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Related papers: LiveRank: How to Refresh Old Datasets

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In this paper, we study the problem of safe online learning to re-rank, where user feedback is used to improve the quality of displayed lists. Learning to rank has traditionally been studied in two settings. In the offline setting, rankers…

Machine Learning · Computer Science 2019-07-02 Chang Li , Branislav Kveton , Tor Lattimore , Ilya Markov , Maarten de Rijke , Csaba Szepesvari , Masrour Zoghi

Graph centrality measures use the structure of a network to quantify central or "important" nodes, with applications in web search, social media analysis, and graphical data mining generally. Traditional centrality measures such as the well…

Social and Information Networks · Computer Science 2021-01-20 Liang Lyu , Brandon Fain , Kamesh Munagala , Kangning Wang

We introduce Loop Ranking, a new ranking measure based on the detection of closed paths, which can be computed in an efficient way. We analyze it with respect to several ranking measures which have been proposed in the past, and are widely…

Disordered Systems and Neural Networks · Physics 2013-05-29 Valery Van Kerrebroeck , Enzo Marinari

In this paper we propose a novel approach for Twitter traffic analysis based on renewal theory. Even though twitter datasets are of increasing interest to researchers, extracting information from message timing remains somewhat unexplored.…

Computers and Society · Computer Science 2012-04-19 Javier Esteban , Antonio Ortega , Sean McPherson , Maheswaran Sathiamoorthy

A clustered gossip network is considered in which a source updates its information over time, and end-nodes, organized in clusters through clusterheads, are keeping track of it. The goal for the nodes is to remain as fresh as possible,…

Information Theory · Computer Science 2025-12-16 Irtiza Hasan , Ahmed Arafa

Recommender systems are a vital tool that helps us to overcome the information overload problem. They are being used by most e-commerce web sites and attract the interest of a broad scientific community. A recommender system uses data on…

Information Retrieval · Computer Science 2017-02-22 Fei Yu , An Zeng , Sebastien Gillard , Matus Medo

We propose a dynamical system that captures changes to the network centrality of nodes as external interest in those nodes vary. We derive this system by adding time-dependent teleportation to the PageRank score. The result is not a single…

Social and Information Networks · Computer Science 2012-11-20 David F. Gleich , Ryan A. Rossi

This paper presents a novel reranking method to better choose the optimal query graph, a sub-graph of knowledge graph, to retrieve the answer for an input question in Knowledge Base Question Answering (KBQA). Existing methods suffer from a…

Computation and Language · Computer Science 2022-04-28 Yonghui Jia , Wenliang Chen

In this paper, we explore the consequences of a distinction between `live' and `dead' network nodes; `live' nodes are able to acquire new links whereas `dead' nodes are static. We develop an analytically soluble growing network model…

Physics and Society · Physics 2007-05-23 S. Lehmann , A. D. Jackson

City leaders face critical decisions regarding budget allocation and investment priorities. How can they identify which city districts require revitalization? To address this challenge, a Current Vitality Index and a Long-Term Vitality…

Machine Learning · Computer Science 2025-03-05 Sylvain Marcoux , Jean-Sébastien Dessureault

Social media plays a central role in shaping public opinion and behavior, yet performing experiments on these platforms and, in particular, on feed algorithms is becoming increasingly challenging. This guide offers practical recommendations…

Social and Information Networks · Computer Science 2026-02-18 Tiziano Piccardi , Martin Saveski , Chenyan Jia , Jeffrey Hancock , Jeanne L. Tsai , Michael S. Bernstein

Truth can vary over time. Fact-checking decisions on claim veracity should therefore take into account temporal information of both the claim and supporting or refuting evidence. In this work, we investigate the hypothesis that the…

Computation and Language · Computer Science 2021-10-13 Liesbeth Allein , Isabelle Augenstein , Marie-Francine Moens

Good websites should be easy to navigate via hyperlinks, yet maintaining a high-quality link structure is difficult. Identifying pairs of pages that should be linked may be hard for human editors, especially if the site is large and changes…

Social and Information Networks · Computer Science 2018-02-28 Ashwin Paranjape , Robert West , Leila Zia , Jure Leskovec

In complex scale-free networks, ranking the individual nodes based upon their importance has useful applications, such as the identification of hubs for epidemic control, or bottlenecks for controlling traffic congestion. However, in most…

Physics and Society · Physics 2007-05-23 Pan-Jun Kim , Hawoong Jeong

Online information has increased tremendously in today's age of Internet. As a result, the need has arose to extract relevant content from the plethora of available information. Researchers are widely using automatic text summarization…

Social and Information Networks · Computer Science 2021-06-02 Mohd Khizir Siddiqui , Amreen Ahmad , Om Pal , Tanvir Ahmad

Conventional methods for query autocompletion aim to predict which completed query a user will select from a list. A shortcoming of this approach is that users often do not know which query will provide the best retrieval performance on the…

Information Retrieval · Computer Science 2022-04-26 Adam Block , Rahul Kidambi , Daniel N. Hill , Thorsten Joachims , Inderjit S. Dhillon

Often questions arise about old or extinct networks. What proteins interacted in a long-extinct ancestor species of yeast? Who were the central players in the Last.fm social network 3 years ago? Our ability to answer such questions has been…

Molecular Networks · Quantitative Biology 2015-05-19 Saket Navlakha , Carl Kingsford

Using age of information as the freshness metric, we examine a multicast network in which real-time status updates are generated by the source and sent to a group of $n$ interested receivers. We show that in order to keep the information…

Information Theory · Computer Science 2018-09-25 Jing Zhong , Emina Soljanin , Roy D. Yates

Traditional methods for crawling and parsing web applications predominantly rely on extracting hyperlinks from initial pages and recursively following linked resources. This approach constructs a graph where nodes represent unstructured…

Information Retrieval · Computer Science 2024-10-24 Yogesh Chandrasekharuni

The ranking incentives of many authors of Web pages play an important role in the Web dynamics. That is, authors who opt to have their pages highly ranked for queries of interest, often respond to rankings for these queries by manipulating…

Information Retrieval · Computer Science 2020-06-29 Ziv Vasilisky , Moshe Tennenholtz , Oren Kurland