[HTML][HTML] Search strategy formulation for systematic reviews: Issues, challenges and opportunities
Systematic literature reviews play a vital role in identifying the best available evidence for
health and social care research, policy, and practice. The resources required to produce …
health and social care research, policy, and practice. The resources required to produce …
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 …
[PDF][PDF] Simulation-based Active Learning for Systematic Reviews: A Systematic Review of the Literature
This study investigated the utility of active learning in accelerating the systematic review
process. We systematically reviewed literature from 2006 onwards, using the open-source …
process. We systematically reviewed literature from 2006 onwards, using the open-source …
Improving conversational recommender systems via transformer-based sequential modelling
In Conversational Recommender Systems (CRSs), conversations usually involve a set of
related items and entities eg, attributes of items. These items and entities are mentioned in …
related items and entities eg, attributes of items. These items and entities are mentioned in …
Tutorial on conversational recommendation systems
Recent years have witnessed the emerging of conversational systems, including both
physical devices and mobile-based applications. Both the research community and industry …
physical devices and mobile-based applications. Both the research community and industry …
Users meet clarifying questions: Toward a better understanding of user interactions for search clarification
The use of clarifying questions (CQs) is a fairly new and useful technique to aid systems in
recognizing the intent, context, and preferences behind user queries. Yet, understanding the …
recognizing the intent, context, and preferences behind user queries. Yet, understanding the …
Reducing biases towards minoritized populations in medical curricular content via artificial intelligence for fairer health outcomes
Biased information (recently termed bisinformation) continues to be taught in medical
curricula, often long after having been debunked. In this paper, we introduce bricc, a first-in …
curricula, often long after having been debunked. In this paper, we introduce bricc, a first-in …
Community answer recommendation based on heterogeneous semantic fusion
Y Wu, H Yin, Q Zhou, J Dong, D Wei, D Liu - Expert Systems with …, 2024 - Elsevier
The community question-answering system has gradually replaced the search engine as the
primary way for people to acquire and share knowledge. Users' interactive behavior …
primary way for people to acquire and share knowledge. Users' interactive behavior …
Content-oriented or persona-oriented? A text analytics of endorsement strategies on public willingness to participate in citizen science
This paper applies text analytics to study how the orientation of an endorsement strategy
affects the public's willingness to participate in citizen science projects. Using 850 citizen …
affects the public's willingness to participate in citizen science projects. Using 850 citizen …
Knowledge-Enhanced Conversational Recommendation via Transformer-Based Sequential Modeling
In conversational recommender systems (CRSs), conversations usually involve a set of
items and item-related entities or attributes, eg, director is a related entity of a movie. These …
items and item-related entities or attributes, eg, director is a related entity of a movie. These …