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Modern social platforms are characterized by the presence of rich user-behavior data associated with the publication, sharing and consumption of textual content. Users interact with content and with each other in a complex and dynamic…

Social and Information Networks · Computer Science 2019-02-08 Adit Krishnan , Ashish Sharma , Hari Sundaram

Recent advances of preservation technologies have led to an increasing number of Web archive systems and collections. These collections are valuable to explore the past of the Web, but their value can only be uncovered with effective access…

Information Retrieval · Computer Science 2017-01-17 Khoi Duy Vo , Tuan Tran , Tu Ngoc Nguyen , Xiaofei Zhu , Wolfgang Nejdl

While the flexible capabilities of large language models (LLMs) allow them to answer a range of queries based on existing learned knowledge, information retrieval to augment generation is an important tool to allow LLMs to answer questions…

Information Retrieval · Computer Science 2023-11-23 Guy Zyskind , Tobin South , Alex Pentland

The World Wide Web caters to the needs of billions of users in heterogeneous groups. Each user accessing the World Wide Web might have his / her own specific interest and would expect the web to respond to the specific requirements. The…

Information Retrieval · Computer Science 2017-11-22 K. S. Kuppusamy , G. Aghila

In real-world, our DNA is unique but many people share names. This phenomenon often causes erroneous aggregation of documents of multiple persons who are namesake of one another. Such mistakes deteriorate the performance of document…

Social and Information Networks · Computer Science 2017-09-12 Baichuan Zhang , Mohammad Al Hasan

Private data generated by edge devices -- from smart phones to automotive electronics -- are highly informative when aggregated but can be damaging when mishandled. A variety of solutions are being explored but have not yet won the public's…

Cryptography and Security · Computer Science 2021-08-04 Graham Cormode , Igor L. Markov

Caching is a technique to reduce peak traffic rates by prefetching popular content into memories at the end users. Conventionally, these memories are used to deliver requested content in part from a locally cached copy rather than through…

Information Theory · Computer Science 2014-05-06 Mohammad Ali Maddah-Ali , Urs Niesen

As the amount of data on the World Wide Web continues to grow exponentially, access to semantically structured information remains limited. The Semantic Web has emerged as a solution to enhance the machine-readability of data, making it…

Digital Libraries · Computer Science 2023-06-21 Muhammad Zohaib

Event collections are frequently built by crawling the live web on the basis of seed URIs nominated by human experts. Focused web crawling is a technique where the crawler is guided by reference content pertaining to the event. Given the…

Digital Libraries · Computer Science 2018-04-06 Martin Klein , Lyudmila Balakireva , Herbert Van de Sompel

The digitisation campaigns carried out by libraries and archives in recent years have facilitated access to documents in their collections. However, exploring and exploiting these documents remain difficult tasks due to the sheer quantity…

Digital Libraries · Computer Science 2024-03-29 Nicolas Gutehrlé , Iana Atanassova

The primary form of user-internet engagement is shifting from leveraging implicit feedback signals, such as browsing and clicks, to harnessing the rich explicit feedback provided by textual interactive behaviors. This shift unlocks a rich…

Computation and Language · Computer Science 2026-01-27 Shuo Yu , Mingyue Cheng , Daoyu Wang , Qi Liu , Zirui Liu , Ze Guo , Xiaoyu Tao

Archive collections are nowadays mostly available through search engines interfaces, which allow a user to retrieve documents by issuing queries. The study of these collections may be, however, impaired by some aspects of search engines,…

Computation and Language · Computer Science 2023-02-01 Nicolas Gutehrlé , Antoine Doucet , Adam Jatowt

We study private synthetic data generation for query release, where the goal is to construct a sanitized version of a sensitive dataset, subject to differential privacy, that approximately preserves the answers to a large collection of…

Machine Learning · Computer Science 2021-12-10 Terrance Liu , Giuseppe Vietri , Zhiwei Steven Wu

Limited search and access patterns over Web archives have been well documented. One of the key reasons is the lack of understanding of the user access patterns over such collections, which in turn is attributed to the lack of effective…

Information Retrieval · Computer Science 2017-02-06 Helge Holzmann , Avishek Anand

A distinguishing characteristic of federated learning is that the (local) client data could have statistical heterogeneity. This heterogeneity has motivated the design of personalized learning, where individual (personalized) models are…

Machine Learning · Computer Science 2022-07-06 Kaan Ozkara , Antonious M. Girgis , Deepesh Data , Suhas Diggavi

Number of web services available on Internet and its usage are increasing very fast. In many cases, one service is not enough to complete the business requirement; composition of web services is carried out. Autonomous composition of web…

Artificial Intelligence · Computer Science 2013-11-27 Debajyoti Mukhopadhyay , Archana Chougule

The World Wide Web, a ubiquitous source of information, serves as a primary resource for countless individuals, amassing a vast amount of data from global internet users. However, this online data, when scraped, indexed, and utilized for…

Networking and Internet Architecture · Computer Science 2023-11-07 Dawen Zhang , Boming Xia , Yue Liu , Xiwei Xu , Thong Hoang , Zhenchang Xing , Mark Staples , Qinghua Lu , Liming Zhu

In this paper, localized information privacy (LIP) is proposed, as a new privacy definition, which allows statistical aggregation while protecting users' privacy without relying on a trusted third party. The notion of context-awareness is…

Information Theory · Computer Science 2018-08-02 Bo Jiang , Ming Li , Ravi Tandon

Protocols satisfying Local Differential Privacy (LDP) enable parties to collect aggregate information about a population while protecting each user's privacy, without relying on a trusted third party. LDP protocols (such as Google's RAPPOR)…

Cryptography and Security · Computer Science 2017-05-16 Tianhao Wang , Jeremiah Blocki , Ninghui Li , Somesh Jha

To perform a longitudinal investigation of web archives and detecting variations and changes replaying individual archived pages, or mementos, we created a sample of 16,627 mementos from 17 public web archives. Over the course of our…

Digital Libraries · Computer Science 2021-08-16 Mohamed Aturban , Michael L. Nelson , Michele C. Weigle