Optimizing item and subgroup configurations for social-aware VR shopping

Shopping as a Social Activity: Understanding People's Categorical Item Sharing Preferences on Social Networks

Social commerce connects people’s shopping activities with their social communities. Much work has leveraged social network data to promote sales of products and services. However, less is known about the impact of shopping activities on people’s social relationships. This paper serves as foundational work in the field and addresses this gap by exploring people’s preferences in sharing products...

Linking Shopping and Social Networking: Approaches to Social Shopping

Optimizing Computer System Configurations

We present a quantitative method for selecting optimum configurations of computer systems. For each configuration we specify a set of requirements reflecting user’s needs. The level of satisfaction of requirements is called the global preference score. Using this indicator and the total cost of each configuration we solve the following optimization problems: (1) select a configuration which max...

Context-Aware Recommendations for Mobile Shopping

This paper presents a context-aware mobile shopping recommender system. A critique-based baseline recommender system is enhanced by the integration of context conditions like weather, time, temperature and the user’s company. These context conditions are embedded into the recommendation algorithm via preand post-filtering. A nearest neighbor algorithm, using the concept of an average selection ...

Numerical method for optimizing stirrer configurations

A numerical approach for the numerical optimization of stirrer configurations is presented. The methodology is based on a parametrized grid generator, a flow solver, and a mathematical optimization tool, which are integrated into an automated procedure. The flow solver is based on the discretization of the Navier-Stokes equations by means of the finite-volume method for block-structured, bounda...