Hello. I am excited to share with the
comp.ai.edu community some new developments pertaining to story-based search and recommendation. In this new information retrieval approach, individuals provide stories and select characters in them to receive recommended content to be of use to those selected characters (e.g., advice, allegories, anecdotes, aphorisms, apologues, fables, historical analogues, jokes, literature, lyrics, parables, poems, proverbs, quotations, stories, or witticisms). The stories provided could be real-world stories and, in these cases, the selected characters could be themselves or other people.
Interestingly, this approach also has applicability to social media. Individuals' recent or selected posts and feeds could provide contextual cues to such search and recommendation systems.
Story-based search and recommendation has many educational use case scenarios and applications.
Here is a hyperlink to an article discussing these topics:
http://www.phoster.com/articles/artificial-intelligence-and-the-contextual-recommendation-of-wit-and-wisdom/ .
Thank you. I hope that these ideas and article are of some interest to you!
Best regards,
Adam Sobieski