Mobile recommendation system for cosmeceutical products

Most cosmeceutical products show ingredients in English, which is not easy to understand for consumers. Consumers can link to some existing websites and type these English ingredients to inquiry. However, these English ingredients are usually long and complex, and consumers are prone to making error on typing. Except for ingredients, information about similar commodity is also important for consumers when making decisions on purchasing cosmeceutical products. The purpose of this research is to provide an ingredient retrieval and recommendation system for cosmeceutical products. Our research utilizes 2D barcode to automatically gather ingredients and vector model to search f or commodities with similar ingredients. Our system is implemented on Android mobile phone, so the retrieval and recommendation are prompt.