The DOI matches its Crossref record.
Proceedings of the 18th international conference on World wide web
Abstract
We are thrilled to have you attend this eighteenth edition of the WWW Conference series. The series started in 1994, at the CERN in Geneva, Switzerland. At the time, the Web was evolving at such a fast pace, like a newborn, that it held two meetings a year, and this until 1996. By then, in its toddler years, the conference found its rhythm and the Web research community started meeting on a yearly basis, typically around April or May. Today, we can say, continuing with our easy "child metaphor", that the conference is like a bright teenager, capable of wonders but with still a long way to go hopefully. This year we are happy to host WWW'2009 in Madrid, the charming capital of Spain. The technical program will hopefully meet and maybe even exceed your expectations, exposing the most recent progress in Web research across a variety of technical tracks. Indeed, we have this year a rich program with submissions originating from more than 50 countries, in a true world wide spirit. We reached a total of 105 accepted papers (including 2 alternate track papers) out of a total of 823 submissions, for an acceptance rate of under 13%. We thus maintained our selective standards as compared to previous years (with an acceptance rate of 12% for 103 accepted papers in 2008 and 15% for 111 accepted papers in 2007). Papers were submitted to 13 different tracks. In an effort to balance track sizes, we merged this year the previous "Browse and User Interfaces" and "Mobility" tracks into a unified "User Interfaces and Mobile Web" track. In addition, following the successful "geo driven" alternate "WWW in China" track of last year, a new "Web in IberoAmerica" track was offered this year. Its papers were subject to the same reviewing process. Overall, each track was coordinated by two to three vice-chairs and numerous Program Committee members, who worked hard on ensuring a fair reviewing process. Each paper was assigned to at least 3 reviewers and overviewed by at least one Vice-Chair. To ensure calibration between tracks, the Chairs and Vice-chairs of the Technical Program, as well as a few additional chairs, one of our general chair and one of next year program chair, attended a 2 day PC meeting on January 13-14, hosted by the Google Paris office. During these 2 days, all papers above a given threshold were discussed and calibrated across tracks in order to maximize quality. At the end of the two days, the team clustered papers into sessions, which crossed tracks when relevant.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
A review of affective computing: From unimodal analysis to multimodal fusion
Poria, S., Cambria, E., Bajpai, R., & Hussain, A. (2017) · Information Fusion · doi:10.1016/j.inffus.2017.02.003 · Cited by 1,644
Social media engagement: What motivates user participation and consumption on YouTube?
Khan, M. L. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2016.09.024 · Cited by 1,180
Ensemble of keyword extraction methods and classifiers in text classification
Onan, A., Korukoğlu, S., & Bulut, H. (2016) · Expert Systems with Applications · doi:10.1016/j.eswa.2016.03.045 · Cited by 630
Advanced social engineering attacks
Krombholz, K., Hobel, H., Huber, M., & Weippl, E. (2015) · Journal of Information Security and Applications · doi:10.1016/j.jisa.2014.09.005 · Cited by 575
Understanding the effect of e-learning on individual performance: The role of digital literacy
Mohammadyari, S., & Singh, H. (2015) · Computers & Education · doi:10.1016/j.compedu.2014.10.025 · Cited by 496
The influence of relative humidity on adaptive thermal comfort
Vellei, M., Herrera, M., Fosas, D., & Natarajan, S. (2017) · Building and Environment · doi:10.1016/j.buildenv.2017.08.005 · Cited by 188
Mapping the customer journey: Lessons learned from graph-based online attribution modeling
Anderl, E., Becker, I., von Wangenheim, F., & Schumann, J. H. (2016) · International Journal of Research in Marketing · doi:10.1016/j.ijresmar.2016.03.001 · Cited by 186
Himeur, Y., Sohail, S. S., Bensaali, F., Amira, A., & Alazab, M. (2022) · Computers & Security · doi:10.1016/j.cose.2022.102746 · Cited by 139
Futures of artificial intelligence through technology readiness levels
Martínez-Plumed, F., Gómez, E., & Hernández-Orallo, J. (2021) · Telematics and Informatics · doi:10.1016/j.tele.2020.101525 · Cited by 130
Combining FastText and Glove Word Embedding for Offensive and Hate speech Text Detection
Badri, N., Kboubi, F., & Chaibi, A. H. (2022) · Procedia Computer Science · doi:10.1016/j.procs.2022.09.132 · Cited by 65
On the credibility perception of news on Twitter: Readers, topics and features
Shariff, S. M., Zhang, X., & Sanderson, M. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.06.026 · Cited by 49
Predictive segmentation of energy consumers
Albert, A., & Maasoumy, M. (2016) · Applied Energy · doi:10.1016/j.apenergy.2016.05.128 · Cited by 29
Metadata
- Publisher
- ACM
- Published
- 2009-04-20
- OpenAlex
- W4298359459
- Cited by
- 498
- References
- 0
- Type
- paratext
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.