Document worth reading: “A Survey on Session-based Recommender Systems”

Session-based recommender strategies (SBRS) are an rising matter inside the recommendation space and have attracted lots consideration from every academia and commerce in current instances. Most of current works solely work on modelling the general item-level dependency for recommendation duties. However, there are numerous further completely different challenges at completely completely different ranges, e.g., merchandise attribute diploma and session diploma, and from diverse views, e.g., merchandise heterogeneity and intra- and inter-item attribute coupling relations, associated to SBRS. In this paper, we provide a scientific and full overview on SBRS and create a hierarchical and in-depth understanding of numerous challenges in SBRS. To be specific, we first illustrate the worth and significance of SBRS, adopted by a hierarchical framework to categorize the related evaluation factors and techniques of SBRS and to reveal its intrinsic challenges and complexities. Further, a summary together with an in depth introduction of the evaluation progress is provided. Lastly, we share some prospects on this evaluation area. A Survey on Session-based Recommender Systems