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Related papers: Finding and Recommending Scholarly Articles

200 papers

Scientific publications enable results and ideas to be transmitted throughout the scientific community. The number and type of journal publications also have become the primary criteria used in evaluating career advancement. Our analysis…

Other Quantitative Biology · Quantitative Biology 2016-04-27 Ronald D. Vale

Recommender systems have become increasingly important with the rise of the web as a medium for electronic and business transactions. One of the key drivers of this technology is the ease with which users can provide feedback about their…

Information Retrieval · Computer Science 2024-11-05 Dong Li

Scholars who want to research a scientific topic must take time to read, extract meaning, and identify connections across many papers. As scientific literature grows, this becomes increasingly challenging. Meanwhile, authors summarize prior…

Human-Computer Interaction · Computer Science 2023-02-15 Srishti Palani , Aakanksha Naik , Doug Downey , Amy X. Zhang , Jonathan Bragg , Joseph Chee Chang

There exist situations of decision-making under information overload in the Internet, where people have an overwhelming number of available options to choose from, e.g. products to buy in an e-commerce site, or restaurants to visit in a…

Social and Information Networks · Computer Science 2021-01-14 Ivan Palomares , Carlos Porcel , Luiz Pizzato , Ido Guy , Enrique Herrera-Viedma

Research on recommender systems is a challenging task, as is building and operating such systems. Major challenges include non-reproducible research results, dealing with noisy data, and answering many questions such as how many…

Information Retrieval · Computer Science 2017-04-04 Joeran Beel , Siddharth Dinesh

Recommender systems improve access to relevant products and information by making personalized suggestions based on previous examples of a user's likes and dislikes. Most existing recommender systems use social filtering methods that base…

Digital Libraries · Computer Science 2007-05-23 Raymond J. Mooney , Loriene Roy

Personalized recommendations have become a common feature of modern online services, including most major e-commerce sites, media platforms and social networks. Today, due to their high practical relevance, research in the area of…

Information Retrieval · Computer Science 2023-02-07 Pablo Castells , Dietmar Jannach

To cope with the ever-growing information overload, an increasing number of digital libraries employ content-based recommender systems. These systems traditionally recommend related documents with the help of similarity measures. However,…

Information Retrieval · Computer Science 2020-08-04 Malte Ostendorff

Nowadays, more and more news readers tend to read news online where they have access to millions of news articles from multiple sources. In order to help users to find the right and relevant content, news recommender systems (NRS) are…

Information Retrieval · Computer Science 2021-07-12 Shaina Raza , Chen Ding

In order to help scholars understand and follow a research topic, significant research has been devoted to creating systems that help scholars discover relevant papers and authors. Recent approaches have shown the usefulness of highlighting…

Human-Computer Interaction · Computer Science 2023-02-15 Hyeonsu B. Kang , Nouran Soliman , Matt Latzke , Joseph Chee Chang , Jonathan Bragg

Recommender systems serve as foundational infrastructure in modern information ecosystems, helping users navigate digital content and discover items aligned with their preferences. At their core, recommender systems address a fundamental…

Information Retrieval · Computer Science 2026-05-12 Min Hou , Le Wu , Yuxin Liao , Yonghui Yang , Zhen Zhang , Yu Wang , Changlong Zheng , Han Wu , Richang Hong

Citation recommendation describes the task of recommending citations for a given text. Due to the overload of published scientific works in recent years on the one hand, and the need to cite the most appropriate publications when writing…

Information Retrieval · Computer Science 2020-09-09 Michael Färber , Adam Jatowt

As more scholarly content is born digital or converted to a digital format, digital libraries are becoming increasingly vital to researchers seeking to leverage scholarly big data for scientific discovery. Although scholarly products are…

Digital Libraries · Computer Science 2018-08-09 Hamed Alhoori , Mohammed Samaka , Richard Furuta , Edward A. Fox

Over the past decades, researchers had put lots of effort investigating ranking techniques used to rank query results retrieved during information retrieval, or to rank the recommended products in recommender systems. In this project, we…

Information Retrieval · Computer Science 2022-08-23 Jiashu Wu

Recommender systems play a pivotal role in helping users navigate an overwhelming selection of products and services. On online platforms, users have the opportunity to share feedback in various modes, including numerical ratings, textual…

Information Retrieval · Computer Science 2025-05-27 Emrul Hasan , Mizanur Rahman , Chen Ding , Jimmy Xiangji Huang , Shaina Raza

In an era dominated by information overload, effective recommender systems are essential for managing the deluge of data across digital platforms. Multi-stage cascade ranking systems are widely used in the industry, with retrieval and…

Information Retrieval · Computer Science 2025-10-14 Junjie Huang , Jizheng Chen , Jianghao Lin , Jiarui Qin , Ziming Feng , Weinan Zhang , Yong Yu

The information that mobiles can access becomes very wide nowadays, and the user is faced with a dilemma: there is an unlimited pool of information available to him but he is unable to find the exact information he is looking for. This is…

Information Retrieval · Computer Science 2013-05-09 Djallel Bouneffouf

Fast-growing scientific publications present challenges to the scientific community. In this paper, we describe their implications to researchers. As references form explicit foundations for researchers to conduct a study, we investigate…

Digital Libraries · Computer Science 2023-07-14 Guoxiu He , Aixin Sun , Wei Lu

This paper proposes a Bibliographic system intends to exchange bibliographic information of survey/review articles by relying on Web service technology. It allows researchers and university students to interact with system via single…

Digital Libraries · Computer Science 2015-09-15 Mutaz Beraka , Abdullah Al-Dhelaan , Mznah Al-Rodhaan

The emergence of Web 2.0 and simultaneously Library 2.0 platforms has helped the library and information professionals to outreach to new audiences beyond their physical boundaries. In a globalized society, information becomes very useful…

Digital Libraries · Computer Science 2014-09-16 Anup Kumar Das