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Smart Shop Services for Building Customer-Oriented Scenarios

Krawczyk Henryk, Sobecki Andrzej

TASK Quarterly : scientific bulletin of Academic Computer Centre in Gdansk

2020

Vol. 24, No 3

221--242

The shops of today mostly support the customer by offering him or her products based on basic relationships between products viewed or ordered by users with similar tastes. This common approach may fail in many cases especially when the user does not have sufficient knowledge about the market, or when he or she wants to build a set of products in more than one shop. New categories of smart shop services are proposed in order to execute such customer-oriented scenarios where recommended products do meet mutual dependencies with products previously ordered by the customer. An attempt is made to collect additional information about the behavior of users (from past and current contexts) and represent it in a targeted graph called the customer-oriented scenario. Four types of such scenarios are distinguished depending on how many shops have been visited by the user before buying the expected products and how many products the user wants to buy. Moreover, the proposed scenario model provides the possibility of showing which services had been used by the user before the selection was made. Customer-oriented scenarios may be created post factum based on event data logs or before the user will use the shop, which means that it can be arranged which information, knowledge sources (internal or external), products or categories should be suggested in some context of the user's decision. The possibility of leveraging additional smart services into a traditional trading platform may help users, especially when they want to implement a complex scenario and order many products with mutual dependencies or in a situation when the user wants to understand the market before buying something. Using internal and external services allows creating a network for distributing knowledge focused on the actual customer context in a shop.

Knowledge engineering and diagnostics - today and tomorrow

Moczulski W.

Diagnostyka

2004

Vol. 30, T. 2

35--42

The paper addresses several issues concerning knowledge engineering in the context of technical diagnostics. The goal consists in preparing, verifying, validating and then implementing domain-specific knowledge, capable of aiding diagnosticians and other personnel in operating machinery and equipment. New trends in knowledge engineering focus our attention on discovering useful knowledge from huge databases that collect process data acquired from machinery, and making this knowledge even more easily available for humans. The paper concludes with discussion about prospective potential issues for next decades of this century.

W referacie omówiono kilka problemów inżynierii wiedzy widzianych w kontekście diagnostyki technicznej. Celem tego postępowania jest przygotowanie, zweryfikowanie, walidowanie a następnie zastosowanie wiedzy specyficznej dla danej dziedziny, która mogłaby wspomóc diagnostów i inny personel w prowadzeniu maszyn i urządzeń. Nowe trendy w inżynierii wiedzy skupiają naszą uwagę na odkrywaniu użytecznej wiedzy w ogromnych bazach danych zawierających dane procesowe zgromadzone dla maszyn, a także na zwiększeniu dostępności do tej wiedzy. W podsumowaniu przedstawiono przyszłe potencjalne zastosowania w kolejnych dekadach naszego wieku.