[Retracted] Intelligent Recommendation Algorithm of Multimedia English Distance Education Resources Based on User Model

Abstract

Based on the understanding and comparison of various main recommendation algorithms, this paper focuses on the collaborative filtering algorithm and proposes a collaborative filtering recommendation algorithm with improved user model. Firstly, the algorithm considers the score difference caused by different user scoring habits when expressing preferences and adopts the decoupling normalization method to normalize the user scoring data; secondly, considering the forgetting shift of user interest with time, the forgetting function is used to simulate the forgetting law of score, and the weight of time forgetting is introduced into user score to improve the accuracy of recommendation; finally, the similarity calculation is improved when calculating the nearest neighbor set. Based on the Pearson similarity calculation, the effective weight factor is introduced to obtain a more accurate and reliable nearest neighbor set. The algorithm establishes an offline user model, which makes the algorithm have better recommendation efficiency. Two groups of experiments were designed based on the mean absolute error (MAE). One group of experiments tested the parameters in the algorithm, and the other group of experiments compared the proposed algorithm with other algorithms. The experimental results show that the proposed method has better performance in recommendation accuracy and recommendation efficiency.

Designing an English Teaching Resource’s Information Management System Using Collaborative Recommendation

“…ere is less common scoring data between two different users based on the premise of sparse data. For example, (1,2) is the score of users evaluating two common items, and (4, 5) is the score result of user B evaluating two items. e similarity between the two results is 0.98. is result is unreasonable, and the problem can be solved by correcting the cosine similarity.…”

“…It is easy to see why the recommendation algorithm has become so popular. We can expect the recommendation algorithm to be updated over time and applied to a growing number of scienti c elds, which will have an impact on the system's intellectual capabilities and customer experience [2]. e assistance provided will be more e cient.…”

Optimization Algorithm for Multipath Transmission of Distance Education Resources Using Reinforcement Learning

“…Society is in desperate need of inventive multifaceted skills, and the advancement of mobile technology has the potential to meet the learning requirements of a wide range of adult learners. When it comes to distance and open education in industrialized nations such as China and US, online education has nearly become synonymous with the terms [5][6][7][8][9]. Best Colleges, an American education research consulting agency, questioned online students and university officials.…”

Retracted: Intelligent Recommendation Algorithm of Multimedia English Distance Education Resources Based on User Model

“…Tis article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. Tis investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”