A Re-classification of Information Seeking Tasks and Their Computational Solutions
arXiv:1909.12425 · doi:10.1145/3497875
Abstract
This article presents a re-classification of information seeking (IS) tasks, concepts, and algorithms. The proposed taxonomy provides new dimensions to look into information seeking tasks and methods. The new dimensions include the number of search iterations, search goal types, and procedures to reach these goals. Differences along these dimensions for the information seeking tasks call for suitable computational solutions. The article then reviews machine learning solutions that match each new category. The paper ends with a review of evaluation campaigns for IS systems.
arXiv commentAccepted to ACM TOIS in Nov 2021
References in corpus (18)
- Neural Machine Translation by Jointly Learning to Align and Translate
- Continuous control with deep reinforcement learning
- Trust Region Policy Optimization
- A Contextual-Bandit Approach to Personalized News Article Recommendation
- A Neural Conversational Model
- Conversational AI: The Science Behind the Alexa Prize
- An Information Retrieval Approach to Short Text Conversation
- Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems
- Neural Approaches to Conversational AI
- Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions
- Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions
- Attentive Memory Networks: Efficient Machine Reading for Conversational Search
- Multi-step Retriever-Reader Interaction for Scalable Open-domain Question Answering
- TREC CAsT 2019: The Conversational Assistance Track Overview
- Dagstuhl Perspectives Workshop 24352 -- Conversational Agents: A Framework for Evaluation (CAFE): Manifesto
- Balancing Reinforcement Learning Training Experiences in Interactive Information Retrieval
- A Reinforcement Learning-driven Translation Model for Search-Oriented Conversational Systems
- Query Tracking for E-commerce Conversational Search: A Machine Comprehension Perspective