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OLAP4R: A Top-K Recommendation System for OLAP Sessions
( Youwei Yuan ),( Weixin Chen ),( Guangjie Han ),( Gangyong Jia ) 한국인터넷정보학회 2017 KSII Transactions on Internet and Information Syst Vol.11 No.6
The Top-K query is currently played a key role in a wide range of road network, decision making and quantitative financial research. In this paper, a Top-K recommendation algorithm is proposed to solve the cold-start problem and a tag generating method is put forward to enhance the semantic understanding of the OLAP session. In addition, a recommendation system for OLAP sessions called “OLAP4R” is designed using collaborative filtering technique aiming at guiding the user to find the ultimate goals by interactive queries. OLAP4R utilizes a mixed system architecture consisting of multiple functional modules, which have a high extension capability to support additional functions. This system structure allows the user to configure multi-dimensional hierarchies and desirable measures to analyze the specific requirement and gives recommendations with forthright responses. Experimental results show that our method has raised 20% recall of the recommendations comparing the traditional collaborative filtering and a visualization tag of the recommended sessions will be provided with modified changes for the user to understand.
Classification of rose petal colors based on optical spectrum and pigment content analyses
Wang Hua,Fan Youwei,Yang Yuan,Zhang Hui,Li Maofu,Sun Pei,Zhang Xinzhu,Xue Zhen,Jin Wanmei 한국원예학회 2023 Horticulture, Environment, and Biotechnology Vol.64 No.2
Roses ( Rosa sp.) are an important ornamental crop worldwide. Their colorful fl owers mainly refl ect an accumulation of anthocyanins and carotenoids. Developing a reliable method to classify rose petal color and identifying relationships between pigment contents and color space values may off er better evaluation criteria for rose varieties. In this study, we classifi ed 60 rose varieties into three groups based on their color parameters, corresponding to red varieties, white and yellow varie- ties, and pink and dark pink varieties. We measured the total pigment contents and identifi ed the underlying anthocyanins and carotenoids using both UV spectrophotometry and ultraperformance convergence chromatography coupled to mass spectrometry. Flower petals of white roses contained the lowest pigment levels, while those of yellow roses contained only carotenoids (40.65–244.42 μg/g) and mainly in the form of β-carotene and violaxanthin. The petals of pink and dark pink roses only accumulated anthocyanins (91.72–1703.93 μg/g) and mainly as cyanidin 3,5-diglucoside and cyanidin 3- O-glu- coside. The petals of red roses contained both large amounts of anthocyanins (1484.8–3806.22 μg/g) and small amounts of carotenoids (1.81–18.77 μg/g). We divided the 60 rose varieties tested here into fi ve color groups based on optical spectrum and pigment content analyses. We also explored the relationships between anthocyanin contents, carotenoid contents, and fl ower color space values using principal component analysis, Pearson’s correlations, and non-linear models. In addition to providing a more accurate system of rose petal color classifi cation, our results can be used to predict pigment contents based on color parameters.