Recommender systems have been regarded as gaining a more significant role with the emergence of the first research article on collaborative filtering (CF) in the mid-1990s. CF …
A Taneja, A Arora - Expert Systems with Applications, 2018 - Elsevier
In the era of social media, exponential growth of information generated by online social media and e-commerce applications demands expert and intelligent recommendation …
Although the matrix completion paradigm provides an appealing solution to the collaborative filtering problem in recommendation systems, some major issues, such as data sparsity and …
With the exponential rise in the size of data being generated, personalization based on recommender systems has become an important aspect of digital marketing strategy of E …
BM Shoja, N Tabrizi - IEEE access, 2019 - ieeexplore.ieee.org
An essential prerequisite of an effective recommender system is providing helpful information regarding users and items to generate high-quality recommendations. Written …
Human activity prediction is an interesting problem with a wide variety of applications like intelligent virtual assistants, contextual marketing, etc. One formulation of this problem is …
Fashion knowledge encourages people to properly dress and faces not only physiological necessity of users, but also the requirement of social practices and activities. It usually …
Cellular service providers add carriers in the network in order to support the increasing demand in voice and data traffic and provide good quality of service to the users. Addition of …
Graph Neural Networks (GNNs) have shown great promise in learning node embeddings for link prediction (LP). While numerous studies aim to improve the overall LP performance of …