Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Jenny Edwards

dblp:73/452 · DBLP profile ↗
← Back
4ranked-venue papers
1as first author
0since 2021 · last 2007
0000-0002-7105-997XORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 3Databases, data management, data science and information retrieval · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
1 paper
Information retrieval · 100%
Theoretical computer science
1 paper
Mathematical optimization · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information retrieval › search engines › web crawling
incremental crawling
0.012001
An adaptive model for optimizing performance of an incremental web crawler · WWW 2001
Information retrieval
search engines
0.012001
An adaptive model for optimizing performance of an incremental web crawler · WWW 2001
Information retrieval › search engines
web crawling
0.012001
An adaptive model for optimizing performance of an incremental web crawler · WWW 2001
Mathematical optimization › continuous optimization
nonlinear optimization
0.012001
An adaptive model for optimizing performance of an incremental web crawler · WWW 2001

Methods — techniques the papers use, named apart from their topics

adaptive optimization · 0.1
YearPublicationVenuePosition
2007 The feel dimension of technology interaction: exploring tangibles through movement and touch
abstract
This paper presents concepts to extend our understandings of bodily aspects of technology interactions. The aim of the paper is to offer a way of looking at the role our haptic and kinaesthetic senses play in experiencing tangibles. We approach this issue by framing it around how our bodies establish relationships with things. Four themes body-thing dialogue, potential for action, actions in space (consisting of within-reach, out-of-reach) and movement expression are introduced. We discuss the role these themes can play in our thinking about, and exploration for, tangible and non-tangible technology interactions. The idea is that these themes can help us consider, not just how a design or a technology might look, but also how it might feel to use.
Astrid Twenebowa Larssen, Toni Robertson, Jenny Edwards
TEI3
2007 Introduction to the special issue on movement-based interaction
Astrid Twenebowa Larssen, Toni Robertson, Lian Loke, Jenny Edwards
Pers. Ubiquitous Comput.4
2007 Understanding movement for interaction design: frameworks and approaches
Lian Loke, Astrid Twenebowa Larssen, Toni Robertson, Jenny Edwards
Pers. Ubiquitous Comput.4
2001 An adaptive model for optimizing performance of an incremental web crawler
abstract
This paper outlines the design of a web crawler implemented for IBM Almaden's WebFountain project and describes an optimization model for controlling the crawl strategy. This crawler is scalable and incremental. The model makes no assumptions about the statistical behaviour of web page changes, but rather uses an adaptive approachtomaintain data on actual change rates which are in turn used as inputs for the optimization. Computational results with simulated but realistic data show that there is no `magic bullet' - different, but equally plausible, objectives lead to conicting `optimal' strategies. However, we nd that there are compromise objectives which lead to good strategies that are robust against a number of criteria. Categories and Subject Descriptors H3.4 [Systems and Software]: Performance Evaluation (eciency and eectiveness); H4.3 [Communications Applications ]: Information Browsers; G1.6 [Optimization]: Nonlinear Programming General Terms Algorithms, Experimentation, Performance Keywords Crawler, incremental crawler, scalability, optimization # This work was completed while the author was on leaveat IBM Almaden Research Center. Copyright is held by the author/owner. WWW10, May 1-5, 2001, Hong Kong. ACM 1-58113-348-0/01/0005. 1.
Jenny Edwards, Kevin S. McCurley, John A. Tomlin
WWW1