Abstract: Techniques can construct a learner's educational context (e.g., course enrollments, subject-matter interests, and/or activity involvements) and tailor query processing using the educational context. For a given query, each concept in a set of concepts can be assigned a weight. The weight can depend on a query term in the query. For example, for a query including “North America”, a “geography” concept and a “history” concept can be determined to be related to the query, and weights can be influenced accordingly. Weights can also depend on a user's educational context (e.g., such that the “geography” weight is higher when a learner is enrolled in a geography course). A query time can also be analyzed in view of schedule data (e.g., indicating when particular topics are to be studied in a course). Weights can further depend on which concepts are recently, currently or will soon be of interest based on the schedule.

Abstract: Techniques can construct a learner's educational context (e.g., course enrollments, subject-matter interests, and/or activity involvements) and tailor query processing using the educational context. For a given query, each concept in a set of concepts can be assigned a weight. The weight can depend on a query term in the query. For example, for a query including “North America”, a “geography” concept and a “history” concept can be determined to be related to the query, and weights can be influenced accordingly. Weights can also depend on a user's educational context (e.g., such that the “geography” weight is higher when a learner is enrolled in a geography course). A query time can also be analyzed in view of schedule data (e.g., indicating when particular topics are to be studied in a course). Weights can further depend on which concepts are recently, currently or will soon be of interest based on the schedule.

Abstract: Techniques can construct a learner's educational context (e.g., course enrollments, subject-matter interests, and/or activity involvements) and tailor query processing using the educational context. For a given query, each concept in a set of concepts can be assigned a weight. The weight can depend on a query term in the query. For example, for a query including “North America”, a “geography” concept and a “history” concept can be determined to be related to the query, and weights can be influenced accordingly. Weights can also depend on a user's educational context (e.g., such that the “geography” weight is higher when a learner is enrolled in a geography course). A query time can also be analyzed in view of schedule data (e.g., indicating when particular topics are to be studied in a course). Weights can further depend on which concepts are recently, currently or will soon be of interest based on the schedule.