Understanding User Intent Modeling for Conversational Recommender Systems: A Systematic Literature Review

Context: User intent modeling is a crucial process in Natural Language Processing that aims to identify the underlying purpose behind a user's request, enabling personalized responses. With a vast array of approaches introduced in the literature (over 13,000 papers in the last decade), understanding the related concepts and commonly used models in AI-based systems is essential. Method: We conducted a systematic literature review to gather data on models typically employed in designing conversational recommender systems. From the collected data, we developed a decision model to assist researchers in selecting the most suitable models for their systems. Additionally, we performed two case studies to evaluate the effectiveness of our proposed decision model. Results: Our study analyzed 59 distinct models and identified 74 commonly used features. We provided insights into potential model combinations, trends in model selection, quality concerns, evaluation measures, and frequently used datasets for training and evaluating these models. Contribution: Our study contributes practical insights and a comprehensive understanding of user intent modeling, empowering the development of more effective and personalized conversational recommender systems. With the Conversational Recommender System, researchers can perform a more systematic and efficient assessment of fitting intent modeling frameworks

Digital Platform Regulation

This Open Access volume provides an in-depth exploration of global policy and governance issues related to digital platform regulation. With an international ensemble of contributors, the volume has at its heard the question: what would actually be involved in digital platform regulation?’. Once a specialised and niche field within internet and digital media studies, internet governance has in recent years moved to the forefront of policy debate. In the wake of scandals such as Cambridge Analytica and the global ‘techlash’ against digital monopolies, platform studies are undergoing a critical turn, but there is a greater need to connect such analysis to questions of public policy. This volume does just that, through a rich array of chapters concretely exploring the operation and influence of digital platforms and their related policy concerns. A wide variety of digital communication platforms are explored, including social media, content portals, search engines and app stores. An important and timely work, ‘Digital Platform Regulation’ provides valuable insights into new global platform-orientated policy reforms, supplying an important resource to researchers everywhere seeking to engage with policymakers in the debate about the power of digital platforms and how to address it