Abstract: A system is provided and includes search, analytics acquisition, CTR, and scoring modules. The search module: receives query requests from one or more user devices for respective queries; and based on the query requests and a CTR-based scoring model, conducts searches to provide search results for the queries. The analytics acquisition module acquires analytics data corresponding to the queries. The analytics data includes query files for the queries and selection files for the queries for which a selection event occurred. At least some of the selection events occur when a user of the one or more user devices selects a search result item in the search results provided for the queries. The CTR module determines a normalized CTR based on the analytics data. The scoring module updates the CTR-based scoring model based on the normalized CTR. The search module conducts a search based on the updated CTR-based scoring model.

Abstract: A deep linking system includes a storage system and a recommendation engine. The storage system stores a plurality of application records. The storage system further stores a plurality of cluster records, each cluster record defining a respective cluster of a plurality of clusters, each cluster including a respective plurality of clustered state identifiers, whereby the state identifiers are clustered according to one or more features. The recommendation engine includes one or more processors configured to receive a recommendation request and to identify cluster records from the plurality of cluster records based on the recommendation request. The identified cluster records indicate one or more clusters to which the state identifier of the recommendation request is related.