A5017282307- Information Retrieval and Search Behavior
- Semantic Web and Ontologies
- Topic Modeling
- Web Data Mining and Analysis
- Data Management and Algorithms
- Advanced Image and Video Retrieval Techniques
- Speech and dialogue systems
- Advanced Text Analysis Techniques
- Expert finding and Q&A systems
- Natural Language Processing Techniques
- Image Retrieval and Classification Techniques
- Context-Aware Activity Recognition Systems
- Video Analysis and Summarization
- Personal Information Management and User Behavior
- Recommender Systems and Techniques
- Geographic Information Systems Studies
- Text and Document Classification Technologies
- AI in Service Interactions
- Multimodal Machine Learning Applications
- Mobile Crowdsensing and Crowdsourcing
- Data Quality and Management
- Innovative Human-Technology Interaction
- Mathematics, Computing, and Information Processing
- Advanced Database Systems and Queries
- Usability and User Interface Design
University of Tsukuba
2015-2024
Nanyang Technological University
2022
University of Glasgow
2006-2010
University of Sheffield
2000-2007
Place names are often used to describe and enquire about geographical information. It is common for users employ vernacular that have vague spatial extent which do not correspond the official administrative place name terminology recorded within typical gazetteers. There a need therefore enrich gazetteers with knowledge of such places hence improve quality name‐based information retrieval. Here we method modelling using harvested from Web pages. found frequently accompanied in text by more...
Much of the information stored on web contains geographical context, but current search engines treat such context in same way as all other content. In this paper we describe design, implementation and evaluation a spatially aware engine which is capable handling queries form triplet ⟨theme⟩⟨spatial relationship⟩⟨location⟩. The process identifying geographic references documents assigning appropriate footprints to documents, be together with document terms an indexing structure allowing...
We conducted a laboratory-based observational study where pairs of people performed search tasks communicating verbally. Examination the discourse allowed commonly used interactions to be identified for Spoken Conversational Search (SCS). compared existing models behaviour. find that SCS is more complex and interactive than traditional search. This work enhances our understanding different behaviours proposes research opportunities an audio-only system. Future will focus on creating...
The Lifelog Search Challenge (LSC) is an international content retrieval competition that evaluates search for personal lifelog data. At the LSC, content-based performed over a multi-modal dataset, continuously recorded by lifelogger 27 days, consisting of multimedia content, biometric data, human activity and information activities In this work, we report on first LSC took place in Yokohama, Japan 2018 as special workshop at ACM International Conference Multimedia Retrieval (ICMR 2018). We...
Test collections have a long history of supporting repeatable and comparable evaluation in Information Retrieval (IR). However, thus far, no shared test collection exists for IR systems that are designed to index retrieve multimodal lifelog data. In this paper we introduce the first personal data, which has been employed NTCIR12-Lifelog task. paper, requirements motivated, process creating is described, along with an overview collection. Finally suggestions given possible applications
Dagstuhl Seminar 19461 Conversational Search was held on 10-15 November 2019. 44 researchers in Information Retrieval and Web Search, Natural Language Processing, Human Computer Interaction, Dialogue Systems were invited to share the latest development area of discuss its research agenda future directions. A 5-day program seminar consisted six introductory background sessions, three visionary talk one industry session, seven working groups reporting sessions. The also had social events...
Forming test collection relevance judgments from the pooled output of multiple retrieval systems has become standard process for creating resources such as TREC, CLEF, and NTCIR collections. This paper presents a series experiments examining three different ways building collections where no system pooling is used. First, formation technique combining manual feedback adapted to work with single system. Second, an existing method based on searches re-examined: testing wider range searchers...
This paper presents an approach to affective video summarisation based on the facial expressions (FX) of viewers. A expression recognition system was deployed capture a viewer's face and his/her expressions. The user's were analysed infer personalised scenes from videos. We proposed two models, pronounced level expression's change rate, generate summaries using FX data. Our result suggested that can be promising source exploit for tailored individual preferences.
An aggregated search interface is designed to integrate results from different sources (web, image, video, blog, etc) into a single result page. This paper presents two user studies investigating factors affecting users click-through behavior on interfaces. We tested interfaces: one where the are blended list (called blended), and another, each source presented in separate panel non-blended). A total of 1,296 sessions performed by 48 participants were analysed our study. Our suggest that 1)...
With a growing interest in Patent Information Retrieval, there is need to better understand the context associated with patent users, their tasks, needs and expectations of search systems applications. known be complex, difficult challenging activity, usually requiring expert Specialists spend substantial amount time sourcing (or not) documents relevant particular task. Retrieval provides whole array possible techniques tools which could applied ease burden such retrieval also make searching...
Since natural disasters can affect many people over a vast area, studying information‐seeking behavior (ISB) during is of great importance. Many previous studies have relied on online social network data, providing insights into the ISB those with Internet access. However, in large‐scale disaster such as Great East Japan Earthquake 2011, most severely affected areas tended to limited Therefore, an alternative data source should be explored investigate disaster‐related ISB. This study's...
Introduction. This study explores how generative AI, specifically ChatGPT, influences collaborative travel planning. Understanding its effect on tasks like trip planning reveals insights into human-AI collaboration, particularly AI tools support decision-making and streamline information gathering. Method. Twenty participants (10 pairs) planned a 1-night, 2-day under two conditions: (1) using only Google, (2) Google with ChatGPT. within-subject measured completion time, satisfaction, plan...
Over the years, recommender systems have been systematically applied in both industry and academia to assist users dealing with information overload. One of factors that determine performance a system is user feedback, which has traditionally communicated through application explicit implicit feedback techniques. In this paper, we propose novel video search interface predicts topical relevance by analysing affective aspects behaviour. We, furthermore, present method for incorporating such...
Recommender systems have been systematically applied in industry and academia to help users cope with information uncertainty. However, given the multiplicity of preferences needs it has shown that no approach is suitable for all situations. Thus, believed an effective recommender system should incorporate a variety techniques features offer valuable recommendations enhance search experience. In this paper we propose novel video interface employs multimodal system, which can predict topical...
The Future Conversations workshop at CHIIR'21 looked to the future of search, recommendation, and information interaction ask: where are opportunities for conversational interactions? What do we need get there? Furthermore, who stands benefit? was hands-on interactive. Rather than a series technical talks, solicited position statements on opportunities, problems, solutions in search all modalities (written, spoken, or multimodal). This paper -co-authored by organisers participants workshop-...
Different presentations of candidate expansion terms have not been fully explored in interactive query (IQE). Most existing systems that offer an IQE facility use a list form presentation. This paper examines hierarchical presentation the which are automatically generated from set retrieved documents, organised general to specific manner, and visualised by cascade menus. To evaluate effectiveness presentation, user test was carried out compare with conventional form. shows users hierarchy...