Research on Film Data Preprocessing and Visualization
| Autor: | Tiansong Li, KeYin Cao, HuaXin Zhang, Yu Liu, Zituo Wang |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Computer science
business.industry 020206 networking & telecommunications 02 engineering and technology computer.software_genre MovieLens Field (computer science) Visualization Data set Data visualization Data quality 0202 electrical engineering electronic engineering information engineering Key (cryptography) 020201 artificial intelligence & image processing Data mining Data pre-processing business computer |
| Zdroj: | 2020 IEEE International Conference on Information Technology,Big Data and Artificial Intelligence (ICIBA). |
| DOI: | 10.1109/iciba50161.2020.9276830 |
| Popis: | Data is the core of information, and good data quality is a prerequisite for many data analysis. Data cleaning is to increase the fault tolerance rate by correcting the error value of detected data. This paper aims to solve the problem of data set processing and visualization in the recommendation algorithm, so as to better apply in the field of recommendation algorithm. The recommendation algorithm and data sets Movielens and IMDB are analyzed theoretically. First, data set A was processed from data reading and movie score calculation; Again, the IMDB is processed in four steps to make it more suitable for the recommendation algorithm field; Finally, the plot function is used to visualize the key information. experiment shows: The data set sorted out by the above methods can effectively improve the quality and availability of data and provide relevant basis for better application in the algorithm. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|