CN118013093A - Method and system for setting personalized recommendation of user under big data - Google Patents

Method and system for setting personalized recommendation of user under big data Download PDF

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CN118013093A
CN118013093A CN202410246550.5A CN202410246550A CN118013093A CN 118013093 A CN118013093 A CN 118013093A CN 202410246550 A CN202410246550 A CN 202410246550A CN 118013093 A CN118013093 A CN 118013093A
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character
binary
character string
setting
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刘德建
叶伟
李佳
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Fujian TQ Digital Co Ltd
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Fujian TQ Digital Co Ltd
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Abstract

The invention provides a method and a system for setting personalized recommendation of a user under big data, wherein the method comprises the following steps: 1. setting an operation state bit for the recommended topic set array, wherein the value is the power of 2; 2. the user selects one or more recommended topics, and the operation state bits of the selected recommended topics are converted into a binary string array; 3. traversing the array to obtain the longest character length len, and initially storing a character string s containing len 0 s. The resulting string s is a string containing 0 and 1. Inverting the character string s, and converting the character string s into decimal system to obtain a display state bit x; 4. the user enters the system, reads the display state bit x stored by the user, traverses the recommended topic set array, performs AND operation by using the operation state bit of x and topics, does not display if the result is 0, and displays if the result is not 0. The invention can effectively reduce the storage capacity of the personalized recommendation setting of the user.

Description

Method and system for setting personalized recommendation of user under big data
Technical Field
The invention relates to the technical field of big data processing, in particular to a method and a system for setting personalized recommendation of a user under big data.
Background
The recommendation topic is set by the system to make it more convenient for the user to find the content of interest to him/herself. When a user enters the system, a plurality of topics interested by the user are selected from a fixed recommended topic set to be used as personalized recommendations of the user, and then, the data of the recommended topics are only displayed when the user enters the app next time. The traditional storage mode is to give each tag an identifier, then separate multiple selected identifiers by using separators, for example, a "tag 1, a tag 2, a tag 5" or a "1,2,5", and the system stores a character string composed of topics selected by the user. Although this approach is intuitive and easy to understand, the disadvantage is particularly apparent in a large number of users, each user needs to additionally store a character string, and if the number of labels selected by the user is large, the consumed storage capacity is very large. Therefore, there is a need to develop a recommended topic storage mechanism that consumes as little additional storage space as possible for a large number of users.
Disclosure of Invention
In order to overcome the problems, the invention aims to provide a method for setting user personalized recommendation under big data, which can effectively reduce the storage capacity of the user personalized recommendation setting.
The invention is realized by adopting the following scheme: a method for setting user personalized recommendations under big data, the method comprising the steps of:
Step S1, setting operation status bits for a recommended topic set array, wherein each operation status bit value is to the power of 2, namely 1,2, 4, 8, 16 and 32..2 n, and each recommended topic in the recommended topic set array occupies 1 operation status bit value and is not repeated;
S2, selecting one or more recommended topics by a user, and converting the operation status bits of the selected recommended topics into a binary string array;
Step S3, traversing the binary number character string array to obtain the longest character length len, and initializing a character string S containing the character lengths len of 0, wherein the character string S is used for storing an operation result; circularly traversing the binary number character string array, traversing the characters of each binary number character string from right to left, setting the character of the ith position of the character string s from left to right to 1 if the ith character of the binary number character string is 1, and setting the character of the ith position of the character string s from left to right to 0 if the ith character is not 1; traversing the characters of each binary number character string to obtain a new character string s; continuing to traverse the next binary string to obtain a final string s which is a string containing 0 and 1; inverting the last character string s, converting the character string s into decimal system to obtain a display state bit x, and storing the display state bit x into the user information;
s4, the user enters an operation interface, a display state bit x stored by the user is read, the recommended topic set array is traversed, and the operation state bit of x and the recommended topics is used for performing AND operation, if the result is 0, the display is not performed, and if the result is not 0, the display is performed.
Further, the step S3 further includes: continuing traversing the next binary string in the binary string array, if the j-th character of the binary string is 1, setting the character of the j-th position of the new string s from left to right to 1, and if the j-th character is not 1, setting the character of the j-th position of the new string s from left to right to 0 instead of setting; and the method comprises the steps of traversing all binary strings in the binary string array to obtain a final string s which is a string containing 0 and 1.
Further, the step S4 further includes: reading a display state bit x stored by a user, traversing a recommended topic set array, namely converting operation state bits of each recommended topic in the display state bit x and the recommended topic set array into binary numbers, performing bit-wise and operation, and displaying if a result is 0 and not displaying if the result is not 0 after each recommended topic is operated.
The invention provides a system for setting personalized recommendation of a user under big data, which comprises: the system comprises an operation state conversion module, a recommended topic selection module, a character string conversion module and a display processing module;
The operation state conversion module sets operation state bits for the recommended topic set array, wherein each operation state bit value is to the power of 2, namely 1,2, 4, 8, 16 and 32..2 n, and each recommended topic in the recommended topic set array occupies 1 operation state bit value and is not repeated;
The recommended topic selection module is used for enabling a user to select one or more recommended topics and converting the operation state bits of the selected recommended topics into a binary string array;
the character string conversion module traverses the binary number character string array to obtain the longest character length len, and a character string s containing the character lengths len of 0 is initially used for storing an operation result; circularly traversing the binary number character string array, traversing the characters of each binary number character string from right to left, setting the character of the ith position of the character string s from left to right to 1 if the ith character of the binary number character string is 1, and setting the character of the ith position of the character string s from left to right to 0 if the ith character is not 1; traversing the characters of each binary number character string to obtain a new character string s; continuing to traverse the next binary string to obtain a final string s which is a string containing 0 and 1; inverting the last character string s, converting the character string s into decimal system to obtain a display state bit x, and storing the display state bit x into the user information;
the display processing module is used for enabling a user to enter an operation interface, reading a display state bit x stored by the user, traversing a recommended topic set array, performing AND operation by using the x and the operation state bit of the recommended topics, and displaying if the result is 0, and displaying if the result is not 0.
Further, the implementation manner of the character string conversion module further includes: continuing traversing the next binary string in the binary string array, if the j-th character of the binary string is 1, setting the character of the j-th position of the new string s from left to right to 1, and if the j-th character is not 1, setting the character of the j-th position of the new string s from left to right to 0 instead of setting; and the method comprises the steps of traversing all binary strings in the binary string array to obtain a final string s which is a string containing 0 and 1.
Further, the implementation manner of the display processing module further includes: reading a display state bit x stored by a user, traversing a recommended topic set array, namely converting operation state bits of each recommended topic in the display state bit x and the recommended topic set array into binary numbers, performing bit-wise and operation, and displaying if a result is 0 and not displaying if the result is not 0 after each recommended topic is operated.
The invention has the beneficial effects that: the background art describes: recommended topics are all stored by tags, such as: "Label 1, label 2, label 5"; therefore, under the condition of large user quantity, the storage capacity is very large, and the invention only needs to store the display state bit x, so that the storage capacity can be effectively reduced even if more users exist.
Drawings
FIG. 1 is a schematic flow chart of the method of the present invention.
Fig. 2 is a system schematic block diagram of the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings.
Referring to fig. 1, the method for setting user personalized recommendation under big data of the present invention includes the following steps:
Step S1, setting operation status bits for a recommended topic set array, wherein each operation status bit value is to the power of 2, namely 1,2, 4, 8, 16 and 32..2 n, and each recommended topic in the recommended topic set array occupies 1 operation status bit value and is not repeated;
S2, selecting one or more recommended topics by a user, and converting the operation status bits of the selected recommended topics into a binary string array;
Step S3, traversing the binary number character string array to obtain the longest character length len, and initializing a character string S containing the character lengths len of 0, wherein the character string S is used for storing an operation result; circularly traversing the binary number character string array, traversing the characters of each binary number character string from right to left, setting the character of the ith position of the character string s from left to right to 1 if the ith character of the binary number character string is 1, and setting the character of the ith position of the character string s from left to right to 0 if the ith character is not 1; traversing the characters of each binary number character string to obtain a new character string s; continuing to traverse the next binary string to obtain a final string s which is a string containing 0 and 1; inverting the last character string s, converting the character string s into decimal system to obtain a display state bit x, and storing the display state bit x into the user information;
The step S3 further includes: continuing traversing the next binary string in the binary string array, if the j-th character of the binary string is 1, setting the character of the j-th position of the new string s from left to right to 1, and if the j-th character is not 1, setting the character of the j-th position of the new string s from left to right to 0 instead of setting; and the method comprises the steps of traversing all binary strings in the binary string array to obtain a final string s which is a string containing 0 and 1.
S4, the user enters an operation interface, a display state bit x stored by the user is read, the recommended topic set array is traversed, and the operation state bit of x and the recommended topics is used for performing AND operation, if the result is 0, the display is not performed, and if the result is not 0, the display is performed.
The step S4 further includes: reading a display state bit x stored by a user, traversing a recommended topic set array, namely converting operation state bits of each recommended topic in the display state bit x and the recommended topic set array into binary numbers, performing bit-wise and operation, and displaying if a result is 0 and not displaying if the result is not 0 after each recommended topic is operated.
The invention is further described with reference to the following specific examples:
A method for setting personalized recommendation of users under big data,
Step 1, setting operation status bits for a recommended topic set array, wherein each operation status bit value is to the power of 2, namely 1, 2, 4, 8, 16 and 32..2 n, and each recommended topic in the recommended topic set array occupies 1 operation status bit value and is not repeated;
The example system has 5 recommended topics, namely a checkpoint, equipment, upgrading, challenging and attack, an operation state bit is set for the 5 recommended topics, the value is the power of 2, and each recommended topic occupies 1 value and is not repeated. Checkpoint 1, equipment 2, upgrade 4, challenge 8 and attack 16. The purpose of setting the status bits is to use these decimal corresponding binaries for subsequent operations.
S2, selecting one or more recommended topics by a user, and converting the operation status bits of the selected recommended topics into a binary string array;
Step S3, traversing the binary number character string array to obtain the longest character length len, and initializing a character string S containing the character lengths len of 0, wherein the character string S is used for storing an operation result; circularly traversing the binary number character string array, traversing the characters of each binary number character string from right to left, setting the character of the ith position of the character string s from left to right to 1 if the ith character of the binary number character string is 1, and setting the character of the ith position of the character string s from left to right to 0 if the ith character is not 1; traversing the characters of each binary number character string to obtain a new character string s; continuing traversing the next binary string in the binary string array, if the j-th character of the binary string is 1, setting the character of the j-th position of the new string s from left to right to 1, and if the j-th character is not 1, setting the character of the j-th position of the new string s from left to right to 0 instead of setting; and the method comprises the steps of traversing all binary strings in the binary string array to obtain a final string s which is a string containing 0 and 1.
After the user enters the system, the system prompts the user to select one or more topics of interest to the user from the 5 recommended topics. Suppose user a selects equipment, upgrades, and aggressions. Namely, the operation state bits, 2, 4 and 16, are converted into binary numbers 0010, 0100 and 10000, and are stored in a character string array to obtain [ ] string { "0010", "0100", "10000" }, the array is circularly traversed to obtain the longest binary character string length in the array, and the longest binary string length is recorded as len, and 10000 is 5 bits, so that len=5. An initial string s containing len 0s is used to store the result of the operation, i.e., s= "00000". And circularly traversing the character string array to obtain a 1 st binary character string '0010'. Traversing the character string '0010' from right to left, if the ith character of the binary number character string is 1, setting the character of the ith position of the character string s from left to right to 1, and if the ith character is not 1, setting the character of the ith position of the character string s from left to right to 0 instead of setting; the 2 nd character on the right is 1, the character setting of the 2 nd position of the character string s from left to right is set to 1, that is, s= "01000"; the 3 rd character on the right is 0, and the character is unchanged; the 4 th character on the right is 0, and is unchanged. Then, the 2 nd binary string "0100" is traversed from right to left, the first two characters on the right are 0, the first two characters on the right are unchanged, the 3 rd character on the right is 1, and the 3 rd character setting of the string s from left to right is 1, namely s= "01100". And traversing the binary string array [ ] string { "0010", "0100", "10000" } by analogy to obtain s= "01101". The resulting string s is a string containing 0 and 1. The code is as follows:
Then, the character string s is inverted, the "01101" is inverted to obtain "10110", and then decimal is converted to obtain the display state bit x=22, and the display state bit x=22 is stored in the user information.
The code is as follows:
And 4, a user enters the system, reads the display state bit x stored by the user, traverses the recommended topic set array, performs sum and distance calculation by using the operation state bit of x and topics, does not display if the result is 0, and displays if the result is not 0.
After the personalized recommended display status bit x of the user is set and stored in the steps 1 and 2, when the user enters the system next time, the display status bit x of the user is read, and x=22 is obtained. Traversing the recommended topic set array= [ ] int {1,2,4,8,16}, not showing if the result is 0, and showing if the result is not 0.
Performing bitwise AND operation by using x and a 1 st topic operation state bit 1, wherein if 22&1 is 10110& 0001=0, a topic "checkpoint" with the operation state bit of 1 is not displayed;
Performing bitwise AND operation by using x and a2 nd topic operation state bit 2, wherein 22&2 is 10110& 0010=2, and 2 is not equal to 0, and the topic equipment with the operation state bit of 2 is displayed;
performing bitwise AND operation by using x and a3 rd topic operation state bit 4, wherein 22&4 is 10110& 0100=4, and 4 is not equal to 0, and the topic with the operation state bit of 4 is displayed in an 'upgrading' manner;
Performing bitwise AND operation by using x and a 4 th topic operation state bit 8, wherein if 22&8 is 10110& 1000=0, the topic 'challenge' with the operation state bit of 0 is not displayed;
performing bitwise AND operation by using x and a 5 th topic operation state bit 16, wherein 22&8 is 10110& 10000=16, and 16 is not equal to 0, so that the topic "attack" with the operation state bit of 16 is displayed;
The user's presentation status bit x=22 and the topics he needs to present after entering the system are equipment, upgrades, and attacks. The code is as follows:
referring to fig. 2, the present invention provides a system for setting personalized recommendation of a user under big data, the system includes: the system comprises an operation state conversion module, a recommended topic selection module, a character string conversion module and a display processing module;
The operation state conversion module sets operation state bits for the recommended topic set array, wherein each operation state bit value is to the power of 2, namely 1,2, 4, 8, 16 and 32..2 n, and each recommended topic in the recommended topic set array occupies 1 operation state bit value and is not repeated;
The example system has 5 recommended topics, namely a checkpoint, equipment, upgrading, challenging and attack, an operation state bit is set for the 5 recommended topics, the value is the power of 2, and each recommended topic occupies 1 value and is not repeated. Checkpoint 1, equipment 2, upgrade 4, challenge 8 and attack 16. The purpose of setting the status bits is to use these decimal corresponding binaries for subsequent operations.
The recommended topic selection module is used for enabling a user to select one or more recommended topics and converting the operation state bits of the selected recommended topics into a binary string array;
the character string conversion module traverses the binary number character string array to obtain the longest character length len, and a character string s containing the character lengths len of 0 is initially used for storing an operation result; circularly traversing the binary number character string array, traversing the characters of each binary number character string from right to left, setting the character of the ith position of the character string s from left to right to 1 if the ith character of the binary number character string is 1, and setting the character of the ith position of the character string s from left to right to 0 if the ith character is not 1; traversing the characters of each binary number character string to obtain a new character string s; continuing to traverse the next binary string to obtain a final string s which is a string containing 0 and 1; inverting the last character string s, converting the character string s into decimal system to obtain a display state bit x, and storing the display state bit x into the user information;
the display processing module is used for enabling a user to enter an operation interface, reading a display state bit x stored by the user, traversing a recommended topic set array, performing AND operation by using the x and the operation state bit of the recommended topics, and displaying if the result is 0, and displaying if the result is not 0.
The implementation mode of the character string conversion module further comprises the following steps: continuing traversing the next binary string in the binary string array, if the j-th character of the binary string is 1, setting the character of the j-th position of the new string s from left to right to 1, and if the j-th character is not 1, setting the character of the j-th position of the new string s from left to right to 0 instead of setting; and the method comprises the steps of traversing all binary strings in the binary string array to obtain a final string s which is a string containing 0 and 1.
After the user enters the system, the system prompts the user to select one or more topics of interest to the user from the 5 recommended topics. Suppose user a selects equipment, upgrades, and aggressions. Namely, the operation state bits, 2, 4 and 16, are converted into binary numbers 0010, 0100 and 10000, and are stored in a character string array to obtain [ ] string { "0010", "0100", "10000" }, the array is circularly traversed to obtain the longest binary character string length in the array, and the longest binary string length is recorded as len, and 10000 is 5 bits, so that len=5. An initial string s containing len 0 s is used to store the result of the operation, i.e., s= "00000". And circularly traversing the character string array to obtain a1 st binary character string '0010'. Traversing the character string '0010' from right to left, if the ith character of the binary number character string is 1, setting the character of the ith position of the character string s from left to right to 1, and if the ith character is not 1, setting the character of the ith position of the character string s from left to right to 0 instead of setting; the 2 nd character on the right is 1, the character setting of the 2 nd position of the character string s from left to right is set to 1, that is, s= "01000"; the 3 rd character on the right is 0, and the character is unchanged; the 4 th character on the right is 0, and is unchanged. Then, the 2 nd binary string "0100" is traversed from right to left, the first two characters on the right are 0, the first two characters on the right are unchanged, the 3 rd character on the right is 1, and the 3 rd character setting of the string s from left to right is 1, namely s= "01100". And traversing the binary string array [ ] string { "0010", "0100", "10000" } by analogy to obtain s= "01101". The resulting string s is a string containing 0 and 1.
The implementation manner of the display processing module further comprises: reading a display state bit x stored by a user, traversing a recommended topic set array, namely converting operation state bits of each recommended topic in the display state bit x and the recommended topic set array into binary numbers, performing bit-wise and operation, and displaying if a result is0 and not displaying if the result is not 0 after each recommended topic is operated.
In a word, the invention only needs to store the display state bit x, and even if more users exist, the storage capacity can be effectively reduced. The label corresponding to the recommended topic does not need to be stored, and the recommended topic is stored in a binary character string, so that the storage capacity is reduced.
The foregoing description is only of the preferred embodiments of the invention, and all changes and modifications that come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein.

Claims (6)

1. A method for setting personalized recommendation of a user under big data is characterized in that: the method comprises the following steps:
Step S1, setting operation status bits for a recommended topic set array, wherein each operation status bit value is to the power of 2, namely 1,2, 4, 8, 16 and 32..2 n, and each recommended topic in the recommended topic set array occupies 1 operation status bit value and is not repeated;
S2, selecting one or more recommended topics by a user, and converting the operation status bits of the selected recommended topics into a binary string array;
Step S3, traversing the binary number character string array to obtain the longest character length len, and initializing a character string S containing the character lengths len of 0, wherein the character string S is used for storing an operation result; circularly traversing the binary number character string array, traversing the characters of each binary number character string from right to left, setting the character of the ith position of the character string s from left to right to 1 if the ith character of the binary number character string is 1, and setting the character of the ith position of the character string s from left to right to 0 if the ith character is not 1; traversing the characters of each binary number character string to obtain a new character string s; continuing to traverse the next binary string to obtain a final string s which is a string containing 0 and 1; inverting the last character string s, converting the character string s into decimal system to obtain a display state bit x, and storing the display state bit x into the user information;
s4, the user enters an operation interface, a display state bit x stored by the user is read, the recommended topic set array is traversed, and the operation state bit of x and the recommended topics is used for performing AND operation, if the result is 0, the display is not performed, and if the result is not 0, the display is performed.
2. The method for setting user personalized recommendation under big data according to claim 1, wherein: the step S3 further includes: continuing traversing the next binary string in the binary string array, if the j-th character of the binary string is1, setting the character of the j-th position of the new string s from left to right to 1, and if the j-th character is not 1, setting the character of the j-th position of the new string s from left to right to 0 instead of setting; and the method comprises the steps of traversing all binary strings in the binary string array to obtain a final string s which is a string containing 0 and 1.
3. The method for setting user personalized recommendation under big data according to claim 1, wherein: the step S4 further includes: reading a display state bit x stored by a user, traversing a recommended topic set array, namely converting operation state bits of each recommended topic in the display state bit x and the recommended topic set array into binary numbers, performing bit-wise and operation, and displaying if a result is 0 and not displaying if the result is not 0 after each recommended topic is operated.
4. A system for setting personalized recommendation of users under big data is characterized in that: the system comprises: the system comprises an operation state conversion module, a recommended topic selection module, a character string conversion module and a display processing module;
The operation state conversion module sets operation state bits for the recommended topic set array, wherein each operation state bit value is to the power of 2, namely 1,2, 4, 8, 16 and 32..2 n, and each recommended topic in the recommended topic set array occupies 1 operation state bit value and is not repeated;
The recommended topic selection module is used for enabling a user to select one or more recommended topics and converting the operation state bits of the selected recommended topics into a binary string array;
the character string conversion module traverses the binary number character string array to obtain the longest character length len, and a character string s containing the character lengths len of 0 is initially used for storing an operation result; circularly traversing the binary number character string array, traversing the characters of each binary number character string from right to left, setting the character of the ith position of the character string s from left to right to 1 if the ith character of the binary number character string is 1, and setting the character of the ith position of the character string s from left to right to 0 if the ith character is not 1; traversing the characters of each binary number character string to obtain a new character string s; continuing to traverse the next binary string to obtain a final string s which is a string containing 0 and 1; inverting the last character string s, converting the character string s into decimal system to obtain a display state bit x, and storing the display state bit x into the user information;
the display processing module is used for enabling a user to enter an operation interface, reading a display state bit x stored by the user, traversing a recommended topic set array, performing AND operation by using the x and the operation state bit of the recommended topics, and displaying if the result is 0, and displaying if the result is not 0.
5. The system for setting user personalized recommendations under big data according to claim 4, wherein: the implementation mode of the character string conversion module further comprises the following steps: continuing traversing the next binary string in the binary string array, if the j-th character of the binary string is 1, setting the character of the j-th position of the new string s from left to right to 1, and if the j-th character is not 1, setting the character of the j-th position of the new string s from left to right to 0 instead of setting; and the method comprises the steps of traversing all binary strings in the binary string array to obtain a final string s which is a string containing 0 and 1.
6. The system for setting user personalized recommendations under big data according to claim 4, wherein: the implementation manner of the display processing module further comprises: reading a display state bit x stored by a user, traversing a recommended topic set array, namely converting operation state bits of each recommended topic in the display state bit x and the recommended topic set array into binary numbers, performing bit-wise and operation, and displaying if a result is 0 and not displaying if the result is not 0 after each recommended topic is operated.
CN202410246550.5A 2024-03-05 2024-03-05 Method and system for setting personalized recommendation of user under big data Pending CN118013093A (en)

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