The novel feature of this work is that the system learns and uses models of both user preferences and the user's intentional context. Both learning types are ...

We propose a hybrid learning approach to provide au- tomated assistance for personalized product recommenda- tion. The novel feature of this work is that ...

We propose a product recommendation scheme based on an analysis on both the preference and intentional context model. An empirical analysis shows that the ...

Jan 18, 2023 · Ecommerce product recommendations are personalized using AI models to provide relevant and valuable suggestions for what searchers need next.

Feb 15, 2024 · This paper proposes a fusion recommendation algorithm based on frequent item set mining to tackle this problem by compressing the commodity data ...

Oct 26, 2023 · It recommends products that users may be interested in by analyzing their historical behavior, personal preferences, and other factors.

Problem definition: We study personalized product recommendations on platforms when customers have unknown preferences. Importantly, customers may disengage ...

Jan 28, 2025 · Recommendation engine algorithms power personalized experiences by analyzing user data to predict relevant content, products, or services.

Powered by machine learning, a product recommender system is the technology used to suggest which products are shown to individuals interacting with a brand's ...

Oct 31, 2023 · Personalized product recommendations represent a sophisticated mechanism designed to propose items, content, or services tailored to individual users.