[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 …
How to approach ambiguous queries in conversational search: A survey of techniques, approaches, tools, and challenges
K Keyvan, JX Huang - ACM Computing Surveys, 2022 - dl.acm.org
The advent of recent Natural Language Processing technology has led human and machine
interactions more toward conversation. In Conversational Search Systems (CSS) like …
interactions more toward conversation. In Conversational Search Systems (CSS) like …
Conversational information seeking
Conversational information seeking (CIS) is concerned with a sequence of interactions
between one or more users and an information system. Interactions in CIS are primarily …
between one or more users and an information system. Interactions in CIS are primarily …
Sensecape: Enabling multilevel exploration and sensemaking with large language models
People are increasingly turning to large language models (LLMs) for complex information
tasks like academic research or planning a move to another city. However, while they often …
tasks like academic research or planning a move to another city. However, while they often …
Towards human-centered proactive conversational agents
Recent research on proactive conversational agents (PCAs) mainly focuses on improving
the system's capabilities in anticipating and planning action sequences to accomplish tasks …
the system's capabilities in anticipating and planning action sequences to accomplish tasks …
Few-shot conversational dense retrieval
Dense retrieval (DR) has the potential to resolve the query understanding challenge in
conversational search by matching in the learned embedding space. However, this …
conversational search by matching in the learned embedding space. However, this …
TREC CAsT 2019: The conversational assistance track overview
The Conversational Assistance Track (CAsT) is a new track for TREC 2019 to facilitate
Conversational Information Seeking (CIS) research and to create a large-scale reusable test …
Conversational Information Seeking (CIS) research and to create a large-scale reusable test …
Pre-training methods in information retrieval
The core of information retrieval (IR) is to identify relevant information from large-scale
resources and return it as a ranked list to respond to user's information need. In recent years …
resources and return it as a ranked list to respond to user's information need. In recent years …
Building and evaluating open-domain dialogue corpora with clarifying questions
Enabling open-domain dialogue systems to ask clarifying questions when appropriate is an
important direction for improving the quality of the system response. Namely, for cases when …
important direction for improving the quality of the system response. Namely, for cases when …
Grounded conversation generation as guided traverses in commonsense knowledge graphs
Human conversations naturally evolve around related concepts and scatter to multi-hop
concepts. This paper presents a new conversation generation model, ConceptFlow, which …
concepts. This paper presents a new conversation generation model, ConceptFlow, which …