The music industry can re-engage musical audiences by making the
online music consumption and recommendation process more personal,
through a number of music recommender services that take into account a
service user's personal tastes. These recommendation engines, based on
machine learning technology, work by providing personalised music
listening experiences using data about the user's preferences and
behaviour, as determined by the user's past ranking associations on the
service, without the service having to ask for it explicitly. This
personalised experience empowers the industry to generate increased,
targeted exposure for artists and devise more efficient marketing
strategies overall.
The
need for personalisation is due in large part to the dramatic digital
developments that the music industry has undergone in recent years.
Prior to the digital age, audiences had little input into the workings
of the music industry; influential decisions about which artists would
receive the most promotion belonged to a restricted number of
"gatekeepers" such as record label executives and artist managers within
the music industry. Digital media has transformed this relationship,
giving individual users the ability to define their own music
consumption experience. The large digital music catalogues have freed
music consumers from the restriction of a limited musical offering, but
has also left them disoriented amidst the vast number of choices there
now have. Consequently, the efficiency and growth of music recommender
services is important as they allow listeners to discover new music that
they enjoy through a musical experience that is tailored to their
specific tastes, exposing them to emerging and unknown artists, and
possibly enabling the user to financially support these artists by
purchasing their art as well.
A personalised experience also
benefits the music business, as the digitization has given the industry
global market reach and reduced the weight of physical distribution
barriers to new audiences. Personalisation is used as a powerful
marketing tool, to exploit the potential of these new markets and their
demographics by using a detailed understanding of different audiences'
tastes and preferences. This development benefits all music industry
parties, primarily through the generation of greater listening figures
and increased revenue for record labels, artists, managers, as well as
more satisfaction for fans.
The benefits of website
personalisation are not restricted to the music business and its
constituents, as successful recommendations benefit customers on all
websites by providing them with items they are bound to be interested
in, and in some cases, suggesting items the user was not aware of to
begin with.
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