Point of interest identification method and apparatus, recommendation method and apparatus, device, and medium

Abstract

The present disclosure provides a point of interest identification method and device, a recommendation method and device, equipment and a medium, relates to the field of artificial intelligence, and in particular to the field of object recommendation. The implementation scheme is as follows: determining a plurality of first operations of a user in the process of browsing a reference object for the reference object, wherein each first operation in the plurality of first operations can be used to update a real-time display area of the reference object; for each first operation in the plurality of first operations, determining a first display area of the reference object corresponding to the first operation and a duration of the first display area, wherein the first display area corresponding to each first operation is obtained by updating the real-time display area of the reference object in response to the first operation; and determining a point of interest of the user based on the first display area corresponding to each first operation in the plurality of first operations and the duration of the first display area.

Description

Technical Field

[0001] This disclosure relates to the field of artificial intelligence technology, and in particular to object recommendation, specifically to a method and apparatus for identifying points of interest, a recommendation method and apparatus, an electronic device, a computer-readable storage medium, and a computer program product. Background Technology

[0002] Artificial intelligence (AI) is the study of enabling computers to simulate certain human thought processes and intelligent behaviors (such as learning, reasoning, thinking, and planning). It encompasses both hardware and software technologies. AI hardware technologies generally include sensors, dedicated AI chips, cloud computing, distributed storage, and big data processing. AI software technologies primarily include computer vision, speech recognition, natural language processing, machine learning / deep learning, big data processing, and knowledge graph technologies.

[0003] The methods described in this section are not necessarily methods that had been previously conceived or adopted. Unless otherwise specified, no method described in this section should be assumed to be prior art simply because it is included in this section. Similarly, unless otherwise specified, the issues mentioned in this section should not be considered to be accepted in any prior art. Summary of the Invention

[0004] This disclosure provides a method and apparatus for identifying points of interest, a method and apparatus for recommendation, an electronic device, a computer-readable storage medium, and a computer program product.

[0005] According to one aspect of this disclosure, a method for identifying points of interest is provided, comprising: determining a plurality of first operations performed by a user on a reference object during browsing of the reference object, wherein each of the plurality of first operations is capable of updating a real-time display area of ​​the reference object; for each of the plurality of first operations, determining a first display area of ​​the reference object corresponding to the first operation and a duration of the first display area, wherein the first display area corresponding to each first operation is obtained in response to updating the real-time display area of ​​the reference object in response to the first operation; and determining the user's points of interest based on the first display area corresponding to each of the plurality of first operations and the duration of the first display area.

[0006] According to another aspect of this disclosure, an object recommendation method is provided, comprising: obtaining user information of a target user and object information of an object to be recommended, wherein the user information includes the target user's interest points determined according to the above method; and determining a recommendation result for the object to be recommended based at least on the matching degree between the user information and the object information.

[0007] According to another aspect of this disclosure, an interest point identification device is provided, comprising: a first determining unit configured to determine a plurality of first operations performed by a user on a reference object during browsing of the reference object, wherein each of the plurality of first operations can be used to update a real-time display area of ​​the reference object; a second determining unit configured to determine, for each of the plurality of first operations, a first display area of ​​the reference object corresponding to the first operation and a duration of the first display area, wherein the first display area corresponding to each first operation is obtained in response to updating the real-time display area of ​​the reference object in response to the first operation; and a third determining unit configured to determine the user's interest point based on the first display area corresponding to each of the plurality of first operations and the duration of the first display area.

[0008] According to another aspect of this disclosure, an object recommendation apparatus is provided, comprising: an acquisition unit configured to acquire user information of a target user and object information of an object to be recommended, wherein the user information includes the target user's points of interest determined according to the above method; and a fourth determination unit configured to determine a recommendation result for the object to be recommended based at least on the matching degree between the user information and the object information.

[0009] According to another aspect of this disclosure, an electronic device is provided, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the methods described above.

[0010] According to another aspect of this disclosure, a non-transitory computer-readable storage medium is provided storing computer instructions, wherein the computer instructions are used to cause a computer to perform the methods described above.

[0011] According to another aspect of this disclosure, a computer program product is provided, including a computer program, wherein the computer program implements the above-described method when executed by a processor.

[0012] According to one or more embodiments of this disclosure, a user's points of interest can be identified more accurately.

[0013] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of this disclosure, nor is it intended to limit the scope of this disclosure. Other features of this disclosure will become readily apparent from the following description. Attached Figure Description

[0014] The accompanying drawings exemplify embodiments and form part of the specification, serving together with the textual description to explain exemplary implementations of the embodiments. The illustrated embodiments are for illustrative purposes only and do not limit the scope of the claims. Throughout the drawings, the same reference numerals refer to similar but not necessarily identical elements.

[0015] Figure 1 A schematic diagram of an exemplary system in which the various methods described herein may be implemented according to embodiments of the present disclosure is shown;

[0016] Figure 2 A flowchart of an interest point identification method according to an embodiment of the present disclosure is shown;

[0017] Figure 3 A flowchart of an object recommendation method according to an embodiment of the present disclosure is shown;

[0018] Figure 4 A structural block diagram of an interest point identification device according to an embodiment of the present disclosure is shown;

[0019] Figure 5 A structural block diagram of an object recommendation apparatus according to an embodiment of the present disclosure is shown;

[0020] Figure 6 A structural block diagram of an exemplary electronic device that can be used to implement embodiments of the present disclosure is shown. Detailed Implementation

[0021] The exemplary embodiments of this disclosure are described below with reference to the accompanying drawings, including various details of the embodiments to aid understanding, and should be considered merely exemplary. Therefore, those skilled in the art will recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope of this disclosure. Similarly, for clarity and brevity, descriptions of well-known functions and structures are omitted in the following description.

[0022] In this disclosure, unless otherwise stated, the use of terms such as "first," "second," etc., to describe various elements is not intended to limit the positional, temporal, or importance relationships of these elements; such terms are merely used to distinguish one element from another. In some examples, the first element and the second element may refer to the same instance of that element, while in other cases, based on the context, they may refer to different instances.

[0023] The terminology used in the description of the various examples in this disclosure is for the purpose of describing particular examples only and is not intended to be limiting. Unless the context explicitly indicates otherwise, an element may be one or more unless the number of elements is specifically limited. Furthermore, the term "and / or" as used in this disclosure covers any one of the listed items and all possible combinations thereof.

[0024] In related technologies, user interest is often determined by clicking on a reference object; that is, if a user clicks on a reference object, they are considered interested, and if they do not click, they are considered uninterested. However, this method of identifying user interest is very crude, especially for reference objects that contain many different types of content, such as documents, where this method cannot accurately determine the user's specific interests.

[0025] Based on this, this disclosure proposes an interest point identification method, which mines the content that the user is truly concerned about during the browsing process by analyzing the first display area corresponding to each first operation of the user on the reference object and its duration, thereby accurately identifying the user's real interest points.

[0026] The embodiments of this disclosure will now be described in detail with reference to the accompanying drawings.

[0027] Figure 1 A schematic diagram of an exemplary system 100 in which the various methods and apparatus described herein can be implemented according to embodiments of this disclosure is shown. Reference Figure 1 The system 100 includes one or more client devices 101, 102, 103, 104, 105 and 106, a server 120, and one or more communication networks 110 coupling the one or more client devices to the server 120. The client devices 101, 102, 103, 104, 105 and 106 can be configured to execute one or more applications.

[0028] In embodiments of this disclosure, server 120 may run one or more services or software applications that enable the execution of methods for point-of-interest identification and object recommendation.

[0029] In some embodiments, server 120 may also provide other services or software applications that may include non-virtual and virtual environments. In some embodiments, these services may be provided as web-based services or cloud services, such as to users of client devices 101, 102, 103, 104, 105 and / or 106 under a Software as a Service (SaaS) model.

[0030] exist Figure 1In the configuration shown, server 120 may include one or more components that implement the functions performed by server 120. These components may include software components, hardware components, or combinations thereof that can be executed by one or more processors. Users operating client devices 101, 102, 103, 104, 105, and / or 106 can sequentially interact with server 120 using one or more client applications to utilize the services provided by these components. It should be understood that various different system configurations are possible and may differ from system 100. Therefore, Figure 1 This is an example of a system used to implement the various methods described herein, and is not intended to be limiting.

[0031] Users can use client devices 101, 102, 103, 104, 105, and / or 106 to receive their initial actions. The client devices can provide an interface that allows users to interact with them. The client devices can also output information to the user through this interface. Although... Figure 1 Only six client devices are described, but those skilled in the art will understand that this disclosure can support any number of client devices.

[0032] Client devices 101, 102, 103, 104, 105, and / or 106 may include various types of computer devices, such as portable handheld devices, general-purpose computers (such as personal computers and laptops), workstation computers, wearable devices, smart screen devices, self-service terminal devices, service robots, gaming systems, thin clients, various messaging devices, sensors, or other sensing devices. These computer devices can run various types and versions of software applications and operating systems, such as Microsoft Windows, Apple iOS, UNIX-like operating systems, Linux or Linux-like operating systems (such as Google Chrome OS); or include various mobile operating systems, such as Microsoft Windows Mobile OS, iOS, Windows Phone, and Android. Portable handheld devices may include cellular phones, smartphones, tablets, personal digital assistants (PDAs), etc. Wearable devices may include head-mounted displays (such as smart glasses) and other devices. Gaming systems may include various handheld gaming devices, internet-enabled gaming devices, etc. Client devices are capable of executing various applications, such as various internet-related applications, communication applications (such as email applications), short message service (SMS) applications, and can use various communication protocols.

[0033] Network 110 can be any type of network well known to those skilled in the art, and can use any of a variety of available protocols (including but not limited to TCP / IP, SNA, IPX, etc.) to support data communication. By way of example only, one or more networks 110 can be a local area network (LAN), an Ethernet-based network, a token ring network, a wide area network (WAN), the Internet, a virtual network, a virtual private network (VPN), an intranet, an extranet, a public switched telephone network (PSTN), an infrared network, a wireless network (e.g., Bluetooth, WIFI), and / or any combination of these and / or other networks.

[0034] Server 120 may include one or more general-purpose computers, special-purpose server computers (e.g., PC (personal computer) servers, UNIX servers, mid-range servers), blade servers, mainframe computers, server clusters, or any other suitable arrangement and / or combination. Server 120 may include one or more virtual machines running a virtual operating system, or other computing architectures involving virtualization (e.g., one or more flexible pools of logical storage devices that can be virtualized to maintain virtual storage devices for servers). In various embodiments, server 120 may run one or more services or software applications that provide the functionality described below.

[0035] The computing unit in server 120 can run one or more operating systems, including any of the aforementioned operating systems and any commercially available server operating system. Server 120 can also run any of a variety of additional server applications and / or middleware applications, including HTTP servers, FTP servers, CGI servers, JAVA servers, database servers, etc.

[0036] In some implementations, server 120 may include one or more applications to analyze and merge data feeds and / or event updates received from users of client devices 101, 102, 103, 104, 105, and 106. Server 120 may also include one or more applications to display data feeds and / or real-time events via one or more display devices of client devices 101, 102, 103, 104, 105, and 106.

[0037] In some implementations, server 120 can be a server for a distributed system or a server integrated with blockchain. Server 120 can also be a cloud server, or an intelligent cloud computing server or intelligent cloud host with artificial intelligence technology. A cloud server is a host product in the cloud computing service system, designed to address the shortcomings of traditional physical hosts and Virtual Private Server (VPS) services, such as high management difficulty and weak business scalability.

[0038] System 100 may also include one or more databases 130. In some embodiments, these databases may be used to store data and other information. For example, one or more of the databases 130 may be used to store information such as audio files and video files. Databases 130 may reside in various locations. For example, a database used by server 120 may be local to server 120, or it may be located away from server 120 and may communicate with server 120 via a network-based or dedicated connection. Databases 130 may be of different types. In some embodiments, the database used by server 120 may be, for example, a relational database. One or more of these databases may store, update, and retrieve data from and from the databases in response to commands.

[0039] In some embodiments, one or more of the databases 130 may also be used by an application to store application data. The databases used by the application may be of different types, such as key-value stores, object stores, or regular stores supported by a file system.

[0040] Figure 1 The system 100 can be configured and operated in various ways to enable the application of the various methods and apparatus described in this disclosure.

[0041] The collection, storage, use, processing, transmission, provision, and disclosure of user personal information involved in the technical solution disclosed herein comply with the provisions of relevant laws and regulations and do not violate public order and good morals.

[0042] Figure 2 A flowchart of an interest point identification method according to an embodiment of the present disclosure is shown, such as... Figure 2 As shown, the point of interest identification method includes: step S201, determining multiple first operations performed by the user on the reference object during browsing, wherein each of the multiple first operations can be used to update the real-time display area of ​​the reference object; step S202, for each of the multiple first operations, determining the first display area of ​​the reference object corresponding to the first operation and the duration of the first display area, wherein the first display area corresponding to each first operation is obtained in response to updating the real-time display area of ​​the reference object; and step S203, determining the user's point of interest based on the first display area corresponding to each of the multiple first operations and the duration of the first display area.

[0043] Therefore, based on the first display area corresponding to each user's first operation and its duration, it is possible to uncover the content that the user is truly interested in during browsing, and thus accurately identify the user's true interests.

[0044] Regarding step S201, according to some embodiments, the reference object may include a document.

[0045] According to some embodiments, the first operation may include direction information and length information. Based on each first operation performed by the user on the reference object during the browsing process, the direction and distance for updating the real-time display area of ​​the reference object can be determined so as to display the first display area located at the distance on the real-time display area corresponding to the first operation.

[0046] According to some embodiments, the first operation may include at least one of sliding, scrolling, or dragging.

[0047] Regarding step S202, according to some embodiments, the duration of the first display area of ​​the reference object corresponding to the first operation can be determined by monitoring the duration of the first display area in the background.

[0048] According to some embodiments, the duration of the first display area of ​​the reference object corresponding to the first operation can be determined based on the time interval between the first operation and the next first operation.

[0049] Regarding step S203, according to some embodiments, determining the user's point of interest based on the first display area corresponding to each of the multiple first operations and the duration of the first display area may include: determining the central area of ​​the first display area corresponding to each of the multiple first operations; and determining the user's point of interest based on the central area corresponding to each of the multiple first operations and the duration of the central area.

[0050] Since the central area of ​​the first display area is often the area that users pay the most attention to in the first display area, determining the user's point of interest based on the central area can improve the accuracy and efficiency of the judgment.

[0051] In one implementation, when the reference object is a document, the first display area corresponding to each of the multiple first operations is a portion of the text area in the document. Each character in the document has its position coordinates (x, y) within the entire document. When a user clicks and opens the document, the real-time display area is typically the top of the document. During the user's browsing of the document, the real-time display area can be updated by dragging the document's scroll bar (i.e., the first operation). By monitoring the total scroll length of the document caused by multiple drag operations during browsing, the characters contained in the central area of ​​the first display area can be determined.

[0052] Specifically, the ordinate Y of the character located at the center of the current first display area can be represented as: the height of the first display area / 2 + the total length of document scrolling. By traversing the position coordinates (x, y) of each character in the document, if the difference between the ordinate y and the ordinate Y of the position coordinates (x, y) of one character is less than a preset threshold, it is determined that the character belongs to the center area of ​​the current first display area.

[0053] In another implementation, there is often a top area above the real-time display area of ​​the document that does not change as the user scrolls the document. This top area can be used to display relevant information such as the document's author and publication date. In this case, the vertical coordinate Y of the character located at the center of the current first display area can be expressed as: (height of the first display area / 2) - (height of the top area) + (total length of document scrolling).

[0054] According to some embodiments, determining a user's point of interest based on a first display area corresponding to each of a plurality of first operations and the duration of the first display area may include: for each of the plurality of first operations, in response to the duration of the first display area being greater than a preset threshold, determining the first display area as a first area of ​​interest; and determining the user's point of interest based on the determined first area of ​​interest.

[0055] Since the first display area with a longer duration often contains content that users are interested in, comparing the duration of the first display area with a preset threshold can filter out the first display area that users are more interested in, thereby enabling more accurate identification of users' points of interest.

[0056] On the other hand, in some cases, a user clicks to open a reference object, but when browsing the reference object, the user finds that the content contained in the reference object is not interesting. Therefore, the duration of any first display area in the reference object is less than a preset threshold. In this case, the relevant content of the reference object can be excluded when identifying the user's points of interest, thus avoiding misjudgment of the user's points of interest.

[0057] According to some embodiments, determining a user's point of interest based on the first display area corresponding to each of the plurality of first operations and the duration of the first display area may include: determining the first display area corresponding to each of the first operations of the plurality of first operations as a second region of interest, wherein the duration of each second region of interest is greater than the duration of the first display area corresponding to any other first operation in the plurality of first operations excluding the preset number of first operations; and determining the user's point of interest based on the determined second regions of interest.

[0058] This allows for the determination of a preset number of primary display areas that the user is most interested in among multiple primary display areas, thereby enabling more accurate identification of the user's points of interest.

[0059] According to some embodiments, determining a user's point of interest based on the first display area corresponding to each of the plurality of first operations and the duration of the first display area may include: performing content recognition on the first display area corresponding to each of the plurality of first operations; and determining the user's point of interest based on the recognition results of the first display area corresponding to each of the plurality of first operations. Content recognition may include image recognition, semantic recognition, etc., and is not limited thereto.

[0060] Figure 3 A flowchart of an object recommendation method according to an embodiment of the present disclosure is shown, such as... Figure 3 As shown, the object recommendation method includes: step S301, obtaining user information of the target user and object information of the object to be recommended, wherein the user information includes the target user's interest points determined according to any of the above methods; and step S302, determining the recommendation result for the object to be recommended based at least on the matching degree between the user information and the object information.

[0061] Since the interest points of the target user extracted by the above method can more accurately reflect the user's interests, using these interest points as one of the user information of the target user to perform object recommendation for the target user can improve the effectiveness of the recommendation.

[0062] According to some embodiments, the user information also includes geographic information, and wherein, at least based on the matching degree between the user information and the object information, determining the recommendation result for the object to be recommended includes: determining the first click-through rate of the object to be recommended within the geographic area represented by the geographic information; and determining the recommendation result for the object to be recommended based on the matching degree between the user information and the object information, and the first click-through rate of the object to be recommended. The user's geographic information can be determined through user input or by resolving the user's IP address.

[0063] Based on the first click rate of the object to be recommended within the geographical area represented by the geographic information, it is possible to determine whether the object to be recommended is a hot object in the target user's region. In this way, hot objects in the target user's region can be recommended to the target user in a timely manner, thereby improving the effectiveness of the recommendation.

[0064] According to some embodiments, the user information also includes occupational information, and wherein, at least based on the matching degree between the user information and the object information, determining the recommendation result for the object to be recommended includes: determining the second click-through rate of the object to be recommended in the user group with the occupational information; and determining the recommendation result for the object to be recommended based on the matching degree between the user information and the object information, and the second click-through rate of the object to be recommended.

[0065] Based on the second click rate of the target object among users with information about that profession, it is possible to determine whether the target object is a hot topic within that user group. This allows for timely recommendations of hot topics in the target user's profession field to the target user, thereby improving the effectiveness of the recommendations.

[0066] According to some embodiments, the system can prioritize recommending popular objects from the target user's geographical location or popular objects from the target user's professional field to the target user, and then recommend objects with a high degree of matching between user information and object information to the target user.

[0067] According to some embodiments, the matching degree between user information and object information is determined using a trained model. This model can, during application, adjust its parameters in reverse based on the target user's actions on objects recommended to that target user, thereby continuously improving the model's predictive performance regarding the matching degree between user information and object information.

[0068] Figure 4 A structural block diagram of an interest point identification device according to an embodiment of the present disclosure is shown, such as... Figure 4 As shown, the point of interest identification device 400 includes: a first determining unit 401 configured to determine multiple first operations performed by a user on a reference object during browsing of the reference object, wherein each of the multiple first operations can be used to update the real-time display area of ​​the reference object; a second determining unit 402 configured to determine, for each of the multiple first operations, a first display area of ​​the reference object corresponding to the first operation and the duration of the first display area, wherein the first display area corresponding to each first operation is obtained in response to updating the real-time display area of ​​the reference object in response to the first operation; and a third determining unit 403 configured to determine the user's point of interest based on the first display area corresponding to each of the multiple first operations and the duration of the first display area.

[0069] According to some embodiments, the third determining unit includes: a subunit for determining a central region in a first display area corresponding to each of the plurality of first operations; and a subunit for determining a user's point of interest based on the central region corresponding to each of the plurality of first operations and the duration of the central region.

[0070] According to some embodiments, the third determining unit includes: a subunit for determining a first display area as a first interest area for each of a plurality of first operations, in response to the duration of the first display area being greater than a preset threshold; and a subunit for determining the user's interest points based on the determined first interest area.

[0071] According to some embodiments, the third subunit includes: a subunit for determining a first display area corresponding to each of a preset number of first operations among a plurality of first operations as a second region of interest, wherein the duration of each second region of interest is greater than the duration of the first display area corresponding to any other first operation among the plurality of first operations besides the preset number of first operations; and a subunit for determining the user's point of interest based on the determined second region of interest.

[0072] According to some embodiments, the third subunit includes: a subunit for performing content recognition on a first display area corresponding to each of the plurality of first operations; and a subunit for determining the user's points of interest based on the recognition results of the first display area corresponding to each of the plurality of first operations.

[0073] According to some embodiments, the reference objects include documents.

[0074] Figure 5 A structural block diagram of an object recommendation apparatus according to an embodiment of the present disclosure is shown, such as... Figure 5 As shown, the object recommendation device 500 includes: an acquisition unit 501 configured to acquire user information of a target user and object information of an object to be recommended, wherein the user information includes the target user's interest points determined according to any of the above methods; and a fourth determination unit 502 configured to determine a recommendation result for the object to be recommended based at least on the matching degree between the user information and the object information.

[0075] According to some embodiments, the user information also includes geographic information, and wherein the fourth determining unit includes: a subunit for determining the first click-through rate of the object to be recommended within the geographic area represented by the geographic information; and a subunit for determining the recommendation result for the object to be recommended based on the matching degree between the user information and the object information, and the first click-through rate of the object to be recommended.

[0076] According to some embodiments, the user information also includes occupational information, and wherein the fourth determining unit includes: a subunit for determining the second click rate of the object to be recommended in a user group with occupational information; and a subunit for determining the recommendation result for the object to be recommended based on the matching degree between user information and object information, and the second click rate of the object to be recommended.

[0077] According to some embodiments, the degree of matching between user information and object information is determined using a trained model.

[0078] According to embodiments of this disclosure, an electronic device is also provided, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform any of the methods described above.

[0079] According to embodiments of this disclosure, a non-transitory computer-readable storage medium storing computer instructions is also provided, wherein the computer instructions are used to cause a computer to perform any of the methods described above.

[0080] According to embodiments of this disclosure, a computer program product is also provided, including a computer program, wherein the computer program implements any of the methods described above when executed by a processor.

[0081] refer to Figure 6 The present invention describes a structural block diagram of an electronic device 600 that can serve as a server or client of the present disclosure, which is an example of a hardware device that can be applied to various aspects of the present disclosure. The electronic device is intended to represent various forms of digital electronic computer devices, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the present disclosure described and / or claimed herein.

[0082] like Figure 6As shown, device 600 includes a computing unit 601, which can perform various appropriate actions and processes based on a computer program stored in read-only memory (ROM) 602 or a computer program loaded from storage unit 608 into random access memory (RAM) 603. RAM 603 may also store various programs and data required for the operation of device 600. The computing unit 601, ROM 602, and RAM 603 are interconnected via bus 604. Input / output (I / O) interface 605 is also connected to bus 604.

[0083] Multiple components in device 600 are connected to I / O interface 605, including: input unit 606, output unit 607, storage unit 608, and communication unit 609. Input unit 606 can be any type of device capable of inputting information to device 600. Input unit 606 can receive input numerical or character information and generate key signal inputs related to user settings and / or function control of the electronic device, and can include, but is not limited to, a mouse, keyboard, touchscreen, trackpad, trackball, joystick, microphone, and / or remote control. Output unit 607 can be any type of device capable of presenting information, and can include, but is not limited to, a monitor, speaker, video / audio output terminal, vibrator, and / or printer. Storage unit 608 can include, but is not limited to, a hard disk and an optical disk. Communication unit 609 allows device 600 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks, and can include, but is not limited to, modems, network cards, infrared communication devices, wireless communication transceivers, and / or chipsets, such as Bluetooth™ devices, 1302.11 devices, WiFi devices, WiMax devices, cellular communication devices, and / or the like.

[0084] The computing unit 601 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the computing unit 601 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 601 performs the various methods and processes described above, such as point-of-interest (POI) identification methods or object recommendation methods. For example, in some embodiments, the POI identification method or object recommendation method may be implemented as a computer software program tangibly contained in a machine-readable medium, such as storage unit 608. In some embodiments, part or all of the computer program may be loaded and / or installed on device 600 via ROM 602 and / or communication unit 609. When the computer program is loaded into RAM 603 and executed by the computing unit 601, one or more steps of the POI identification method or object recommendation method described above may be performed. Alternatively, in other embodiments, the computing unit 601 may be configured to perform an interest point identification method or an object recommendation method by any other suitable means (e.g., by means of firmware).

[0085] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0086] The program code used to implement the methods of this disclosure may be written in any combination of one or more programming languages. This program code may be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing apparatus, such that when executed by the processor or controller, the program code causes the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The program code may be executed entirely on a machine, partially on a machine, as a standalone software package partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0087] In the context of this disclosure, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0088] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device for displaying information to the user (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor); and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the computer. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0089] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as a data server), or computing systems that include middleware components (e.g., an application server), or computing systems that include frontend components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with embodiments of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., a communication network). Examples of communication networks include local area networks (LANs), wide area networks (WANs), and the Internet.

[0090] Computer systems can include clients and servers. Clients and servers are generally located far apart and typically interact via communication networks. Client-server relationships are created by computer programs running on the respective computers and having a client-server relationship with each other. Servers can be cloud servers, servers in distributed systems, or servers incorporating blockchain technology.

[0091] It should be understood that the various forms of processes shown above can be used to rearrange, add, or delete steps. For example, the steps described in this disclosure can be performed in parallel, sequentially, or in a different order, as long as the desired result of the technical solution disclosed in this disclosure can be achieved, and this is not limited herein.

[0092] While embodiments or examples of this disclosure have been described with reference to the accompanying drawings, it should be understood that the methods, systems, and devices described above are merely exemplary embodiments or examples, and the scope of the invention is not limited by these embodiments or examples, but only by the granted claims and their equivalents. Various elements in the embodiments or examples may be omitted or replaced by their equivalents. Furthermore, the steps may be performed in a different order than that described in this disclosure. Further, various elements in the embodiments or examples may be combined in various ways. Importantly, as the technology evolves, many elements described herein can be replaced by equivalents that appear after this disclosure.

Claims

1. A method for identifying points of interest, comprising: A plurality of first operations performed by a user on a reference object during the browsing process are determined, wherein each of the plurality of first operations can be used to update the real-time display area of ​​the reference object; For each of the plurality of first operations, a first display area of ​​the reference object corresponding to that first operation and a duration of the first display area are determined, wherein the first display area corresponding to each first operation is obtained in response to updating the real-time display area of ​​the reference object in response to that first operation, and the duration is determined based on the time interval between the corresponding first operation and the next first operation; and Based on the first display area corresponding to each of the plurality of first operations and the duration of that first display area, the user's point of interest is determined, including: For each of the plurality of first operations, a central region within the first display area corresponding to each first operation is determined. The reference object includes a document, and the first display area corresponding to each first operation is a portion of the text area within the document. Determining the central region within the first display area includes: The vertical coordinate of the center character in the first display area is determined based on the height of the first display area and the total length of the current document scroll. When the reference object includes a top area that does not change with document scrolling, the vertical coordinate of the center character is further corrected based on the height of the top area. Traverse the position coordinates of each character in the reference object, and determine that the character belongs to the center region of the first display area if the difference between the ordinate of the character's position coordinates and the ordinate of the center character is less than a preset threshold; and Based on the central region corresponding to each of the plurality of first operations and the duration of that central region, the user's point of interest is determined, including: The central region corresponding to each of the predetermined number of first operations in the plurality of first operations is determined as a region of interest, wherein the duration of each region of interest is greater than the duration of the first display area corresponding to any other first operation in the plurality of first operations excluding the predetermined number of first operations; and Based on the identified region of interest, the user's points of interest are determined.

2. The method according to claim 1, wherein, The step of determining the user's point of interest based on the first display area corresponding to each of the plurality of first operations and the duration of the first display area includes: For each of the plurality of first operations, corresponding to a first display area, in response to the duration of the first display area exceeding a preset threshold, the first display area is determined as a first region of interest; and Based on the determined first region of interest, the user's points of interest are determined.

3. The method according to claim 1 or 2, wherein, The step of determining the user's point of interest based on the first display area corresponding to each of the plurality of first operations and the duration of the first display area includes: Content recognition is performed on the first display area corresponding to each of the plurality of first operations; and Based on the recognition results of the first display area corresponding to each of the plurality of first operations, the user's point of interest is determined.

4. An object recommendation method, comprising: Obtain user information of the target user and object information of the objects to be recommended, wherein the user information includes the target user's interest points determined by the method according to any one of claims 1 to 3; and The recommendation result for the object to be recommended is determined based at least on the matching degree between the user information and the object information.

5. The method according to claim 4, wherein, The user information also includes geographic information, and wherein determining the recommendation result for the object to be recommended, based at least on the matching degree between the user information and the object information, includes: Determine the first click-through rate of the recommended object within the geographical area represented by the geographical information; and Based on the matching degree between the user information and the object information, and the first click-through rate of the object to be recommended, the recommendation result for the object to be recommended is determined.

6. The method according to claim 4 or 5, wherein, The user information also includes occupational information, and wherein determining the recommendation result for the object to be recommended, based at least on the matching degree between the user information and the object information, includes: Determine the second click-through rate of the target user within the user group possessing the occupational information; and Based on the matching degree between the user information and the object information, and the second click rate of the object to be recommended, the recommendation result for the object to be recommended is determined.

7. The method according to claim 4 or 5, wherein, The matching degree between the user information and the object information is determined using a trained model.

8. An interest point identification device, comprising: A first determining unit is configured to determine multiple first operations performed by a user on a reference object during the browsing process, wherein each of the multiple first operations can be used to update the real-time display area of ​​the reference object. The second determining unit is configured to, for each of the plurality of first operations, determine a first display area of ​​the reference object corresponding to that first operation and a duration of the first display area, wherein the first display area corresponding to each first operation is obtained in response to updating the real-time display area of ​​the reference object in response to that first operation, and the duration is determined based on the time interval between the corresponding first operation and the next first operation; and The third determining unit is configured to determine the user's point of interest based on the first display area corresponding to each of the plurality of first operations and the duration of the first display area, including: For each of the plurality of first operations, a sub-unit is used to determine the central region of the first display area corresponding to the first display area, wherein the reference object includes a document, and the first display area corresponding to each of the plurality of first operations is a portion of the text area in the document, and determining the central region of the first display area includes: The vertical coordinate of the center character in the first display area is determined based on the height of the first display area and the total length of the current document scroll. When the reference object includes a top area that does not change with document scrolling, the vertical coordinate of the center character is further corrected based on the height of the top area. Traverse the position coordinates of each character in the reference object, and determine that the character belongs to the center region of the first display area if the difference between the ordinate of the character's position coordinates and the ordinate of the center character is less than a preset threshold; and The subunit for determining the user's point of interest based on the central region corresponding to each of the plurality of first operations and the duration of that central region is configured as follows: The central region corresponding to each of the predetermined number of first operations in the plurality of first operations is determined as a region of interest, wherein the duration of each region of interest is greater than the duration of the first display area corresponding to any other first operation in the plurality of first operations excluding the predetermined number of first operations; and Based on the identified region of interest, the user's points of interest are determined.

9. The apparatus according to claim 8, wherein, The third determining unit includes: For each of the plurality of first operations, the first display area corresponding to the first display area is used to determine the first display area as a sub-unit of the first interest region in response to the duration of the first display area being greater than a preset threshold; and Subunits used to determine the user's points of interest based on a determined first region of interest.

10. The apparatus according to claim 8 or 9, wherein, The third determining unit includes: A subunit for performing content recognition on the first display area corresponding to each of the plurality of first operations; and A subunit for determining the user's point of interest based on the recognition result of the first display area corresponding to each of the plurality of first operations.

11. An object recommendation device, comprising: The acquisition unit is configured to acquire user information of a target user and object information of a target object, wherein the user information includes the target user's interest points as determined by the method according to any one of claims 1 to 3; and The fourth determining unit is configured to determine a recommendation result for the object to be recommended, based at least on the matching degree between the user information and the object information.

12. The apparatus according to claim 11, wherein, The user information also includes geographic information, and the fourth determining unit includes: A sub-unit for determining the first click-through rate of the recommended object within the geographical area represented by the geographical information; and A subunit for determining the recommendation result for the object to be recommended based on the matching degree between the user information and the object information, and the first click rate of the object to be recommended.

13. The apparatus according to claim 11 or 12, wherein, The user information also includes occupational information, and the fourth determining unit includes: A subunit for determining the second click-through rate of the recommended object within the user group possessing the occupational information; and A subunit used to determine the recommendation result for the object to be recommended based on the matching degree between the user information and the object information, and the second click rate of the object to be recommended.

14. The apparatus according to claim 11 or 12, wherein, The matching degree between the user information and the object information is determined using a trained model.

15. An electronic device comprising: At least one processor; as well as A memory that is communicatively connected to the at least one processor; in The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-7.

16. A non-transitory computer-readable storage medium storing computer instructions, wherein, The computer instructions are used to cause the computer to perform the method according to any one of claims 1-7.

17. A computer program product comprising a computer program, wherein, The computer program, when executed by a processor, implements the method of any one of claims 1-7.

Images