Cited By
View all- Wang LTasoulis SRoos TKangasharju J(2016)Kvasir: Scalable Provision of Semantically Relevant Web Content on Big Data FrameworkIEEE Transactions on Big Data10.1109/TBDATA.2016.25573482:3(219-233)Online publication date: 1-Sep-2016
Kvasir: Seamless Integration of Latent Semantic Analysis-Based Content Provision into Web Browsing
Pages 251 - 254
Abstract
The Internet is overloading its users with excessive information flows, so that effective content-based filtering becomes crucial in improving user experience and work efficiency. We build Kvasir, a semantic recommendation system, atop latent semantic analysis and other state-of-art technologies to seamlessly integrate an automated and proactive content provision service into web browsing. We utilize the power of Apache Spark to scale up Kvasir to a practical Internet service. Herein we present the architecture of Kvasir, along with our solutions to the technical challenges in the actual system implementation.
References
[1]
Kvasir project, http://cs.helsinki.fi/u/lxwang/kvasir.
[2]
T. Berners-Lee, et al. The semantic web. In Scientific american, 284(5):28--37, 2001.
[3]
M. Brand. Fast low-rank modifications of the thin singular value decomposition. In Linear Algebra and its Applications, 415(1):20 -- 30, 2006.
[4]
J. S. Breese, et al. Empirical analysis of predictive algorithms for collaborative filtering. In UAI'98, 1998.
[5]
P. Cremonesi, et al. Cross-domain recommender systems. In IEEE ICDMW, 496--503, 2011.
[6]
W. B. Frakes, et al. Information Retrieval: Data Structures and Algorithms. Prentice-Hall, 1992.
[7]
D. Goldberg, et al. Using collaborative filtering to weave an information tapestry. ACM Commun., 1992.
[8]
N. Halko, et al. Finding structure with randomness: Probabilistic algorithms for constructing approximate matrix decompositions. In SIAM Rev., 2011.
[9]
D. Huynh, et al. Piggy bank: Experience the semantic web inside your web browser. In ISWC 2005, 2005.
[10]
J. M. Kleinberg. Authoritative sources in a hyperlinked environment. J. ACM, 604--632, 1999.
[11]
Y. Koren and R. Bell. Advances in collaborative filtering. In Recommender Systems Handbook, 2011.
[12]
B. Li, et al. Can movies and books collaborate?: Cross-domain collaborative filtering for sparsity reduction. In IJCAI'09, 2009
[13]
C. D. Manning, et al. Introduction to Information Retrieval. Cambridge University Press, 2008.
[14]
L. Page, et al. The pagerank citation ranking: Bringing order to the web. Tech-report, 1999.
Index Terms
- Kvasir: Seamless Integration of Latent Semantic Analysis-Based Content Provision into Web Browsing
Recommendations
A study of tabbed browsing among mozilla firefox users
CHI '10: Proceedings of the SIGCHI Conference on Human Factors in Computing SystemsWe present a study which investigated how and why users of Mozilla Firefox use multiple tabs and windows during web browsing. The detailed web browsing usage of 21 participants was logged over a period of 13 to 21 days each, and was supplemented by ...
High-Recall Information Retrieval from Linked Big Data
COMPSAC '15: Proceedings of the 2015 IEEE 39th Annual Computer Software and Applications Conference - Volume 02In the current era of big data, high volumes of valuable information are available in collections of documents, the web, social networks, and high varieties of linked data. To search and retrieve useful information from these linked data, users often ...
Scalable information retrieval system in semantic web by query expansion and ontological-based LSA ranking similarity measurement
In recent days, semantic web presents a key role in intelligent retrieval of information system that resolves vocabulary mismatch problem by query expansion process. However, achieving the scalable information retrieval (IR) in semantic web is a ...
Comments
Information & Contributors
Information
Published In
May 2015
1602 pages
ISBN:9781450334730
DOI:10.1145/2740908
- General Chairs:
- Aldo Gangemi,
- Stefano Leonardi,
- Alessandro Panconesi
Copyright © 2015 Copyright is held by the International World Wide Web Conference Committee (IW3C2).
Sponsors
- IW3C2: International World Wide Web Conference Committee
In-Cooperation
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 18 May 2015
Check for updates
Author Tags
Qualifiers
- Research-article
Conference
WWW '15
Sponsor:
- IW3C2
Acceptance Rates
Overall Acceptance Rate 1,899 of 8,196 submissions, 23%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- View Citations1Total Citations
- 133Total Downloads
- Downloads (Last 12 months)3
- Downloads (Last 6 weeks)2
Reflects downloads up to 01 Mar 2025
Other Metrics
Citations
Cited By
View all- Wang LTasoulis SRoos TKangasharju J(2016)Kvasir: Scalable Provision of Semantically Relevant Web Content on Big Data FrameworkIEEE Transactions on Big Data10.1109/TBDATA.2016.25573482:3(219-233)Online publication date: 1-Sep-2016
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in