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Mathematical information is essential for technical work, but its creation, interpretation, and search are challenging. To help address these challenges, researchers have developed multimodal search engines and mathematical question…

Information Retrieval · Computer Science 2025-01-15 Richard Zanibbi , Behrooz Mansouri , Anurag Agarwal

The Internet has become a very powerful platform where diverse medical information are expressed daily. Recently, a huge growth is seen in searches like symptoms, diseases, medicines, and many other health related queries around the globe.…

Multiagent Systems · Computer Science 2021-01-26 Nilanjan Sinhababu , Rahul Saxena , Monalisa Sarma , Debasis Samanta

Providing recommendations that are both relevant and diverse is a key consideration of modern recommender systems. Optimizing both of these measures presents a fundamental trade-off, as higher diversity typically comes at the cost of…

Information Retrieval · Computer Science 2024-08-08 Erica Coppolillo , Giuseppe Manco , Aristides Gionis

Internet and electronic media gaining more popularity due to ease and speed, the count of Internet users has increased tremendously. The world is moving faster each day with several events taking place at once and the Internet is flooded…

Information Retrieval · Computer Science 2014-01-14 Vikram Santhalia , Sanjay Singh

Whereas today's information systems are well-equipped for efficient query handling, their strict mathematical foundations hamper their use for everyday tasks. In daily life, people expect information to be offered in a personalized and…

Information Retrieval · Computer Science 2011-05-25 Joachim Selke , Wolf-Tilo Balke

The universe of potentially interesting, searchable literature is expanding continuously. Besides the normal expansion, there is an additional influx of literature because of interdisciplinary boundaries becoming more and more diffuse.…

Recommender systems have been actively and extensively studied over past decades. In the meanwhile, the boom of Big Data is driving fundamental changes in the development of recommender systems. In this paper, we propose a dynamic…

Information Retrieval · Computer Science 2017-03-13 Shuai Zhang , Lina Yao

Recommendation systems are pervasive in the digital economy. An important assumption in many deployed systems is that user consumption reflects user preferences in a static sense: users consume the content they like with no other…

Computers and Society · Computer Science 2023-02-14 Andreas Haupt , Dylan Hadfield-Menell , Chara Podimata

With the surge in modern research focus towards Pervasive Computing, lot of techniques and challenges needs to be addressed so as to effectively create smart spaces and achieve miniaturization. In the process of scaling down to compact…

Multimedia · Computer Science 2014-05-27 Divyajyothi M G , Rachappa , D H Rao

Many User interactive systems are proposed all methods are trying to implement as a user friendly and various approaches proposed but most of the systems not reached to the use specifications like user friendly systems with user interest,…

Computer Vision and Pattern Recognition · Computer Science 2012-04-12 R. Venkata Ramana Chary , D. Rajya Lakshmi , K. V. N. Sunitha

The massive diffusion of social media fosters disintermediation and changes the way users are informed, the way they process reality, and the way they engage in public debate. The cognitive layer of users and the related social dynamics…

Metaverse Recordings (MVRs) represent an emerging and underexplored media type within the field of Multimedia Information Retrieval (MMIR). This paper presents findings from a field study aimed at understanding the users information needs…

Information Retrieval · Computer Science 2024-11-15 Patrick Steinert , Jan Mischkies , Stefan Wagenpfeil , Ingo Frommholz , Matthias L. Hemmje

Music recommender systems (MRS) have experienced a boom in recent years, thanks to the emergence and success of online streaming services, which nowadays make available almost all music in the world at the user's fingertip. While today's…

Information Retrieval · Computer Science 2018-04-11 Markus Schedl , Hamed Zamani , Ching-Wei Chen , Yashar Deldjoo , Mehdi Elahi

Search and recommendation are the two most common approaches used by people to obtain information. They share the same goal -- satisfying the user's information need at the right time. There are already a lot of Internet platforms and Apps…

Information Retrieval · Computer Science 2021-10-01 Jing Yao , Zhicheng Dou , Ruobing Xie , Yanxiong Lu , Zhiping Wang , Ji-Rong Wen

Conversational interfaces that allow for intuitive and comprehensive access to digitally stored information remain an ambitious goal. In this thesis, we lay foundations for designing conversational search systems by analyzing the…

Information Retrieval · Computer Science 2019-12-17 Svitlana Vakulenko

The effective and targeted provision of health information to consumers, specifically tailored to their needs and preferences, is indispensable in healthcare. With access to appropriate health information and adequate understanding,…

Recommender systems often rely on models which are trained to maximize accuracy in predicting user preferences. When the systems are deployed, these models determine the availability of content and information to different users. The gap…

Machine Learning · Computer Science 2021-02-02 Sarah Dean , Sarah Rich , Benjamin Recht

In the past decades, integrated development environments (IDEs) have been largely advanced to facilitate common software engineering tasks. Yet, with growing information needs driven by increasing complexity in developing modern…

Software Engineering · Computer Science 2021-11-02 Haipeng Cai

Documents serve as a crucial and indispensable medium for everyday workplace tasks. However, understanding, interacting and creating such documents on today's planar interfaces without any intelligent support are challenging due to our…

Human-Computer Interaction · Computer Science 2024-11-19 Chen Chen

Acquiring valuable data from the rapidly expanding information on the internet has become a significant concern, and recommender systems have emerged as a widely used and effective tool for helping users discover items of interest. The…

Information Retrieval · Computer Science 2025-02-25 Jinfeng Xu , Zheyu Chen , Shuo Yang , Jinze Li , Wei Wang , Xiping Hu , Steven Hoi , Edith Ngai