Books > Business & Economics > Business & management > Sales & marketing
|
Buy Now
Providing Actionable Recommendations (Paperback)
Loot Price: R1,860
Discovery Miles 18 600
You Save: R133
(7%)
|
|
Providing Actionable Recommendations (Paperback)
Expected to ship within 10 - 15 working days
|
Recommender systems (RS) are intended to assist consumers by making
choices from a large scope of items. By recommending items with a
high likelihood of suiting a consumer's needs or preferences, they
are able to considerably mitigate the information overload problem
at the user's side, thus increasing their trust in, satisfaction
with, and loyalty to RS providers, such as online shops, internet
music catalogs, and online DVD rental services. However,
recommendations are prone to errors and often fail to address
consumers' context specific needs. Explanations of the underlying
reasons behind recommendations can allow users to handle
algorithmic errors in recommendations and to better judge their
suitability for the users' current decision contexts, thus
increasing the choice efficiency and effectiveness. The latter, in
turn, increases the users' acceptance of and satisfaction with RS,
as well as it positively affects consumers' trust in, loyalty to,
and credibility of RS providers. However, in order for these
benefits of explanation facilities to surface, they should explain
the recommendations in such terms that the consumers themselves use
when evaluating their choices. The latter sets restrictions upon
recommendation algorithms constraining them with respect to how
recommendations should be produced and what information they should
rely on. This interaction between RS and explanation facilities,
however, was not covered by recent research on RS. Therefore, the
aim of the current thesis is to narrow this gap and to develop a
recommendation technique that accounts for the concurrent
objectives of RS, i. e., a method which is capable of providing
both accurately predicted recommendations and actionable
explanations of the reasons behind them, so that the recommendation
process is aligned with the user preference structures.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
|
|
Email address subscribed successfully.
A activation email has been sent to you.
Please click the link in that email to activate your subscription.