EqBal-RS: Mitigating popularity bias in recommender systems

S Gupta, K Kaur, S Jain - Journal of Intelligent Information Systems, 2024 - Springer
Recommender systems are deployed heavily by many online platforms for better user
engagement and providing recommendations. Despite being so popular, several works …

Addressing the complexity of personalized, context-aware and health-aware food recommendations: an ensemble topic modelling based approach

MA Khan, B Smyth, D Coyle - Journal of Intelligent Information Systems, 2021 - Springer
Abstract Food Recommender Systems (FRS) have the potential to support informed and
satisfying food choices. However, to realize their full potential, FRS must engage with the …

A hybrid deep neural network for multimodal personalized hashtag recommendation

S Bansal, K Gowda, N Kumar - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Users share information on social media platforms by posting visual and textual contents.
Due to the massive influx of user-generated content, hashtags are extensively used to …

Optimizing sentiment classification for Arabic opinion texts

RMK Saeed, S Rady, TF Gharib - Cognitive Computation, 2021 - Springer
Meanwhile, products and services reviews' provide a guide for potential customers allowing
them to reach real knowledge about such products/services while making decisions …

VSTAR: visual semantic thumbnails and tAgs revitalization

S Carta, A Giuliani, L Piano, AS Podda… - Expert Systems with …, 2022 - Elsevier
Nowadays, video-sharing portals' popularity has entailed massive growth in data uploads
over the Internet. For several applications (eg, browsing, retrieval, or recommendation of …

“Fixing the curse of the bad product descriptions”–Search-boosted tag recommendation for E-commerce products

FM Belem, RM Silva, CMV de Andrade… - Information Processing …, 2020 - Elsevier
Various e-commerce platforms allow sellers to register, describe and organize their own
products, using tags and other textual metadata. The quality of these textual descriptors is …

Natural Language Processing for Analyzing Online Customer Reviews: A Survey, Taxonomy, and Open Research Challenges

N Malik, M Bilal - 2023 - preprints.org
In recent years, e-commerce platforms have replaced conventional marketplaces. People
are fast adopting online shopping since they can purchase from home. Online review sites …

CulturAI: Semantic Enrichment of Cultural Data Leveraging Artificial Intelligence

SM Carta, S Consoli, A Giuliani, AS Podda… - IEEE …, 2022 - ieeexplore.ieee.org
In this paper, we propose an innovative tool able to enrich cultural and creative spots (gems,
hereinafter) extracted from the European Commission Cultural Gems portal, by suggesting …

TagIT: a system for image auto-tagging and clustering

A Katiyar, V Srividya, BK Tripathy - Data Engineering and Intelligent …, 2021 - Springer
In today's world, most of the things we buy, whether we talk about buying apparels, home
decor or kitchen utensils, are through the online mode. E-commerce websites play a major …

Improving recommendation diversity and serendipity with an Ontology-based algorithm for cold start environments

S Kuznetsov, P Kordík - International Journal of Data Science and …, 2023 - Springer
Every real-life environments where users interact with items (products, films, research expert
profiles) have several development phases. In the Cold-start phase, there are almost no …