Data Acquisition Method of Sensor News Based on Collaborative Filtering Algorithm

Abstract

With the vigorous development of new media technologies such as Internet of Things, big data, and cloud computing, data-based sensor news (SN) will become the trend of news reporting in the future and the new normal of news production. Under this background, this paper further analyzes the relationship between SN production mode and traditional news production, including the inheritance of traditional news production value concept, as well as the breakthrough and change in form, media, and effect. In this paper, collaborative filtering (CF) algorithm is improved to solve the problems of data sparseness, user interest migration, and scalability in CF technology. In the calculation of news content similar degree (SD), the influence of part of speech and position of feature words in news is also considered, and the time window is used to establish a model that adapts to the change of user interest with time. In this method, the contribution degree of different attributes to distinguishing users is considered, and the attribute SD between users is accurately calculated, which effectively improves the accuracy of SN data acquisition results.

Recommendation Algorithm of Web-Based Learning Resources considering Timeliness and Popularity

“…System Model. Figure 1 provides the overall architecture of the TRCP recommendation [21][22][23][24] algorithm. In this method, the matrix decomposition model with time factors is used to calculate the implicit relationship between learners and classified learning resources from the behavior records of learning resources and the learners' preferences for all kinds of learning resources are obtained.…”

Retracted: Data Acquisition Method of Sensor News Based on Collaborative Filtering Algorithm

“…This article has been retracted by Hindawi following an investigation undertaken by the publisher [1].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