[HTML][HTML] Advances and challenges in conversational recommender systems: A survey
Recommender systems exploit interaction history to estimate user preference, having been
heavily used in a wide range of industry applications. However, static recommendation …
heavily used in a wide range of industry applications. However, static recommendation …
Human-centered recommender systems: Origins, advances, challenges, and opportunities
From the earliest days of the field, Recommender Systems research and practice has
struggled to balance and integrate approaches that focus on recommendation as a machine …
struggled to balance and integrate approaches that focus on recommendation as a machine …
Towards conversational recommender systems
K Christakopoulou, F Radlinski… - Proceedings of the 22nd …, 2016 - dl.acm.org
People often ask others for restaurant recommendations as a way to discover new dining
experiences. This makes restaurant recommendation an exciting scenario for recommender …
experiences. This makes restaurant recommendation an exciting scenario for recommender …
Q&R: A two-stage approach toward interactive recommendation
Recommendation systems, prevalent in many applications, aim to surface to users the right
content at the right time. Recently, researchers have aspired to develop conversational …
content at the right time. Recently, researchers have aspired to develop conversational …
Towards question-based recommender systems
Conversational and question-based recommender systems have gained increasing
attention in recent years, with users enabled to converse with the system and better control …
attention in recent years, with users enabled to converse with the system and better control …
Quantifying and mitigating popularity bias in conversational recommender systems
Conversational recommender systems (CRS) have shown great success in accurately
capturing a user's current and detailed preference through the multi-round interaction cycle …
capturing a user's current and detailed preference through the multi-round interaction cycle …
[PDF][PDF] Classifications of recommender systems: A review.
This paper presents the state of art techniques in recommender systems (RS). The various
techniques are diagrammatically illustrated which on one hand helps a naïve researcher in …
techniques are diagrammatically illustrated which on one hand helps a naïve researcher in …
[HTML][HTML] Towards psychology-aware preference construction in recommender systems: Overview and research issues
User preferences are a crucial input needed by recommender systems to determine relevant
items. In single-shot recommendation scenarios such as content-based filtering and …
items. In single-shot recommendation scenarios such as content-based filtering and …
Popcorn: Human-in-the-loop popularity debiasing in conversational recommender systems
Recent conversational recommender systems (CRS) provide a promising solution to
accurately capture a user's preferences by communicating with users in natural language to …
accurately capture a user's preferences by communicating with users in natural language to …
Preference elicitation strategy for conversational recommender system
B Priyogi - Proceedings of the twelfth ACM international …, 2019 - dl.acm.org
Traditionally, recommenders have been based on a single-shot model based on past user
actions. Conversational recommenders allow incremental elicitation of user preference by …
actions. Conversational recommenders allow incremental elicitation of user preference by …