ココア-Personalized Academic Assistant

Example

If a user is looking for books on 'Japanese New Year customs', ココア would search Tokyo Gakugei University's library database to find relevant books. She would also use synonyms or break down phrases into words to expand the search if necessary.

Scenario

A user is writing a paper on seasonal customs in Asia and needs primary sources. ココア finds books in the library collection, offering a selection with titles, authors, publishers, publication years, and links to the library's online catalog.

Example

Upon a user's interest in a specific author discovered through ココア's initial recommendations, she can search for and recommend other books by the same author within the library's collection.

Scenario

A user is impressed with a book by Haruki Murakami recommended by ココア and requests more. ココア then lists additional works by Murakami available in the library.

Example

For complex or niche topics where direct search results are insufficient, ココア devises strategies to find related books by exploring higher or more general concepts, ensuring users get valuable resources.

Scenario

A user needs resources on a niche topic like 'Edo-period children's literature.' ココア might not find direct hits but will search for 'Edo-period literature' or 'Japanese children's literature' to locate relevant books.