Personalized recommendation schemes for DTV channel selectors

The emergence of new TV media such as digital cable and satellite has diversified TV contents. This makes the task of finding one´s favorite contents among hundreds of TV channels a time consuming job. To relieve this channel selection overhead, this paper presents personalized recommendation schemes for DTV channel selectors. The proposed recommendation schemes analyze each person´s previous watching behavior in terms of recency and frequency, and then utilize this information in the control of the top-down channel selector. Simulation studies show that the proposed schemes reduce the seek cost of the DTV channel selector by up to 62.8% for the trace set we considered