An anatomization of research paper recommender system: Overview, approaches and challenges
The purpose of this study is to present an exhaustive analysis on research paper
recommender systems which have become very popular and gained a lot of research …
recommender systems which have become very popular and gained a lot of research …
An analytic approach to separate users by introducing new combinations of initial centers of clustering
R Rashidi, K Khamforoosh, A Sheikhahmadi - Physica A: statistical …, 2020 - Elsevier
In the recommender systems, the users evaluate and rate data items and assign quantitative
indices to them; consequently, a comprehensive database called rating matrix is created. In …
indices to them; consequently, a comprehensive database called rating matrix is created. In …
Preprocessing framework for scholarly big data management
Big data technologies have found applications in disparate domains. One of the largest
sources of textual big data is scientific documents and papers. Scholarly big data has been …
sources of textual big data is scientific documents and papers. Scholarly big data has been …
From Model Predictive to Hierarchized Hybrid Controller for Energy Management in Buildings
M Ahmad, N Moubayed - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
Energy is the major resource in this whole world; however, it has been extensively used by
buildings. In this paper, the concept of building's energy management is highlighted by …
buildings. In this paper, the concept of building's energy management is highlighted by …
A Bisociated Domain-Based Serendipitous Novelty-Recommendation Technique for Recommender Systems
Traditional recommendation paradigms such as content-based filtering (CBF) tend to
recommend items that are very similar to user profile characteristics and item input, resulting …
recommend items that are very similar to user profile characteristics and item input, resulting …
A Spark ML driven preprocessing approach for deep learning based scholarly data applications
Big data has found applications in multiple domains. One of the largest sources of textual big
data is scientific documents and papers. Big scholarly data have been used in numerous …
data is scientific documents and papers. Big scholarly data have been used in numerous …