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Interactive path reasoning on graph for conversational recommendation
Traditional recommendation systems estimate user preference on items from past interaction
history, thus suffering from the limitations of obtaining fine-grained and dynamic user …
history, thus suffering from the limitations of obtaining fine-grained and dynamic user …
Open-retrieval conversational question answering
Conversational search is one of the ultimate goals of information retrieval. Recent research
approaches conversational search by simplified settings of response ranking and …
approaches conversational search by simplified settings of response ranking and …
Adapting user preference to online feedback in multi-round conversational recommendation
This paper concerns user preference estimation in multi-round conversational recommender
systems (CRS), which interacts with users by asking questions about attributes and …
systems (CRS), which interacts with users by asking questions about attributes and …
Evaluating conversational recommender systems via user simulation
Conversational information access is an emerging research area. Currently, human
evaluation is used for end-to-end system evaluation, which is both very time and resource …
evaluation is used for end-to-end system evaluation, which is both very time and resource …
Learning to ask appropriate questions in conversational recommendation
Conversational recommender systems (CRSs) have revolutionized the conventional
recommendation paradigm by embracing dialogue agents to dynamically capture the fine …
recommendation paradigm by embracing dialogue agents to dynamically capture the fine …
[PDF][PDF] Towards explainable conversational recommendation
Recent studies have shown that both accuracy and explainability are important for
recommendation. In this paper, we introduce explainable conversational recommendation …
recommendation. In this paper, we introduce explainable conversational recommendation …
Relevance Feedback with Brain Signals
The Relevance Feedback (RF) process relies on accurate and real-time relevance
estimation of feedback documents to improve retrieval performance. Since collecting explicit …
estimation of feedback documents to improve retrieval performance. Since collecting explicit …
Lending interaction wings to recommender systems with conversational agents
An intelligent conversational agent (aka, chat-bot) could embrace conversational
technologies to obtain user preferences online, to overcome inherent limitations of …
technologies to obtain user preferences online, to overcome inherent limitations of …
Learning to infer user implicit preference in conversational recommendation
Conversational recommender systems (CRS) enable traditional recommender systems to
interact with users by asking questions about attributes and recommending items. The …
interact with users by asking questions about attributes and recommending items. The …
Engineering conversational search systems: A review of applications, architectures, and functional components
Conversational search systems enable information retrieval via natural language
interactions, with the goal of maximizing users' information gain over multiple dialogue turns …
interactions, with the goal of maximizing users' information gain over multiple dialogue turns …