WO2020038351A1 - 信息推送方法 - Google Patents

信息推送方法 Download PDF

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Publication number
WO2020038351A1
WO2020038351A1 PCT/CN2019/101535 CN2019101535W WO2020038351A1 WO 2020038351 A1 WO2020038351 A1 WO 2020038351A1 CN 2019101535 W CN2019101535 W CN 2019101535W WO 2020038351 A1 WO2020038351 A1 WO 2020038351A1
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WO
WIPO (PCT)
Prior art keywords
raw material
information
user
recipe information
identifier
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Application number
PCT/CN2019/101535
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English (en)
French (fr)
Inventor
陈晓磊
Original Assignee
上海掌门科技有限公司
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Publication date
Application filed by 上海掌门科技有限公司 filed Critical 上海掌门科技有限公司
Publication of WO2020038351A1 publication Critical patent/WO2020038351A1/zh

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0631Item recommendations

Definitions

  • This application relates to the field of computers, specifically to the field of Internet, and in particular, to methods for pushing information.
  • This embodiment of the application provides a method for pushing information.
  • An embodiment of the present application provides an information pushing method, which includes: obtaining a raw material identifier in a shopping cart page corresponding to a user identifier of a user in a shopping platform, and determining recommended recipe information pushed to the user based on the obtained raw material identifier, wherein Each recommended recipe information is determined based on at least a part of the raw material identification in the obtained raw material identification; determining the raw material recommendation information associated with the raw material recommended for the user to purchase, the raw material recommendation information includes: the recommended recipe information in addition to the obtained raw materials Identification of raw materials other than the identification; push the determined recommended recipe information and raw material recommendation information to the user.
  • the information pushing method determines the recommended recipe information pushed to the user based on the raw material identifier in the shopping cart page corresponding to the user identifier of the user in the shopping platform, and based on the obtained raw material identifier.
  • the recommended recipe information is determined based on at least a portion of the raw material identifications obtained from the obtained raw material identifications; and the raw material recommendation information associated with the raw materials recommended for the user to purchase is determined.
  • the raw material recommendation information includes: Raw material identification; push the determined recommended recipe information and raw material recommendation information to the user. It enables users to understand the dishes that raw materials can cook and facilitates the purchase of related raw materials.
  • FIG. 1 illustrates an exemplary system architecture that can be applied to an embodiment of the information push method of the present application
  • FIG. 2 shows a flowchart of an embodiment of an information pushing method according to the present application
  • FIG. 3 shows a schematic flowchart of pushing recommended recipe information and raw material recommendation information to a user.
  • FIG. 1 illustrates an exemplary system architecture suitable for use in implementing embodiments of the present application.
  • the system architecture may include a terminal 101, a network 102, and a server 103.
  • the network 102 may include various connection types, such as a wired, wireless transmission link, or fiber optic cable, and so on.
  • the terminal 101 transmits data to the server 103 through the network 102.
  • the terminal 101 may include, but is not limited to, a smart phone, a tablet computer, an e-book reader, a laptop computer, and a desktop computer.
  • the server 103 may be a server of a shopping platform.
  • the server 103 stores links to order pages of raw materials provided by a plurality of merchants, user identifications of users of the terminal 101, raw material purchase consumption records, and the like.
  • the user may add information about the items to be settled and purchased by the user of the terminal 101 to the shopping cart page and present it to the user. Items to be settled can be added to the shopping cart.
  • the server 103 may obtain the raw material identification of the raw materials that the user has purchased in the shopping cart page bound to the user identification of the user of the terminal 101, and determine recommended recipe information pushed to the user according to the obtained one or more raw material identifications. And raw material recommendation information, recommended recipe information and raw material recommendation information are sent to the terminal 101.
  • FIG. 2 shows a flowchart of an embodiment of an information pushing method according to the present application.
  • the information pushing method provided in the embodiment of the present application may be executed by a server (for example, server 103 in FIG. 1).
  • the method includes the following steps:
  • Step 201 Obtain a raw material identifier in a shopping cart page, and determine recommended recipe information to be pushed to a user based on the obtained raw material identifier.
  • the raw material identifier may be a raw material name.
  • the raw material ID in the shopping cart page corresponding to the user ID of the user in the shopping platform can be obtained.
  • the shopping cart page corresponding to the user ID of the user may be equivalent to a page that establishes a corresponding relationship with the user ID of the user when the shopping platform is in the login state.
  • the shopping cart page corresponding to the user's user ID is used to present to the user the items that the user has purchased for settlement, and the effect can be equivalent to the user adding the purchased items to the shopping cart.
  • the items to be settled by the user can be added to the shopping cart page corresponding to the user ID of the user.
  • a raw material identifier of a raw material purchased by a user corresponds to an information item to be settled.
  • the information items to be settled corresponding to the raw material identification of a raw material purchased by a user include: a link to an order page of the raw material, a commodity name of the raw material in the order page, and information on a purchase amount of the raw material.
  • one piece of recipe information belongs to one dish.
  • the recipe information for a dish includes the raw material identification of the raw materials required to cook the dish.
  • the recipe information for pushing to the user may be referred to as recommended recipe information.
  • the obtained raw material identifier may be one or more, and the determined number of recommended recipe information pushed to the user may be multiple, and each of the recommended recipe information includes at least part of the obtained raw material identifier.
  • a plurality of recipe information may be stored in advance.
  • the recommended recipe information pushed to the user may be found from a plurality of pre-stored recipe information.
  • Each recommended recipe information is determined based on at least a part of the raw material identifications obtained from the obtained raw material identifications.
  • Each recommended recipe information contains at least part of the raw materials obtained.
  • Each of the recommended recipe information may also only include at least a part of the raw material identification in the obtained raw material identification.
  • the recipe information can be used as recommended recipe information.
  • the recipe information can also be used as recommended recipe information.
  • each piece of recommended recipe information that is determined to be pushed to the user may be recipe information that includes as much of the obtained raw material identification as possible.
  • one recipe information contains two raw material identifiers among all the obtained raw material identifiers
  • the other recipe information contains three raw material identifiers among all the obtained raw material identifiers
  • all the raw material identifiers obtained will be preferentially included
  • the recipe information identified by the three raw materials is used as recommended recipe information pushed to the user.
  • candidate recipe information may be found from a preset database.
  • the preset database includes: recipe information including raw material identification and associated information corresponding to the recipe information.
  • the associated information corresponding to recipe information includes: flavor information and evaluation information.
  • the evaluation information includes: comment information, the number of comment information, and the number of positive indication information.
  • the candidate recipe information includes at least one raw material identifier among all the obtained raw material identifiers.
  • the user's taste preference information can be obtained, and candidate recipe information satisfying preset recommendation conditions is found from all candidate recipe information.
  • the preset recommendation conditions include: the flavor information in the corresponding associated information matches the user's taste preference information.
  • Candidate recipe information that matches flavor information in the corresponding associated information with the user's taste preference information can be found from all candidate recipe information as candidate recipe information that meets the preset recommendation conditions. Then, the candidate recipe information that satisfies the preset recommendation condition may be sorted based on the evaluation information in the associated information corresponding to the candidate recipe information that satisfies the preset recommendation condition. It is possible to calculate the sum of the number of comment information and the number of positive indication information in the associated information corresponding to each candidate recipe information that meets the preset recommendation conditions, and then, according to the calculation result, the candidate recipe information that meets the preset recommendation conditions is Set the candidate recipe information of the recommendation conditions to sort.
  • the candidates in the sorted candidate recipe information that meet the preset recommendation conditions after being sorted are less than the order threshold.
  • the recipe information is used as recommended recipe information. In other words, multiple pieces of candidate recipe information are pushed to the user for the number of review information and the number of positive indication information of all the candidate recipe information satisfying the preset recommendation conditions.
  • the user's taste preference information may be generated based on the flavor information in the associated information corresponding to the historical recommended recipe information associated with the user's preset operation.
  • the preset operations include: a browse operation, a comment operation, a favorable comment operation, and a selection operation for selecting recipe information as recipe information for cooking.
  • the praise indication information may indicate a user's praise for the recommended recipe information pushed to the user. For example, when a user clicks on a button named "Like" when browsing a recipe information pushed to the user, a favorable indication information of the recipe information pushed to the user is generated. The user can input the review information of the recipe information pushed to the user at the terminal, and the user's terminal sends the review information of the recipe information pushed to the user to the server and stores it in the server.
  • a recommended recipe information that has been pushed to a user meets at least one of the following conditions: viewed by the user, reviewed by the user, praised by the user, selected by the user as recipe information for cooking, etc.
  • It can be used as historical recommended recipe information associated with the user's preset operation for analyzing the taste preferences of the user.
  • the user's taste preference information can be determined according to the flavor information in the related information that the user has browsed, commented on by the user, praised by the user, and selected by the user as corresponding information of the historical recommended recipe information for cooking.
  • raw material preference information of a user may be generated in advance.
  • the user may be presented with multiple types of raw material identification options in advance, the user selects the favorite raw material identification and the user does not like the raw material identification, and determines the raw material identification that the user likes and the raw material identification that the user does not like.
  • the raw material identification that the user likes may be determined according to the raw material identification in the recipe information that the user has selected for cooking, the raw material identification in the recipe information that the user gives a favorable comment, and the like.
  • the raw material identifiers commonly contained in the historical recommended recipe information that the user has not viewed may be determined as the raw material identifiers that the user does not like.
  • multiple types of raw material identification options may be presented to the user in advance, and the user selects the favorite raw material identification to determine the raw material identification that the user likes. It is also possible to determine the raw material identification that the user likes based on the raw material identification in the recipe information that the user has selected for cooking and the raw material identification in the recipe information that the user has given favorable comments.
  • the preset recommendation conditions further include: including at least a part of the raw material identifiers other than the obtained raw material identifiers as the user's raw material preference information The user's favorite raw material identification in.
  • the candidate recipe information is to satisfy preset recommendation conditions Candidate recipe information.
  • the raw material identification that the user likes may be determined based on the raw material purchase record of the user. For example, the raw material identifier of the raw material that the user has purchased multiple times may be determined as the raw material identifier that the user likes.
  • the preset recommendation condition further includes: a raw material identifier that the user does not like in the raw material preference information of the user is not included.
  • a raw material identifier that the user does not like in the raw material preference information of the user is not included.
  • determining raw materials that the user does not like logo based on different raw material identifiers in historical recommended recipe information that the user has not viewed and historical recommended recipe information associated with the user's preset operation, determining raw materials that the user does not like logo. For example, a raw material identifier in historical recommended recipe information that has not been viewed by the user that does not appear in the historical recommended recipe information associated with the user's preset operation may be determined as a raw material identifier that the user does not like.
  • Step 202 Determine raw material recommendation information associated with the raw materials recommended to the user.
  • the raw material recommendation information includes a raw material identification other than the obtained raw material identification in the recommended recipe information.
  • a raw material identification other than the obtained raw material identification in the recommended recipe information may be determined separately.
  • a recommended recipe information pushed to the user includes: raw material identification such as “chicken”, “peanut rice”, “scallion”, etc.
  • the obtained raw material identification includes: “chicken”, “peanut rice”, the recommended raw material information includes The raw material identification "onion” other than the obtained raw material identification.
  • the raw material recommendation information further includes: a link to the order page of the raw material to which the raw material identification belongs in the recommended recipe information other than the obtained raw material identification.
  • the recommended recipe information when determining a link to an order page of a raw material to which the raw material identification belongs in the raw material recommendation information other than the obtained raw material identification, the recommended recipe information may be determined based on the reference information.
  • the reference information includes at least one of the following: Review information, sales information of the merchant's raw materials, the number of times the user purchases raw materials at the merchant, consumer spending information, and the distance between the merchant's shipping location and the user's receiving location.
  • the raw materials to which one raw material identification belongs in addition to the obtained raw material identification multiple vendors provide the raw materials.
  • a total score can be calculated separately, and all merchants providing the raw material are sorted according to the total score, the higher the score , The smaller the order, the link of the order page of the raw material of the merchant whose order is less than the order threshold can be pushed to the user as the link of the order page of the raw material in the raw material recommendation information.
  • the score may be the sum of the scores of each item in the reference information.
  • the more positive information in the review information the higher the score corresponding to the review information.
  • the more sales the higher the score for sales.
  • the more times a user buys raw materials at a merchant the more times a user buys raw materials at a merchant, the higher the score.
  • the more the price of the raw materials provided by the merchant matches the consumer's spending power information, the higher the score corresponding to the consumer's spending power information.
  • the closer the distance between the merchant's shipping location and the user's receiving location the higher the score corresponding to the distance between the merchant's shipping location and the user's receiving location.
  • the price range of the price of the raw material purchased by the user can be determined based on the user's raw material purchase record, and generated based on the price range of the price of the raw material purchased by the user. Consumer spending information.
  • the recommendation reason information corresponding to the reference information on which the raw material recommendation information associated with the raw material recommended to the user is determined can be generated, and the recommendation reason information corresponding to the reference information is pushed to user.
  • the recommendation reason information is associated with the reference information based on which the recommended recipe information pushed to the user is determined. For example, when there is a large amount of favorable information in the review information and the recommended recipe information provided by the merchant who has a shipping location closer to the user's receiving location, the raw material identification other than the obtained raw material identification belongs to the raw material identification.
  • the recommendation reason information corresponding to the information may be, for example, "a business that is closer to you and has received a lot of favorable comments.”
  • Step 203 Push the determined recommended recipe information and raw material recommendation information to the user.
  • the recommended recipe information and raw material recommendation information pushed to the user may be pushed to the user.
  • the recommended recipe information may be presented on a user terminal in a presentation area corresponding to each recommended recipe information.
  • the determined recommended recipe may be presented to the user in a shopping cart page corresponding to the user's user ID. At least part of the information and raw material recommendation information.
  • the raw material recommendation information includes a raw material identification other than the obtained raw material identification and a link to an order page of a raw material to which the raw material identification belongs other than the obtained raw material identification, at least the user may be presented with the raw material identification Identification of raw materials other than.
  • the user when the user selects recommended recipe information for cooking from all the recommended recipe information, the user may select recommended recipe information for cooking from all the recommended recipe information. , Generating a to-be-settled information item corresponding to a raw material identifier other than the obtained raw material identifier in the recommended recipe information selected by the user for cooking.
  • the to-be-settlement information area may contain recommended recipe information selected by the user for cooking
  • the information items to be settled corresponding to the raw material identifiers of the raw materials that the user has purchased in, and the information items to be settled corresponding to the raw material identifiers of the raw materials that the user has purchased in the recommended recipe information selected by the user for cooking include: The user has selected the raw material in the recommended recipe information for cooking selected by the user. The link to the order page of the raw material to which the user belongs. The user in the ordered page has selected the raw material in the recommended recipe information for cooking selected by the user. The product name of the raw material to which the identifier belongs, and the purchase amount information of the raw material to which the raw material identifier belongs in the recommended recipe information selected by the user for cooking that the user has selected.
  • Each raw material identifier other than the obtained raw material identifier in a recommended recipe information selected by the user for cooking corresponds to an information item to be settled, respectively.
  • the information items to be settled corresponding to a raw material identifier other than the obtained raw material identifier in the selected recommended recipe information for cooking selected by the user include: a link to the order page of the raw material to which the raw material identifier belongs, ordering The product name of the raw material to which the raw material identifier belongs on the page, and the purchase amount information of the raw material to which the raw material identifier belongs.
  • the item to be settled corresponding to each raw material identifier in the recommended recipe information selected by the user for cooking except for the obtained raw material identifier may be the information to be settled in the shopping cart page corresponding to the user identifier of the user
  • the area is presented to the user. In other words, it is equivalent to automatically generating a to-be-settled information item corresponding to each raw material identifier in the recommended recipe information selected by the user for settlement and used for cooking, except for the obtained raw material identifier, and adding it to the user's user identifier Presented to the user in the information area to be settled on the corresponding shopping cart page.
  • the order page of the raw material to which the raw material identifier belongs in the information item to be settled corresponding to the raw material identifier is There can be multiple links that belong to different businesses. Correspondingly, there may be multiple commodity names of the raw materials to which the raw material identifier belongs on the ordering page. Users can click the link on the order page to jump to that order page.
  • the user can click the button indicating to add to the shopping cart on the order page, at this time, the item of information to be settled corresponding to the raw material identifier can be deleted
  • the link of the order page of the raw material of the merchant, the product name of the raw material in the order page, and the purchase amount may be a preset amount by default, and the information item to be settled corresponding to the raw material identifier may be used for final settlement.
  • the user clicks the button indicating settlement in the shopping cart page he can jump to the settlement page and present the settlement page to the user.
  • a user may perform a click operation on a shopping cart page on a raw material identification other than the obtained raw material identification in the recommended recipe information presented to the user in the raw material recommendation information.
  • Cursor hover operation and other preset operations.
  • the user is presented with the raw material identifier that the user clicks or the cursor hovers over. A link to the order page for the material to which it belongs.
  • the user can click the link of the order page of the raw material to which the raw material ID belongs in the recommended recipe information in the raw material recommendation information, further facilitating the user to purchase the recommended recipe information in the raw material recommendation information.
  • the raw materials to which the raw material identification belongs in addition to the obtained raw material identification.
  • the information area to be settled in the shopping cart page corresponding to the user ID of the user includes: the information item to be settled corresponding to the obtained raw material ID, in addition to the obtained raw material ID
  • the user can input the number of diners in the terminal, and can determine the purchase amount information of the raw materials to which the raw material identifier in each of the information items to be settled is based on the number of diners entered by the user.
  • the plurality of recipe information that can be stored in advance includes a preset purchase amount of raw materials and a preset number of diners.
  • the preset number of diners is the number of diners suitable for cooking dishes corresponding to recipe information with a preset purchase amount.
  • the purchase amount information of the raw materials to which the raw material identifiers in each of the information items to be settled belong the purchase amount information of the raw materials to which the raw material identifiers in the to-be-settled information items belonging to the same recommended recipe information are respectively determined.
  • the number of meals indicated by the number of meals entered by the user and the recommended recipe information may be calculated.
  • the preset ratio of the number of diners determines the purchase amount information of the raw materials to which the raw material identifier in the information item to be settled corresponding to each raw material identifier belonging to the recommended recipe information will belong to the recommended recipe information.
  • the purchase amount information of the raw materials in each of the information items to be settled is set as the determined purchase amount information.
  • the recommended recipe information pushed to the user includes recommended recipe information 1, recommended recipe information 2, and the to-be-checked information area on the shopping cart page corresponding to the user ID of the user includes the pending recipe information corresponding to each raw material identifier in the recommended recipe information 1.
  • the purchase amount in the item to be settled corresponding to each raw material identifier in the recommended recipe information 1 and the purchase amount in the item to be settled corresponding to each raw material identifier in the recommended recipe information 2 may be determined separately.
  • the recommended recipe information 1 it is possible to calculate the ratio of the number of diners indicated by the number of diners input by the user to the preset number of diners corresponding to the recommended recipe information 1. Based on the calculated ratio, each raw material identifier belonging to the recommended recipe information 1 is determined. The purchase amount information of the raw material to which the raw material identifier in the corresponding to-be-setup information item belongs, and the purchase amount information of the raw material in the to-be-settled information item corresponding to each raw material identifier belonging to the recommended recipe information 1 is set as the determined purchase amount information .
  • the ratio of the number of diners indicated by the number of diners input by the user to the preset number of diners corresponding to the recommended recipe information 2 may be calculated, and according to the calculated ratio, each raw material identifier belonging to the recommended recipe information 2 may be determined
  • the purchase amount information of the raw material to which the raw material identifier in the corresponding to-be-settlement information item belongs, and the purchase amount information of the raw material in the to-be-settled information item corresponding to each raw material identifier belonging to the recommended recipe information 2 is set as the determined purchase amount information .
  • the user may select the raw material identifier selected by the user in the raw material recommendation information, that is, the recommended recipe information in the raw material recommendation information selected by the user, in addition to the obtained raw material identifier.
  • the raw material identification is deleted.
  • the deleted raw material identifier may be determined as a raw material identifier that the user does not like, and the included information that has been presented to the user may be deleted.
  • the recommended recipe information of the raw material identification is hidden.
  • the user may perform a search instruction operation on a raw material identifier selected by the user in the raw material recommendation information, and may perform a search instruction operation on the raw material identifier selected by the user in the raw material recommendation information.
  • a search instruction operation on a raw material identifier selected by the user in the raw material recommendation information
  • a search instruction operation on the raw material identifier selected by the user in the raw material recommendation information.
  • the user may select recommended recipe information for cooking from all the recommended recipe information. Based on the recommended recipe information selected by the user for cooking and nutrition configuration information indicating the purchase amount of the nutrient components that need to be taken in, the missing nutrition component and the nutrition component with insufficient purchase amount can be determined. The raw materials or finished foods associated with the missing nutrients and insufficiently purchased nutrients can be determined based on the missing nutrients and insufficiently purchased nutrients. The user can push the link to the order page of the identified raw materials or finished dishes.
  • FIG. 3 illustrates a schematic flowchart of pushing recommended recipe information and raw material recommendation information to a user.
  • the user has purchased chicken, beef, lettuce, cucumber, lettuce and other raw materials.
  • the shopping cart page contains the raw material identification of chicken, beef, lettuce, cucumber, lettuce and other raw materials.
  • the server can obtain the chicken, beef, lettuce in the shopping cart page. , Cucumber, lettuce and other raw material identification, identified N recommended recipe information and raw material recommendation information.
  • the raw material recommendation information includes a raw material identification other than the obtained raw material identification, and a link to an order page of the raw material identification other than the obtained raw material identification.
  • the server sends the determined recommended recipe information and raw material recommendation information to the terminal, and presents at least part of the recommended recipe information and raw material recommendation information to the user on the shopping cart page.
  • This application further provides a server, which may be configured with one or more processors; a memory configured to store one or more programs, and the one or more programs may include operations for performing operations described in the foregoing embodiments. Instructions. When one or more programs are executed by one or more processors, the one or more processors are caused to perform the operations described in the above embodiments.
  • the present application also provides a computer-readable medium, which may be included on the server; or may exist alone and not assembled on the server.
  • the computer-readable medium carries one or more programs, and when the one or more programs are executed by the server, the server is caused to: obtain a raw material identifier in a shopping cart page corresponding to a user identifier of a user in a shopping platform, and The obtained raw material identification determines the recommended recipe information pushed to the user, wherein each recommended recipe information is determined based on at least part of the raw material identification in the obtained raw material identification; determining the raw material recommendation information associated with the raw material recommended to the user,
  • the raw material recommendation information includes: a raw material identification other than the obtained raw material identification in the recommended recipe information; and pushing the determined recommended recipe information and raw material recommendation information to a user.
  • the computer-readable medium described in this application may be a computer-readable signal medium or a computer-readable storage medium or any combination of the foregoing.
  • the computer-readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections with one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable Programming read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the foregoing.
  • a computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in combination with an instruction execution system, apparatus, or device.
  • a computer-readable signal medium may include a data signal that is included in baseband or propagated as part of a carrier wave, and which carries computer-readable program code. Such a propagated data signal may take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing.
  • the computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, and the computer-readable medium may send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device .
  • Program code embodied on a computer-readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

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Abstract

本申请实施例公开了信息推送方法。该方法的一具体实施方式包括:获取购物平台中用户的用户标识对应的购物车页面中的原材料标识,以及基于获取到的原材料标识,确定推送给用户的推荐菜谱信息,其中,每一个推荐菜谱信息基于获取到的原材料标识中的至少部分原材料标识而确定;确定与建议用户购买的原材料相关联的原材料推荐信息,原材料推荐信息包括:推荐菜谱信息中的除了获取到的原材料标识之外的原材料标识;将确定出的推荐菜谱信息和原材料推荐信息推送给用户。使得用户了解原材料可以烹饪出的菜并且方便购买相关的原材料。

Description

信息推送方法 技术领域
本申请涉及计算机领域,具体涉及互联网领域,尤其涉及信息推送方法。
背景技术
用户进行烹饪时,经常会有了解菜如何进行烹饪的需要。通常用户需要通过搜索引擎输入期望烹饪的菜的名称,由用户自行从所有搜索结果中筛选出菜式的菜谱类的搜索结果。
发明内容
本申请实施例提供了信息推送方法。
本申请实施例提供了信息推送方法,该方法包括:获取购物平台中用户的用户标识对应的购物车页面中的原材料标识,以及基于获取到的原材料标识,确定推送给用户的推荐菜谱信息,其中,每一个推荐菜谱信息基于获取到的原材料标识中的至少部分原材料标识而确定;确定与建议用户购买的原材料相关联的原材料推荐信息,原材料推荐信息包括:推荐菜谱信息中的除了获取到的原材料标识之外的原材料标识;将确定出的推荐菜谱信息和原材料推荐信息推送给用户。
本申请实施例提供的信息推送方法,通过获取购物平台中用户的用户标识对应的购物车页面中的原材料标识,以及基于获取到的原材料标识,确定推送给用户的推荐菜谱信息,其中,每一个推荐菜谱信息基于获取到的原材料标识中的至少部分原材料标识而确定;确定与建议用户购买的原材料相关联的原材料推荐信息,原材料推荐信息包括:推荐菜谱信息中的除了获取到的原材料标识之外的原材料标识;将确定出的推荐菜谱信息和原材料推荐信息推送给用户。使得用户了解原材料可以烹饪出的菜并且方便购买相关的原材料。
附图说明
通过阅读参照以下附图所作的对非限制性实施例所作的详细描述,本申请的其它特征、目的和优点将会变得更明显:
图1示出了可以应用于本申请的信息推送方法的实施例的示例性系统架构;
图2示出了根据本申请的信息推送方法的一个实施例的流程图;
图3示出了向用户推送推荐菜谱信息和原材料推荐信息的一个流程示意图。
具体实施方式
下面结合附图和实施例对本申请作进一步的详细说明。可以理解的是,此处所描述的具体实施例仅仅用于解释相关发明,而非对该发明的限定。另外还需要说明的是,为了便于描述,附图中仅示出了与有关发明相关的部分。
需要说明的是,在不冲突的情况下,本申请中的实施例及实施例中的特征可以相互组合。下面将参考附图并结合实施例来详细说明本申请。
图1示出了适于用来实现本申请实施例的示例性系统架构。
如图1所示,系统架构可以包括终端101、网络102、服务器103。网络102可以包括各种连接类型,例如有线、无线传输链路或者光纤电缆等等。
终端101通过网络102与服务器103传输数据,终端101可以包括但不限于智能手机、平板电脑、电子书阅读器、膝上型便携计算机、台式计算机。
服务器103可以为购物平台的服务器,服务器103上存储有多个商家的提供的原材料的订购页面的链接、终端101的用户的用户标识、原材料购买消费记录等。终端101的用户在购物平台进行在线购物时,可以将终端101的用户选购的待结算的商品的相关信息加入到购物车页面中呈现给用户,可以称之为将终端101的用户选购的待结算的商品可以加入到购物车中。
服务器103可以获取与终端101的用户的用户标识绑定的购物车页 面中的用户已选购的原材料的原材料标识,根据获取到的一个或多个原材料标识,确定出推送给用户的推荐菜谱信息和原材料推荐信息,推荐菜谱信息和原材料推荐信息发送至终端101。
请参考图2,其示出了根据本申请的信息推送方法的一个实施例的流程图。本申请实施例所提供的信息推送方法可以由服务器(例如图1中的服务器103)执行。该方法包括以下步骤:
步骤201,获取购物车页面中的原材料标识,以及基于获取到的原材料标识,确定推送给用户的推荐菜谱信息。
在本实施例中,原材料标识可以为原材料名称。可以获取购物平台中用户的用户标识对应的购物车页面中的原材料标识。用户的用户标识对应的购物车页面可以相当于用户在购物平台处于登陆状态时,与用户的用户标识建立对应关系的页面。用户的用户标识对应的购物车页面用于向用户呈现用户已经选购的待结算的商品,其效果可以相当于用户将选购的商品加入到购物车中。用户在购物平台处于登陆状态时,用户选购的待结算的商品可以加入到用户的用户标识对应的购物车页面中。用户在购物平台处于登陆状态时,用户每选购一个原材料,均可以生成一个用户选购的原材料对应的待结算信息项,在购物车页面中的待结算信息区域中呈现给用户。一个用户选购的原材料的原材料标识对应一个待结算信息项。一个用户选购的一个原材料的原材料标识对应的待结算信息项包括:该原材料的订购页面的链接、订购页面中的该原材料的商品名称、该原材料购买量信息。用户点击购物车页面中的表示结算的按钮后,可以跳转到结算页面,向用户呈现结算页面。
在本实施例中,一个菜谱信息属于一道菜。一道菜的菜谱信息包括烹饪该道菜所需的原材料的原材料标识。可以将用于推送给用户的菜谱信息称之为推荐菜谱信息。获取到的原材料标识可以为一个或多个,确定出的推送给用户的推荐菜谱信息的数量可以为多个,每一个推荐菜谱信息均包括获取到的至少部分原材料标识。
在本实施例中,可以预先存储的多个菜谱信息。当基于获取到的原材料标识,确定推送给用户的推荐菜谱信息时,可以从预先存储的多个菜谱信息中查找出推送给用户的推荐菜谱信息。每一个推荐菜谱信息基于获取到的原材料标识中的至少部分原材料标识而确定。每一个推荐菜 谱信息包含获取到的原材料中的至少部分原材料。每一个推荐菜谱信息也可以仅包含获取到的原材料标识中的至少部分原材料标识。
例如,一个预先存储的菜谱信息中包含获取到的所有原材料标识,则该菜谱信息可以作为推荐菜谱信息。又例如,当一个预先存储的菜谱信息中包含获取到的所有原材料标识中的部分原材料标识,则该菜谱信息也可以作为推荐菜谱信息。
在本实施例中,确定出的推送给用户的每一个推荐菜谱信息可以为尽可能多地包含获取到的原材料标识的菜谱信息。
例如,当一个菜谱信息中包含获取到的所有原材料标识中的两个原材料标识,另一个菜谱信息中包含获取到的所有原材料标识中的三个原材料标识,则优先将包含获取到的所有原材料标识中的三个原材料标识的菜谱信息作为推送给用户的推荐菜谱信息。
在本实施例中,对于获取到的每一个原材料标识,在确定出所有推送给用户的推荐菜谱信息中,均具有包含该原材料标识的推荐菜谱信息。
在本实施例的一些可选的实现方式中,当基于获取到的原材料标识,确定推送给用户的推荐菜谱信息时,可以从预设数据库中查找出候选菜谱信息。预设数据库包括:包括原材料标识的菜谱信息、菜谱信息对应的关联信息,菜谱信息对应的关联信息包括:风味信息、评价信息。评价信息包括:评论信息、评论信息的数量、好评指示信息的数量。候选菜谱信息包括:获取到的所有原材料标识中的至少一个原材料标识。可以获取用户的口味偏好信息,从所有候选菜谱信息中查找出满足预设推荐条件的候选菜谱信息,预设推荐条件包括:对应的关联信息中的风味信息与用户的口味偏好信息匹配。可以从所有候选菜谱信息中查找出对应的关联信息中的风味信息与用户的口味偏好信息匹配的候选菜谱信息作为满足预设推荐条件的候选菜谱信息。然后,可以基于查找出的满足预设推荐条件的候选菜谱信息对应的关联信息中的评价信息,对满足预设推荐条件的候选菜谱信息进行排序。可以计算每一个满足预设推荐条件的候选菜谱信息对应的关联信息中的评论信息的数量和好评指示信息的数量之和,然后,根据计算结果满足预设推荐条件的候选菜谱信息对所有满足预设推荐条件的候选菜谱信息进行排序。在排序之 后,对应的关联信息中的评论信息的数量和好评指示信息的数量之和越大,次序越小,将排序后的满足预设推荐条件的候选菜谱信息中的次序小于次序阈值的候选菜谱信息作为推荐菜谱信息。换言之,将所有满足预设推荐条件的候选菜谱信息的评论信息的数量和好评指示信息的数量多个候选菜谱信息推送给用户。
在本实施例的一些可选的实现方式中,可以基于与用户的预设操作相关联的历史推荐菜谱信息对应的关联信息中的风味信息,生成用户的口味偏好信息。预设操作包括:浏览操作、评论操作、好评指示操作、用于选取菜谱信息作为用于烹饪的菜谱信息的选取操作。好评指示信息可以指示用户对推送给用户的推荐菜谱信息的好评。例如,用户在浏览一个推送给用户的菜谱信息时点击一次名称为“点赞”的按钮,则生成一个该推送给用户的菜谱信息的好评指示信息。用户可以通过在终端输入对推送给用户的菜谱信息的评论信息,由用户的终端将对推送给用户的菜谱信息的评论信息发送至服务器,在服务器存储。
换言之,当一个向用户推送过的推荐菜谱信息满足被该用户浏览过、被该用户评论过、被该用户给予过好评、被该用户选取为用于烹饪的菜谱信息等条件中的至少一个条件,则可以作为用于分析该用户的口味偏好的与用户的预设操作相关联的历史推荐菜谱信息。可以根据用户浏览过、被该用户评论过、被该用户给予过好评、被该用户选取作为用于烹饪的历史推荐菜谱信息对应的关联信息中的风味信息,确定用户的口味偏好信息。
在本实施例中,可以预先生成用户的原材料偏好信息。例如,可以预先向用户呈现多个类型的原材料标识的选项,由用户选取喜欢的原材料标识和用户不喜欢的原材料标识,确定用户喜欢的原材料标识和用户不喜欢的原材料标识。可以根据用户选取过的用于烹饪的菜谱信息中的原材料标识、用户给予好评的菜谱信息中的原材料标识等,确定用户喜欢的原材料标识。可以将用户未浏览过的历史推荐菜谱信息中共同包含的原材料标识确定为用户不喜欢的原材料标识。
在本实施例的一些可选的实现方式中,可以预先向用户呈现多个类型的原材料标识的选项,由用户选取喜欢的原材料标识,确定用户喜欢的原材料标识。也可以根据用户选取过的用于烹饪的菜谱信息中的原材 料标识、用户给予好评的菜谱信息中的原材料标识等,确定用户喜欢的原材料标识。
当从候选菜谱信息中查找出满足预设推荐条件的候选菜谱信息时,预设推荐条件还包括:包括除了获取到的原材料标识之外的原材料标识中的至少部分原材料标识为用户的原材料偏好信息中的用户喜欢的原材料标识。当一个候选菜谱信息包括的除了获取到的原材料标识之外的原材料标识中的至少部分原材料标识为用户的原材料偏好信息中的用户喜欢的原材料标识时,则该候选菜谱信息为满足预设推荐条件的候选菜谱信息。
在本实施例的一些可选的实现方式中,可以基于用户的原材料购买记录,确定用户喜欢的原材料标识。例如,可以将用户多次购买过的原材料的原材料标识确定为用户喜欢的原材料标识。
在本实施例的一些可选的实现方式中,预设推荐条件还包括:未包括用户的原材料偏好信息中的用户不喜欢的原材料标识。当一个候选菜谱信息包括用户的原材料偏好信息中的用户不喜欢的原材料标识时,则不将该候选菜谱信息作为推荐菜谱信息。
在本实施例的一些可选的实现方式中,基于用户未浏览过的历史推荐菜谱信息和与用户的预设操作相关联的历史推荐菜谱信息中的不同的原材料标识,确定用户不喜欢的原材料标识。例如,可以将用户未浏览过的历史推荐菜谱信息中的未出现在与用户的预设操作相关联的历史推荐菜谱信息中的原材料标识确定为用户不喜欢的原材料标识。
步骤202,确定与建议用户购买的原材料相关联的原材料推荐信息。
在本实施例中,原材料推荐信息包括:推荐菜谱信息中的除了获取到的原材料标识之外的原材料标识。对于每一个推荐菜谱信息,可以分别确定推荐菜谱信息中的除了获取到的原材料标识之外的原材料标识。
例如,一个推送给用户的推荐菜谱信息包括:“鸡肉”、“花生米”、“葱”等原材料标识,获取到的原材料标识包括:“鸡肉”、“花生米”,则原材料推荐信息包括除了获取到的原材料标识之外的原材料标识“葱”。
在本实施例的一些可选的实现方式中,原材料推荐信息还包括:推 荐菜谱信息中的除了获取到的原材料标识之外的原材料标识所属的原材料的订购页面的链接。
在本实施例的一些可选的实现方式中,当确定原材料推荐信息中的除了获取到的原材料标识之外的原材料标识所属的原材料的订购页面的链接时,可以基于参考信息,确定推荐菜谱信息中的除了获取到的原材料标识之外的原材料标识所属的原材料的订购页面的链接,参考信息包括以下至少一项:提供除了获取到的原材料标识之外的原材料标识所属的原材料的商家的原材料的评论信息、商家的原材料的销量信息、用户在商家购买原材料的次数、用户的消费能力信息、商家的发货位置与用户的收货位置的距离。
对于除了获取到的原材料标识之外的一个原材料标识所属的原材料,多个商家提供该原材料。对于每一个除了获取到的原材料标识之外的原材料标识所属的原材料,购物平台上有多个商家提供除了获取到的原材料标识之外的原材料标识所属的原材料。对于一个除了获取到的原材料标识之外的原材料标识所属的原材料,对于每一个提供该原材料的商家,可以分别计算出一个总得分,按照总得分对所有提供该原材料的商家进行排序,得分越高,次序越小,可以将排序后次序小于次序阈值的商家的该原材料的订购页面的链接作为原材料推荐信息中的该原材料的订购页面的链接推送给用户。得分可以为参考信息中的每一项的得分之和。评论信息中的好评信息越多,评论信息对应的得分越高。销量越多,销量对应的得分越高。用户在商家购买的原材料的次数越多,用户在商家购买原材料的次数越多,得分越高。商家提供的原材料的价格与用户的消费能力信息越匹配,用户的消费能力信息对应的得分越高。商家的发货位置与用户的收货位置的距离越近,商家的发货位置与用户的收货位置的距离对应的得分越高。
在本实施例的一些可选的实现方式中,可以基于用户的原材料购买记录,确定用户购买过的原材料的价格所处的价格区间,根据用户购买过的原材料的价格所处的价格区间,生成用户的消费能力信息。
在本实施例的一些可选的实现方式中,可以生成确定与建议用户购买的原材料相关联的原材料推荐信息时所基于的参考信息对应的推荐理由信息,将参考信息对应的推荐理由信息推送给用户。推荐理由信息与 确定推送给用户的推荐菜谱信息时基于的参考信息相关联。例如,当将评论信息中的好评信息的数量较多和发货位置距离用户的收货位置较近的商家提供的推荐菜谱信息中的除了获取到的原材料标识之外的原材料标识所属的原材料的订购页面的链接推送给用户时,当从所有候选菜谱信息中选取出风味信息与用户的口味偏好信息匹配并且根据好评指示信息的数量排序后次序靠前的候选菜谱信息作为推荐菜谱信息时,参考信息对应的推荐理由信息可以为诸如“距离您较近并且得到很多好评的商家”。
步骤203,将确定出的推荐菜谱信息和原材料推荐信息推送给用户。
在本实施例中,在确定推送给用户的推荐菜谱信息和原材料推荐信息之后,可以将推送给用户的推荐菜谱信息和原材料推荐信息推送给用户。可以在用户的终端上在每一个推荐菜谱信息各自对应的呈现区域中呈现推荐菜谱信息。
在本实施例的一些可选的实现方式中,在将确定出的推荐菜谱信息和原材料推荐信息推送给用户之后,可以在用户的用户标识对应的购物车页面中向用户呈现确定出的推荐菜谱信息和原材料推荐信息中的至少部分信息。当原材料推荐信息中包含除了获取到的原材料标识之外的原材料标识和除了获取到的原材料标识之外的原材料标识所属的原材料的订购页面的链接时,可以至少向用户呈现除了获取到的原材料标识之外的原材料标识。
在本实施例的一些可选的实现方式中,当用户从所有推荐菜谱信息中选取出用于烹饪的推荐菜谱信息,可以响应于用户从所有推荐菜谱信息中选取出用于烹饪的推荐菜谱信息,生成用户选取出的用于烹饪的推荐菜谱信息中的除了获取到的原材料标识之外的原材料标识对应的待结算信息项。在生成选取出的用于烹饪的推荐菜谱信息中的除了获取到的原材料标识之外的原材料标识对应的待结算信息项之前,待结算信息区域中可以包含用户选取的用于烹饪的推荐菜谱信息中的用户已经选购的原材料的原材料标识对应的待结算信息项,用户选取的用于烹饪的推荐菜谱信息中的用户已经选购的原材料的原材料标识对应的待结算信息项包括:待结算的用户已经选购的用户选取的用于烹饪的推荐菜谱信息中 的原材料标识所属的原材料的订购页面的链接、订购页面中的用户已经选购的用户选取的用于烹饪的推荐菜谱信息中的原材料标识所属的原材料的商品名称、用户已经选购的用户选取的用于烹饪的推荐菜谱信息中的原材料标识所属的原材料的购买量信息。
用户选取出的一个用于烹饪的推荐菜谱信息中的除了获取到的原材料标识之外的每一个原材料标识分别对应一个待结算信息项。用户选取出的一个选取出的用于烹饪的推荐菜谱信息中的除了获取到的原材料标识之外的一个原材料标识对应的待结算信息项包括:该原材料标识所属的原材料的订购页面的链接、订购页面中的该原材料标识所属的原材料的商品名称、该原材料标识所属的原材料的购买量信息。可以将用户选取出的一个用于烹饪的推荐菜谱信息中的除了获取到的原材料标识之外的每一个原材料标识对应的待结算信息项在用户的用户标识对应的购物车页面中的待结算信息区域中呈现给用户。换言之,相当于自动生成用于结算的用户选取出的一个用于烹饪的推荐菜谱信息中的除了获取到的原材料标识之外的每一个原材料标识对应的待结算信息项,加入到用户的用户标识对应的购物车页面中的待结算信息区域中呈现给用户。
对于一个选取出用于烹饪的推荐菜谱信息中的除了获取到的原材料标识之外的一个原材料标识所属的原材料,该原材料标识对应的待结算信息项中的该原材料标识所属的原材料的订购页面的链接可以为多个,分别属于不同的商家。相应的,订购页面中的该原材料标识所属的原材料的商品名称也可以为多个。用户可以点击订购页面的链接,进一步跳转到该订购页面。当跳转到一个订购页面,用户确认从该订购页面所属的商家购买该原材料时,用户可以在该订购页面点击指示加入购物车的按钮,此时,可以删除该原材料标识对应的待结算信息项中的其他的该原材料的订购页面的链接和该原材料标识所属的原材料在其他的该原材料的订购页面中的商品名称,从而,该原材料标识对应的待结算信息项中最终包含的内容为用户确定的商家的该原材料的订购页面的链接、该订购页面中的该原材料的商品名称,购买量可以默认为预设数量,该原材料标识对应的待结算信息项可以用于最终的结算。当用户点击购物车页面中的表示结算的按钮后,可以跳转到结算页面,向用户呈现结算页面。
在本实施例的一些可选的实现方式中,用户可以在购物车页面中对呈现给用户的对原材料推荐信息中的推荐菜谱信息中的除了获取到的原材料标识之外的原材料标识进行点击操作、光标悬停操作等预设操作。当进行预设操作时,可以响应于用户对原材料推荐信息中的推荐菜谱信息中的除了获取到的原材料标识之外的原材料标识进行预设操作,向用户呈现用户点击或光标悬停的原材料标识所属的原材料的订购页面的链接。从而,使得用户可以点击原材料推荐信息中的推荐菜谱信息中的除了获取到的原材料标识之外的原材料标识所属的原材料的订购页面的链接,进一步方便用户购买原材料推荐信息中的推荐菜谱信息中的除了获取到的原材料标识之外的原材料标识所属的原材料。
在本实施例的一些可选的实现方式中,用户的用户标识对应的购物车页面中的待结算信息区域包括:获取到的原材料标识对应的待结算信息项、除了获取到的原材料标识之外的原材料标识对应的待结算信息项。用户可以在终端输入用餐人数信息,可以基于用户输入的用餐人数信息,确定每一个待结算信息项中的原材料标识所属的原材料的购买量信息。可以预先存储的多个菜谱信息中包含原材料的预设的购买量和预设的用餐人数。预设的用餐人数为以预设的购买量烹饪出菜谱信息对应的菜适合于的用餐人数。当确定每一个待结算信息项中的原材料标识所属的原材料的购买量信息时,可以分别确定属于同一个推荐菜谱信息的待结算信息项中的原材料标识所属的原材料的购买量信息。在确定属于一个推荐菜谱信息的每一个原材料标识对应的待结算信息项中的原材料标识所属的原材料的购买量信息时,可以计算用户输入的用餐人数信息指示的用餐人数与该推荐菜谱信息对应的预设的用餐人数的比例,根据计算出的比例,确定属于该推荐菜谱信息的每一个原材料标识对应的待结算信息项中的原材料标识所属的原材料的购买量信息,将属于该推荐菜谱信息的每一个待结算信息项中的原材料的购买量信息设置为确定出的购买量信息。
例如,推送给用户的推荐菜谱信息包括推荐菜谱信息1、推荐菜谱信息2,用户的用户标识对应的购物车页面中的待结算信息区域中包含推荐菜谱信息1中的每一个原材料标识对应的待结算信息项、推荐菜谱信息2中的每一个原材料标识对应的待结算信息项。可以分别确定推荐 菜谱信息1中的每一个原材料标识对应的待结算信息项中的购买量和推荐菜谱信息2中的每一个原材料标识对应的待结算信息项中的购买量。对于推荐菜谱信息1,可以计算用户输入的用餐人数信息指示的用餐人数与推荐菜谱信息1对应的预设的用餐人数的比例,根据计算出的比例,确定属于推荐菜谱信息1的每一个原材料标识对应的待结算信息项中的原材料标识所属的原材料的购买量信息,将属于推荐菜谱信息1的每一个原材料标识对应的待结算信息项中的原材料的购买量信息设置为确定出的购买量信息。对于推荐菜谱信息2,可以计算用户输入的用餐人数信息指示的用餐人数与推荐菜谱信息2对应的预设的用餐人数的比例,根据计算出的比例,确定属于推荐菜谱信息2的每一个原材料标识对应的待结算信息项中的原材料标识所属的原材料的购买量信息,将属于推荐菜谱信息2的每一个原材料标识对应的待结算信息项中的原材料的购买量信息设置为确定出的购买量信息。
在本实施例的一些可选的实现方式中,用户可以对原材料推荐信息中的用户选取的原材料标识即对用户选取的原材料推荐信息中的推荐菜谱信息中的除了获取到的原材料标识之外的原材料标识进行删除操作。当用户对原材料推荐信息中的用户选取的原材料标识进行删除操作删除用户选取的原材料标识时,可以将被删除的原材料标识确定为用户不喜欢的原材料标识,可以对已呈现给用户的包括被删除的原材料标识的推荐菜谱信息进行隐藏。
在本实施例的一些可选的实现方式中,用户可以对原材料推荐信息中的用户选取的原材料标识进行搜索指示操作,可以响应于用户对原材料推荐信息中的用户选取的原材料标识进行搜索指示操作,获取购物平台中的对应于原材料推荐信息中的用户选取的原材料标识的搜索结果,将获取到的搜索结果呈现给用户。例如,可以点击指示利用原材料推荐信息中的原材料标识进行搜索的按钮,获取购物平台中的对应于原材料标识的搜索结果,将获取到的搜索结果呈现给用户。
在本实施例的一些可选的实现方式中,用户可以从所有推荐菜谱信息中选取出用于烹饪的推荐菜谱信息。可以基于用户选取出的用于烹饪的推荐菜谱信息和指示需要摄入的营养成分的购买量的营养配置信息,确定缺少的营养成分和购买量不足的营养成分。可以根据缺少的营养成 分和购买量不足的营养成分,确定与缺少的营养成分和购买量不足的营养成分相关联的原材料或成品菜。可以将确定出的原材料或成品菜的订购页面的链接推送给用户。
请参考图3,其示出了向用户推送推荐菜谱信息和原材料推荐信息的一个流程示意图。
用户已经选购鸡肉、牛肉、生菜、黄瓜、莴笋等原材料,购物车页面中包含鸡肉、牛肉、生菜、黄瓜、莴笋等原材料的原材料标识,服务器可以获取到购物车页面中的鸡肉、牛肉、生菜、黄瓜、莴笋等原材料的原材料标识,确定出N个推荐菜谱信息和原材料推荐信息。原材料推荐信息包括除了获取到的原材料标识之外的原材料标识、除了获取到的原材料标识之外的原材料标识的订购页面的链接。服务器将确定出的推荐菜谱信息和原材料推荐信息发送至终端,在购物车页面中向用户呈现推荐菜谱信息和原材料推荐信息中的至少部分信息。
本申请还提供了一种服务器,该服务器可以配置有一个或多个处理器;存储器,用于存储一个或多个程序,一个或多个程序中可以包含用以执行上述实施例中描述的操作的指令。当一个或多个程序被一个或多个处理器执行时,使得一个或多个处理器执行上述实施例中描述的操作。
本申请还提供了一种计算机可读介质,该计算机可读介质可以是服务器上所包括的;也可以是单独存在,未装配入服务器上。该计算机可读介质承载有一个或者多个程序,当一个或者多个程序被该服务器执行时,使得该服务器:获取购物平台中用户的用户标识对应的购物车页面中的原材料标识,以及基于获取到的原材料标识,确定推送给用户的推荐菜谱信息,其中,每一个推荐菜谱信息基于获取到的原材料标识中的至少部分原材料标识而确定;确定与建议用户购买的原材料相关联的原材料推荐信息,原材料推荐信息包括:推荐菜谱信息中的除了获取到的原材料标识之外的原材料标识;将确定出的推荐菜谱信息和原材料推荐信息推送给用户。
需要说明的是,本申请所述的计算机可读介质可以是计算机可读信号介质或者计算机可读存储介质或者是上述两者的任意组合。计算机可读存储介质例如可以是但不限于电、磁、光、电磁、红外线、或半导体 的系统、装置或器件,或者任意以上的组合。计算机可读存储介质的更具体的例子可以包括但不限于:具有一个或多个导线的电连接、便携式计算机磁盘、硬盘、随机访问存储器(RAM)、只读存储器(ROM)、可擦式可编程只读存储器(EPROM或闪存)、光纤、便携式紧凑磁盘只读存储器(CD-ROM)、光存储器件、磁存储器件、或者上述的任意合适的组合。在本申请中,计算机可读存储介质可以是任何包含或存储程序的有形介质,该程序可以被指令执行系统、装置或者器件使用或者与其结合使用。而在本申请中,计算机可读的信号介质可以包括在基带中或者作为载波一部分传播的数据信号,其中承载了计算机可读的程序代码。这种传播的数据信号可以采用多种形式,包括但不限于电磁信号、光信号或上述的任意合适的组合。计算机可读的信号介质还可以是计算机可读存储介质以外的任何计算机可读介质,该计算机可读介质可以发送、传播或者传输用于由指令执行系统、装置或者器件使用或者与其结合使用的程序。计算机可读介质上包含的程序代码可以用任何适当的介质传输,包括但不限于:无线、电线、光缆、RF等等,或者上述的任意合适的组合。
以上描述仅为本申请的较佳实施例以及对所运用技术原理的说明。本领域技术人员应当理解,本申请中所涉及的发明范围,并不限于上述技术特征的特定组合而成的技术方案,同时也应涵盖在不脱离本申请的构思的情况下,由上述技术特征或其等同特征进行任意组合而形成的其它技术方案。例如上述特征与本申请中公开的(但不限于)具有类似功能的技术特征进行互相替换而形成的技术。

Claims (20)

  1. 一种信息推送方法,所述方法包括:
    获取购物平台中用户的用户标识对应的购物车页面中的原材料标识,以及基于获取到的原材料标识,确定推送给用户的推荐菜谱信息,其中,每一个推荐菜谱信息基于获取到的原材料标识中的至少部分原材料标识而确定;
    确定与建议用户购买的原材料相关联的原材料推荐信息,原材料推荐信息包括:推荐菜谱信息中的除了获取到的原材料标识之外的原材料标识;
    将确定出的推荐菜谱信息和原材料推荐信息推送给用户。
  2. 根据权利要求1所述的方法,基于获取到的原材料标识,确定推送给用户的推荐菜谱信息包括:
    从预设数据库中查找出候选菜谱信息,预设数据库包括:包括原材料标识的菜谱信息、菜谱信息对应的关联信息,菜谱信息对应的关联信息包括:风味信息、评价信息,候选菜谱信息包括:获取到的原材料标识中的至少一个原材料标识;
    获取用户的口味偏好信息,以及从所有候选菜谱信息中查找出满足预设推荐条件的候选菜谱信息,预设推荐条件包括:对应的关联信息中的风味信息与用户的口味偏好信息匹配;
    基于候选菜谱信息对应的关联信息中的评价信息,对满足预设推荐条件的候选菜谱信息进行排序;
    将排序后的满足预设推荐条件的候选菜谱信息中的次序小于次序阈值的候选菜谱信息作为推荐菜谱信息。
  3. 根据权利要求2所述的方法,所述方法还包括:
    基于与用户的预设操作相关联的历史推荐菜谱信息对应的关联信息中的风味信息,生成用户的口味偏好信息,预设操作包括:浏览操作、评论操作、好评指示操作、用于选取菜谱信息作为用于烹饪的菜谱信息 的选取操作。
  4. 根据权利要求3所述的方法,所述预设推荐条件还包括:包括的除了获取到的原材料标识之外的原材料标识中的至少部分原材料标识为用户的原材料偏好信息中的用户喜欢的原材料标识。
  5. 根据权利要求4所述的方法,所述方法还包括:
    基于用户的原材料购买记录,确定用户喜欢的原材料标识。
  6. 根据权利要求5所述的方法,所述预设推荐条件还包括:未包括用户的原材料偏好信息中的用户不喜欢的原材料标识。
  7. 根据权利要求6所述的方法,基于用户未浏览过的历史推荐菜谱信息与所述与用户的预设操作相关联的历史推荐菜谱信息中的不同的原材料标识,确定用户不喜欢的原材料标识。
  8. 根据权利要求1-7之一所述的方法,原材料推荐信息还包括:推荐菜谱信息中的除了获取到的原材料标识之外的原材料标识所属的原材料的订购页面的链接。
  9. 根据权利要求8所述的方法,在将确定出的推荐菜谱信息和原材料推荐信息推送给用户之后,所述方法还包括:
    在用户的用户标识对应的购物车页面中向用户呈现确定出的推荐菜谱信息和原材料推荐信息中的至少部分信息。
  10. 根据权利要求9所述的方法,所述方法还包括:
    响应于用户对原材料推荐信息中的原材料标识进行预设操作,向用户呈现所述原材料标识所属的原材料的订购页面的链接,预设操作包括以下之一:点击操作、光标悬停操作。
  11. 根据权利要求10所述的方法,所述方法还包括:
    响应于用户从所有推荐菜谱信息中选取出用于烹饪的推荐菜谱信息,生成选取出的用于烹饪的推荐菜谱信息中的除了获取到的原材料标识之外的原材料标识对应的待结算信息项,所述待结算信息项包括:所述除了获取到的原材料标识之外的原材料标识所属的原材料的订购页面的链接、所述订购页面中的所述除了获取到的原材料标识之外的原材料标识所属的原材料的商品名称、所述除了获取到的原材料标识之外的原材料标识所属的原材料的购买量信息;
    将所述待结算信息项在用户的用户标识对应的购物车页面中的待结算信息区域中呈现给用户。
  12. 根据权利要求11所述的方法,所述方法还包括:
    基于用户输入的用餐人数信息,确定用户的用户标识对应的购物车页面中的待结算信息区域中的每一个待结算信息项中的原材料标识所属的原材料的购买量信息。
  13. 根据权利要求12所述的方法,所述方法还包括:
    响应于用户对原材料推荐信息中的原材料标识进行删除操作,将被删除的原材料标识确定为用户不喜欢的原材料标识,以及对已呈现给用户的包括被删除的原材料标识的推荐菜谱信息进行隐藏。
  14. 根据权利要求13所述的方法,所述方法还包括:
    响应于用户对原材料推荐信息中的原材料标识进行搜索指示操作,获取购物平台中的对应于所述原材料标识的搜索结果;
    将获取到的搜索结果呈现给用户。
  15. 根据权利要求14所述的方法,确定与建议用户购买的原材料相关联的原材料推荐信息包括:
    基于参考信息,确定推荐菜谱信息中的除了获取到的原材料标识之外的原材料标识所属的原材料的订购页面的链接,参考信息包括以下至少一项:提供除了获取到的原材料标识之外的原材料标识所属的原材料的商家的所述原材料的评论信息、所述商家的所述原材料的销量信息、 用户在所述商家购买原材料的次数、用户的消费能力信息、所述商家的发货位置在与用户的收货位置的距离。
  16. 根据权利要求15所述的方法,所述方法还包括:
    生成参考信息对应的推荐理由信息;
    将参考信息对应的推荐理由信息推送给用户。
  17. 根据权利要求16所述的方法,所述方法还包括:
    基于用户的原材料购买记录,生成用户的消费能力信息。
  18. 根据权利要求17所述的方法,所述方法还包括:
    基于用户选取出的用于烹饪的推荐菜谱信息和指示需要摄入的营养成分的购买量的营养配置信息,确定缺少的营养成分和购买量不足的营养成分;
    确定与缺少的营养成分和购买量不足的营养成分相关联的原材料或成品菜;
    将确定出的原材料或成品菜的订购页面的链接推送给用户。
  19. 一种服务器,包括:
    一个或多个处理器;
    存储器,用于存储一个或多个程序,
    当所述一个或多个程序被所述一个或多个处理器执行时,使得所述一个或多个处理器实现如权利要求1-18中任一所述的方法。
  20. 一种计算机可读介质,其上存储有计算机程序,该程序被处理器执行时实现如权利要求1-18中任一所述的方法。
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