Abstract: Personalized navigation for one or more individuals' use of a search engine is provided. Identification of a query submitted to the search engine is performed. If the query is identified to be a personal navigational query, which is a query via which the individuals intend to navigate to a particular site or information object that they have previously viewed, the particular site or information object associated with the query is identified, and results of the search are personalized based on knowledge of the identified site or information object.

Abstract: Systems, methods, and computer media for personalizing a web page and for personalizing user search query results are provided. A request to view a web page, such as a user search query that produces a search result web page, is received from a computing device. A computing device identifier is detected. Device-specific data corresponding to the detected computing device identifier is accessed. Upon detecting at least one user identifier having an authentication state, user-specific data corresponding to the detected user identifier and authentication state is accessed. The web page is personalized based on at least one of the accessed device-specific data and the accessed user-specific data.

Abstract: Personalized navigation for one or more individuals' use of a search engine is provided. Identification of a query submitted to the search engine is performed. If the query is identified to be a personal navigational query, which is a query via which the individuals intend to navigate to a particular site or information object that they have previously viewed, the particular site or information object associated with the query is identified, and results of the search are personalized based on knowledge of the identified site or information object.

Abstract: Architecture that automatically detects historical search contexts as well as behaviors related to a search query. Machine learning and hand-authored rules are employed to automatically identify search contexts. Historical information likely to be useful in the current context is surfaced. When a user enters a search query or executes another search behavior, past behaviors are exposed which are contextually related to the current behavior. The architecture also provides automatic discovery of historical contexts, features related to the contexts, and training or authoring of a system for classifying behavior into contexts, using some combination of the machine learning and/or hand-authored rules. A runtime system classifies the current user behavior into a context and surfaces contextual information to the user.