User:OrenBochman/Search/Analytics

=Analytic For Search=

Search engine queries provides a direct view into the want and needs of the wikipedia's readers. The second such point of view is the edits - done by the editors. However edits may be spread over time and rarely provide a succinct expression of such needs. So it is at the point of search that vital questions can be answered.

For this projects analytics can be broken into two types of zones:
 * Improving search experience.
 * Exposing interesting and useful information on Media-wikis which would not be available elsewhere.
 * This information could be wrapped into a service and integrated into the wiki's API or as an extension.

Improving Search

 * Search click through rate & 0 results -- How often does search fail the user's needs?
 * Top queries -- What are the most commonly requested articles?
 * Slow Queries -- What queries require most time for a response?
 * User Click Ranking -- How often is the top result clicked on? How deep into the results do users browse?
 * Top Facets - When navigating via facets, what are the most used facets. (Prioritize facets pre-calcualtion)
 * Final Destination - How does search result correlate with articles browsed in a user's click stream.
 * Disambiguation bounce - do people like disambiguation pages or prefer for search to match the most relevant page.
 * Can queries be profiled and clustered to provide more intelligent responses
 * How can a user's search & browsing history be used to serve them with more satisfying results.