CN112231585A - Recommendation information display method, device, equipment and computer readable medium - Google Patents
Recommendation information display method, device, equipment and computer readable medium Download PDFInfo
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Abstract
The embodiment of the disclosure discloses a recommendation information display method, a recommendation information display device, recommendation information display equipment and a computer readable medium. One embodiment of the method comprises: acquiring a value transfer related information set; generating a value transfer weight, a to-be-priced value transfer weight and a price related weight based on the value transfer related information set; based on the value transfer weight, the to-be-priced value transfer weight and the price related weight, carrying out user activity detection on each value transfer related information in the value transfer related information set to generate user activity information; carrying out value demand detection on each user activity information in the user activity information set to generate user value demand information; and pushing each user value demand information in the user value demand information set to a target terminal corresponding to the user value demand information for display. The embodiment improves the turnover rate of related articles and avoids the related resource waste caused by the rotting and deterioration of the related articles.
Description
Technical Field
The embodiment of the disclosure relates to the technical field of computers, in particular to a recommendation information display method, device, equipment and computer readable medium.
Background
The recommended information display technology is a technology for pushing information which may be needed to a user to attract the user to perform related operations. At present, in the prior art, enterprises and merchants often recommend information on a large scale through mobile phone software installed on smart phones through social platforms, information aggregation platforms, e-commerce platforms, financial platforms, and the like.
However, when the article information is displayed in the above manner, there are often the following technical problems:
firstly, when the recommendation information is sent, the requirements of the user are less considered, so that the recommendation information is difficult to meet the requirements of the user, the user is difficult to be promoted to execute value-related operations, and further, the goods are rotten and deteriorated due to low turnover rate of the related goods, and related resources are wasted;
secondly, the traditional platform information recommending method cannot adapt to the problem of user demand change in time, and a subjective method is often adopted to generate the recommendation information when a recommendation information algorithm is implemented, so that the accuracy of the recommendation information is reduced, and further, the problems of reduction of the turnover rate of related articles and low utilization rate of storage space resources are caused;
thirdly, the requirement of the user is estimated without making clear grade judgment, and then the attraction degree of the recommendation information to the user is difficult to improve, so that the recommendation information conversion rate is low, the problems that the related articles are easy to press the bin and the like are caused, and the articles are likely to rot and deteriorate and the like.
Disclosure of Invention
This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter. Some embodiments of the present disclosure provide a recommendation information display method, apparatus, device and computer readable medium to solve one or more of the technical problems mentioned in the background section above.
In a first aspect, some embodiments of the present disclosure provide a recommendation information display method, including: obtaining a value transfer related information set, wherein the value transfer related information in the value transfer related information set comprises: value transfer information, to-be-priced value transfer information, price related information and a user account; generating a value transfer weight, a to-be-priced value transfer weight and a price related weight based on the value transfer related information set; based on the value transfer weight, the to-be-priced value transfer weight and the price related weight, carrying out user activity detection on each value transfer related information in the value transfer related information set to generate user activity information to obtain a user activity information set; carrying out value demand detection on each user activity information in the user activity information set to generate user value demand information to obtain a user value demand information set; and pushing each piece of user value demand information in the user value demand information set to a target terminal corresponding to the user value demand information for display, wherein the target terminal is a terminal for logging in a user account corresponding to the user value demand information.
In some embodiments, the generating a value transfer weight, a pending value transfer weight, and a price related weight based on the value transfer related information set includes:
generating a first value amount, a second value amount, and a third value amount based on the value transfer related information set by:
wherein the content of the first and second substances,
representing value transfer information included in each of the value transfer related information sets,
representing the information to be value transferred included in each value transfer related information in the value transfer related information set,
representing price-related information included in each value transfer-related information in the value transfer-related information set,
the first value quantity is represented by a first value quantity,
the second value quantity is represented by a value,
the third value quantity is represented by a value of,
a standard deviation representing value transfer information included in each of the value transfer related information sets,
a standard deviation representing the information to be value transferred included in each of the value transfer related information sets,
a standard deviation representing price-related information included in each of the value transfer-related information sets,
representing a covariance of price-related information included in each of the value transfer-related information sets and price-related information included in each of the value transfer-related information sets,
representing a covariance of price-related information included in each of the value-transfer-related information sets and pending-price-transfer information included in each of the value-transfer-related information sets,
representing the information of waiting value transfer and the value included in each information of value transfer in the information set of value transferThe covariance of the price-related information included in each value transfer-related information in the value transfer-related information set,
representing a covariance of value transfer information included in each of the value transfer related information sets and price related information included in each of the value transfer related information sets,
representing a covariance of the information of the pending value transfer included in each piece of value transfer related information in the set of value transfer related information and the information of the pending value transfer included in each piece of value transfer related information in the set of value transfer related information,
representing a covariance of value transfer information included in each of the value transfer related information sets and pending value transfer information included in each of the value transfer related information sets,
representing a covariance of price-related information included in each of the value-transfer-related information sets and value-transfer information included in each of the value-transfer-related information sets,
representing a covariance of the to-be-value transfer information included in each of the value transfer related information sets and the value transfer information included in each of the value transfer related information sets,
representing value transfers included in each of the value transfer related information setsA covariance of the value transfer information included in the value transfer related information and each value transfer related information in the value transfer related information set;
generating a value transfer weight, a pending value transfer weight, and a price-related weight based on the first value amount, the second value amount, and the third value amount.
In some embodiments, the generating a first threshold value, a second threshold value, a third threshold value, and a fourth threshold value based on the user activity information set includes:
generating a first limit value, a second limit value, a third limit value and a fourth limit value based on the user activity information set through the following formulas:
wherein the content of the first and second substances,
the sequence number is shown to indicate that,
user activity information in the set of user activity information,
indicating a first one of the sets of user activity information,
representing the first of the user's liveness information sets
The information on the activity level of each user,
which represents the first limit value, is,
to representThe value of the second limit value is,
which represents the third limit value, is,
representing the fourth threshold value.
In a second aspect, some embodiments of the present disclosure provide a recommendation information display apparatus, the apparatus including: an acquisition unit configured to acquire a value transfer related information set, wherein the value transfer related information in the value transfer related information set includes: value transfer information, to-be-priced value transfer information, price related information and a user account; a generating unit configured to generate a value transfer weight, a to-be-priced value transfer weight, and a price-related weight based on the value transfer-related information set; a user activity detection unit configured to perform user activity detection on each value transfer related information in the value transfer related information set based on the value transfer weight, the to-be-transferred value weight, and the price related weight to generate user activity information, resulting in a user activity information set; a value demand detection unit configured to perform value demand detection on each user activity information in the user activity information set to generate user value demand information, obtaining a user value demand information set; and the pushing unit is configured to push each piece of user value demand information in the user value demand information set to a target terminal corresponding to the user value demand information for display, wherein the target terminal is a terminal for logging in a user account corresponding to the user value demand information.
In a third aspect, some embodiments of the present disclosure provide an electronic device, comprising: one or more processors; a storage device having one or more programs stored thereon, which when executed by one or more processors, cause the one or more processors to implement the method described in any of the implementations of the first aspect.
In a fourth aspect, some embodiments of the present disclosure provide a computer readable medium on which a computer program is stored, wherein the program, when executed by a processor, implements the method described in any of the implementations of the first aspect.
The above embodiments of the present disclosure have the following advantages: through the recommendation information display method of some embodiments of the disclosure, the turnover rate of related articles can be improved to ensure the articles to be fresh, and further, the waste of related resources is reduced. Specifically, the reason for the decay and deterioration of the related goods and the waste of related resources is that: the requirements of users are considered less, so that the recommendation information is difficult to meet the requirements of the users, and thus fewer users tend to perform related operations in the platform (for example, consumption is performed by using the red package tickets issued by the platform), and the turnover rate of related articles is low, so that the related articles are rotten and deteriorated. Based on this, the habit of the user performing the relevant value transfer operation on the platform is comprehensively considered in the recommendation information display method of some embodiments of the disclosure, and the method adapts to the requirement change of the user in time. And the requirement change of the user is considered, so that the user is more inclined to use the recommendation information in the platform, the use time cost of the recommendation information is further reduced, the turnover rate of related articles is improved, and the problem of related resource waste caused by extrusion, decay and deterioration of fresh fruits is avoided.
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The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and elements are not necessarily drawn to scale.
FIG. 1 is a schematic diagram of an application scenario of a recommendation information display method according to some embodiments of the present disclosure;
FIG. 2 is a flow diagram of some embodiments of a recommendation information display method according to the present disclosure;
FIG. 3 is a flow diagram of further embodiments of a recommendation information display method according to the present disclosure;
FIG. 4 is a schematic block diagram of some embodiments of a recommendation information display apparatus according to the present disclosure;
FIG. 5 is a schematic structural diagram of an electronic device suitable for use in implementing some embodiments of the present disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.
It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings. The embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict.
It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.
It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.
The names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the messages or information.
The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Fig. 1 is a schematic diagram of an application scenario of a recommendation information display method according to some embodiments of the present disclosure.
In the application scenario of fig. 1, first, the computing device 101 may obtain a value transfer related information set, where the value transfer related information in the value transfer related information set includes: value transfer information, to-be-priced value transfer information, price related information and a user account. Second, the computing device 101 may generate a value transfer weight 104, a pending value transfer weight 103, and a price related weight 105 based on the value transfer related information set 102 described above. Then, the computing device 101 may perform user activity detection on each value transfer related information in the value transfer related information set 102 based on the value transfer weight 104, the pending value transfer weight 103, and the price related weight 105 to generate user activity information, resulting in a user activity information set 106. Then, the computing device 101 may perform value demand detection on each user activity information in the user activity information sets 106 to generate user value demand information, resulting in the user value demand information set 107. Finally, the computing device 101 may push each user value demand information in the user value demand information set 107 to a target terminal 108 corresponding to the user value demand information for display, where the target terminal 108 is a terminal for logging in a user account corresponding to the user value demand information.
The computing device 101 may be hardware or software. When the computing device is hardware, it may be implemented as a distributed cluster composed of multiple servers or terminal devices, or may be implemented as a single server or a single terminal device. When the computing device is embodied as software, it may be installed in the hardware devices enumerated above. It may be implemented, for example, as multiple software or software modules to provide distributed services, or as a single software or software module. And is not particularly limited herein.
It should be understood that the number of computing devices in FIG. 1 is merely illustrative. There may be any number of computing devices, as implementation needs dictate.
With continued reference to fig. 2, a flow 200 of some embodiments of a recommendation information display method according to the present disclosure is shown. The recommendation information display method comprises the following steps:
In some embodiments, the executing subject of the recommended information display method (e.g., the computing device 101 shown in fig. 1) may obtain the value transfer related information set by a wired connection or a wireless connection. It should be noted that the wireless connection means may include, but is not limited to, a 3G/4G/5G connection, a WiFi connection, a bluetooth connection, a WiMAX connection, a Zigbee connection, a uwb (ultra wideband) connection, and other wireless connection means now known or developed in the future. The value transfer related information in the value transfer related information set may be various information generated when the user performs related operations on the platform. The value transfer related information may include: value transfer information (such as the total amount of money consumed by the user within five days), waiting value transfer information (such as the total amount of money for additional purchase of commodities by the user within five days), price related information (such as the total amount of money for use of the consumer coupons by the user within five days) and a user account.
As an example, the value transfer related information set may be:
In some embodiments, the execution subject of the recommendation information display method (e.g., the computing device 101 shown in fig. 1) may generate the value transfer weight, the pending value transfer weight, and the price related weight by a preset method based on the value transfer related information set, where the preset method may include, but is not limited to, any one of the following methods: entropy weight method, analytic hierarchy method or objective weighting method. The value of the value transfer weight, the value of the pending value transfer weight, and the value of the price-related weight are all in the range of (0, 1).
In some alternative implementations of some embodiments, the executing subject of the recommendation information display method (e.g., the computing device 101 shown in fig. 1) may generate the value transfer weight, the pending value transfer weight, and the price related weight by:
first, a value amount corresponding to value transfer information included in each of the value transfer related information sets is determined as a first value amount.
And secondly, determining a value quantity corresponding to the information to be transferred included in each piece of value transfer related information in the value transfer related information set as a second value quantity.
And thirdly, determining a value quantity corresponding to the price related information included in each value transfer related information set as a third value quantity.
And a fourth step of generating a value transfer weight, a pending value transfer weight, and a price-related weight based on the first value amount, the second value amount, and the third value amount.
And 203, based on the value transfer weight, the to-be-priced value transfer weight and the price related weight, performing user activity detection on each value transfer related information in the value transfer related information set to generate user activity information, and obtaining a user activity information set.
In some embodiments, the executing entity may perform user activity detection on each value transfer related information in the value transfer related information set based on the value transfer weight, the to-be-value transfer weight, and the price related weight by using the following formula to generate user activity information, so as to obtain a user activity information set:
wherein the content of the first and second substances,
representing the set of user activity information.
Representing the value transfer weight。
And a value transfer information unit that represents value transfer information included in each of the value transfer related information sets.
Representing the above pending value transfer weight.
And indicating the information to be value transferred included in each value transfer related information in the value transfer related information set.
Representing the price-related weight described above.
And a display unit that displays price-related information included in each of the value transfer-related information sets.
As an example, the value transfer weight may be 0.3. The above pending value transfer weight may be 0.3. The price related weight may be 0.4. The value transfer related information set may be as shown in the example of step 201 above. Then, the user activity detection may be performed on each value transfer related information in the value transfer related information set through the formula to generate user activity information, and the obtaining of the user activity information set may be: [26.1, 10.1, 29.7, 26.9, 11.3, 21.2, 35.8, 40.4,9.7, 26.9].
And 204, carrying out value demand detection on each user activity information in the user activity information set to generate user value demand information, and obtaining the user value demand information set.
In some embodiments, the execution subject may perform value demand detection on each user activity information in the user activity information set to generate user value demand information, so as to obtain the user value demand information set. The value requirement detection may be selecting a preset number of user activity information from the user activity information in a descending order. And then, taking the preset number of user activity information as a user value demand information set. The preset number may be 6.
As an example, the user activity information set may be: [26.1, 10.1, 29.7, 26.9, 11.3, 21.2, 35.8, 40.4,9.7, 26.9]. The sorting of the user activity information sets may be: [40.4, 35.8, 29.7, 26.9, 26.9, 21.2, 11.3, 10.1,9.7]. The selection of the activity information of the first 6 users as the user value demand information set may be: [40.4, 35.8, 29.7, 26.9, 21.2, 11.3 yuan ].
In some embodiments, the execution subject may push each user value demand information in the user value demand information set to a target terminal corresponding to the user value demand information for display. And the target terminal is a terminal for logging in a user account corresponding to the user value demand information. The target terminal corresponding to the user value demand information may be various display devices (for example, a display device of a mobile phone terminal, a display device of a computer terminal, or a display device of a tablet terminal).
The above embodiments of the present disclosure have the following advantages: through the recommendation information display method of some embodiments of the disclosure, the turnover rate of related articles can be improved to ensure the articles to be fresh, and further, the waste of related resources is reduced. Specifically, the reason for the decay and deterioration of the related goods and the waste of related resources is that: the requirements of users are considered less, so that the recommendation information is difficult to meet the requirements of the users, and thus fewer users tend to perform related operations in the platform (for example, consumption is performed by using the red package tickets issued by the platform), and the turnover rate of related articles is low, so that the related articles are rotten and deteriorated. Based on this, the habit of the user performing the relevant value transfer operation on the platform is comprehensively considered in the recommendation information display method of some embodiments of the disclosure, and the method adapts to the requirement change of the user in time. And the requirement change of the user is considered, so that the user is more inclined to use the recommendation information in the platform, the use time cost of the recommendation information is further reduced, the turnover rate of related articles is improved, and the problem of related resource waste caused by extrusion, decay and deterioration of fresh fruits is avoided.
With further reference to FIG. 3, a flow 300 of further embodiments of a recommendation information display method is illustrated. The flow 300 of the recommendation information display method includes the following steps:
In some embodiments, the executing subject of the recommended information display method (e.g., the computing device 101 shown in fig. 1) may obtain the value transfer related information set by a wired connection or a wireless connection. It should be noted that the wireless connection means may include, but is not limited to, a 3G/4G/5G connection, a WiFi connection, a bluetooth connection, a WiMAX connection, a Zigbee connection, a uwb (ultra wideband) connection, and other wireless connection means now known or developed in the future. The value transfer related information in the value transfer related information set may be various information generated when the user performs related operations on the platform. The value transfer related information may include: value transfer information (such as the total amount of money consumed by the user within five days), waiting value transfer information (such as the total amount of money for additional purchase of commodities by the user within five days), price related information (such as the total amount of money for use of the consumer coupons by the user within five days) and a user account.
As an example, the value transfer related information set may be:
In some embodiments, the execution subject may generate the value transfer weight, the pending value transfer weight, and the price related weight based on the value transfer related information set by:
first, based on the value transfer related information set, a first value amount, a second value amount, and a third value amount are generated by the following formulas:
wherein the value transfer information included in each of the value transfer related information sets is represented. And indicating the information to be value transferred included in each value transfer related information in the value transfer related information set. And a display unit that displays price-related information included in each of the value transfer-related information sets.
Represents the first value amount.
Represents the second valence amount.
Represents the above third valence amount.
And a standard deviation indicating the value transfer information included in each of the value transfer related information sets.
And indicating the standard deviation of the information to be valued transferred included in each value transfer related information in the value transfer related information set.
Indicating that each of the value transfer related information sets includesStandard deviation of price related information. And a covariance display unit configured to display a covariance of the price-related information included in each of the value transfer-related information sets and the price-related information included in each of the value transfer-related information sets. And a covariance display unit configured to display a covariance of the price related information included in each of the value transfer related information sets and the information to be priced included in each of the value transfer related information sets. And a covariance display unit configured to display a covariance of the information of the pending value transfer included in each of the sets of value transfer related information and the information of the price related included in each of the sets of value transfer related information. And a covariance display unit configured to display covariance of value transfer information included in each of the value transfer-related information sets and covariance of price-related information included in each of the value transfer-related information sets. And representing a covariance of the information of the pending value transfer included in each piece of value transfer related information in the set of value transfer related information and the information of the pending value transfer included in each piece of value transfer related information in the set of value transfer related information. And a covariance display unit configured to display a covariance of value transfer information included in each of the value transfer related information sets and information to be added included in each of the value transfer related information sets. And a covariance display unit configured to display a covariance of the price related information included in each of the value transition related information sets and the value transition information included in each of the value transition related information sets. And a covariance display unit configured to display a covariance of the information of the value to be transferred included in each of the sets of the value transfer related information and the information of the value to be transferred included in each of the sets of the value transfer related information. And a covariance display unit configured to display the covariance of the value transition information included in each of the value transition-related information sets and the value transition information included in each of the value transition-related information sets.
The above formula is an invention point of the embodiment of the present disclosure, and solves the technical problem mentioned in the background art, i.e. "the turnover rate of the related articles is reduced and the utilization rate of the storage space resources is low". Factors that lead to reduced turnover rate of related articles and reduced utilization rate of warehouse space resources are often as follows: the traditional platform information recommending method cannot adapt to the problem of user demand change in time, and when the information recommending algorithm is implemented, recommendation information is often generated by adopting a subjective method. Therefore, the accuracy of the recommendation information is reduced, and further, the user is difficult to be attracted to perform related operations on the platform, so that the turnover rate of related articles is reduced, and the utilization rate of storage space resources is low. If the factors are solved, the effects of improving the turnover rate of related articles and the utilization rate of storage space resources can be achieved. In order to achieve the effect, the method introduces three indexes of value transfer information, to-be-priced value transfer information and price related information related to the recommendation information. And respectively endowing the three indexes with different objective weights by an objective weight endowing method. Therefore, the activity of the user on the platform is comprehensively evaluated, and the generated recommendation information does not depend on subjective judgment of people, so that the method is more accurate. The three weights determined by the objective weighting method are determined by the respective contrast strengths of the three indexes and the conflicts among the three indexes. The respective contrast intensity of the three indexes is determined by the standard deviation of the value transfer information index, the to-be-priced value transfer information index and the price related information index in the formula. And the conflict between the three indexes is determined based on the correlation between the three indexes. Based on this, the above formula takes into account not only the contrast strength of the indices but also the conflict between the indices. This makes it possible to measure the information amount of each index more favorably. Therefore, the accuracy of generating the recommendation information is improved, the turnover rate of related articles is improved, and the low utilization rate of storage space resources is avoided.
And a second step of generating a value transfer weight, a pending value transfer weight and a price correlation weight based on the first value amount, the second value amount and the third value amount. The execution subject can generate a value transfer weight, a pending value transfer weight and a price correlation weight through the following formulas:
wherein the content of the first and second substances,
represents the first value amount.
Represents the second valence amount.
Represents the above third valence amount.
Representing a value transfer weight.
Representing the pending value transfer weight.
Representing a price-related weight.
In some embodiments, the execution subject may perform normalization processing on the value transfer information, the to-be-value transfer information, and the price related information included in the value transfer related information, respectively, to generate normalized value transfer information, normalized to-be-value transfer information, and normalized price related information. The normalization processing method is mainly used for mapping data to a range of 0-1. The normalization processing method may include, but is not limited to, any one of the following methods: z-score normalization method, extremum normalization method.
In some embodiments, the execution subject may generate the user activity information based on the value transfer weight, the to-be-priced transfer weight, the price-related weight, the normalized value transfer information, the normalized to-be-valued transfer information, and the normalized price-related information.
The execution main body can generate the user activity information through the following formula:
wherein the content of the first and second substances,
representing the value transfer weights described above.
Representing the above pending value transfer weight.
Representing the price-related weight described above.
Representing normalized value transfer information.
And expressing the normalized information of the value transfer to be obtained.
Representing normalized price related information.
Representing user activity information.
And 305, performing value demand detection on each user activity information in the user activity information set to generate user value demand information.
In some embodiments, the executing agent may perform value demand detection on each user activity information in the user activity information set to generate the user value demand information by:
first, generating a first limit value, a second limit value, a third limit value and a fourth limit value based on the user activity information set. Wherein the user activity information includes: first level user activity information, second level user activity information, and third level user activity information.
The execution main body may generate a first threshold, a second threshold, a third threshold, and a fourth threshold based on the user activity information set by the following formulas:
wherein the content of the first and second substances,
indicating a serial number.
And representing the user activity information in the user activity information set.
Indicating the first user activity information in the set of user activity information.
A second unit for representing the user activity information set
Individual user activity information.
The first threshold value is indicated.
Indicating the second threshold value.
Indicating the third threshold value.
The fourth threshold value is shown.
In some optional implementations of some embodiments, the execution subject may generate, based on the user activity information set, a first threshold, a second threshold, a third threshold, and a fourth threshold by:
a first substep of determining maximum user activity information in the set of user activity information.
A second substep of determining minimum user activity information in the set of user activity information.
And a third substep of determining the minimum user activity information as a first threshold value.
And a third substep of determining the maximum user activity information as a fourth threshold value.
A fourth substep of generating a second threshold value and a third threshold value based on the maximum user activity information and the minimum user activity information.
The above formula is another invention point of the embodiment of the present disclosure, and solves the technical problems mentioned in the background art, i.e., the problem that the related articles are easy to be pressed into the warehouse, which may cause the articles to decay and deteriorate. The problems that the related articles are easy to be pressed into a warehouse and the like are caused, and the articles are likely to decay and deteriorate are caused by the following factors: the existing recommendation information display method does not make clear grade judgment on the demand estimation of the user, and further, the attractiveness of the recommendation information to the user is difficult to improve, so that the recommendation information conversion rate is low, the problems that related articles are easy to press a bin and the like are caused, and the articles are likely to rot and deteriorate and the like are caused. If the above factors are solved, the rotten and deteriorated effect of the related articles caused by pressing the bin can be avoided. In order to achieve the effect, clear grade judgment is provided for the demand estimation of the user, so that the attraction degree of the recommendation information to the user is improved, the activity of the user is increased, and further, the conversion rate of the recommendation information of the related articles is increased, and the articles are prevented from being rotten and deteriorated due to the fact that the related articles are easy to press a bin. And the grade judgment is determined by the formula and the user activity. Through classifying the user activity clearly, the problems that the recommended information conversion rate is low, and the articles are easy to rot and deteriorate due to the fact that the relative articles are pressed are solved.
And secondly, determining a first level division range, a second level division range and a third level division range according to the first limit value, the second limit value, the third limit value and the fourth limit value. The first hierarchical division range may be a value between the first limit value (inclusive) and the second limit value (exclusive). The second-level division range may be a numerical value between the second limit value (inclusive) and the third limit value (exclusive). The third-level division range may be a numerical value between the third limit value (inclusive) and the fourth limit value (inclusive).
As an example, the first limit value may be 10. The second threshold value may be 20. The third threshold value may be 30. The fourth threshold value may be 40. The above-mentioned first level-dividing range may be 10, 20). The second hierarchical division range may be [20, 30 ]. The third-level division range may be [30, 40 ].
Thirdly, obtaining the matching information of the value to be required, wherein the matching information of the value to be required comprises: first level wait for value demand information, second level wait for value demand information, and third level wait for value demand information. The matching information of the value-waiting requirement can be acquired in a wired connection mode or a wireless connection mode. It should be noted that the wireless connection means may include, but is not limited to, a 3G/4G/5G connection, a WiFi connection, a bluetooth connection, a WiMAX connection, a Zigbee connection, a uwb (ultra wideband) connection, and other wireless connection means now known or developed in the future. Wherein, the above matching information of the waiting value demand may include: first level worth-waiting requirement information (e.g., full 75 minus 15), second level worth-waiting requirement information (e.g., full 65 minus 10), and third level worth-waiting requirement information (e.g., full 45 minus 5).
And fourthly, in response to the fact that the user activity information is within the first-level division range, determining the user activity information as first-level user activity information. The first hierarchical division range may be a value between the first limit value (inclusive) and the second limit value (exclusive).
As an example, the first hierarchical division range may be [10, 20 ]. The user activity information may be 15. And in response to determining that the user activity information is in the first-level division range, determining the user activity information as first-level user activity information. The first level of user activity information may be 15.
And fifthly, in response to the fact that the user activity information is determined to be in the second-level division range, determining the user activity information as second-level user activity information. The second hierarchical dividing range may be a numerical value between the second limit value (inclusive) and the third limit value (exclusive).
As an example, the above-described second hierarchical division range may be [20, 30 ]. The user activity information may be 25. And in response to determining that the user activity information is within the second-level division range, determining the user activity information as second-level user activity information. The second level of user liveness information may be 25.
And sixthly, determining the user activity information as third-level user activity information in response to determining that the user activity information is in the third-level division range. The third-level division range may be a numerical value between the third limit value (inclusive) and the fourth limit value (exclusive).
As an example, the third level division range may be [30, 40 ]. The user activity information may be 35. And in response to determining that the user activity information is in the third-level division range, determining the user activity information as third-level user activity information. The third level of user activity information may be 35.
And seventhly, combining the first-level to-be-valued demand information and the first-level user activity information included in the to-be-valued demand matching information to generate first-level value demand information.
As an example, the first-level worth-waiting requirement information included in the above-mentioned worth-waiting requirement matching information may be the red package ticket information representing "full 75-element minus 15-element". The first level of user activity information may be 15. The first-level pending value demand information and the first-level user activity information included in the pending value demand matching information may be combined to generate the first-level value demand information as [15, full 75 minus 15 yuan ].
And eighthly, combining the second-level waiting value demand information and the second-level user activity information included in the waiting value demand matching information to generate second-level value demand information.
As an example, the second-level waiting value requirement information included in the above waiting value requirement matching information may be the red package ticket information representing "full 65 minus 10". The second level of user activity information may be 25. The second-level waiting value demand information and the second-level user activity information included in the waiting value demand matching information are combined to generate second-level value demand information, which may be [25 ], "full 65 minus 10" ].
And ninthly, combining third-level to-be-valued demand information and the third-level user activity information included in the to-be-valued demand matching information to generate third-level value demand information.
As an example, the third-level worth-waiting requirement information included in the above worth-waiting requirement matching information may be the red package ticket information representing "full 45 minus 5 yuan". The third level of user activity information may be 35. The third-level pending value demand information and the third-level user activity information included in the pending value demand matching information are combined to generate third-level value demand information, which may be [35, "full 45 minus 5 yuan" ].
In some embodiments, the execution subject may push each user value demand information in the user value demand information set to a target terminal corresponding to the user value demand information for display. And the target terminal is a terminal for logging in a user account corresponding to the user value demand information. The target terminal corresponding to the user value demand information may be various display devices (for example, a display device of a mobile phone terminal, a display device of a computer terminal, or a display device of a tablet terminal).
The above embodiments of the present disclosure have the following advantages: first, the present disclosure introduces three indexes of value transfer information, to-be-priced value transfer information, and price related information related to recommendation information. And respectively endowing the three indexes with different objective weights by an objective weight endowing method. Therefore, the activity of the user on the platform is comprehensively evaluated, and the generated recommendation information does not depend on subjective judgment of people, so that the method is more accurate. The three weights determined by the objective weighting method are determined by the respective contrast strengths of the three indexes and the conflicts among the three indexes. The respective contrast strengths of the three indexes are determined by standard deviations of the value transfer information index, the to-be-priced value transfer information index and the price related information index. And the conflict between the three indexes is determined based on the correlation between the three indexes. Based on this, the present disclosure considers not only the contrast strength of the indices but also the conflict between the indices. This makes it possible to measure the information amount of each index more favorably. Therefore, the accuracy of generating the recommendation information is improved, the turnover rate of related articles is improved, and the low utilization rate of storage space resources is avoided. In addition, the clear grade judgment is provided for the demand estimation of the user, so that the attraction degree of the recommendation information to the user is improved, the activity of the user is increased, and further, the conversion rate of the recommendation information of the related articles is increased, and the articles are prevented from being rotten and deteriorated due to the fact that the related articles are easy to press the warehouse. Through classifying the user activity clearly, the problems that the recommended information conversion rate is low, and the articles are easy to rot and deteriorate due to the fact that the relative articles are pressed are solved.
With further reference to fig. 4, as an implementation of the methods shown in the above figures, the present disclosure provides some embodiments of a recommendation information display apparatus, which correspond to those shown in fig. 2, and which may be particularly applied in various electronic devices.
As shown in fig. 4, an article information display device 400 of some embodiments includes: an acquisition unit 401, a generation unit 402, a user activity detection unit 403, a value demand detection unit 404, and a push unit 405. The obtaining unit 401 is configured to obtain a value transfer related information set, where the value transfer related information in the value transfer related information set includes: value transfer information, to-be-priced value transfer information, price related information and a user account. A generating unit 402 configured to generate a value transfer weight, a pending value transfer weight, and a price related weight based on the value transfer related information set. A user activity detection unit 403, configured to perform user activity detection on each value transfer related information in the value transfer related information set based on the value transfer weight, the to-be-transferred value weight and the price related weight to generate user activity information, resulting in a user activity information set. A value demand detection unit 404 configured to perform value demand detection on each user activity information in the user activity information sets to generate user value demand information, resulting in a user value demand information set. A pushing unit 405 configured to push each user value demand information in the user value demand information set to a target terminal corresponding to the user value demand information for display, where the target terminal is a terminal for logging in a user account corresponding to the user value demand information.
It will be understood that the elements described in the apparatus 400 correspond to various steps in the method described with reference to fig. 2. Thus, the operations, features and resulting advantages described above with respect to the method are also applicable to the apparatus 400 and the units included therein, and will not be described herein again.
Referring now to FIG. 5, a block diagram of an electronic device (e.g., computing device 101 of FIG. 1) 500 suitable for use in implementing some embodiments of the present disclosure is shown. The electronic device shown in fig. 5 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 5, electronic device 500 may include a processing means (e.g., central processing unit, graphics processor, etc.) 501 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM) 502 or a program loaded from a storage means 508 into a Random Access Memory (RAM) 503. In the RAM 503, various programs and data necessary for the operation of the electronic apparatus 500 are also stored. The processing device 501, the ROM 502, and the RAM 503 are connected to each other through a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.
Generally, the following devices may be connected to the I/O interface 505: input devices 506 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; output devices 507 including, for example, a Liquid Crystal Display (LCD), speakers, vibrators, and the like; storage devices 508 including, for example, magnetic tape, hard disk, etc.; and a communication device 509. The communication means 509 may allow the electronic device 500 to communicate with other devices wirelessly or by wire to exchange data. While fig. 5 illustrates an electronic device 500 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided. Each block shown in fig. 5 may represent one device or may represent multiple devices as desired.
In particular, according to some embodiments of the present disclosure, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, some embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In some such embodiments, the computer program may be downloaded and installed from a network via the communication means 509, or installed from the storage means 508, or installed from the ROM 502. The computer program, when executed by the processing device 501, performs the above-described functions defined in the methods of some embodiments of the present disclosure.
It should be noted that the computer readable medium described above in some embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In some embodiments of the disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In some embodiments of the present disclosure, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
In some embodiments, the clients, servers may communicate using any currently known or future developed network Protocol, such as HTTP (HyperText Transfer Protocol), and may interconnect with any form or medium of digital data communication (e.g., a communications network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.
The computer readable medium may be embodied in the apparatus; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: obtaining a value transfer related information set, wherein the value transfer related information in the value transfer related information set comprises: value transfer information, to-be-priced value transfer information, price related information and a user account; generating a value transfer weight, a to-be-priced value transfer weight and a price related weight based on the value transfer related information set; based on the value transfer weight, the to-be-priced value transfer weight and the price related weight, carrying out user activity detection on each value transfer related information in the value transfer related information set to generate user activity information to obtain a user activity information set; carrying out value demand detection on each user activity information in the user activity information set to generate user value demand information to obtain a user value demand information set; and pushing each piece of user value demand information in the user value demand information set to a target terminal corresponding to the user value demand information for display, wherein the target terminal is a terminal for logging in a user account corresponding to the user value demand information.
Computer program code for carrying out operations for embodiments of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, 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 computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in some embodiments of the present disclosure may be implemented by software, and may also be implemented by hardware. The described units may also be provided in a processor, and may be described as: a processor includes an acquisition unit, a generation unit, a user activity detection unit, a value demand detection unit, and a push unit. The names of the units do not form a limitation on the units themselves in some cases, for example, the pushing unit may also be described as a unit for pushing each user value demand information in the user value demand information set to a target terminal corresponding to the user value demand information for display.
The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: 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), and the like.
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combination of the above-mentioned features, but also encompasses other embodiments in which any combination of the above-mentioned features or their equivalents is made without departing from the inventive concept as defined above. For example, the above features and (but not limited to) technical features with similar functions disclosed in the embodiments of the present disclosure are mutually replaced to form the technical solution.
Claims (10)
1. A recommendation information display method includes:
obtaining a value transfer related information set, wherein the value transfer related information in the value transfer related information set comprises: value transfer information, to-be-priced value transfer information, price related information and a user account;
generating a value transfer weight, a to-be-priced value transfer weight and a price related weight based on the value transfer related information set;
based on the value transfer weight, the value to be transferred weight and the price related weight, carrying out user activity detection on each value transfer related information in the value transfer related information set to generate user activity information to obtain a user activity information set;
carrying out value demand detection on each user activity information in the user activity information set to generate user value demand information to obtain a user value demand information set;
and pushing each piece of user value demand information in the user value demand information set to a target terminal corresponding to the user value demand information for display, wherein the target terminal is a terminal for logging in a user account corresponding to the user value demand information.
2. The method of claim 1, wherein generating a value transfer weight, a pending value transfer weight, and a price related weight based on the set of value transfer related information comprises:
determining a value quantity corresponding to the value transfer information included in each value transfer related information set in the value transfer related information set as a first value quantity;
determining a value quantity corresponding to the to-be-valued transfer information included in each value transfer related information set as a second value quantity;
determining a value quantity corresponding to price related information included in each value transfer related information set as a third value quantity;
generating a value transfer weight, a pending value transfer weight, and a price-related weight based on the first value amount, the second value amount, and the third value amount.
3. The method of claim 2, wherein the performing user liveness detection on each value transfer related information in the set of value transfer related information based on the value transfer weight, the to-be-value transfer weight, and the price related weight to generate user liveness information comprises:
respectively carrying out normalization processing on the value transfer information, the to-be-priced value transfer information and the price related information included in the value transfer related information to generate normalized value transfer information, normalized to-be-priced value transfer information and normalized price related information;
generating user liveness information based on the value transfer weight, the to-be-value transfer weight, the price-related weight, the normalized value transfer information, the normalized to-be-value transfer information, and the normalized price-related information.
4. The method of claim 3, wherein the user value demand information comprises: first level value demand information, second level value demand information, and third level value demand information; and
the detecting the value demand of each user activity information in the user activity information set to generate the user value demand information includes:
generating a first limit value, a second limit value, a third limit value and a fourth limit value based on the user activity information set, wherein the user activity information comprises: the first level user activity information, the second level user activity information and the third level user activity information;
and determining a first level division range, a second level division range and a third level division range according to the first limit value, the second limit value, the third limit value and the fourth limit value.
5. The method of claim 4, wherein the method further comprises:
acquiring to-be-value requirement matching information, wherein the to-be-value requirement matching information comprises: first-level waiting value demand information, second-level waiting value demand information and third-level waiting value demand information;
in response to determining that the user activity information is within the first level division range, determining the user activity information as first level user activity information;
in response to determining that the user liveness information is within the second hierarchical division range, determining the user liveness information as second level user liveness information;
in response to determining that the user activity information is within the third level division range, determining the user activity information as third level user activity information.
6. The method of claim 5, wherein the method further comprises:
combining first-level to-be-valued demand information and first-level user activity information included in the to-be-valued demand matching information to generate first-level value demand information;
combining second-level waiting value demand information and second-level user activity information which are included in the waiting value demand matching information to generate second-level value demand information;
and combining the third-level to-be-valued demand information and the third-level user activity information included in the to-be-valued demand matching information to generate third-level value demand information.
7. The method of claim 6, wherein generating a first threshold, a second threshold, a third threshold, and a fourth threshold based on the set of user activity information comprises:
determining the maximum user activity information in the user activity information set;
determining minimum user activity information in the user activity information set;
determining the minimum user activity information as a first limit value;
determining the maximum user activity information as a fourth threshold value;
and generating a second limit value and a third limit value based on the maximum user activity information and the minimum user activity information.
8. A recommended information display apparatus comprising:
an acquisition unit configured to acquire a value transfer related information set, wherein value transfer related information in the value transfer related information set includes: value transfer information, to-be-priced value transfer information, price related information and a user account;
a generating unit configured to generate a value transfer weight, a to-be-priced value transfer weight, and a price-related weight based on the value transfer-related information set;
a user activity detection unit configured to perform user activity detection on each value transfer related information in the value transfer related information set based on the value transfer weight, the to-be-value transfer weight, and the price related weight to generate user activity information, resulting in a user activity information set;
a value demand detection unit configured to perform value demand detection on each user activity information in the user activity information set to generate user value demand information, resulting in a user value demand information set;
a pushing unit configured to push each user value demand information in the user value demand information set to a target terminal corresponding to the user value demand information for display, wherein the target terminal is a terminal for logging in a user account corresponding to the user value demand information.
9. An electronic device, comprising:
one or more processors;
a storage device having one or more programs stored thereon;
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-7.
10. A computer-readable medium, on which a computer program is stored, wherein the program, when executed by a processor, implements the method of any one of claims 1-7.
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