Recommender Systems: Difference between revisions
Jump to navigation
Jump to search
Adamcolton (talk | contribs) No edit summary |
Adamcolton (talk | contribs) |
||
| Line 10: | Line 10: | ||
=== Taxonomy of Recommender Systems === | === Taxonomy of Recommender Systems === | ||
* Does sequence matter? | |||
* Are we recommending new things? (an example of re-recommending, is Pandora) | |||
A search engine is a recommender. | |||
* What is the purpose of the recommendation? a sale, to inform | |||
example: OWL - observed a word processor user and recommended shortcut keys based on their actions. | |||
== Footer == | == Footer == | ||
[[Category: Notes]] | [[Category: Notes]] | ||
[[Category: Course Work]] | [[Category: Course Work]] | ||
Revision as of 14:27, 8 September 2013
Week 1
Introduction to Recommender Systems
You can invest time in indexing information. Indexing can be done by comparing term frequency with in a document compared to the corpus.
History
- Invormation retrieval and filtering
- manual collaborative filtering
- automated collaborative filtering
- commercial era
Taxonomy of Recommender Systems
- Does sequence matter?
- Are we recommending new things? (an example of re-recommending, is Pandora)
A search engine is a recommender.
- What is the purpose of the recommendation? a sale, to inform
example: OWL - observed a word processor user and recommended shortcut keys based on their actions.