WO2019042017A1 - 信息推荐装置、方法和计算机可读存储介质 - Google Patents

信息推荐装置、方法和计算机可读存储介质 Download PDF

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Publication number
WO2019042017A1
WO2019042017A1 PCT/CN2018/094994 CN2018094994W WO2019042017A1 WO 2019042017 A1 WO2019042017 A1 WO 2019042017A1 CN 2018094994 W CN2018094994 W CN 2018094994W WO 2019042017 A1 WO2019042017 A1 WO 2019042017A1
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WO
WIPO (PCT)
Prior art keywords
information
contact
user
recommended
shopping
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/CN2018/094994
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English (en)
French (fr)
Inventor
马宝岩
罗珊珊
王孝满
陈嘉文
徐勉俊
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Jingdong Century Trading Co Ltd
Beijing Jingdong Shangke Information Technology Co Ltd
Original Assignee
Beijing Jingdong Century Trading Co Ltd
Beijing Jingdong Shangke Information Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing Jingdong Century Trading Co Ltd, Beijing Jingdong Shangke Information Technology Co Ltd filed Critical Beijing Jingdong Century Trading Co Ltd
Priority to US16/644,013 priority Critical patent/US20200410567A1/en
Publication of WO2019042017A1 publication Critical patent/WO2019042017A1/zh
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0631—Recommending goods or services
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9535—Search customisation based on user profiles and personalisation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9538—Presentation of query results
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/2866—Architectures; Arrangements
    • H04L67/30—Profiles
    • H04L67/306—User profiles
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/53—Network services using third party service providers
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/55—Push-based network services

Definitions

  • the present disclosure relates to the field of computer technologies, and in particular, to an information recommendation apparatus, method, and computer readable storage medium.
  • online shopping has become one of the main consumption methods for consumers. Users can obtain product information through multiple points such as event portal, store entrance, product list, and product details. However, how consumers choose target products among a wide variety of products has become a problem.
  • the related art describes the characteristics of the product by displaying a product list and product details. Users need to obtain product information through search or activity portal.
  • an algorithm for recommending a product for the user based on the user's historical purchase information for example, inferring the user's preference based on the user's own purchase information, or classifying the user, and recommending the product to match the user's preference or category.
  • the inventors have found that although the prior art shows the user a description of the various angles of the product, the user still needs to obtain his own target product through continuous comparison.
  • the existing recommendation methods are also based on the information of the e-commerce platform itself.
  • the information on the network is very complicated, so the existing recommendation method has a lower probability of hitting the user's demand, and thus the recommendation efficiency is low.
  • embodiments of the present disclosure provide an information recommendation scheme capable of improving recommendation efficiency.
  • an information recommendation apparatus comprising: a receiver configured to receive a communication identifier of a contact of a recommended user; and a processor configured to acquire a communication identifier of the contact Corresponding user identifier, and obtaining shopping information of the contact according to the user identifier; the sender is configured to recommend the shopping information of the contact to the recommended user.
  • the receiver is further configured to receive a communication identification of the contact that the terminal obtained from the communication application.
  • the transmitter is further configured to recommend to the recommended user that at least one of the following information: the purchased item information of the contact's shopping information is higher than the preset level; or the contact's public shopping information.
  • the shopping information includes one or more of purchase item information, rating level information, favorite information, and browsing information.
  • the processor is further configured to set whether the user's shopping information is publicly available based on the user's request.
  • the processor is further configured to obtain the shopping information of the recommended user; the sender is further configured to recommend the recommended user's shopping information to the contact.
  • an information recommendation apparatus comprising: a processor configured to acquire a communication identifier of a contact of a recommended user; a transmitter configured to transmit a communication identifier; a receiver And configured to receive the shopping information of the contact, wherein the shopping information of the contact is obtained by the user identifier corresponding to the communication identifier; and the output interface is configured to recommend the shopping information of the contact to the recommended user.
  • the output interface is further configured to recommend the contact information of the contact and the communication identification of the contact to the recommended user; the processor is further configured to, in response to the operation of the recommended user initiating communication to the contact, The communication identity of the contact is sent to the communication application so that the recommended user can contact the contact through the communication application.
  • the output interface is further configured to display the contact's shopping information and other recommended information in a different manner.
  • a method for information recommendation includes: receiving a communication identifier of a contact of a recommended user; acquiring a user identifier corresponding to a communication identifier of the contact; and acquiring a contact of the contact according to the user identifier Shopping information; recommend the contact's shopping information to the recommended user.
  • the communication identifier of the contact obtained by the terminal from the communication application is received.
  • At least one of the following information is recommended to the recommended user: the purchased item information of the contact's shopping information that is higher than the preset level; or the contact's public shopping information.
  • the information recommendation method further includes: setting whether the user's shopping information is publicly disclosed according to the user's request.
  • the information recommendation method further includes: obtaining the shopping information of the recommended user; and recommending the shopping information of the recommended user to the contact.
  • a method for information recommendation includes: obtaining a communication identifier of a contact of a recommended user; transmitting a communication identifier; receiving shopping information of the contact, wherein the contact information of the contact It is obtained by the user identifier corresponding to the communication identifier; the shopping information of the contact is recommended to the recommended user.
  • the contact information of the contact and the communication identifier of the contact are recommended to the recommended user; the information recommendation method further includes: transmitting the communication identifier of the contact in response to the operation of the recommended user to initiate communication to the contact The communication application is applied so that the recommended user contacts through the communication application contact.
  • the information recommendation device recommending the contact information of the contact to the recommended user comprises: displaying the shopping information of the contact to the user, wherein the shopping information of the contact and other recommended information are displayed in different manners.
  • an information recommendation apparatus comprising: a memory; and a processor coupled to the memory, the processor being configured to perform any of the foregoing based on an instruction stored in the memory Information recommendation method.
  • a computer readable storage medium having stored thereon a computer program, wherein the program is executed by a processor to implement any of the foregoing information recommendation methods.
  • the information recommendation apparatus may recommend shopping information for the recommended user according to the shopping situation of the contact of the recommended user, so that the recommended content has a comparison.
  • High credibility which can improve user click-through rate and order conversion rate, and improve recommendation efficiency.
  • FIG. 1A is a block diagram of an information recommendation system in accordance with some embodiments of the present disclosure.
  • FIG. 1B is a block diagram of a terminal in accordance with some embodiments of the present disclosure.
  • FIG. 2 is a block diagram of an information recommendation platform in accordance with some embodiments of the present disclosure.
  • FIG. 3 is a block diagram of an information recommendation application module in accordance with some embodiments of the present disclosure.
  • FIGS 4A-4D are flow diagrams of an information recommendation method in accordance with some embodiments of the present disclosure.
  • FIG. 5 is a flowchart of an information recommendation method according to some embodiments of the present disclosure.
  • FIG. 6 is a flowchart of an information recommendation method according to some embodiments of the present disclosure.
  • FIG. 7 is a flowchart of an information recommendation method according to some embodiments of the present disclosure.
  • FIG. 8 is a structural diagram of an information recommendation apparatus according to some embodiments of the present disclosure.
  • FIG. 9 is a structural diagram of an information recommendation apparatus according to further embodiments of the present disclosure.
  • the information that users can obtain on e-commerce websites is often information from strangers. Therefore, the inventor has thought that a user can be introduced in a communication application having social and communication properties, and the shopping information of these contacts is recommended to the user as a reference, so that the trust between the contacts can be drained. .
  • FIG. 1A is an exemplary structural diagram of an information recommendation system in accordance with some embodiments of the present disclosure.
  • the information recommendation system 10 of this embodiment includes two types of information recommendation devices, namely an information recommendation platform 20 and an information recommendation application module 30.
  • the information recommendation platform 20 can be located in a background system of the e-commerce website and can perform data interaction with the information recommendation application module 30.
  • the information recommendation application module 30 may be an e-commerce application or a sub-module of an e-commerce application.
  • the information recommendation application module 30 may be located in the terminal 10, as shown in FIG. 1B, the terminal 10 may be a mobile terminal, a tablet computer, a smart wearable device, or the like; in addition, the information recommendation application module 30 may also be It is located in other devices that can interact with users, such as personal computers, etc., and will not be described here.
  • the information recommendation platform 20 of this embodiment includes a receiver 201, a processor 202, and a transmitter 203.
  • the receiver 201 and the transmitter 203 may be mutually independent devices or may be presented in the form of a transceiver.
  • the receiver 201 is configured to receive a communication identification of a contact of the recommended user.
  • the receiver 201 can receive the communication identification of the contact of the recommended user sent by the terminal.
  • the terminal may obtain the communication identifier from the communication application of the terminal, and the communication application may be a call application such as a telephone, or may be a live chat software or the like.
  • the receiver 201 can also receive communication identifiers from the cloud or other servers, such as from a user's cloud address book or a back-end system of other application websites.
  • the contact of the recommended user may be the friend of the recommended user, or may be a person who has exchanged contact information with the recommended user or a person who has retained the contact information by the recommended user.
  • the contacts are either familiar with the recommended users or have similar characteristics to the recommended users, such as common hobbies, similar living areas, common friends, etc., and thus are more credible than unfamiliar users in the network.
  • the communication identifier is an identifier that can be contacted with a contact in a particular application or platform, such as a phone number, a social network account number, an email address, a personal homepage link, and the like.
  • the processor 202 is configured to acquire a user identifier corresponding to the communication identifier of the contact, and obtain the shopping information of the contact according to the user identifier.
  • the processor 202 can, for example, look up information from a database.
  • the database can store the user ID of the e-commerce platform user, as well as the user's shopping information.
  • the database can also store basic information of the user, such as application account, phone number, mailbox and other communication identifiers.
  • the e-commerce platform may store a correspondence between the user identification, the shopping information, and the communication identification. Since both the user identification and the communication identification are unique, the processor 202 can find the shopping information of the contact according to the correspondence.
  • the shopping information may include purchase item information, rating level information, favorite information, browsing information, and the like.
  • the processor 202 can acquire one or several of the shopping information each time as needed.
  • the sender 203 is configured to recommend the contact's shopping information to the recommended user.
  • the sender 203 can be further configured to transmit the contact's shopping information to the recommended user's terminal to enable the recommended user to obtain the recommended shopping information through the terminal.
  • the information recommendation apparatus provided by the present disclosure can recommend the shopping information to the recommended user according to the shopping situation of the contact of the recommended user, so that the recommended content has high credibility and can improve the user's click rate. And order conversion rate, which increases recommendation efficiency.
  • the various components in the information recommendation platform provided by the present disclosure may also have further configurations to implement other functions.
  • the contact's higher ranked shopping information may be recommended to the user.
  • the processor 202 may be further configured to acquire the purchase item information of the contact and the corresponding evaluation level information according to the acquired user identifier, and determine the purchased item information in which the evaluation level is higher than the preset level; the transmitter 203 may be further It is configured to recommend the purchased item information whose contact rating is higher than the preset level to the recommended user.
  • the evaluation level is divided into high praise, middle evaluation and bad evaluation, and the default level is middle evaluation.
  • Contact A purchases the X mobile phone and gives the X mobile phone a good review
  • the processor 202 simultaneously acquires the two information, and causes the transmitter 203 to evaluate the X mobile phone information, or the X mobile phone information and the contact A to the X mobile phone.
  • the content is sent to the terminal for display; if the contact B purchases the Y mobile phone and makes a bad review, the processor 202 does not recommend the Y mobile phone. Therefore, the recommended user can obtain the item whose contact evaluation is higher than the preset level, and further increases the chance of placing the recommended item.
  • the recommended user may also share their shopping information.
  • the sender 203 may be further configured to recommend the shopping information of the recommended user to the contact, the shopping information of the recommended user being acquired by the processor 202. Therefore, after the recommended user sends the communication identifier of the contact to the information recommendation platform, the recommended user and the contact establish a mutual recommender relationship.
  • the information recommendation platform can recommend the shopping information of any one of the relationships to the other party, thereby realizing information sharing.
  • the user may make public permission settings for their own shopping information. If the user's permission to set a certain shopping information is public, the sender 203 may recommend the shopping information to other users; otherwise, the sender 203 does not recommend the shopping information. For example, the user can send a request indicating whether a certain shopping information is public. At this time, the processor 202 may be further configured to set whether the user's shopping information is disclosed according to the user's request. Once the user has made the settings, they can resend the request to change the setting.
  • the processor 202 may obtain the contact information of the contact and the information of whether the shopping information is publicized according to the found user identifier; then, the sender 203 may recommend the public shopping information of the contact to the recommended user. Do not send undisclosed shopping information for this contact. Thereby, the privacy of the user can be protected and the user experience is improved.
  • FIG. 3 is an exemplary structural diagram of an information recommendation application module in accordance with some embodiments of the present disclosure.
  • the information recommendation application module 30 of this embodiment includes a processor 301, a transmitter 302, a receiver 303, and an output interface 304. These components may be implemented in hardware or software, and these components may be proprietary to the information recommendation application module 30 or shared with other devices in the device in which the information recommendation application module 30 is located.
  • the processor 301 can obtain, for example, a communication identifier of a contact of the recommended user from the communication application.
  • the processor 301 can be a jump interface between different applications.
  • the communication application can be located at the terminal.
  • the communication application can be a call application, such as a telephone dialing application or an address book application.
  • the communication identifier can be, for example, a phone number, a stored email address, an application account, etc., and the communication application can also be an email application.
  • the communication identifier can be, for example, an e-mail address; the communication application can also be a social network application, and the communication identifier can be, for example, an application account or the like, so that the social network attribute of the e-commerce platform can be compensated by the mature social system in the social network application. Insufficient.
  • the contact recommendation may be performed by the operation instruction application, or the information recommendation application module 30 may also start the recommendation function periodically.
  • the information recommendation application module 30 can, for example, call the processor 301 and send an instruction to read the contact.
  • the communication application may pre-set the read permission of the information recommendation application module 30.
  • the information recommendation application module 30 can read the communication identifier of the contact therein.
  • the information recommendation application module 30 may read the communication identification of some or all of the contacts in the communication application according to the user's selection, or may perform the group-based acquisition according to the grouping of the contacts.
  • the processor 301 can also obtain the communication identifier from the cloud system or the communication application server, and details are not described herein again.
  • Transmitter 302 is configured to transmit the communication identification to information recommendation platform 20. Therefore, the information recommendation platform 20 can search for the user identifier corresponding to the communication identifier, and obtain the shopping information of the contact according to the found user identifier, and return the found content to the information recommendation application module 30.
  • the receiver 303 is configured to receive shopping information of a contact sent by the information recommendation platform.
  • the receiver 303 can receive one or more shopping information sent by the information recommendation platform.
  • the receiver 303 can also receive information other than the shopping information sent by the information recommendation platform 20, for example, receiving the shopping information, receiving the communication identifier of the contact, the contact, etc., so as to be The recommended user can know that the shopping information is recommended based on which user's shopping situation.
  • the output interface 304 is configured to recommend the contact's shopping information to the recommended user.
  • the output interface 304 can be, for example, an interface of the display device or an interface of the playback device such that the shopping information can be delivered to the user via a screen or sound.
  • the terminal 30 may display the product information through the application page on the screen, for example, or display the product summary through a notification message, or may display the contact's comments and the like on the item details page of the product.
  • the output interface 304 may also output other part or all of the information received by the receiver 303, or may output other information than the information received by the receiver 303, such as the name of the contact, etc., as needed.
  • the information recommendation apparatus provided by the present disclosure can recommend the shopping information to the recommended user according to the shopping situation of the contact of the recommended user, so that the recommended content has high credibility and can improve the user's click rate. And order conversion rate, which increases recommendation efficiency.
  • the various components in the information recommendation apparatus provided by the present disclosure may also have further configurations to implement other functions.
  • the recommended user can conveniently contact the contact corresponding to the recommended shopping information after receiving the recommended content.
  • the output interface 304 can be further configured to recommend the shopping information and the communication identification of the corresponding contact to the recommended user. For example, when the output interface 304 displays the contact's shopping information, the contact name associated with the contact, the identity of the contact on the e-commerce platform, or the communication identifier of the contact, etc., may be displayed at the same time. Thus, the recommended user can initiate a contact request for the communicated identity of the displayed contact or contact.
  • the processor 301 may be further configured to open the communication application and transmit the communication identifier of the contact to the communication application in response to the operation of the recommended user initiating communication to the contact, so that the recommended user performs the communication with the contact through the communication application. contact.
  • the information recommendation application module 30 also indicates the recommendation by the contact C while displaying the product Z.
  • the recommended user is suspicious of the comment of the product Z, and if the user C is to be inquired about the use experience, the recommended user can click on the button, text or image identifying the contact C.
  • the jump interface in the processor 301 of the information recommendation application module 30 transmits the telephone number of the contact C to the dialing application and opens the dialing application.
  • the dialing application initiates communication to the telephone number of contact C in response to the above operation. Therefore, when the user receives the recommended product information, the user can conveniently contact the contact related to the product information to further understand the product and improve the user experience.
  • the information recommendation application module 30 may only recommend to the user the item information of the contact that is higher than the preset level.
  • the receiver 303 may be further configured to receive the purchased item information whose rating of the contact purchase sent by the information recommendation platform 20 is higher than a preset level. Therefore, the output interface 304 also only recommends the purchased product information with the evaluation level higher than the preset level to the user, so as to further improve the success rate of the recommendation.
  • the receiver 303 can be further configured to receive public shopping information of contacts sent by the information recommendation platform. Therefore, the recommended user does not see that the contact does not select the public shopping information, which effectively protects the user's privacy.
  • the information recommendation application module 30 may further include an input interface 305 configured to receive a setting made by the user whether the shopping information is disclosed, and send the setting to the information recommendation platform 20, so that the information recommendation platform 20 sets whether the shopping information is public.
  • the information recommendation application module 30 may display the recommendation information acquired according to the contact's shopping information and the recommendation information obtained by other methods.
  • the output interface 304 can be further configured to display the contact's shopping information and other recommended information in different ways. Different display modes may be different display colors, different fonts, different layouts, different display positions or different display marks, and the like. For example, the contact's shopping information can be highlighted, displayed, or the contact's shopping information can be specially marked and displayed, so that the user knows which shopping information is from the contact, thereby facilitating the user to identify and select. .
  • FIG. 4A is an exemplary flow chart of an information recommendation method in accordance with some embodiments of the present disclosure. As shown in FIG. 4A, the information recommendation method of this embodiment includes steps S402 to S410.
  • step S402 the information recommendation platform receives the communication identifier of the contact of the recommended user.
  • the communication identifier of the contact may be sent by the information recommendation application module, or may be obtained from another device or system.
  • step S4022 the information recommendation platform acquires the communication identifier of the contact in the terminal communication application.
  • the communication application can be located at the terminal, and can also be located in the cloud or a server or the like.
  • the communication application can be, for example, a call application, a social networking application, an email application.
  • the communication identifier can be, for example, a phone number, a social network account number, an email address, a personal homepage link, and the like.
  • step S404 the information recommendation platform acquires the user identifier corresponding to the communication identifier of the contact.
  • the information recommendation platform acquires the shopping information of the contact according to the user identifier.
  • the shopping information includes one or more of purchase item information, rating level information, collection information, and browsing information.
  • the information recommendation platform can, for example, look up information from a database.
  • the information recommendation platform recommends the contact's shopping information to the recommended user.
  • the contact information of the contact may be sent to the terminal of the recommended user, for example, by the notification message of the terminal or the e-commerce application of the terminal, so as to facilitate the user to view.
  • the disclosure can recommend the shopping information for the recommended user according to the shopping situation of the contact of the recommended user, so that the recommended content has high credibility, and can improve the user's click rate and order conversion. Rate, improve the efficiency of recommendation.
  • FIG. 4C is an exemplary flowchart of an information recommendation method in accordance with further embodiments of the present disclosure. As shown in FIG. 4C, the information recommendation method of this embodiment includes steps S412 to S414.
  • step S412 the information recommendation platform acquires the rating level information corresponding to the purchased item information of the contact according to the found user identifier, and determines the purchased item information whose evaluation level is higher than the preset level.
  • step S414 the information recommendation platform recommends the purchased product information with the evaluation level higher than the preset level to the recommended user, for example, may be recommended to the recommended user through the information recommendation application module.
  • FIG. 4D is an exemplary flow chart of an information recommendation method in accordance with further embodiments of the present disclosure. As shown in FIG. 4D, the information recommendation method of this embodiment includes steps S422 to S424.
  • step S422 the information recommendation platform acquires the shopping information of the contact and the information of whether the shopping information is publicized according to the found user identifier.
  • step S424 the information recommendation platform recommends the contact's public shopping information to the recommended user.
  • the public recommendation shopping information of the contact sent by the information recommendation platform may be received by the information recommendation application module and recommended to the recommended user.
  • step S421 the information recommendation platform sets whether the user's shopping information is disclosed according to the user's request.
  • the privacy of the user can be protected.
  • users and contacts can also establish relationships with each other as recommenders.
  • An embodiment of the present information recommendation method will be described below with reference to FIG.
  • FIG. 5 is an exemplary flowchart of an information recommendation method according to some embodiments of the present disclosure. As shown in FIG. 5, the information recommendation method of this embodiment includes steps S502 to S510.
  • step S502 the information recommendation application module acquires the communication identifier of the contact of the first user, and the contact includes the second user.
  • step S504 the information recommendation application module sends the communication identifier of the second user to the information recommendation platform.
  • step S506 the information recommendation platform searches for the shopping information of the first user and the second user.
  • step S508 the information recommendation platform recommends the shopping information of the first user to the second user.
  • step S510 the information recommendation platform recommends the shopping information of the second user to the first user.
  • Steps S508 and S510 may be performed simultaneously, or may be performed first in step S508, or may be performed first in step S510.
  • the recommended user ie, the first user in the above embodiment
  • the communication identifier of the contact ie, the second user in the above embodiment
  • the relationship between each other as a recommender.
  • the information recommendation platform can recommend the shopping information of any one of the relationships to the other party, thereby realizing information sharing.
  • FIG. 6 is an exemplary flowchart of an information recommendation method according to some embodiments of the present disclosure. As shown in FIG. 6, the information recommendation method of this embodiment includes steps S602 to S608.
  • step S602 the information recommendation application module acquires the communication identifier of the contact of the recommended user.
  • the information recommendation application module may acquire the communication identifier of the contact of the recommended user from the communication application.
  • step S604 the information recommendation application module sends the communication identifier to the information recommendation platform, so that the information recommendation platform searches for the user identifier corresponding to the communication identifier, and obtains the shopping information of the contact according to the found user identifier.
  • the information recommendation application module receives the shopping information of the contact sent by the information recommendation platform.
  • the information recommendation application module may receive the purchased item information whose contact rating sent by the information recommendation platform is higher than the preset level. Therefore, the information recommendation application module can recommend the purchased product information whose contact rating is higher than the preset level to the recommended user.
  • the information recommendation application module can receive the public shopping information of the contact sent by the information recommendation platform. Therefore, the recommended user cannot view the shopping information that the contact selects not to disclose, and can protect the privacy of the user.
  • the information recommendation application module may further receive a setting made by the user whether the shopping information is publicized, and send the setting to the information recommendation platform, so that the information recommendation platform sets the shopping information to be public.
  • the information recommendation application module recommends the shopping information of the contact to the recommended user.
  • the information recommendation application module can perform recommendation by displaying graphics or playing sounds.
  • the information recommendation application module may display the evaluation content and the evaluation level of the product of the contact in the comment area when the user browses the product, so that the user preferentially obtains the point of view of the contact.
  • the contact's shopping information can be displayed to the user, wherein the contact's shopping information and other recommended information are displayed in different ways.
  • the shopping information based on the contact recommendation can be specially labeled to distinguish it from other information.
  • the disclosure can recommend the shopping information for the recommended user according to the shopping situation of the contact of the recommended user, so that the recommended content has high credibility, and can improve the user's click rate and order conversion. Rate, improve the efficiency of recommendation.
  • FIG. 7 is an exemplary flowchart of an information recommendation method according to some embodiments of the present disclosure. As shown in FIG. 7, the information recommendation method of this embodiment includes steps S702 to S710.
  • step S702 the information recommendation application module acquires the communication identifier of the contact of the recommended user.
  • step S704 the information recommendation application module sends the communication identifier to the information recommendation platform, so that the information recommendation platform searches for the user identifier corresponding to the communication identifier, and acquires the shopping information of the contact according to the found user identifier.
  • step S706 the information recommendation application module receives the shopping information of the contact sent by the information recommendation platform.
  • step S708 the information recommendation application module recommends the contact information of the contact and the communication identifier of the contact to the recommended user.
  • step S710 in response to the operation of the recommended user initiating communication to the contact, the information recommendation application module opens the communication application and transmits the communication identification of the contact to the communication application, so that the recommended user contacts through the communication application contact.
  • the user when the user receives the recommended product information, the user can conveniently contact the contact related to the product information to further understand the product and improve the user experience.
  • FIG. 8 is an exemplary structural diagram of an information recommendation apparatus according to some embodiments of the present disclosure.
  • the information recommendation apparatus 800 of this embodiment includes a memory 810 and a processor 820 coupled to the memory 810, and the processor 820 is configured to perform any of the foregoing implementations based on instructions stored in the memory 810.
  • the information recommendation method in the example is an exemplary structural diagram of an information recommendation apparatus according to some embodiments of the present disclosure.
  • the information recommendation apparatus 800 of this embodiment includes a memory 810 and a processor 820 coupled to the memory 810, and the processor 820 is configured to perform any of the foregoing implementations based on instructions stored in the memory 810.
  • the information recommendation method in the example is an exemplary structural diagram of an information recommendation apparatus according to some embodiments of the present disclosure.
  • the information recommendation apparatus 800 of this embodiment includes a memory 810 and a processor 820 coupled to the memory 810, and the processor 820 is configured to perform any of the foregoing implementations based on instructions stored in the memory 810.
  • the memory 810 may include, for example, a system memory, a fixed non-volatile storage medium, or the like.
  • the system memory stores, for example, an operating system, an application, a boot loader, and other programs.
  • FIG. 9 is an exemplary structural diagram of an information recommendation device according to further embodiments of the present disclosure.
  • the information recommendation apparatus 900 of this embodiment includes a memory 910 and a processor 920, and may further include an input/output interface 930, a network interface 940, a storage interface 950, and the like. These interfaces 930, 940, 950 and between the memory 910 and the processor 920 can be connected, for example, via a bus 960.
  • the input/output interface 930 provides a connection interface for input and output devices such as a display, a mouse, a keyboard, and a touch screen.
  • Network interface 940 provides a connection interface for various networked devices.
  • the storage interface 950 provides a connection interface for an external storage device such as an SD card or a USB flash drive.
  • Embodiments of the present disclosure also provide a computer readable storage medium having stored thereon a computer program, wherein the program is implemented by a processor to implement any of the foregoing information recommendation methods.
  • embodiments of the present disclosure can be provided as a method, system, or computer program product. Accordingly, the present disclosure may take the form of an entirely hardware embodiment, an entirely software embodiment, or a combination of software and hardware aspects. Moreover, the present disclosure may take the form of a computer program product embodied on one or more computer-usable non-transitory storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer usable program code. .
  • the computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing device to operate in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture comprising the instruction device.
  • the apparatus implements the functions specified in one or more blocks of a flow or a flow and/or block diagram of the flowchart.
  • These computer program instructions can also be loaded onto a computer or other programmable data processing device such that a series of operational steps are performed on a computer or other programmable device to produce computer-implemented processing for execution on a computer or other programmable device.
  • the instructions provide steps for implementing the functions specified in one or more of the flow or in a block or blocks of a flow diagram.

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Abstract

本公开涉及一种信息推荐装置、方法和计算机可读存储介质，涉及计算机技术领域。信息推荐装置包括：接收器，被配置为接收被推荐用户的联系人的通信标识；处理器，被配置为获取联系人的通信标识对应的用户标识，以及根据用户标识获取联系人的购物信息；发送器，被配置为将联系人的购物信息推荐给被推荐用户。本公开提供的信息推荐装置可以根据被推荐用户的联系人的购物情况为被推荐用户推荐购物信息，从而能够提高用户的点击率和订单转化率，提高了推荐效率。

Description

信息推荐装置、方法和计算机可读存储介质
相关申请的交叉引用
本申请是以CN申请号为201710786061.9，申请日为2017年9月4日的申请为基础，并主张其优先权，该CN申请的公开内容在此作为整体引入本申请中。
技术领域
本公开涉及计算机技术领域，特别涉及一种信息推荐装置、方法和计算机可读存储介质。
背景技术
目前，网络购物已经成为了消费者的主要消费方式之一。用户可以通过活动入口、店铺入口、商品列表、商品详情等多个角度获得商品的信息。但是，消费者如何在种类繁多的商品中选择目标商品成为了一个问题。
相关技术通过展示商品列表和商品详情等方式对商品的特征进行描述。用户需要通过搜索或者活动入口来获得商品信息。
此外，也存在根据用户的历史购买信息来为该用户推荐商品的算法，例如根据用户自身的购买信息推断用户的喜好、或者对用户进行分类，并为用户推荐与其喜好或类别匹配的商品。
发明内容
发明人发现，现有技术虽然为用户展示了商品的各个角度的描述，然而用户仍然需要通过不断的对比来获取自己的目标商品。
现有的推荐方法也仅仅基于电子商务平台本身的信息进行挖掘。然而，网络上的信息非常繁杂，因而现有的推荐方法命中用户需求的概率较小，因而推荐效率较低。
针对上述问题中的一个或多个，本公开的实施例提供了一种能够提高推荐效率的信息推荐方案。
根据本公开一些实施例的第一个方面，提供一种信息推荐装置，包括：接收器，被配置为接收被推荐用户的联系人的通信标识；处理器，被配置为获取联系人的通信标识对应的用户标识，以及根据用户标识获取联系人的购物信息；发送器，被配置为 将联系人的购物信息推荐给被推荐用户。
在一些实施例中，接收器进一步被配置为接收终端从通信应用中获取的联系人的通信标识。
在一些实施例中，发送器进一步被配置为以下至少一种信息推荐给被推荐用户：联系人的购物信息中评价等级高于预设等级的已购物品信息；或者，联系人的公开的购物信息。
在一些实施例中，购物信息包括购买物品信息、评价等级信息、收藏信息和浏览信息中的一种或多种。
在一些实施例中，处理器进一步被配置为根据用户的请求对用户的购物信息是否公开进行设置。
在一些实施例中，处理器进一步被配置为获取被推荐用户的购物信息；发送器进一步被配置为将被推荐用户的购物信息推荐给联系人。
根据本公开一些实施例的第二个方面，提供一种信息推荐装置，包括：处理器，被配置为获取被推荐用户的联系人的通信标识；发送器，被配置为发送通信标识；接收器，被配置为接收联系人的购物信息，其中，联系人的购物信息是通过通信标识对应的用户标识获取的；输出接口，被配置为将联系人的购物信息推荐给被推荐用户。
在一些实施例中，输出接口进一步被配置为将联系人的购物信息和联系人的通信标识推荐给被推荐用户；处理器进一步被配置为响应于被推荐用户向联系人发起通信的操作，将联系人的通信标识发送给通信应用，以便被推荐用户通过通信应用与联系人进行联系。
在一些实施例中，输出接口进一步被配置为将联系人的购物信息和其他推荐信息采用不同的方式进行显示。
根据本公开一些实施例的第三个方面，提供一种信息推荐方法，包括：接收被推荐用户的联系人的通信标识；获取联系人的通信标识对应的用户标识；根据用户标识获取联系人的购物信息；将联系人的购物信息推荐给被推荐用户。
在一些实施例中，接收终端从通信应用中获取的联系人的通信标识。
在一些实施例中，将以下至少一种信息推荐给被推荐用户：联系人的购物信息中评价等级高于预设等级的已购物品信息；或者，联系人的公开的购物信息。
在一些实施例中，信息推荐方法还包括：根据用户的请求对用户的购物信息是否公开进行设置。
在一些实施例中，信息推荐方法还包括：获取被推荐用户的购物信息；将被推荐用户的购物信息推荐给联系人。
根据本公开一些实施例的第四个方面，提供一种信息推荐方法，包括：获取被推荐用户的联系人的通信标识；发送通信标识；接收联系人的购物信息，其中，联系人的购物信息是通过通信标识对应的用户标识获取的；将联系人的购物信息推荐给被推荐用户。
在一些实施例中，将联系人的购物信息和联系人的通信标识推荐给被推荐用户；信息推荐方法还包括：响应于被推荐用户向联系人发起通信的操作，将联系人的通信标识发送给通信应用，以便被推荐用户通过通信应用联系人进行联系。
在一些实施例中，信息推荐装置将联系人的购物信息推荐给被推荐用户包括：将联系人的购物信息显示给用户，其中，联系人的购物信息和其他推荐信息采用不同的方式进行显示。
根据本公开一些实施例的第五个方面，提供一种信息推荐装置，包括：存储器；以及耦接至存储器的处理器，处理器被配置为基于存储在存储器中的指令，执行前述任意一种信息推荐方法。
根据本公开一些实施例的第六个方面，提供一种计算机可读存储介质，其上存储有计算机程序，其特征在于，该程序被处理器执行时实现前述任意一种信息推荐方法。
上述发明中的一些实施例具有如下优点或有益效果：本公开的实施例提供的信息推荐装置可以根据被推荐用户的联系人的购物情况为被推荐用户推荐购物信息，从而使推荐的内容具有较高的可信度，能够提高用户的点击率和订单转化率，提高了推荐效率。
通过以下参照附图对本公开的示例性实施例的详细描述，本公开的其它特征及其优点将会变得清楚。
附图说明
为了更清楚地说明本公开实施例或现有技术中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本公开的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动性的前提下，还可以根据这些附图获得其他的附图。
图1A为根据本公开一些实施例的信息推荐系统的结构图。
图1B为根据本公开一些实施例的终端的结构图。
图2为根据本公开一些实施例的信息推荐平台的结构图。
图3为根据本公开一些实施例的信息推荐应用模块的结构图。
图4A～4D为根据本公开一些实施例的信息推荐方法的流程图。
图5为根据本公开再一些实施例的信息推荐方法的流程图。
图6为根据本公开再一些实施例的信息推荐方法的流程图。
图7为根据本公开再一些实施例的信息推荐方法的流程图。
图8为根据本公开一些实施例的信息推荐装置的结构图。
图9为根据本公开另一些实施例的信息推荐装置的结构图。
具体实施方式
下面将结合本公开实施例中的附图，对本公开实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本公开一部分实施例，而不是全部的实施例。以下对至少一个示例性实施例的描述实际上仅仅是说明性的，决不作为对本公开及其应用或使用的任何限制。基于本公开中的实施例，本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例，都属于本公开保护的范围。
除非另外具体说明，否则在这些实施例中阐述的部件和步骤的相对布置、数字表达式和数值不限制本公开的范围。
同时，应当明白，为了便于描述，附图中所示出的各个部分的尺寸并不是按照实际的比例关系绘制的。
对于相关领域普通技术人员已知的技术、方法和设备可能不作详细讨论，但在适当情况下，所述技术、方法和设备应当被视为授权说明书的一部分。
在这里示出和讨论的所有示例中，任何具体值应被解释为仅仅是示例性的，而不是作为限制。因此，示例性实施例的其它示例可以具有不同的值。
应注意到：相似的标号和字母在下面的附图中表示类似项，因此，一旦某一项在一个附图中被定义，则在随后的附图中不需要对其进行进一步讨论。
发明人发现，目前的电子商务网站的社交属性较弱。用户在电子商务网站中获取的能够参考的信息往往是来自陌生人的信息。因此，发明人想到，可以引入用户在具有社交和通信属性的通信应用中的联系人，并将这些联系人的购物信息推荐给用户以作为参考，以使联系人之间的信任起到引流作用。
图1A为根据本公开一些实施例的信息推荐系统的示例性结构图。如图1A所示，该实施例的信息推荐系统10包括两种信息推荐装置，分别为信息推荐平台20和信息推荐应用模块30。
信息推荐平台20可以位于电子商务网站的后台系统，能够与信息推荐应用模块30进行数据交互。
信息推荐应用模块30可以是电子商务应用，或者是电子商务应用的子模块。在一些实施例中，信息推荐应用模块30可以位于终端10中，如图1B所示，该终端10可以为手机、平板电脑、智能可穿戴设备等移动终端；此外，信息推荐应用模块30也可以位于其他能够与用户交互的设备中，如个人电脑等等，这里不再赘述。
下面参考图2描述本公开信息推荐平台的实施例。
图2为根据本公开一些实施例的信息推荐平台一个实施例的示例性结构图。如图2所示，该实施例的信息推荐平台20包括接收器201、处理器202和发送器203。
接收器201和发送器203可以为相互独立的器件，也可以以收发器的形式呈现。
接收器201被配置为接收被推荐用户的联系人的通信标识。在一些实施例中，接收器201可以接收终端发送的被推荐用户的联系人的通信标识。例如，终端可以从终端的通信应用中获取通信标识，通信应用可以是电话等通话应用，或者也可以是即时聊天软件等等。此外，接收器201也可以从云端或其他服务器中接收通信标识，例如从用户的云通讯录或者其他应用网站的后台系统等处接收。
被推荐用户的联系人可以是被推荐用户的好友，或者也可以是与被推荐用户互相交换了联系方式的人或被推荐用户单方留存了联系方式的人等等。联系人或者与被推荐用户熟悉，或者与被推荐用户具有相似的特征，例如共同的爱好、相近的生活区域、共同好友等等，因此相比于网络中的陌生用户更具有可信性。通信标识是能够在特定应用或平台中与联系人取得联系的标识，例如可以为电话号码、社交网络账号、电子邮箱、个人主页链接等等。
处理器202被配置为获取联系人的通信标识对应的用户标识，以及根据用户标识获取联系人的购物信息。处理器202例如可以从数据库中查找信息。例如，数据库可以存储电子商务平台用户的用户标识，以及用户的购物信息。此外，数据库还可以存储用户的基本信息，例如应用账号、电话号码、邮箱等通信标识。
在一些实施例中，电子商务平台可以存储用户标识、购物信息、通信标识三者之间的对应关系。由于用户标识和通信标识都具有唯一性，因而处理器202可以根据该 对应关系查找联系人的购物信息。购物信息可以包括购买物品信息、评价等级信息、收藏信息和浏览信息等等。处理器202可以根据需要，每次获取其中的一种或几种购物信息。
发送器203被配置为将联系人的购物信息推荐给被推荐用户。在一些实施例中，发送器203可以进一步被配置为将联系人的购物信息发送给被推荐用户的终端，以使被推荐用户通过终端获取推荐的购物信息。
通过上述实施例，本公开提供的信息推荐装置可以根据被推荐用户的联系人的购物情况为被推荐用户推荐购物信息，从而使推荐的内容具有较高的可信度，能够提高用户的点击率和订单转化率，提高了推荐效率。
本公开提供的信息推荐平台中的各个部件还可以具有进一步的配置，以实现其他功能。
在一些实施例中，可以将联系人的评价较高的购物信息推荐给用户。处理器202可以进一步被配置为根据获取的用户标识获取联系人的购买物品信息以及相应的评价等级信息，并确定其中的评价等级高于预设等级的已购物品信息；发送器203可以进一步被配置为将联系人购买的评价等级高于预设等级的已购物品信息推荐给被推荐用户。
例如，评价等级由高到低分为好评、中评和差评，预设等级为中评。联系人A购买了X手机，并且给X手机好评，则处理器202同时获取这两个信息，并使发送器203将X手机的信息、或者X手机的信息和联系人A对X手机的评价内容发送给终端进行展示；如果联系人B购买了Y手机并进行了差评，则处理器202不对Y手机进行推荐。从而，被推荐用户可以获取联系人评价高于预设等级的商品，进一步提高了推荐的商品的下单几率。
在一些实施例中，被推荐用户也可以将自己的购物信息进行分享。发送器203可以进一步被配置为将被推荐用户的购物信息推荐给联系人，被推荐用户的购物信息是由处理器202获取的。从而，当被推荐用户将联系人的通信标识发送给信息推荐平台后，被推荐用户和联系人就建立起了互为推荐者的关系。信息推荐平台可以将这一关系中任意一方的购物信息推荐给另一方，从而实现了信息共享。
在一些实施例中，用户可以对自身的购物信息进行公开权限设置。如果用户设置某购物信息的权限是公开的，则发送器203可以将该购物信息推荐给其他用户；否则，发送器203不推荐该购物信息。例如，用户可以发送请求，请求中指示对某个购物信 息是否公开。此时，处理器202可以进一步被配置为根据用户的请求对用户的购物信息是否公开进行设置。用户在进行设置后，可以重新发送请求以更改该设置。
在推荐的过程中，处理器202可以根据查找到的用户标识获取联系人的购物信息以及购物信息是否公开的信息；然后，发送器203可以将联系人的公开的购物信息推荐给被推荐用户，而不发送该联系人的不公开的购物信息。从而，可以保护用户的隐私，提高了用户体验。
下面参考图3描述本公开信息推荐应用模块的实施例。
图3为根据本公开一些实施例的信息推荐应用模块的示例性结构图。如图3所示，该实施例的信息推荐应用模块30包括处理器301、发送器302、接收器303和输出接口304。这些部件可以采用硬件或软件方式实施，并且这些部件可以是信息推荐应用模块30专有的，也可以是和信息推荐应用模块30所在的设备中的其他装置共享的。
处理器301例如可以从通信应用中获取被推荐用户的联系人的通信标识，例如，处理器301可以是不同应用之间的跳转接口。在一些实施例中，通信应用可以位于终端。
通信应用可以为通话应用，例如电话拨号应用或者通讯录应用等等，此时，通信标识例如可以为电话号码，也可以是存储的电子邮箱、应用账号等等；通信应用也可以为电子邮件应用，此时通信标识例如可以为电子邮箱；通信应用还可以为社交网络应用，此时通信标识例如可以为应用账号等等，从而可以通过社交网络应用中成熟的社交系统来弥补电子商务平台社交属性的不足。
用户在使用信息推荐应用模块30时，可以通过操作指示应用进行基于联系人的推荐，或者信息推荐应用模块30也可以定期启动该推荐功能。此时，信息推荐应用模块30例如可以调用处理器301并发送读取联系人的指令。
在一些实施例中，通信应用可以预先设置信息推荐应用模块30的读取权限。从而，在通信应用授权的前提下，信息推荐应用模块30可以读取其中的联系人的通信标识。在一些实施例中，信息推荐应用模块30可以根据用户的选择读取通信应用中的部分或全部联系人的通信标识，也可以按照联系人的分组进行以组为单位的获取。
此外，处理器301也可以从云端系统或者通信应用服务器中获取通信标识，这里不再赘述。
发送器302被配置为将通信标识发送给信息推荐平台20。从而，信息推荐平台20可以查找通信标识对应的用户标识，以及根据查找到的用户标识获取联系人的购物 信息，并将查找到的内容返回给信息推荐应用模块30。
接收器303被配置为接收信息推荐平台发送的联系人的购物信息。接收器303可以接收信息推荐平台发送的一种或多种购物信息。
根据需要，接收器303还可以接收信息推荐平台20发送的购物信息以外的信息，例如，可以在接收购物信息的同时，接收与之对应的联系人、联系人的通信标识等等，以使被推荐用户可以获知购物信息是基于哪个用户的购物情况来推荐的。
输出接口304被配置为将联系人的购物信息推荐给被推荐用户。输出接口304例如可以为显示设备的接口或者播放设备的接口，从而购物信息可以通过屏幕或声音送达至用户。
当输出接口304为显示设备的接口时，终端30例如可以通过屏幕上的应用页面展示商品信息，或者通过通知消息显示商品概要，或者也可以在商品的详情页面展示联系人的评论等等。
此外，输出接口304还可以输出接收器303接收的其他部分或全部信息，或者也可以根据需要输出接收器303接收的信息以外的其他信息，例如联系人的名字等等。
通过上述实施例，本公开提供的信息推荐装置可以根据被推荐用户的联系人的购物情况为被推荐用户推荐购物信息，从而使推荐的内容具有较高的可信度，能够提高用户的点击率和订单转化率，提高了推荐效率。
本公开提供的信息推荐装置中的各个部件还可以具有进一步的配置，以实现其他功能。
在一些实施例中，被推荐用户在接收到推荐内容后，可以便捷地与推荐的购物信息对应的联系人进行联系。输出接口304可以进一步被配置为将购物信息和相应的联系人的通信标识推荐给被推荐用户。例如，当输出接口304展示联系人的购物信息时，可以同时展示与之关联的联系人姓名、联系人在电子商务平台的标识或者联系人的通信标识等等。从而，被推荐用户可以针对展示的联系人或者联系人的通信标识发起联系请求。
此时，处理器301可以进一步被配置为响应于被推荐用户向联系人发起通信的操作，打开通信应用并将联系人的通信标识发送给通信应用，以便被推荐用户通过通信应用与联系人进行联系。
例如，信息推荐应用模块30在展示商品Z的同时，还注明由联系人C推荐。被推荐用户对商品Z的评论存疑，欲向联系人C询问使用体验，则被推荐用户可以点击 标识了联系人C的按钮、文字或图像。此时，信息推荐应用模块30的处理器301中的跳转接口将联系人C的电话号码发送给拨号应用并打开拨号应用。拨号应用响应于上述操作，向联系人C的电话号码发起通信。从而，用户在接收到被推荐的商品信息时，可以便捷地与该商品信息相关的联系人取得联系，以进一步地了解商品，提高了用户的使用体验。
在一些实施例中，信息推荐应用模块30可以仅向用户推荐联系人的评价高于预设水平的商品信息。例如，接收器303可以进一步被配置为接收信息推荐平台20发送的联系人购买的评价等级高于预设等级的已购物品信息。从而，输出接口304也仅将评价等级高于预设等级的已购物品信息推荐给用户，以进一步提高推荐的成功率。
在一些实施例中，接收器303可以进一步被配置为接收信息推荐平台发送的联系人的公开的购物信息。从而，被推荐用户不会看到联系人不选择公开的购物信息，有效保护了用户的隐私。信息推荐应用模块30还可以包括输入接口305，被配置为接收用户对购物信息是否公开所进行的设置，并将设置发送给信息推荐平台20，以便信息推荐平台20对购物信息是否公开进行设置。
在一些实施例中，信息推荐应用模块30可以将根据联系人的购物信息获取的推荐信息与通过其他方法获得的推荐信息进行区分显示。输出接口304可以进一步被配置为将联系人的购物信息和其他推荐信息采用不同的方式进行显示。不同的显示方式可以是不同的显示颜色、不同的字体、不同的排版、不同的显示位置或者不同的显示标记等等。例如，可以将联系人的购物信息进行高亮显示、置顶显示，或者将联系人的购物信息进行特殊标记并显示，以使用户知晓哪些购物信息是来自联系人的，从而方便用户进行甄别和选择。
下面参考图4A～4D描述本公开信息推荐方法的实施例。
图4A为根据本公开一些实施例的信息推荐方法的示例性流程图。如图4A所示，该实施例的信息推荐方法包括步骤S402～S410。
在步骤S402中，信息推荐平台接收被推荐用户的联系人的通信标识。联系人的通信标识可以是信息推荐应用模块发送的，还可以是从其他设备或系统处获取的。步骤S402的一种实现方式可以参考图4B中的步骤S4022。在步骤S4022中，信息推荐平台获取终端通信应用中的联系人的通信标识。通信应用可以位于终端，此外，也可以位于云端或者服务器等等。通信应用例如可以为通话应用、社交网络应用、电子邮件应用。通信标识例如可以为电话号码、社交网络账号、电子邮箱、个人主页链接等 等。
在步骤S404中，信息推荐平台获取联系人的通信标识对应的用户标识。
在步骤S406中，信息推荐平台根据用户标识获取联系人的购物信息。购物信息包括购买物品信息、评价等级信息、收藏信息和浏览信息中的一种或多种。信息推荐平台例如可以从数据库中查找信息。
在步骤S408中，信息推荐平台将联系人的购物信息推荐给被推荐用户。在一些实施例中，可以将联系人的购物信息发送给被推荐用户的终端，例如通过终端的通知消息或者终端的电子商务应用进行展示，从而方便用户查看。
通过上述实施例的方法，本公开可以根据被推荐用户的联系人的购物情况为被推荐用户推荐购物信息，从而使推荐的内容具有较高的可信度，能够提高用户的点击率和订单转化率，提高了推荐效率。
图4C为根据本公开另一些实施例的信息推荐方法的示例性流程图。如图4C所示，该实施例的信息推荐方法包括步骤S412～S414。
在步骤S412中，信息推荐平台根据查找到的用户标识获取联系人的购买物品信息对应的评价等级信息，并确定评价等级高于预设等级的已购物品信息。
在步骤S414中，信息推荐平台将评价等级高于预设等级的已购物品信息推荐给被推荐用户，例如可以通过信息推荐应用模块推荐给被推荐用户。
从而，可以仅将联系人的评价优于预期的商品推荐给被推荐用户。
图4D为根据本公开又一些实施例的信息推荐方法的示例性流程图。如图4D所示，该实施例的信息推荐方法包括步骤S422～S424。
在步骤S422中，信息推荐平台根据查找到的用户标识获取联系人的购物信息以及购物信息是否公开的信息。
在步骤S424中，信息推荐平台将联系人的公开的购物信息推荐给被推荐用户。例如，可以由信息推荐应用模块接收信息推荐平台发送的联系人的公开的购物信息、并推荐给被推荐用户。
此外，也可以根据用户的请求对用户的购物信息是否公开进行设置，如步骤S421所示。在步骤S421中，信息推荐平台根据用户的请求对用户的购物信息是否公开进行设置。
通过上述实施例的方法，可以保护用户的隐私。
此外，用户和联系人还可以建立互为推荐者的关系。下面参考图5描述本公开信 息推荐方法的实施例。
图5为根据本公开再一些实施例的信息推荐方法的示例性流程图。如图5所示，该实施例的信息推荐方法包括步骤S502～S510。
在步骤S502中，信息推荐应用模块获取第一用户的联系人的通信标识，联系人中包括第二用户。
在步骤S504中，信息推荐应用模块将第二用户的通信标识发送给信息推荐平台。
在步骤S506中，信息推荐平台查找第一用户和第二用户的购物信息。
在步骤S508中，信息推荐平台将第一用户的购物信息推荐给第二用户。
在步骤S510中，信息推荐平台将第二用户的购物信息推荐给第一用户。
步骤S508和S510可以同时执行，也可以步骤S508先执行，或者也可以步骤S510先执行。
从而，当被推荐用户(即上述实施例中的第一用户)将联系人的通信标识发送给信息推荐平台后，被推荐用户和联系人(即上述实施例中的第二用户)就建立起了互为推荐者的关系。信息推荐平台可以将这一关系中任意一方的购物信息推荐给另一方，从而实现了信息共享。
图6为根据本公开再一些实施例的信息推荐方法的示例性流程图。如图6所示，该实施例的信息推荐方法包括步骤S602～S608。
在步骤S602中，信息推荐应用模块获取被推荐用户的联系人的通信标识。信息推荐应用模块可以从通信应用中获取被推荐用户的联系人的通信标识。
在步骤S604中，信息推荐应用模块将通信标识发送给信息推荐平台，以便信息推荐平台查找通信标识对应的用户标识、以及根据查找到的用户标识获取联系人的购物信息。
在步骤S606中，信息推荐应用模块接收信息推荐平台发送的联系人的购物信息。在一些实施例中，信息推荐应用模块可以接收信息推荐平台发送的联系人购买的评价等级高于预设等级的已购物品信息。从而，信息推荐应用模块可以将联系人购买的评价等级高于预设等级的已购物品信息推荐给被推荐用户。
在一些实施例这种，信息推荐应用模块可以接收信息推荐平台发送的联系人的公开的购物信息。从而，被推荐用户无法查看到联系人选择不公开的购物信息，能够保护用户的隐私。信息推荐应用模块还可以接收用户对购物信息是否公开所进行的设置，并将设置发送给信息推荐平台，以便信息推荐平台对购物信息是否公开进行设置。
在步骤S608中，信息推荐应用模块将联系人的购物信息推荐给被推荐用户。例如，信息推荐应用模块可以通过显示图文或播放声音的方式进行推荐。例如，信息推荐应用模块可以在用户浏览商品时，将联系人的对该商品的评价内容和评价等级在评论区置顶展示，以使用户优先获取联系人的观点。
在一些实施例中，可以将联系人的购物信息显示给用户，其中，联系人的购物信息和其他推荐信息采用不同的方式进行显示。从而，可以将基于联系人推荐的购物信息进行特殊的标注，以与其他信息区分开来。
通过上述实施例的方法，本公开可以根据被推荐用户的联系人的购物情况为被推荐用户推荐购物信息，从而使推荐的内容具有较高的可信度，能够提高用户的点击率和订单转化率，提高了推荐效率。
图7为根据本公开再一些实施例的信息推荐方法的示例性流程图。如图7所示，该实施例的信息推荐方法包括步骤S702～S710。
在步骤S702中，信息推荐应用模块获取被推荐用户的联系人的通信标识。
在步骤S704中，信息推荐应用模块将通信标识发送给信息推荐平台，以便信息推荐平台查找通信标识对应的用户标识、以及根据查找到的用户标识获取联系人的购物信息。
在步骤S706中，信息推荐应用模块接收信息推荐平台发送的联系人的购物信息。
在步骤S708中，信息推荐应用模块将联系人的购物信息和联系人的通信标识推荐给被推荐用户。
在步骤S710中，响应于被推荐用户向联系人发起通信的操作，信息推荐应用模块打开通信应用并将联系人的通信标识发送给通信应用，以便被推荐用户通过通信应用联系人进行联系。
通过上述实施例的方法，用户在接收到被推荐的商品信息时，可以便捷地与该商品信息相关的联系人取得联系，以进一步地了解商品，提高了用户的使用体验。
图8为本公开一些实施例的信息推荐装置的示例性结构图。如图8所示，该实施例的信息推荐装置800包括：存储器810以及耦接至该存储器810的处理器820，处理器820被配置为基于存储在存储器810中的指令，执行前述任意一个实施例中的信息推荐方法。
其中，存储器810例如可以包括系统存储器、固定非易失性存储介质等。系统存储器例如存储有操作系统、应用程序、引导装载程序(Boot Loader)以及其他程序等。
图9为根据本公开另一些实施例的信息推荐装置的示例性结构图。如图9所示，该实施例的信息推荐装置900包括：存储器910以及处理器920，还可以包括输入输出接口930、网络接口940、存储接口950等。这些接口930，940，950以及存储器910和处理器920之间例如可以通过总线960连接。其中，输入输出接口930为显示器、鼠标、键盘、触摸屏等输入输出设备提供连接接口。网络接口940为各种联网设备提供连接接口。存储接口950为SD卡、U盘等外置存储设备提供连接接口。
本公开的实施例还提供一种计算机可读存储介质，其上存储有计算机程序，其中，该程序被处理器执行时实现前述任意一种信息推荐方法。
本领域内的技术人员应当明白，本公开的实施例可提供为方法、系统、或计算机程序产品。因此，本公开可采用完全硬件实施例、完全软件实施例、或结合软件和硬件方面的实施例的形式。而且，本公开可采用在一个或多个其中包含有计算机可用程序代码的计算机可用非瞬时性存储介质(包括但不限于磁盘存储器、CD-ROM、光学存储器等)上实施的计算机程序产品的形式。
本公开是参照根据本公开实施例的方法、设备(系统)、和计算机程序产品的流程图和/或方框图来描述的。应理解为可由计算机程序指令实现流程图和/或方框图中的每一流程和/或方框、以及流程图和/或方框图中的流程和/或方框的结合。可提供这些计算机程序指令到通用计算机、专用计算机、嵌入式处理机或其他可编程数据处理设备的处理器以产生一个机器，使得通过计算机或其他可编程数据处理设备的处理器执行的指令产生用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的装置。
这些计算机程序指令也可存储在能引导计算机或其他可编程数据处理设备以特定方式工作的计算机可读存储器中，使得存储在该计算机可读存储器中的指令产生包括指令装置的制造品，该指令装置实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能。
这些计算机程序指令也可装载到计算机或其他可编程数据处理设备上，使得在计算机或其他可编程设备上执行一系列操作步骤以产生计算机实现的处理，从而在计算机或其他可编程设备上执行的指令提供用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的步骤。
以上所述仅为本公开的较佳实施例，并不用以限制本公开，凡在本公开的精神和原则之内，所作的任何修改、等同替换、改进等，均应包含在本公开的保护范围之内。

Claims (19)

  1. 一种信息推荐装置，包括：
    接收器，被配置为接收被推荐用户的联系人的通信标识；
    处理器，被配置为获取所述联系人的通信标识对应的用户标识，以及根据用户标识获取所述联系人的购物信息；
    发送器，被配置为将所述联系人的购物信息推荐给被推荐用户。
  2. 根据权利要求1所述的信息推荐装置，其中，
    所述接收器进一步被配置为接收终端从通信应用中获取的联系人的通信标识。
  3. 根据权利要求1所述的信息推荐装置，其中，所述发送器进一步被配置为以下至少一种信息推荐给被推荐用户：
    联系人的购物信息中评价等级高于预设等级的已购物品信息；或者，
    联系人的公开的购物信息。
  4. 根据权利要求1所述的信息推荐装置，其中，所述购物信息包括购买物品信息、评价等级信息、收藏信息和浏览信息中的一种或多种。
  5. 根据权利要求1～4中任一项所述的信息推荐装置，其中，
    所述处理器进一步被配置为根据用户的请求对用户的购物信息是否公开进行设置。
  6. 根据权利要求1～4中任一项所述的信息推荐装置，其中，
    所述处理器进一步被配置为获取所述被推荐用户的购物信息；
    所述发送器进一步被配置为将所述被推荐用户的购物信息推荐给所述联系人。
  7. 一种信息推荐装置，包括：
    处理器，被配置为获取被推荐用户的联系人的通信标识；
    发送器，被配置为发送所述通信标识；
    接收器，被配置为接收所述联系人的购物信息，其中，所述联系人的购物信息是通过所述通信标识对应的用户标识获取的；
    输出接口，被配置为将所述联系人的购物信息推荐给被推荐用户。
  8. 根据权利要求7所述的信息推荐装置，其中，
    所述输出接口进一步被配置为将所述联系人的购物信息和所述联系人的通信标识推荐给被推荐用户；
    所述处理器进一步被配置为响应于被推荐用户向联系人发起通信的操作，将所述联系人的通信标识发送给通信应用，以便被推荐用户通过所述通信应用与所述联系人进行联系。
  9. 根据权利要求7或8所述的信息推荐装置，其中，
    所述输出接口进一步被配置为将所述联系人的购物信息和其他推荐信息采用不同的方式进行显示。
  10. 一种信息推荐方法，包括：
    接收被推荐用户的联系人的通信标识；
    获取所述联系人的通信标识对应的用户标识；
    根据用户标识获取所述联系人的购物信息；
    将所述联系人的购物信息推荐给被推荐用户。
  11. 根据权利要求10所述的信息推荐方法，其中，
    接收终端从通信应用中获取的联系人的通信标识。
  12. 根据权利要求10所述的信息推荐方法，其中，将以下至少一种信息推荐给被推荐用户：
    联系人的购物信息中评价等级高于预设等级的已购物品信息；或者，
    联系人的公开的购物信息。
  13. 根据权利要求10～12中任一项所述的信息推荐方法，还包括：
    根据用户的请求对用户的购物信息是否公开进行设置。
  14. 根据权利要求10～12中任一项所述的信息推荐方法，还包括：
    获取所述被推荐用户的购物信息；
    将所述被推荐用户的购物信息推荐给所述联系人。
  15. 一种信息推荐方法，包括：
    获取被推荐用户的联系人的通信标识；
    发送所述通信标识；
    接收所述联系人的购物信息，其中，所述联系人的购物信息是通过所述通信标识对应的用户标识获取的；
    将所述联系人的购物信息推荐给被推荐用户。
  16. 根据权利要求15所述的信息推荐方法，其中，
    将所述联系人的购物信息和所述联系人的通信标识推荐给被推荐用户；
    所述信息推荐方法还包括：
    响应于被推荐用户向联系人发起通信的操作，将所述联系人的通信标识发送给通信应用，以便被推荐用户通过通信应用所述联系人进行联系。
  17. 根据权利要求15或16所述的信息推荐方法，其中，所述信息推荐装置将所述联系人的购物信息推荐给被推荐用户包括：
    将所述联系人的购物信息显示给用户，其中，所述联系人的购物信息和其他推荐信息采用不同的方式进行显示。
  18. 一种信息推荐装置，包括：
    存储器；以及
    耦接至所述存储器的处理器，所述处理器被配置为基于存储在所述存储器中的指令，执行如权利要求10-17中任一项所述的信息推荐方法。
  19. 一种计算机可读存储介质，其上存储有计算机程序，其中，该程序被处理器执行时实现权利要求10～17中任一项所述的信息推荐方法。
PCT/CN2018/094994 2017-09-04 2018-07-09 信息推荐装置、方法和计算机可读存储介质 Ceased WO2019042017A1 (zh)

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