A Study about Recommendation Based on Underlying Desires

Today, consumers have been able to buy various items with development of e-commerce sites and so on, while it made difficult to find items suitable for the consumer´s preference from many items. Because of such situation, recommendation systems that can present items suitable for user´s preference have been required. When a person prefers an item, but hesitates what to do, it is an important criterion whether the person´s desires is satisfied by the item or not.Thus, we analyzed relationship between consumer´s desires and preferred items by evaluation grid method, recommending items based on constructed evaluation grids. Moreover we investigated effectiveness of recommendation based on desires in our experiment and discussed about cross-category recommendation such as recommendation of item that have different attributes or categories.