Abstract: A household appliance control method, device and system, and an intelligent air conditioner are provided. The method includes that: a sound source location is determined by means of a camera; voice information of a user is picked up according to the sound source location; and at least one control operation is performed on a household appliance according to the voice information. The voice information matches at least one corresponding control instruction. By means of the method, a location of at least one user can be detected according to the camera, thereby enhancing at least one pickup audio signal at the location of the at least one user.

Abstract: A household appliance control method, device and system, and an intelligent air conditioner are provided. The method includes that: a sound source location is determined by means of a camera; voice information of a user is picked up according to the sound source location; and at least one control operation is performed on a household appliance according to the voice information. The voice information matches at least one corresponding control instruction. By means of the method, a location of at least one user can be detected according to the camera, thereby enhancing at least one pickup audio signal at the location of the at least one user.

Abstract: Techniques describe constructing a location and activity recommendation model to identify relationships between locations and activities. To construct the model, the process obtains global positioning system (GPS) logs of geographical locations collected over time and identifies stay points representing locations visited by an individual user. The process also identifies points of interest in a region using a database and correlates a relationship between activity to activity by submitting queries to a search engine. The information gathered is used to fill locations and activities in a location-activity matrix. Recommendations may be made for a location and/or activity when given a user query, based on a user's present geographical location, or a prediction of a user's interest.

Abstract: Techniques describe constructing a location and activity recommendation model to identify relationships between locations and activities. To construct the model, the process obtains global positioning system (GPS) logs of geographical locations collected over time and identifies stay points representing locations visited by an individual user. The process also identifies points of interest in a region using a database and correlates a relationship between activity to activity by submitting queries to a search engine. The information gathered is used to fill locations and activities in a location-activity matrix. Recommendations may be made for a location and/or activity when given a user query, based on a user's present geographical location, or a prediction of a user's interest.