Personalized Thematic-Item(s)-Strands Recommendation Task
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A Personalized Thematic-Item(s)-Strands Recommendation Task is an thematic-item(s)-strands recommendation task that is a personalized item(s) recommendation task.
- Context:
- It can be solved by a Personalized Thematic-Item(s)-Strands Recommendation System (which applies a personalized thematic-item(s)-strands recommendation algorithm).
- It can range from being a Contextual Personalized Thematic-Item(s)-Strands Recommendation Task to being a Non-Contextual Personalized Thematic-Item(s)-Strands Recommendation Task.
- Example(s):
- Personalized Movie-based Thematic-Items-Strands Recommending.
- Personalized Video Game-based Thematic-Items-Strands Recommending.
- Personalized Community-based Thematic-Items-Strands Recommending.
- Personalized Web Banner-based Thematic-Items-Strands Recommending.
- Personalized Webpage-based Thematic-Items-Strands Recommendation.
- …
- Counter-Example(s):
- See: User-Item-Strand Interaction Data.
References
2015
- https://medium.com/netflix-techblog/learning-a-personalized-homepage-aa8ec670359a
- QUOTE: Currently, the Netflix homepage on most devices is structured with videos (movies and TV shows) organized into thematically coherent rows presented in a two-dimensional layout. Members can scroll either horizontally on a row to see more videos in that row or vertically to see other rows. Thus, a key part of our personalization approach is how we choose rows to display on the homepage. This involves figuring out how to select the rows most relevant to each member, how to populate those rows with videos, and how to arrange them on the limited page area such that selecting a video to watch is intuitive.