DeepStore: an interaction-aware Wide&Deep model for store site recommendation with attentional spatial embeddings

Our data model is based on an extended version of the traditional TSV/CSV data model currently used in common recommendation frameworks and datasets.. DATA

In this paper we provided a comparison of recommender system datasets from different domains and we presented our SmartMedia news recommender system dataset which will be the

This paper aims to answer this question: are there significant relationships between the high monthly Acute Lower Respiratory Infection (ALRI) levels in children under five

In this paper, we address this issue by proposing an update strategy which uses an hybrid wavelet tree (using both pointer-based and pointerless sub-wavelet trees)..

Altogether, we conclude that CD-LCCA is helpful in estimating user preferences using auxiliary domain information in large-scale datasets; the baseline cross-domain algorithm that

Given the exploratory nature of queries in the scientific domains, the aspects should enable both schema navigation and data space exploration.. Sequential Aspects and

We compared three methodologies dedicated to the project planning and management We first address the issue of the renovation of old buildings and come up with a

In distributed data stores like P-Store, atomic multicast is used to order (possibly conflicting) concurrent transactions: When a node has finished its local execution of a