Application of fuzzy inference models in the web recommending interface design

Features of web-based recommending systems can be considered both from the perspective of providing access to certain options or from the commercial applications and marketing. Due to different applications different objectives and criteria for their evaluation, and application areas can be distinguished here. In the case of online platforms focused on business goals recommending interfaces play an important role that provide matching products to customer preference. Research areas related to recommending systems have usually focused on algorithmic layer and mechanisms of selection of offers. More and more often, attention is also drawn to the way of visualization offers and presentation layer. The article examines the design of recommending interfaces focused on certain acquisition-oriented interaction with a receiver, and the use of mechanisms of selection of the level of influence and persuasion. The solution enables the selection of design options, and multi-criteria assessment of the effects, which is meant to take into account both business purpose and customer satisfaction level