Abstract: Disclosed herein is a method for managing item recommendation using a degree of association between language units and usage history to manage recommendation of similar items with high probability of purchase, rather than a matching method expressed by keywords, recommendation management, by adding or deleting experience items using a vector model-based reasoning method based on a word-to-word association, in a scheme of planning a novel recognition system through the study of human emotions and tastes, T.P.O (Time, Place, Occasion) and various list-specific characteristics (color, texture, etc.) based on the language used in everyday life in consideration of language units and items preferred or experienced and/or purchased by a user, and of applying machine learning technology and natural language understanding technology.

Abstract: Disclosed herein are a method and apparatus for providing information by using an attribute language.

Abstract: The present disclosure relates to a terminal, an apparatus, and a method for providing search information based on color information, the method including, acquiring a search keyword; selecting one or more colors, correlated with the acquired keyword, based on a pre-stored keyword-color information correlation; searching for an object that matches with the selected color; and configuring an interface page information including information about the searched object.

Abstract: Disclosed herein is a field-of-interest based preference search guidance system.

Abstract: Disclosed is a system for searching for an object based on color-sentiment, and a method thereof. The system for searching for an object based on color-sentiment includes: a search requestor terminal inputting, by a search requestor, at least one color of multiple colors to search for an object, and receiving multiple object search results based on sentiment information matched with the color; and an object search server transmitting, to the search requestor terminal, the multiple object search results based on an object search information database storing the sentiment information matched with the color.

Abstract: A method of proving a search service using an emoticon according to an embodiment of the present invention includes: displaying one search emoticon selected by a user from search emoticons displayed in a chat window; transmitting a search request by receiving a user input for the search emoticon displayed in a chat area; and displaying a result emoticon including a search result according to the search request of the chat area. Accordingly, a search service may be provided without exiting a chat application, and a convenient search environment providing a direct search service without executing an additional web browser for the search service may be provided to the user.