Details
-
New Feature
-
Status: Closed
-
Major
-
Resolution: Fixed
-
None
-
None
-
None
Description
The basic idea is that a recommendation engine can be deployed by doing off-line analysis to find anomalously cooccurring items and then indexing these items in a search engine. These anomalous items are considered indicators which are indexed using an ordinary text search engine. Recommendations are generated by querying the search engine using recent behavior as a query. Recommendations can be combined with geo filtering and text queries.
See http://bit.ly/18vbbaT for a living design document.