Abstract: In accordance with the technique described herein, a home shopping content suitable for a specific viewer can be dynamically selected and provided using viewing histories of a home shopping channel. Particularly, a home shopping content in which a large number of viewers are interested can be provided by dynamically selecting a home shopping content using product classification groups specified for receivers using an interest index calculated based on a bounce rate defined by the technique described herein.

Abstract: There is provided a bounce rate measuring apparatus for a broadcasting service. The bounce rate measuring apparatus includes programs that are stored in memories and executed by processors. The programs include a first instruction for generating service provision information on provision of channels of broadcasting service; a second instruction for analyzing the service provision information to determine a first number based on the number of times that each channel is provided for a time period longer than or equal to a first threshold during a predetermined period and a second number based on the number of times that each channel is provided for a time period longer than or equal to the first threshold and shorter than or equal to a second threshold during the predetermined period; and a third instruction for extracting bounce rate information of each channel based on the first number and the second number.

Abstract: There is provided a device for providing personalized advertisements, the device including: a communicator; a personalized playlist processor configured to perform: (a) receiving a playlist of content from a system for providing the content through streaming; and (b) generating a personalized playlist including a uniform resource identifier (URI) of personalized advertising content based on the playlist; a content processor configured to receive the content and the personalized advertising content through the communicator using the personalized playlist, perform signal processing on the content and the personalized advertising content, and provide the content and the personalized advertising content; and a controller configured to control operations of the communicator, the personalized playlist processor, and the content processor.

Abstract: In accordance with the technique described herein, a home shopping content suitable for a specific viewer can be dynamically selected and provided using a product classification group of interest extracted based on the time at which a viewer selects a home shopping channel and the time at which the viewer leaves the home shopping channel. In particular, since the product classification group of interest can be extracted using an interest index calculated based on a bounce rate defined according to the technique described herein, the more personalized home shopping content can be provided to the viewer.

Abstract: There is provided a bounce rate measuring apparatus for measuring a bounce rate of a broadcasting service using service provision information generated based on a viewer's behavior of selecting a channel and leaving the channel. For example, the bounce rate related to a specific channel of the broadcasting service may be measured, the bounce rate related to a specific receiver may be measured, or the bounce rate related to a specific content provided through the broadcasting service may be measured. In addition, it is possible to more efficiently evaluate the quality of the broadcasting service or understand a viewer's interest based on the measured bounce rates of the broadcasting service.

Abstract: There is provided a bounce rate measuring apparatus for measuring a bounce rate of a broadcasting service using service provision information generated based on a viewer's behavior of selecting a channel and leaving the channel. For example, the bounce rate related to a specific channel of the broadcasting service may be measured, the bounce rate related to a specific receiver may be measured, or the bounce rate related to a specific content provided through the broadcasting service may be measured. In addition, it is possible to more efficiently evaluate the quality of the broadcasting service or understand a viewer's interest based on the measured bounce rates of the broadcasting service.

Abstract: There is provided a bounce rate measuring apparatus for a broadcasting service. The bounce rate measuring apparatus includes programs that are stored in memories and executed by processors. The programs include a first instruction for generating service provision information on provision of channels of broadcasting service; a second instruction for analyzing the service provision information to determine a first number based on the number of times that each channel is provided for a time period longer than or equal to a first threshold during a predetermined period and a second number based on the number of times that each channel is provided for a time period longer than or equal to the first threshold and shorter than or equal to a second threshold during the predetermined period; and a third instruction for extracting bounce rate information of each channel based on the first number and the second number.

Abstract: In accordance with the technique described herein, a home shopping content suitable for a specific viewer can be dynamically selected and provided using a product classification group of interest extracted based on the time at which a viewer selects a home shopping channel and the time at which the viewer leaves the home shopping channel. In particular, since the product classification group of interest can be extracted using an interest index calculated based on a bounce rate defined according to the technique described herein, the more personalized home shopping content can be provided to the viewer.

Abstract: In accordance with the technique described herein, a home shopping content suitable for a specific viewer can be dynamically selected and provided using viewing histories of a home shopping channel. Particularly, a home shopping content in which a large number of viewers are interested can be provided by dynamically selecting a home shopping content using product classification groups specified for receivers using an interest index calculated based on a bounce rate defined by the technique described herein.