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In recent years, machine vision technology has been widely used in production. The scanners of the three-dimensional scanning technology are too expensive to promotion. A new height measurement method of irregular objects is proposed in this paper. Firstly, the color and depth images of objects are collected by using Kinect, then the images collected are needed to preprocessed. The height matrix is...
In the wake of growing explosion of data and variable data format, collaborative filtering algorithm as a technology of E-commerce recommendation system cannot satisfy the requirement. Taking this as a starting point, this paper proposes a collaborative filtering algorithm based on MapReduce by using the MapReduce technology to realize the parallel filtering algorithm. In this algorithm, the data...
With the explosion of Internet information, recommender system plays an increasingly important position in online video searching. Collaborative filtering technique the most popular recommendation algorithm is inefficient in cold-start scenario. In this paper, we focus on new movie cold start problem and aim to bridge the gap between movie labels and movie similarity. A useful approach is proposed...
The personalized recommendation system has been widely and maturely applied to various domains from social network to items recommendation such as videos, music, movies, books and online shopping. In the meantime, the information visualization technology based on big data has a substantial development. Considering the common based on big data, this paper discussed the connections of graph visualization...
Collaborative filtering is the most worldwide and personalized video recommendation technology. As collaborative filtering recommendation system is often faced with the problem of matrix sparse on user rating. Via the introduction of the concept of collaborative filtering and the analysis of user behaviors and solution to the problem of sparse existing recommendation systems, this paper puts forward...
The emphases of this study are Web log data preprocessing and collaborative filtering. Aiming at user session identification in the process of data preprocessing and analyzing existing algorithms, this paper established a Web log data preprocessing algorithm based on collaborative filtering. Detailed steps of algorithm and an experimental simulation were carried out. The results of the experiment...
In this paper, we propose a Collaborative filtering recommendation method based on Bayesian theory. It firstly divides the items that has been rated into two group, then uses Bayesian theory to study the users' preference. And analyze the degrees of the users' preference for the items' inherent characteristics. Then judge which group the item that has not been rated belongs to. At last It computes...
We study the following problem: how to efficiently find in a collection of strings those similar to a given query string? Various similarity functions can be used, such as edit distance, Jaccard similarity, and cosine similarity. This problem is of great interests to a variety of applications that need a high real-time performance, such as data cleaning, query relaxation, and spellchecking. Several...
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