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In this paper, we study collaborative filtering in an interactive setting, in which the recommender agents iterate between making recommendations and updating the user profile based on the interactive feedback. The most challenging problem…

Information Retrieval · Computer Science 2020-07-07 Lixin Zou , Long Xia , Yulong Gu , Xiangyu Zhao , Weidong Liu , Jimmy Xiangji Huang , Dawei Yin

Retrieving target information based on input query is of fundamental importance in many real-world applications. In practice, it is not uncommon for the initial search to fail, where additional feedback information is needed to guide the…

Computer Vision and Pattern Recognition · Computer Science 2023-05-02 Zeyu Wang , Yu Wu

In the virtual elements of immersive learning, the use of Google Expedition and touch-screen-based emotion are examined. The objective is to investigate possible ways to combine these technologies to enhance virtual learning environments…

Human-Computer Interaction · Computer Science 2024-02-29 Akey Sungheetha , Rajesh Sharma R , Chinnaiyan R

Generating value from data requires the ability to find, access and make sense of datasets. There are many efforts underway to encourage data sharing and reuse, from scientific publishers asking authors to submit data alongside manuscripts…

Aiming to help people conduct online research tasks, much research has gone into tools for searching for, collecting, organizing, and synthesizing online information. However, outside of the lab, in-the-wild sensemaking sessions (with data…

Human-Computer Interaction · Computer Science 2024-11-12 Andrew Kuznetsov , Michael Xieyang Liu , Aniket Kittur

Decision-making is a cognitively intensive task that requires synthesizing relevant information from multiple unstructured sources, weighing competing factors, and incorporating subjective user preferences. Existing methods, including large…

Computation and Language · Computer Science 2026-04-21 Akriti Jain , Anish Mulay , Divyansh Verma , Aishani Pandey , Pritika Ramu , Aparna Garimella

Large-scale e-commerce sites can collect and analyze a large number of user preferences and behaviors, and thus can recommend highly trusted products to users. However, it is very difficult for individuals or non-corporate groups to obtain…

Information Retrieval · Computer Science 2021-12-20 Weijian Li , Masato Kikuchi , Tadachika Ozono

In light of Phillips' contention regarding the impracticality of Search Neutrality, asserting that non-epistemic factors presently dictate result prioritization, our objective in this study is to confront this constraint by questioning…

Information Retrieval · Computer Science 2025-01-03 Shiran Dudy

Navigation is believed to be controlled by at least two partially dissociable systems in the brain. The cognitive map informs an organism of its location and bearing, updated by integrating vestibular self-motion or predicting distances to…

Neural and Evolutionary Computing · Computer Science 2025-12-05 Patrick Govoni , Pawel Romanczuk

Navigation has been a popular area of research in both academia and industry. Combined with maps, and different localization technologies, navigation systems have become robust and more usable. By combining navigation with augmented…

Human-Computer Interaction · Computer Science 2017-08-18 Gaurav Bhorkar

A significant part of human activity today consists of searching for a piece of information online, utilizing knowledge repositories. This endeavor may be time-consuming if the individual searching for the information is unfamiliar with the…

Information Retrieval · Computer Science 2021-08-31 Rohit Negi

People searching for information occasionally experience difficulties finding what they want on the Web. This might happen if they cannot quite come up with the right search terms. What do searchers do when this happens? Intuitively one…

Information Retrieval · Computer Science 2014-08-21 Gareth Renaud

Interactive user interfaces need to continuously evolve based on the interactions that a user has (or does not have) with the system. This may require constant exploration of various options that the system may have for the user and…

Machine Learning · Computer Science 2018-12-04 Honglei Liu , Anuj Kumar , Wenhai Yang , Benoit Dumoulin

Literature search is arguably one of the most important phases of the academic and non-academic research. The increase in the number of published papers each year makes manual search inefficient and furthermore insufficient. Hence,…

Information Retrieval · Computer Science 2012-09-27 Onur Küçüktunç , Erik Saule , Kamer Kaya , Ümit V. Çatalyürek

Keyword based search engines have problems with term ambiguity and vocabulary mismatch. In this paper, we propose a query expansion technique that enriches queries expressed as keywords and short natural language descriptions. We present a…

Information Retrieval · Computer Science 2013-10-23 Joan Guisado-Gámez , David Dominguez-Sal , Josep-LLuis Larriba-Pey

The problem of how people find information is studied extensively; however, the problem of how people organize, re-use, and re-find information that they have found is not as well understood. Recently, several projects have conducted…

Human-Computer Interaction · Computer Science 2007-05-23 Robert G. Capra , Manuel A. Perez-Quinones

Web search is frequently used by people to acquire new knowledge and to satisfy learning-related objectives. In this context, informational search missions with an intention to obtain knowledge pertaining to a topic are prominent. The…

Human-Computer Interaction · Computer Science 2018-05-03 Ran Yu , Ujwal Gadiraju , Peter Holtz , Markus Rokicki , Philipp Kemkes , Stefan Dietze

The study of navigation behaviour and the associated brain dynamics have been a focus increasing research over the last decades. Coinciding with this has been an increased focus on a more ecological understanding of cognition. Here we…

Neurons and Cognition · Quantitative Biology 2026-03-13 Pablo Fernandez Velasco , Antoine Coutrot , Hugo J. Spiers

Tag-based browsing is a popular interaction model for navigating digital libraries. According to this model, users select descriptive tags to filter resources in the collections. Typical implementations of the model are based on inverted…

Computation and Language · Computer Science 2025-01-28 Joaquín Gayoso-Cabada , Mercedes Gómez-Albarrán , José-Luis Sierra

Re-finding information is an essential activity, however, it can be difficult when people struggle to express what they are looking for. Through a need-finding survey, we first seek opportunities for improving re-finding experiences, and…

Human-Computer Interaction · Computer Science 2023-05-16 Haekyu Park , Gonzalo Ramos , Jina Suh , Christopher Meek , Rachel Ng , Mary Czerwinski