Research of specific field ultra-short text classification based on collaborative filtering algorithm

Research of Collaborative Filtering Recommendation Algorithm based on Network Structure

This paper combines the classic collaborative filtering algorithm with personalized recommendation algorithm based on network structure. For the data sparsity and malicious behavior problems of traditional collaborative filtering algorithm, the paper introduces a new kind of social network-based collaborative filtering algorithm. In order to improve the accuracy of the personalized recommendati...

Collaborative Filtering Algorithm Based on Mutual Information

Recommender systems are used by E-commerce sites to suggest products to their customers and to provide consumers with information to help them determine which products to purchase. Collaborative filtering algorithm is the most extensive personalized recommendation used in recommender systems. Since not being considering the dependence between predicted item and historical item, typical collabor...

Research on Tag-based Collaborative Filtering Strategy

Recommendation technology is designed to take the initiative to recommend using the user's history behavior information, without requiring users to explicitly specify the query case information. Collaborative filtering is the most widely recommended technique. However, some problems of the traditional collaborative filtering recommendation system still exist, and these problems significantly af...

Short Text Classification Based on Improved ITC

The long text classification has got great achievements, but short text classification still needs to be perfected. In this paper, at first, we describe why we select the ITC feature selection algorithm not the conventional TFIDF and the superiority of the ITC compared with the TFIDF, then we conclude the flaws of the conventional ITC algorithm, and then we present an improved ITC feature selec...

Research on Bayes-based Text Automatic Classification