CN114547455B - Method and device for determining hot object, storage medium and electronic equipment - Google Patents
Method and device for determining hot object, storage medium and electronic equipment Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 56
- 230000006399 behavior Effects 0.000 claims description 72
- 230000008014 freezing Effects 0.000 claims description 13
- 238000007710 freezing Methods 0.000 claims description 13
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- 230000007423 decrease Effects 0.000 claims description 3
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- 238000010586 diagram Methods 0.000 description 8
- 230000008901 benefit Effects 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
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- 238000012986 modification Methods 0.000 description 2
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- 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
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- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
Abstract
The invention relates to a method and a device for determining a hot object, a storage medium and electronic equipment, which are used for solving the problems in the related art. The hot object determining method comprises the following steps: according to a preset period, the behavior times of a plurality of candidate objects are obtained; determining a frequency threshold according to the behavior frequency of each candidate object; determining a heat value of each candidate object according to the frequency threshold and the behavior frequency of the candidate object; and selecting a hot object from the plurality of candidate objects according to the hot value of each candidate object. According to the method, the popularity value of the candidate object is determined according to the behavior times of the candidate object, so that the popularity object is determined, meanwhile, the popularity value of the object in the popularity object is dynamically adjusted in real time, the popularity object always keeps flowing, the singular quantity of companies is balanced, and meanwhile, the use experience of users is improved.
Description
Technical Field
The present invention relates to the field of network technologies, and in particular, to a method and apparatus for determining a popular object, a storage medium, and an electronic device.
Background
In the business scenario of the CRM system, a real-time recommendation system is often used to recommend temporary interest points of the user in real time, and then the user needs to use the popular company treasurer. The problem solved by the popular company treasurer is that in a scene requiring real-time feedback, the duration of recall ordering of the full-quantity company is unacceptable; meanwhile, in order to improve user experience and popularization requirements, a group of companies which a customer hopes to see needs to be maintained. Driven by such technology and business requirements, a high quality hot plug treasurer is important.
In the traditional method, the definition of "hot" is that the hot degree is higher, so that the preset companies with Top ranking are taken as hot library data according to the number of searched, clicked and ordered companies from large to small; or more simply, in order of company size, registered capital, etc., larger companies are intuitively considered to be more likely to become a list, and such a popular library determined based on only company size, registered capital, etc., may also result in some companies being long term overlord.
Disclosure of Invention
The problem to be solved by the invention includes how to determine a high quality hot object.
The present invention has been made to solve the above-described technical problems such as how to determine a high-quality hot object.
The embodiment of the invention provides a hot object determining method, which comprises the following steps:
According to a preset period, the behavior times of a plurality of candidate objects are obtained;
Determining a frequency threshold according to the behavior frequency of each candidate object; for each of the candidates: determining a heat value of the candidate object according to the frequency threshold and the behavior frequency of the candidate object;
selecting a hot object from the plurality of candidate objects according to the hot value of each candidate object;
wherein when the number of actions is less than the number of actions threshold, the candidate object's heat value increases with an increase in the number of actions, and when the number of actions is greater than the number of actions threshold, the candidate object's heat value decreases with an increase in the number of actions.
Optionally, the method further comprises:
acquiring operation data of a plurality of objects;
calculating a quality score for each of the objects according to the business data;
selecting the candidate objects from the objects according to the order of the quality scores from high to low;
and/or the number of the groups of groups,
Further comprises:
acquiring operation data of a plurality of objects;
Business data for each of the objects: extracting a plurality of characteristics and characteristic values from the operation data; and matching the plurality of features and the feature values thereof with a preset feature template, and if the matching is successful, determining the object as the candidate object.
Optionally, the determining the frequency threshold according to the frequency of the behaviors of each candidate object includes:
the frequency threshold is determined as follows: setting any one of the mode, the median and the average number of the behavior times of the plurality of candidate objects in the time period.
Optionally, after the obtaining the number of behaviors of the plurality of candidate objects, the method further includes:
For each of the candidates: determining whether the number of times of the behavior of the candidate object meets a preset freezing condition, if so, determining that the heat value of the candidate object is 0, otherwise, executing the operation according to the number of times threshold and the number of times of the behavior of the candidate object, and determining the heat value of the candidate object;
the selecting hot objects from the plurality of candidate objects according to the hot value of each candidate object comprises the following steps:
and selecting a hot object from the candidate objects with the hot value not being 0 according to the hot value of each candidate object.
Optionally, after the determining that the candidate has a heat value of 0, the method further includes:
and responding to a search request of a user for the candidate object, and selecting the candidate object as the hot object.
Optionally, the selecting a hot object from the plurality of candidate objects according to the hot value of each candidate object includes:
the candidates are sorted in order of high-to-low heat value,
And selecting hot objects from the candidate objects according to the sorting result and a preset business demand object list.
Optionally, the number of actions includes: number of times contacted, and/or number of times in a single.
Optionally, the determining the heat value of the candidate object according to the frequency threshold and the frequency of the behavior of the candidate object includes:
calculating a heat value of the candidate object based on formula 1 or formula 2 in response to the number of behaviors of the candidate object being less than the number threshold;
Equation 1:
Equation 2:
Wherein S is used to characterize the heat value of the candidate object, C is used to characterize the number of times of behavior of the candidate object, C 0 is used to characterize the number of times threshold, and a is any real number greater than 5.
Optionally, the determining the heat value of the candidate object according to the frequency threshold and the frequency of the behavior of the candidate object includes:
In response to the number of behaviors of the candidate object being greater than the number threshold, calculating a heat value of the candidate object based on equation 3 or equation 4;
Equation 3:
equation 4:
Wherein S is used to characterize the heat value of the candidate object, C is used to characterize the number of times of behavior of the candidate object, C 0 is used to characterize the number of times threshold, and a is any real number greater than 5.
According to another aspect of an embodiment of the present invention, there is provided a hot object determining apparatus including:
the acquisition module is used for acquiring the behavior times of a plurality of candidate objects according to a preset period;
the determining module is used for determining a frequency threshold according to the frequency of behaviors of each candidate object; the method is also used for determining the heat value of each candidate object according to the frequency threshold and the behavior frequency of the candidate object;
And the selection module is used for selecting a hot object from the plurality of candidate objects according to the hot value of each candidate object.
According to still another aspect of an embodiment of the present invention, there is provided an electronic apparatus including: a processor and a memory; wherein,
The memory is configured to store the processor-executable instructions;
The processor is configured to read the executable instructions from the memory and execute the instructions to implement the method according to any of the foregoing embodiments of the present invention.
According to a further aspect of an embodiment of the present invention, there is provided a computer readable storage medium, characterized in that the computer readable storage medium stores a computer program for executing the method according to any of the above embodiments.
Based on the method and the device for determining the hot object, the storage medium and the electronic equipment provided by the embodiment of the invention, the behavior times of a plurality of candidate objects are obtained according to a preset period; determining a frequency threshold according to the behavior frequency of each candidate object; determining a heat value of each candidate object according to the frequency threshold and the behavior frequency of the candidate object; and selecting a hot object from the plurality of candidate objects according to the hot value of each candidate object. According to the method, the popularity value of the candidate object is determined according to the behavior times of the candidate object, so that the popularity object is determined, meanwhile, the popularity value of the object in the popularity object is dynamically adjusted in real time, so that the popularity object always keeps flowing, the singular number of the object in the popularity object is balanced, and meanwhile, the use experience of a user is improved.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate the invention and together with the description serve to explain, without limitation, the invention. In the drawings:
Fig. 1 is a flowchart of a hot object determining method according to an exemplary embodiment of the present invention.
Fig. 2 is a flowchart of another method for determining a hot object according to an exemplary embodiment of the present invention.
Fig. 3 is a block diagram of a hot object determining apparatus according to an exemplary embodiment of the present invention.
Fig. 4 is a block diagram of an electronic device according to an exemplary embodiment of the present invention.
Detailed Description
Hereinafter, exemplary embodiments according to the present invention will be described in detail with reference to the accompanying drawings. It should be apparent that the described embodiments are only some embodiments of the present invention and not all embodiments of the present invention, and it should be understood that the present invention is not limited by the example embodiments described herein.
It should be noted that: the relative arrangement of the components and steps, numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present invention unless it is specifically stated otherwise.
It will be appreciated by those of skill in the art that the terms "first," "second," etc. in embodiments of the present invention are used merely to distinguish between different steps, devices or modules, etc., and do not represent any particular technical meaning nor necessarily logical order between them.
It should also be understood that in embodiments of the present invention, "plurality" may refer to two or more, and "at least one" may refer to one, two or more.
It should also be appreciated that any component, data, or structure referred to in an embodiment of the invention may be generally understood as one or more without explicit limitation or the contrary in the context.
In addition, the term "and/or" in the present invention is merely an association relationship describing the association object, and indicates that three relationships may exist, for example, a and/or B may indicate: a exists alone, A and B exist together, and B exists alone. In the present invention, the character "/" generally indicates that the front and rear related objects are an or relationship.
It should also be understood that the description of the embodiments of the present invention emphasizes the differences between the embodiments, and that the same or similar features may be referred to each other, and for brevity, will not be described in detail.
Meanwhile, it should be understood that the sizes of the respective parts shown in the drawings are not drawn in actual scale for convenience of description.
The following description of at least one exemplary embodiment is merely exemplary in nature and is in no way intended to limit the invention, its application, or uses.
Techniques, methods, and apparatus known to one of ordinary skill in the relevant art may not be discussed in detail, but where appropriate, the techniques, methods, and apparatus should be considered part of the specification.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further discussion thereof is necessary in subsequent figures.
Embodiments of the invention are operational with numerous other general purpose or special purpose computing system environments or configurations with electronic devices, such as terminal devices, computer systems, servers, etc. Examples of well known terminal devices, computing systems, environments, and/or configurations that may be suitable for use with the terminal device, computer system, server, or other electronic device include, but are not limited to: personal computer systems, server computer systems, thin clients, thick clients, hand-held or laptop devices, microprocessor-based systems, set-top boxes, programmable consumer electronics, network personal computers, small computer systems, mainframe computer systems, and distributed cloud computing technology environments that include any of the foregoing, and the like.
Electronic devices such as terminal devices, computer systems, servers, etc. may be described in the general context of computer system-executable instructions, such as program modules, being executed by a computer system. Generally, program modules may include routines, programs, objects, components, logic, data structures, etc., that perform particular tasks or implement particular abstract data types. The computer system/server may be implemented in a distributed cloud computing environment in which tasks are performed by remote processing devices that are linked through a communications network. In a distributed cloud computing environment, program modules may be located in both local and remote computing system storage media including memory storage devices.
Exemplary method
Fig. 1 is a flowchart of a hot object determination method 100 according to an exemplary embodiment of the present invention. The embodiment can be applied to an electronic device, as shown in fig. 1, and includes the following steps:
Step 101, according to a preset period, obtaining the behavior times of a plurality of candidate objects;
in this embodiment, the preset period is specifically a fixed duration, for example, 30 days;
In this embodiment, the number of behaviors includes: number of times contacted, and/or number of times in a single.
Optionally, after obtaining the number of behaviors of the plurality of candidate objects, the method further includes:
For each of the candidates: determining whether the number of times of the behavior of the candidate object meets a preset freezing condition, if so, determining that the heat value of the candidate object is 0, otherwise, executing the operation according to the number of times threshold and the number of times of the behavior of the candidate object, and determining the heat value of the candidate object;
the selecting hot objects from the plurality of candidate objects according to the hot value of each candidate object comprises the following steps:
and selecting a hot object from the candidate objects with the hot value not being 0 according to the hot value of each candidate object.
After the determining that the candidate has a heat value of 0, further comprising:
and responding to a search request of a user for the candidate object, and selecting the candidate object as the hot object.
In an application scenario, a freezing condition is set first, specifically, a threshold of the number of times of being contacted in the freezing condition is set as c_ frozen, and a threshold of the number of times of being contacted in the freezing condition is set as d_ frozen;
Judging that when the contacted times C is larger than a contacted times threshold C_ frozen in the freezing condition and the single times D is smaller than a single times threshold D_ frozen in the freezing condition, determining and adjusting the heat value to 0; or when the divisor of the contacted times C/the single times D is larger than the divisor of the contacted times threshold C_ frozen in the freezing condition/the single times threshold D_ frozen in the freezing condition, the heat value is determined and adjusted to be 0; when the heat value is 0, namely freezing, namely in the case that the candidate object is difficult to screen and enter a hot object, searching only occurs through user specification (thawing is realized), if freezing exceeds a time threshold time_ frozen, a high-quality candidate library is removed, and the heat value of a company is dynamically adjusted in real time in the mode, so that the hot library always keeps flowing.
Step 102, determining a frequency threshold according to the frequency of behaviors of each candidate object;
in this embodiment, the step 102 specifically includes: and determining the frequency threshold as any one of the mode, the median and the average of the behavior frequency of the plurality of candidate objects in the set time period.
Illustratively, in an application scenario, count the number of times C that each company is contacted and the number of times D that each company is ordered in M days in a certain system; determining a contacted number threshold c_thresh, in particular by using the mode in the C distribution, or by means of an average, or by means of a median; the single count threshold d_thresh is determined, specifically, by using the mode in the D distribution, or by an average value, or by a median value.
Step 103, determining a heat value of each candidate object according to the frequency threshold and the behavior frequency of the candidate object;
The determining the heat value of the candidate object according to the frequency threshold and the behavior frequency of the candidate object comprises the following steps:
calculating a heat value of the candidate object based on formula 1 or formula 2 in response to the number of behaviors of the candidate object being less than the number threshold;
Equation 1:
Equation 2:
Wherein S is used to characterize the heat value of the candidate object, C is used to characterize the number of times of behavior of the candidate object, C 0 is used to characterize the number of times threshold, and a is any real number greater than 5.
The determining the heat value of the candidate object according to the frequency threshold and the behavior frequency of the candidate object comprises the following steps:
In response to the number of behaviors of the candidate object being greater than the number threshold, calculating a heat value of the candidate object based on equation 3 or equation 4;
Equation 3:
equation 4:
Wherein S is used to characterize the heat value of the candidate object, C is used to characterize the number of times of behavior of the candidate object, C 0 is used to characterize the number of times threshold, and a is any real number greater than 5.
Step 104, selecting a hot object from the plurality of candidate objects according to the hot value of each candidate object.
The selecting hot objects from the plurality of candidate objects according to the hot value of each candidate object comprises the following steps:
ordering the candidate objects according to the order of the heat value from high to low;
And selecting hot objects from the candidate objects according to the sorting result and a preset business demand object list.
Optionally, in this embodiment, fig. 2 is a schematic diagram of a method for determining a hot object according to an exemplary embodiment of the present invention, specifically, a schematic diagram of a candidate object determining method in a method for determining a hot object. The embodiment can be applied to an electronic device, as shown in fig. 2, and includes the following steps:
step 201, obtaining operation data of a plurality of objects;
step 202, calculating the quality scores of the objects according to the business data;
step 203, selecting the candidate objects from the objects according to the order of the quality scores from high to low;
optionally, in this embodiment, the candidate object determining method in the hot object determining method includes:
acquiring operation data of a plurality of objects;
Business data for each of the objects: extracting a plurality of characteristics and characteristic values from the operation data; and matching the plurality of features and the feature values thereof with a preset feature template, and if the matching is successful, determining the object as the candidate object.
The method of the invention determines the popularity value of the candidate object according to the behavior times of the candidate object, thereby determining the popularity object, and dynamically adjusting the company popularity value in real time at the same time, so that the popularity object always keeps flowing, and the use experience of a user is improved while the number of the companies is balanced.
Exemplary apparatus
Fig. 3 is a schematic structural diagram of a hot object determining apparatus 300 according to an exemplary embodiment of the present invention. As shown in fig. 3, the hot object determining apparatus 300 of the present embodiment includes:
the first obtaining module 301 is configured to obtain the number of behavior times of a plurality of candidate objects according to a preset period;
a first determining module 302, configured to determine a frequency threshold according to the number of behaviors of each candidate object;
A second determining module 303, configured to determine, for each candidate object, a heat value of the candidate object according to the frequency threshold and the number of behaviors of the candidate object;
a first selection module 304, configured to select a hot object from the plurality of candidate objects according to the hot value of each candidate object.
Optionally, the apparatus further comprises: a third determination module and a fourth determination module;
the third determining module is used for acquiring the operation data of a plurality of objects; and further for calculating a quality score for each of the objects based on the business data; and further for selecting said plurality of candidate objects from said plurality of objects in order of said quality score from high to low;
The fourth determining module is used for acquiring the operation data of a plurality of objects; the system is also used for extracting a plurality of characteristics and characteristic values thereof from the management data aiming at the management data of each object; and the method is also used for matching the plurality of features and the feature values thereof with a preset feature template, and if the matching is successful, determining that the object is the candidate object.
Optionally, the first determining module 302 is specifically configured to determine the number of times threshold to be any one of a mode, a median, and an average of the number of behaviors of the plurality of candidate objects in the set period of time.
Optionally, the apparatus further comprises a fifth determining module for, for each of the candidate objects: determining whether the number of times of the behavior of the candidate object meets a preset freezing condition, if so, determining that the heat value of the candidate object is 0, otherwise, executing the operation according to the number of times threshold and the number of times of the behavior of the candidate object, and determining the heat value of the candidate object;
Specifically, the first selection module 304 is specifically configured to select a hot object from candidate objects with a hot value different from 0 according to the hot value of each candidate object.
Preferably, the fifth determining module includes a selecting unit configured to select the candidate object as the popular object in response to a search request for the candidate object by a user.
Optionally, the first selection module 304 is specifically configured to sort the candidate objects according to the order of the heat value from high to low, and select a hot object from the plurality of candidate objects according to the sorting result and a preset service requirement object list.
Optionally, the number of actions includes: number of times contacted, and/or number of times in a single.
Optionally, the second determining module 303 is specifically configured to calculate, based on formula 1 or formula 2, a heat value of the candidate object in response to the number of behaviors of the candidate object being less than the number threshold;
Wherein, formula 1:
Equation 2:
Wherein S is used to characterize the heat value of the candidate object, C is used to characterize the number of times of behavior of the candidate object, C 0 is used to characterize the number of times threshold, and a is any real number greater than 5.
Optionally, the second determining module 303 is specifically configured to calculate the heat value of the candidate object based on formula 3 or formula 4 in response to the number of behaviors of the candidate object being greater than the number threshold;
Equation 3:
equation 4:
Wherein S is used to characterize the heat value of the candidate object, C is used to characterize the number of times of behavior of the candidate object, C 0 is used to characterize the number of times threshold, and a is any real number greater than 5.
Exemplary electronic device
Fig. 4 is a structure of an electronic device provided in an exemplary embodiment of the present invention. The electronic device may be either or both of the first device and the second device, or a stand-alone device independent thereof, which may communicate with the first device and the second device to receive the acquired input signals therefrom. Fig. 4 illustrates a block diagram of an electronic device according to an embodiment of the invention. As shown in fig. 4, electronic device 400 includes one or more processors 401 and memory 402.
The processor 401 may be a Central Processing Unit (CPU) or other form of processing unit having data processing capabilities and/or instruction execution capabilities and may control other components in the electronic device to perform desired functions.
Memory 402 may include one or more computer programs, which may include various forms of computer-readable storage media, such as volatile memory and/or non-volatile memory. The volatile memory may include, for example, random Access Memory (RAM) and/or cache memory (cache), and the like. The non-volatile memory may include, for example, read Only Memory (ROM), hard disk, flash memory, and the like. One or more computer program instructions may be stored on the computer readable storage medium that can be executed by the processor 401 to implement the hot object determination method and/or other desired functions of the various embodiments of the present invention described above. In one example, the electronic device may further include: an input device 403 and an output device 404, which are interconnected by a bus system and/or other forms of connection mechanisms (not shown).
In addition, the input device 403 may also include, for example, a keyboard, a mouse, and the like.
The output device 404 can output various information to the outside. The output devices 404 may include, for example, a display, speakers, a printer, and a communication network and remote output devices connected thereto, etc.
Of course, only some of the components of the electronic device that are relevant to the present invention are shown in fig. 4 for simplicity, components such as buses, input/output interfaces, etc. being omitted. In addition, the electronic device may include any other suitable components depending on the particular application.
Exemplary computer program product and computer readable storage Medium
In addition to the methods and apparatus described above, embodiments of the invention may also be a computer program product comprising computer program instructions which, when executed by a processor, cause the processor to perform the steps in a hot object determination method according to various embodiments of the invention described in the "exemplary methods" section of this specification.
The computer program product may write program code for performing operations of embodiments of the present invention in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server.
Furthermore, embodiments of the present invention may also be a computer-readable storage medium, having stored thereon computer program instructions, which when executed by a processor, cause the processor to perform the steps in a hot object determination method according to various embodiments of the present invention described in the "exemplary method" section above in the present specification.
The computer readable storage medium may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may include, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, 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), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The basic principles of the present invention have been described above in connection with specific embodiments, but it should be noted that the advantages, benefits, effects, etc. mentioned in the present invention are merely examples and not intended to be limiting, and these advantages, benefits, effects, etc. are not to be construed as necessarily possessed by the various embodiments of the invention. Furthermore, the specific details disclosed herein are for purposes of illustration and understanding only, and are not intended to be limiting, as the invention is not necessarily limited to practice with the above described specific details.
In this specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different manner from other embodiments, so that the same or similar parts between the embodiments are mutually referred to. For system embodiments, the description is relatively simple as it essentially corresponds to method embodiments, and reference should be made to the description of method embodiments for relevant points.
The block diagrams of the devices, apparatuses, devices, systems referred to in the present invention are only illustrative examples and are not intended to require or imply that the connections, arrangements, configurations must be made in the manner shown in the block diagrams. As will be appreciated by one of skill in the art, the devices, apparatuses, devices, systems may be connected, arranged, configured in any manner. Words such as "including," "comprising," "having," and the like are words of openness and mean "including but not limited to," and are used interchangeably therewith. The terms "or" and "as used herein refer to and are used interchangeably with the term" and/or "unless the context clearly indicates otherwise. The term "such as" as used herein refers to, and is used interchangeably with, the phrase "such as, but not limited to.
The method and apparatus of the present invention may be implemented in a number of ways. For example, the methods and apparatus of the present invention may be implemented by software, hardware, firmware, or any combination of software, hardware, firmware. The above-described sequence of steps for the method is for illustration only, and the steps of the method of the present invention are not limited to the sequence specifically described above unless specifically stated otherwise. Furthermore, in some embodiments, the present invention may also be embodied as programs recorded in a recording medium, the programs including machine-readable instructions for implementing the methods according to the present invention. Thus, the present invention also covers a recording medium storing a program for executing the method according to the present invention.
It is also noted that in the apparatus, devices and methods of the present invention, the components or steps may be disassembled and/or assembled. Such decomposition and/or recombination should be considered as equivalent aspects of the present invention. The previous description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these aspects will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other aspects without departing from the scope of the invention. Thus, the present invention is not intended to be limited to the aspects shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
The foregoing description has been presented for purposes of illustration and description. Furthermore, this description is not intended to limit embodiments of the invention to the form disclosed herein. Although a number of example aspects and embodiments have been discussed above, a person of ordinary skill in the art will recognize certain variations, modifications, alterations, additions, and subcombinations thereof.
Claims (9)
1. A method for determining a hot object, comprising:
According to a preset period, the behavior times of a plurality of candidate objects are obtained;
Determining a frequency threshold according to the frequency of the behaviors of each candidate object, wherein the frequency threshold comprises the following steps: determining the frequency threshold as any one of a mode, a median and an average of the behavior frequency of the plurality of candidate objects in a set time period; determining a heat value of each candidate object according to the frequency threshold and the behavior frequency of the candidate object;
selecting a hot object from the plurality of candidate objects according to the hot value of each candidate object;
wherein when the number of behaviors is smaller than the number of times threshold, the heat value of the candidate object increases with the increase of the number of behaviors, and when the number of behaviors is larger than the number of times threshold, the heat value of the candidate object decreases with the increase of the number of behaviors;
The determining the heat value of the candidate object according to the frequency threshold and the behavior frequency of the candidate object comprises the following steps:
calculating a heat value of the candidate object based on formula 1 or formula 2 in response to the number of behaviors of the candidate object being less than the number threshold;
Equation 1:
Equation 2:
In response to the number of behaviors of the candidate object being greater than the number threshold, calculating a heat value of the candidate object based on equation 3 or equation 4;
Equation 3:
equation 4:
Wherein S is used to characterize the heat value of the candidate object, C is used to characterize the number of times of behavior of the candidate object, C 0 is used to characterize the number of times threshold, and a is any real number greater than 5.
2. The method of claim 1, wherein the step of determining the position of the substrate comprises,
Further comprises:
acquiring operation data of a plurality of objects;
calculating a quality score for each of the objects according to the business data;
selecting the candidate objects from the objects according to the order of the quality scores from high to low;
and/or the number of the groups of groups,
Further comprises:
acquiring operation data of a plurality of objects;
Business data for each of the objects: extracting a plurality of characteristics and characteristic values from the operation data; and matching the plurality of features and the feature values thereof with a preset feature template, and if the matching is successful, determining the object as the candidate object.
3. The method of claim 1, wherein the step of determining the position of the substrate comprises,
After the number of actions of the plurality of candidate objects is obtained, further comprising:
For each of the candidates: determining whether the number of times of the behavior of the candidate object meets a preset freezing condition, if so, determining that the heat value of the candidate object is 0, otherwise, executing the operation according to the number of times threshold and the number of times of the behavior of the candidate object, and determining the heat value of the candidate object;
the selecting hot objects from the plurality of candidate objects according to the hot value of each candidate object comprises the following steps:
and selecting a hot object from the candidate objects with the hot value not being 0 according to the hot value of each candidate object.
4. The method of claim 3, wherein the step of,
After the determining that the candidate has a heat value of 0, further comprising:
and responding to a search request of a user for the candidate object, and selecting the candidate object as the hot object.
5. The method of claim 1, wherein the step of determining the position of the substrate comprises,
The selecting hot objects from the plurality of candidate objects according to the hot value of each candidate object comprises the following steps:
ordering the candidate objects according to the order of the heat value from high to low;
And selecting hot objects from the candidate objects according to the sorting result and a preset business demand object list.
6. The method of claim 1, wherein the step of determining the position of the substrate comprises,
The number of actions includes: number of times contacted, and/or number of times in a single.
7. A hot object determination apparatus, the apparatus comprising:
the acquisition module is used for acquiring the behavior times of a plurality of candidate objects according to a preset period;
The determining module is used for determining a frequency threshold according to the frequency of behaviors of each candidate object, and comprises the following steps: determining the frequency threshold as any one of a mode, a median and an average of the behavior frequency of the plurality of candidate objects in a set time period; the method is also used for determining the heat value of each candidate object according to the frequency threshold and the behavior frequency of the candidate object; wherein when the number of behaviors is smaller than the number of times threshold, the heat value of the candidate object increases with the increase of the number of behaviors, and when the number of behaviors is larger than the number of times threshold, the heat value of the candidate object decreases with the increase of the number of behaviors; the determining the heat value of the candidate object according to the frequency threshold and the behavior frequency of the candidate object comprises the following steps:
calculating a heat value of the candidate object based on formula 1 or formula 2 in response to the number of behaviors of the candidate object being less than the number threshold;
Equation 1:
Equation 2:
In response to the number of behaviors of the candidate object being greater than the number threshold, calculating a heat value of the candidate object based on equation 3 or equation 4;
Equation 3:
equation 4:
Wherein S is used to characterize the heat value of the candidate object, C is used to characterize the number of times of behavior of the candidate object, C 0 is used to characterize the number of times threshold, a is any real number greater than 5;
And the selection module is used for selecting a hot object from the plurality of candidate objects according to the hot value of each candidate object.
8. A non-transitory computer readable storage medium having stored thereon a computer program, characterized in that the program when executed by a processor realizes the steps of the method according to any of claims 1-6.
9. An electronic device, comprising:
a memory having a computer program stored thereon;
A processor for executing the computer program in the memory to implement the steps of the method of any one of claims 1-6.
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