the user belongs can be inferred;
the description is given below for a taste type recipe data set formed based on the recipe taste, the taste type recipe data is arranged according to the taste of the recipe, for example, a recipe with spicy taste corresponds to Sichuan dish and Hunan dish; the recipe with light taste is corresponding to Zhejiang vegetables and Guangdong vegetables; each taste can correspond to a menu of administrative regions;
step 2, after the kitchen electrical equipment receives the user voice, the kitchen electrical equipment identifies and judges the user voice:
when the kitchen electrical equipment judges that the voice of the user is Mandarin, the kitchen electrical equipment acquires a network IP of the kitchen electrical equipment, sends the network IP to a server, and then goes to step 3;
when the kitchen electrical equipment judges that the user voice is not mandarin, namely the user voice has dialect characteristics, the kitchen electrical equipment acquires the network IP of the kitchen electrical equipment and identifies the regional dialect to which the user voice belongs, and sends the network IP and the regional dialect identification result to which the user voice belongs to the server, and the step 4 is switched;
specifically, assuming that the kitchen electrical equipment determines that the user voice is a non-mandarin language, the kitchen electrical equipment acquires a network IP of the kitchen electrical equipment (the IP address is shown in cixi city) and recognizes that the regional dialect to which the user voice belongs is a Ningbo language, and the kitchen electrical equipment sends the network IP (the IP address is shown in cixi city) and recognition results that the regional dialect to which the user voice belongs is a Ningbo language to the server;
step 3, the server acquires an administrative region to which the network IP belongs according to the network IP sent by the kitchen electrical equipment, searches a preset number of administrative region type menus corresponding to the administrative region in a cloud menu database, and shifts to step 5;
when the network IP sent by the kitchen electric equipment displays that the IP address is Cixi city, the server can obtain that the administrative region to which the network IP belongs is Cixi city of Ningbo city in Zhejiang province, and therefore the server searches four recipes belonging to Zhejiang dishes in a cloud recipe database according to needs; of course, the requirement can also be set, and at the moment, the server searches four recipes belonging to Ningbo city in the cloud recipe database according to the requirement;
step 4, the server performs matching judgment according to the network IP sent by the kitchen electrical equipment and the regional dialect recognition result to which the user voice belongs:
when the administrative region to which the network IP belongs (the IP address is shown as cixi city) is the same as the administrative region corresponding to the regional dialect (ningbo city or zhe jiang province), searching for a preset number of administrative region type menus corresponding to the administrative region to which the network IP belongs in the cloud menu database, and turning to step 5; otherwise, searching a preset number of administrative region type menus of the administrative region corresponding to the regional dialect (Ningbo dialect) in the cloud menu database, and turning to the step 5;
and 5, the server takes the searched administrative region type menus with the preset number as recommended menus and sends the recommended menus to the kitchen electrical equipment, and the kitchen electrical equipment provides the recommended menus for the user.
Certainly, in order to adapt to the requirement of matching the recipe with the taste of the user, the intelligent recipe recommendation method of the embodiment further includes the following steps S11 to S13:
step S11, the kitchen electrical equipment acquires user preference taste information of a user aiming at the taste of the menu, and sends the user preference taste information to a server;
step S12, the server makes matching judgment on the received taste information preferred by the user and a taste type menu data set in the cloud menu database:
when the menu corresponding to the taste information preferred by the user exists in the taste type menu data set, the menu is used as feedback information of the menu matched with the taste and is sent to the kitchen electric equipment; otherwise, sending feedback information without the taste information menu to the kitchen electric equipment;
and S13, the kitchen electrical equipment provides the feedback information of the server for the user' S preferred taste information to the user.
Moreover, in order to fully consider the attention degree of the user to each menu to deduce to obtain a menu more matching the attention condition of the user, the intelligent menu recommendation method in this embodiment further includes the following steps S21 to S24:
step S21, counting the attention times of a user for each administrative region type menu provided for the user by the kitchen electric equipment within a preset time period; wherein, the attention frequency is the browsing frequency and/or the favorable rating frequency of the user aiming at the administrative region type menu;
and S22, the kitchen electric equipment provides the counted administrative region type menu with the maximum attention frequency as a priority recommendation menu to the user.
In addition, the kitchen electrical equipment of this embodiment, after receiving the user's voice and before making a recognition determination for the user's voice, further includes:
when the kitchen electrical equipment judges that the user voice is abnormal, the kitchen electrical equipment obtains a recognition result of whether the user voice is Mandarin or not by increasing the acquisition times of acquiring the user voice.
In order to avoid adverse effects of problems such as network failures on the menu recommendation process, the intelligent menu recommendation method of the embodiment further includes: the kitchen electrical equipment acquires all data in the cloud menu database from the server according to a preset period, and stores the acquired cloud menu database serving as a local menu database into the kitchen electrical equipment;
when the kitchen electrical equipment receives the voice of the user and the network connection between the kitchen electrical equipment and the server is abnormal, the kitchen electrical equipment respectively executes the functions of the server in the steps 2 to 5, so that administrative region type menus with the preset number are searched in the local menu database, and the searched administrative region type menus are provided for the user as recommended menus.
Moreover, in order to further improve the recommendation success probability of the recipe, the intelligent recipe recommendation method of the embodiment further includes: the cloud recipe database also comprises a national recipe data set formed based on the national wearing characteristics;
after the kitchen electrical equipment receives the voice of the user, the kitchen electrical equipment collects the wearing feature image of the user and sends the wearing feature image of the user to the server;
the server searches for a national menu matched with the wearing characteristics of the user in a cloud menu database according to the received wearing characteristic image of the user;
the server sends the searched ethnic menu to the kitchen electrical equipment, and the kitchen electrical equipment provides the ethnic menu for the user.
Claims (9)
1. The intelligent menu recommendation method based on the voice recognition is applied to a system with intelligent equipment and a server, wherein the intelligent equipment is connected with the server through a network, and is characterized by comprising the following steps 1-5:
step 1, the server stores a cloud menu database in advance; the cloud recipe database comprises a plurality of administrative region recipe data sets formed based on network IP, dialect recipe data sets formed based on regional dialects and taste recipe data sets formed based on recipe taste;
step 2, after the intelligent device receives the user voice, the intelligent device makes recognition judgment on the user voice:
when the intelligent device judges that the user voice is the Putonghua, the intelligent device acquires a network IP of the intelligent device, sends the network IP to a server, and then shifts to the step 3;
when the intelligent equipment judges that the user voice is non-Mandarin, the intelligent equipment acquires the network IP of the intelligent equipment and identifies the regional dialect to which the user voice belongs, sends the network IP and the regional dialect identification result to the server, and then shifts to the step 4;
step 3, the server acquires an administrative region to which the network IP belongs according to the network IP sent by the intelligent equipment, searches for a preset number of administrative region type menus corresponding to the administrative region in a cloud menu database, and then shifts to step 5;
step 4, the server performs matching judgment according to the network IP sent by the intelligent equipment and the regional dialect recognition result of the user voice:
when the administrative region to which the network IP belongs is the same as the administrative region corresponding to the regional dialect, searching a preset number of administrative region type menus corresponding to the administrative region to which the network IP belongs in the cloud menu database, and turning to step 5; otherwise, searching a preset number of administrative region type menus of the administrative region corresponding to the regional dialect in the cloud menu database, and turning to the step 5;
and 5, the server sends the searched administrative region type menus with the preset number to intelligent equipment as recommended menus, and the recommended menus are provided for the user by the intelligent equipment.
2. The intelligent menu recommendation method based on voice recognition according to claim 1, further comprising the following steps S11-S13:
step S11, the intelligent equipment acquires user preference taste information of a user aiming at the taste of a menu and sends the user preference taste information to a server;
step S12, the server makes matching judgment on the received taste information preferred by the user and a taste type menu data set in the cloud menu database:
when the menu corresponding to the taste information preferred by the user exists in the taste type menu data set, the menu is used as feedback information of the menu matched with the taste and sent to the intelligent equipment; otherwise, sending feedback information without the taste information menu to the intelligent equipment;
and S13, the intelligent equipment provides the feedback information of the server for the user preference taste information to the user.
3. The intelligent menu recommendation method based on voice recognition according to claim 1, further comprising the following steps S21-S24:
step S21, the intelligent equipment counts the attention times of a user for the dishes of all administrative areas provided for the user in a preset time period;
and S22, the intelligent equipment provides the counted administrative region type menu with the maximum attention frequency as a priority recommended menu for the user.
4. The intelligent menu recommendation method based on voice recognition of claim 3, wherein the attention times are browsing times and/or favorable times of the user for the menu of the administrative region.
5. The intelligent menu recommendation method based on voice recognition according to any one of claims 1 to 4, characterized in that the administrative region is a provincial administrative region or a district-level municipal administrative region, and the network IP of the intelligent device is displayed at least to a county-level address.
6. The intelligent menu recommendation method based on speech recognition according to any one of claims 1 to 4, wherein the intelligent device further comprises, after receiving the user speech and before making a recognition judgment on the user speech:
when the intelligent equipment judges that the user voice is abnormal, the intelligent equipment obtains a recognition result aiming at whether the user voice is Mandarin or not by increasing the acquisition times of acquiring the user voice.
7. The intelligent menu recommendation method based on voice recognition according to any one of claims 1 to 4, characterized in that the intelligent device is a mobile terminal or a kitchen electrical device.
8. The intelligent menu recommendation method based on voice recognition according to any one of claims 1 to 4, characterized by further comprising:
the intelligent equipment acquires all data in the cloud menu database from a server according to a preset period, and stores the acquired Yun Caipu database serving as a local menu database into the intelligent equipment;
when the intelligent equipment receives the voice of the user and the network connection between the intelligent equipment and the server is abnormal, the intelligent equipment respectively and correspondingly executes the functions of the server in the steps 2 to 5 so as to search the preset number of the administrative region type menus in the local menu database and provide the searched administrative region type menus as recommended menus for the user.
9. The intelligent menu recommendation method based on voice recognition according to any one of claims 1 to 4, characterized by further comprising:
the cloud recipe database also comprises a national recipe data set formed based on the national wearing characteristics;
after receiving the voice of the user, the intelligent equipment acquires a wearing characteristic image of the user and sends the wearing characteristic image of the user to a server;
the server searches for a national menu matched with the wearing feature of the user in the cloud menu database according to the received wearing feature image of the user;
and the server sends the searched ethnic menu to the intelligent equipment, and the intelligent equipment provides the ethnic menu to the user.
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| CN110992928A (en) * | 2019-11-26 | 2020-04-10 | 维沃移动通信有限公司 | Audio processing method and terminal equipment |
| CN112417068B (en) * | 2020-10-28 | 2022-12-13 | 天津五八到家货运服务有限公司 | Ordering address recommendation method and system and electronic equipment |
| CN113673643A (en) * | 2021-08-19 | 2021-11-19 | 江苏农牧人电子商务股份有限公司 | Method and system for supervising agricultural product supply |
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