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Collaborative filtering recommendation algorithm based on improved user similarity

A collaborative filtering recommendation and user similarity technology, applied in computing, special data processing applications, instruments, etc., can solve problems such as inability to provide service assistance, reduce the working efficiency and intelligence of intelligent voice robots, and achieve the effect of improving compatibility

Pending Publication Date: 2022-07-08
SHIHEZI UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of the above-mentioned shortcomings in the prior art, the present invention provides a collaborative filtering recommendation algorithm based on improved user similarity, which solves the problem that the existing intelligent voice robot can complete the service tasks in the program setting content through program setting. , but because it is impossible to actively provide service assistance according to the needs of users, users need to search or ask through dialogues. This process reduces the work efficiency and intelligence of intelligent voice robots to a certain extent.

Method used

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  • Collaborative filtering recommendation algorithm based on improved user similarity

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Experimental program
Comparison scheme
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Embodiment 1

[0049] A collaborative filtering recommendation algorithm based on improved user similarity in this embodiment, such as figure 1 shown, including the following steps:

[0050] Step1: Obtain the task group target, determine the task group target type, and analyze the corresponding usage scenarios of the task group target type;

[0051] Step2: Classify the task group target according to the task group target fault setting result, and adjust the tone, timbre and loudness of the voice assistant program in the hardware with reference to the task target group classification;

[0052] Step3: Match the control results of the relevant pitch, timbre and loudness of the voice assistant program in the hardware to the corresponding usage scene;

[0053] Step4: Collect user demand data periodically, and evaluate user attributes, corresponding usage scenarios and their matching degree of voice assistant-related regulation according to the collected data synchronously;

[0054] Step 5: Set ...

Embodiment 2

[0060] At the specific implementation level, on the basis of Embodiment 1, this embodiment refers to figure 1 The collaborative filtering recommendation algorithm for improving user similarity in Embodiment 1 is further described in detail, as shown in the figure below. figure 1 As shown, in Step 1, the number of usage scenario items analyzed corresponding to the target type of the task group is greater than or equal to 1, where the number of usage scenario items is a natural number.

[0061] like figure 1 As shown, there are sub-steps set in Step 1, including the following steps:

[0062] Step11: Collect the content of the target requirements of the task group, and collect the target attributes of the task group;

[0063] Step12: Set the task group target fault according to the collected task group target attributes;

[0064] Among them, Step 11 and Step 12 are specifically used for judging the target type of the task group in Step 1 and corresponding usage scenarios.

[...

Embodiment 3

[0071] At the specific implementation level, on the basis of Embodiment 1, this embodiment refers to figure 1 The collaborative filtering recommendation algorithm for improving user similarity in Embodiment 1 is further described in detail, as shown in the figure below. figure 2 As shown, the top control logic program in Step 9 includes:

[0072] The main control module 1 is the main control terminal of the top control logic program, which is used to control the operation of the program and the receiving and sending of instructions;

[0073] The recording module 2 is used to record the click-through rate of the user using the recommended item;

[0074] The selection module 3 is used to obtain the result of the click-through rate of the recommended items used by the user in the recording module 2, and select the appropriate recommended item and the currently preferred recommended item corresponding to the appropriate recommended item replacement target;

[0075] The alternat...

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Abstract

The invention relates to the technical field of collaborative filtering recommendation algorithms, in particular to a collaborative filtering recommendation algorithm based on improved user similarity, which comprises the following steps: acquiring a task group target, judging a task group target type, and analyzing a use scene corresponding to the task group target type; task group targets are classified according to a task group target fault setting result, and related tones, timbres and loudness of a voice assistant program in hardware are regulated and controlled by referring to task target group classification; matching regulation and control results of related tones, timbres and loudness of a voice assistant program in the hardware to corresponding use scenes; recommendation items can be periodically and autonomously completed, use habits of users can be better fitted, meanwhile, the top regulation and control logic program can assist the system, various recommendation schemes are provided for different crowds to use during use, and the compatibility of the system is further improved.

Description

technical field [0001] The invention relates to the technical field of collaborative filtering recommendation algorithms, in particular to a collaborative filtering recommendation algorithm based on improved user similarity. Background technique [0002] Intelligent voice is a manifestation of artificial intelligence, and is now widely used in shopping mall entrances, hospitals and business processing places. [0003] However, although the existing intelligent voice robot can complete the service tasks in the content of the program setting through programming, it cannot actively provide service assistance according to the needs of users, so users need to search or conduct dialogues. Asked, this process reduces the work efficiency and intelligence of the intelligent voice robot to a certain extent, and it can also be seen that the related technology of intelligent voice robots still has room for improvement. SUMMARY OF THE INVENTION [0004] technical problem solved [00...

Claims

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Application Information

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IPC IPC(8): G06F16/9535G06F16/9536
CPCG06F16/9536G06F16/9535
Inventor 张荣华刘长征宋亚萍杨正龙李胜鹏卢泓铭
Owner SHIHEZI UNIVERSITY