5). Query Recommendations for interactive db exploration G. Chatzopoulou,
M. Eirinaki and N. Polyzotis:
- Here introduce collaborative approach to recommend db query form for db exploration.
- Treat SQL as items , recommend similar queries to related users.
To generate recommendations, our frame work generate a predicted summary.This summary captures predicted degree of interest of active user with respect to all the parts of db.
Using this predicted summary, the framework construct queries that cover the subset of db with the highest predicted importance.
Overall frame work consist of three components:
(a). Construct session summary for each user based on query.
(b). Computation of predicted summary based on active user &
summaries of part user
(c). Generation of queries based on predicted summary.
Here represent a query recommendation frame work supporting the interactive exploration of relational db & an instantiation of this frame work based on user based collaborative filtering.
DISADVANTAGE
Do not consider the goodness of query result.
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