Abstract: An electronic device is provided. The electronic device includes a touch module, a motion sensor, a memory, and a control unit. The touch module is configured to generate a touch signal. The motion sensor is configured to detect motion of the electronic device to generate motion data. The memory stores a preset motion condition. The control unit is electrically connected to the touch module, the motion sensor, and the memory, and configured to: receive the motion data; and determine whether the motion data meets the preset motion condition or not, and generate a virtual touch signal when the motion data meets the preset motion condition. A control method applied to the electronic device is further provided.

Abstract: A interactive product recommendation method is provided, including: selecting a target product from the plurality of products; loading the product information of the target product; generating a product list according to the product characteristics corresponding to the target product and the user preferences corresponding to at least one user; generating a first label list based on at least one product characteristics corresponding to the target product and the user preferences corresponding to the user, where the first label list has a plurality of first labels corresponding to different product features; and displaying the product information, the product list and the first label list in a user interface. When clicking the icon, displaying another user interface corresponding to the clicked icon. When clicking the first label, updating the product list according to the clicked first label.

Abstract: An online cloud-based service processing system, an online evaluation method and a computer program product thereof are provided. The online evaluation method includes: running at least one application service unit of the processing system; executing at least one evaluation registration procedure for at least one application service evaluation unit of the processing system in response to at least one registration request; running the at least one application service evaluation unit; dispatching at least one online service request respectively to the at least one application service unit and the at least one application service evaluation unit, and generating at least one output result corresponding to the at least one online service request; and calculating at least one ranking for each of the at least one application service evaluation unit based on output result(s) generated by the at least one application service evaluation unit among the at least one output result.

Abstract: A interactive product recommendation method is provided, including: selecting a target product from the plurality of products; loading the product information of the target product; generating a product list according to the product characteristics corresponding to the target product and the user preferences corresponding to at least one user, where the product list includes a plurality of icons corresponding to different products; generating a first label list based on at least one product characteristics corresponding to the target product and the user preferences corresponding to the user, where the first label list has a plurality of first labels corresponding to different product features; and displaying the product information, the product list and the first label list in a user interface. When clicking the icon, displaying another user interface corresponding to the clicked icon. When clicking the first label, updating the product list according to the clicked first label.

Abstract: An online cloud-based service processing system, an online evaluation method and a computer program product thereof are provided. The online evaluation method includes: running at least one application service unit of the processing system; executing at least one evaluation registration procedure for at least one application service evaluation unit of the processing system in response to at least one registration request; running the at least one application service evaluation unit; dispatching at least one online service request respectively to the at least one application service unit and the at least one application service evaluation unit, and generating at least one output result corresponding to the at least one online service request; and calculating at least one ranking for each of the at least one application service evaluation unit based on output result(s) generated by the at least one application service evaluation unit among the at least one output result.

Abstract: A geographical location rendering method executed in a geographical location rendering system for identifying at least one semantic region is provided. A density clustering is performed on a plurality of user generated contents of respective geographical location name information to generate a plurality of region candidates. A name extraction is performed on the region candidates to extract and confirm a common region name of the region candidates as a name of the semantic region. A region scope of the region candidates is detected as a location scope of the semantic region according to a spatial density analysis.

Abstract: A mobile recommendation system for an exhibition space is provided. The mobile recommendation system includes a wireless communication module, a tracking module, a preference correlation module, and a recommendation module. The wireless communication module receives location information corresponding to a plurality of users. The tracking module stores the location information and generates a plurality of track records corresponding to the users according to the location information. The preference correlation module generates track correlation information between the users and the track records according to the track records. The recommendation module generates a recommendation list according to the track correlation information.

Abstract: A digital content reordering method and a digital content aggregator are provided, in which a reading behavior log and/or a social behavior log of a user are analyzed to obtain a preference factor of the user regarding digital contents in at least one content stream. The digital content reordering method and the digital content aggregator aggregate the at least one content stream into an aggregated stream and determine the order of the digital contents in the aggregated stream according to a time factor of the digital contents and the preference factor of the user regarding the digital contents. This reordering process allows the user to view the latest, the most related, and the most interesting digital contents first.

Abstract: A geographical location rendering method executed in a geographical location rendering system for identifying at least one semantic region is provided. A density clustering is performed on a plurality of user generated contents of respective geographical location name information to generate a plurality of region candidates. A name extraction is performed on the region candidates to extract and confirm a common region name of the region candidates as a name of the semantic region. A region scope of the region candidates is detected as a location scope of the semantic region according to a spatial density analysis.

Abstract: A mobile recommendation system for an exhibition space is provided. The mobile recommendation system includes a wireless communication module, a tracking module, a preference correlation module, and a recommendation module. The wireless communication module receives location information corresponding to a plurality of users. The tracking module stores the location information and generates a plurality of track records corresponding to the users according to the location information. The preference correlation module generates track correlation information between the users and the track records according to the track records. The recommendation module generates a recommendation list according to the track correlation information.