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Article

A Collaborative Filtering Recommendation Algorithm with Improved Similarity Calculation

In order to improve the accuracy of the proposed algorithm in collaborative filtering recommendation system, an Improved Pearson collaborative filtering (IP-CF) algorithm is proposed in this paper. The algorithm uses the user portrait, item characteristics and data of user behavior to compute the baseline predictors model. Instead of the traditional algorithm’s similarity calculation, the prediction model is used to improve the accuracy of the recommendation algorithm. Experimental results on

Yang Ju, Liu Bailin, Zhixiang Zhao

International Journal of Advanced Network, Monitoring and Controls , ISSUE 1, 97–100

Article

Traveling Route Generation Algorithm Based On LDA and Collaborative Filtering

reduce the blindness and randomness of route arrangement, then provide customers with personalized travel routes, thus providing more travel options for users to choose has gradually become a research hotspot of relevant enterprises and disciplines. In recent years, algorithms for travel route generation, LDA, and collaborative filtering have been reported many times. Ma Zhangbao et al. [2], who began with the space decision-making of tourism travel, studied methods and techniques of the tourism

Peng Cui, Yuming Wang, Chunmei Li

International Journal of Advanced Network, Monitoring and Controls , ISSUE 4, 47–62

Article

RECOMMENDER ALGORITHMS BASED ON BOOSTING ENSEMBLE LEARNING

Cheng Lili

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 368–386

Research Article

LEARNING TO RANK AND CLASSIFICATION OF BUG REPORTS USING SVM AND FEATURE EVALUATION

S. Rajeswari, S. Sharavanan, R. Vijai, RM. Balajee

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 311–329

Article

Design and Implementation of Music Recommendation System Based on Hadoop

Zhao Yufeng, Li Xinwei

International Journal of Advanced Network, Monitoring and Controls , ISSUE 2, 126–132

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