Recommender systems are a popular and a highly researched way of helping users get to their desired content in the huge amount of available data, and services online. Understanding the situation in which users consume the items was shown to improve the recommendation process. For that reason, context-aware recommender system (CARS) employs contextual information in order to enhance the user’s m...

We explore whether one can $T \overline{T}$ deform a collection of theories that are already \overline{T}$-deformed. This allows us to define classes irrelevant deformations know about subsystems. In some basic cases, we the spectrum results from this procedure and provide numerical evidence in favor modular invariance. also study flow classical Lagrangian for free bosons fermions under success...

Park and ride (P&R) facilities provide intermodal transfer between private vehicles public transportation systems to alleviate urban congestion. This study developed a mathematical programming formulation for determining P&R facility locations. A recently Weibit-based model was adopted represent the traveler choice behavior with heterogeneity. The model’s independence of irrelevant alte...

This study compares the performances of two sampling-based strategies for simultaneous estimation first- and total-order variance-based sensitivity indices (a.k.a. Sobol’ indices). The first strategy corresponds to current approach employed by practitioners recommended in literature. second one was only recently introduced last authors present article. Both rely on different estimators indices....