Story-based Search and Recommendation and Federated Social Media

Social Web Incubator Community Group,

Hello. I am excited to share 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 has (federated) social media applications. Individuals' social media posts and feeds could be of use for providing contextual cues to search and recommendation systems.

Here is a hyperlink to an article discussing these topics, Artificial Intelligence and the Contextual Recommendation of Wit and Wisdom: http://www.phoster.com/articles/artificial-intelligence-and-the-contextual-recommendation-of-wit-and-wisdom/ .

Here is a hyperlink to the article's section which discusses (federated) social media applications of this approach: http://www.phoster.com/articles/artificial-intelligence-and-the-contextual-recommendation-of-wit-and-wisdom/social-media/ .

Thank you. I hope that the shared article is of some interest to you.


Best regards,
Adam Sobieski