Implicit feedback awareness for session based recommendation in e-commerce
Abstract Information overload is a challenge in e-commerce platforms. E-shoppers may have
difficulty selecting the best product from the available options. Recommender systems (RS) …
difficulty selecting the best product from the available options. Recommender systems (RS) …
Session similarity based approach for alleviating cold-start session problem in e-commerce for Top-N recommendations
R Esmeli, M Bader-El-Den… - 12th International Joint …, 2020 - researchportal.port.ac.uk
Cold-start problem is one of the main challenges for the recommender systems. There are
many methods developed for traditional recommender systems to alleviate the drawback of …
many methods developed for traditional recommender systems to alleviate the drawback of …
ADKGN: An Attentive Dynamic Knowledge Graph Network for Sequential Recommendation
M Yao, L Song, Y Bi, W Wang, K Deng… - … Joint Conference on …, 2021 - ieeexplore.ieee.org
Sequential recommendation system's goal is to predict users' next actions based on their
historical behavior sequences. As we know, more recent items have a larger impact than the …
historical behavior sequences. As we know, more recent items have a larger impact than the …
Improved session-based recommender system by context awareness in e-commerce domain
R Esmeli, M Bader-El-Den… - 13th International …, 2021 - researchportal.port.ac.uk
Over the past two decades, there has been a rapid increase in the number of online sales.
This has resulted in an increase in the data collected about the users' behaviour which has …
This has resulted in an increase in the data collected about the users' behaviour which has …