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Analysis of Search and Browsing Behavior of Young Users on the Web
Sergio Duarte Torres, Ingmar Weber, Djoerd Hiemstra
Article No.: 7
The Internet is increasingly used by young children for all kinds of purposes. Nonetheless, there are not many resources especially designed for children on the Internet and most of the content online is designed for grown-up users. This situation...
How to Improve Your Search Engine Ranking: Myths and Reality
Ao-Jan Su, Y. Charlie Hu, Aleksandar Kuzmanovic, Cheng-Kok Koh
Article No.: 8
Search engines have greatly influenced the way people access information on the Internet, as such engines provide the preferred entry point to billions of pages on the Web. Therefore, highly ranked Web pages generally have higher visibility to...
Leveraging Social Feedback to Verify Online Identity Claims
Michael Sirivianos, Kyungbaek Kim, Jian Wei Gan, Xiaowei Yang
Article No.: 9
Anonymity is one of the main virtues of the Internet, as it protects privacy and enables users to express opinions more freely. However, anonymity hinders the assessment of the veracity of assertions that online users make about their identity...
Efficient Multiview Maintenance under Insertion in Huge Social Networks
Andrea Pugliese, Matthias Bröcheler, V. S. Subrahmanian, Michael Ovelgönne
Article No.: 10
Applications to monitor various aspects of social networks are becoming increasingly popular. For instance, marketers want to look for semantic patterns relating to the content of tweets and Facebook posts relating to their products. Law...
Textual and Content-Based Search in Repositories of Web Application Models
Bojana Bislimovska, Alessandro Bozzon, Marco Brambilla, Piero Fraternali
Article No.: 11
Model-driven engineering relies on collections of models, which are the primary artifacts for software development. To enable knowledge sharing and reuse, models need to be managed within repositories, where they can be retrieved upon users’...
Neighbor Selection and Weighting in User-Based Collaborative Filtering: A Performance Prediction Approach
Alejandro Bellogín, Pablo Castells, Iván Cantador
Article No.: 12
User-based collaborative filtering systems suggest interesting items to a user relying on similar-minded people called neighbors. The selection and weighting of these neighbors characterize the different recommendation approaches. While standard...