AI study
Personalized push notifications enabled by artificial intelligence
풍요 평화 만땅 연구원
2022. 2. 2. 18:40
inverse recommendations can be used in following scenarios:
<notification>
- Push notification to selected users when new content is available (can be new movie, article, job offer, product or any other item). In this case, it is beneficial when you collect at least few user interactions with new item before asking for inverse recommendation, otherwise content based methods only can be applied.
- Notifications in social networks — for example a friend with similar interests just liked some item.
<identify>
- Hidden gems promotion — identify audience for high quality content that often leads to conversion or increased engagement (top articles with a subscription offer, intro show of addictive series)
- E-mailing scenarios for retail to promote goods, which expire soon and should be sold out or need to be promoted.
- E-mailing of “premium” offers, such as jobs, products or other premium or high margin content.
- A tool for recruiters to find suitable candidates. Recommending job applicants for certain position.
- Identifying new items that should be offered in order to increase engagement of certain group of users.
- Identifying potential content popularity before acquisition (see which users are interested in particular content before it becomes available to users).
- In the educational domain to identify students with interest in some specific content or course.
<recommend>
- Recommending students for assignments or projects.
- Recommending reviewers of articles or projects.
- In-game recommendation of players with similar interests.
- Recommending potential partners in dating apps.