Abstract: One or more techniques and/or systems are provided for surfacing scheduling conflicts and/or for facilitating appointment scheduling based upon conflict detection. A user may maintain user appointment data comprising user appointments (e.g., calendar entries within a work calendar). Because user activity may not be fully reflected in the appointment data (e.g., no calendar entries for routine grocery shopping, soccer practice, etc.), potential conflicts may exist between user appointments and the true availability of the user. Accordingly, user signals (e.g., email(s), location check-ins, etc. associated with soccer practice) may be evaluated to generate a user inferred behavior pattern that may be used to identify a potential conflict with a user appointment (e.g., where the user consents to the gathering and/or use of such user signals). A warning of the potential conflict may be surfaced to the user (e.g., a Tuesday dinner calendar meeting conflicts with routine soccer practice on Tuesday evenings).

Abstract: Methods, systems, and computer program products are provided that enable users to provide explicit declarations that are used to generate recommendations for the users. An explicit declaration is received from a user of a user device. The explicit declaration is configured to influence a subsequent recommendation. The words of the explicit declaration are processed to generate a record. A recommendation rule is generated based on the generated record. The recommendation rule is executed to generate a recommendation for the user. The generated recommendation is provided to the user.

Abstract: One or more techniques and/or systems are provided for constructing a complementary calendar and/or a shadow calendar. A user may maintain a primary calendar within which the user may schedule user specified tasks and/or meetings, but may inadvertently omit other entries. Accordingly, a complementary calendar may be constructed based upon inferences derived from user signal data (e.g., information used to identify/infer activities of the user, such as social network profile information, messages, temporal information, locational information, documents, etc.). The complementary calendar may be automatically populated with entries corresponding to inferences derived from user signals and/or real-time conditions (e.g., weather, store hours, traffic conditions, etc.). The primary calendar and the complementary calendar may be merged to create a shadow calendar.

Abstract: One or more techniques and/or systems are provided for constructing a complementary calendar and/or a shadow calendar. A user may maintain a primary calendar within which the user may schedule user specified tasks and/or meetings, but may inadvertently omit other entries. Accordingly, a complementary calendar may be constructed based upon inferences derived from user signal data (e.g., information used to identify/infer activities of the user, such as social network profile information, messages, temporal information, locational information, documents, etc.). The complementary calendar may be automatically populated with entries corresponding to inferences derived from user signals and/or real-time conditions (e.g., weather, store hours, traffic conditions, etc.). The primary calendar and the complementary calendar may be merged to create a shadow calendar.

Abstract: One or more techniques and/or systems are provided for constructing a complementary calendar and/or a shadow calendar. A user may maintain a primary calendar within which the user may schedule user specified tasks and/or meetings, but may inadvertently omit other entries. Accordingly, a complementary calendar may be constructed based upon inferences derived from user signal data (e.g., information used to identify/infer activities of the user, such as social network profile information, messages, temporal information, locational information, documents, etc.). The complementary calendar may be automatically populated with entries corresponding to inferences derived from user signals and/or real-time conditions (e.g., weather, store hours, traffic conditions, etc.). The primary calendar and the complementary calendar may be merged to create a shadow calendar.

Abstract: Methods, systems, and computer program products are provided that enable users to provide explicit declarations that are used to generate recommendations for the users. An explicit declaration is received from a user of a user device. The explicit declaration is configured to influence a subsequent recommendation. The words of the explicit declaration are processed to generate a record. A recommendation rule is generated based on the generated record. The recommendation rule is executed to generate a recommendation for the user. The generated recommendation is provided to the user.

Abstract: Methods, systems, and computer program products are provided that enable users to provide explicit declarations that are used to generate recommendations for the users. An explicit declaration is received from a user of a user device. The explicit declaration is configured to influence a subsequent recommendation. The words of the explicit declaration are processed to generate a record. A recommendation rule is generated based on the generated record. The recommendation rule is executed to generate a recommendation for the user. The generated recommendation is provided to the user.

Abstract: One or more techniques and/or systems are provided for surfacing scheduling conflicts and/or for facilitating appointment scheduling based upon conflict detection. A user may maintain user appointment data comprising user appointments (e.g., calendar entries within a work calendar). Because user activity may not be fully reflected in the appointment data (e.g., no calendar entries for routine grocery shopping, soccer practice, etc.), potential conflicts may exist between user appointments and the true availability of the user. Accordingly, user signals (e.g., email(s), location check-ins, etc. associated with soccer practice) may be evaluated to generate a user inferred behavior pattern that may be used to identify a potential conflict with a user appointment (e.g., where the user consents to the gathering and/or use of such user signals). A warning of the potential conflict may be surfaced to the user (e.g., a Tuesday dinner calendar meeting conflicts with routine soccer practice on Tuesday evenings).

Abstract: Methods, systems, and computer program products are provided that enable users to provide explicit declarations that are used to generate recommendations for the users. An explicit declaration is received from a user of a user device. The explicit declaration is configured to influence a subsequent recommendation. The words of the explicit declaration are processed to generate a record. A recommendation rule is generated based on the generated record. The recommendation rule is executed to generate a recommendation for the user. The generated recommendation is provided to the user.

Abstract: One or more techniques and/or systems are provided for constructing a complementary calendar and/or a shadow calendar. A user may maintain a primary calendar within which the user may schedule user specified tasks and/or meetings, but may inadvertently omit other entries. Accordingly, a complementary calendar may be constructed based upon inferences derived from user signal data (e.g., information used to identify/infer activities of the user, such as social network profile information, messages, temporal information, locational information, documents, etc.). The complementary calendar may be automatically populated with entries corresponding to inferences derived from user signals and/or real-time conditions (e.g., weather, store hours, traffic conditions, etc.). The primary calendar and the complementary calendar may be merged to create a shadow calendar.