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- research-articleMay 2013
Making the most of your triple store: query answering in OWL 2 using an RL reasoner
WWW '13: Proceedings of the 22nd international conference on World Wide WebMay 2013, Pages 1569–1580https://doi.org/10.1145/2488388.2488525Triple stores implementing the RL profile of OWL 2 are becoming increasingly popular. In contrast to unrestricted OWL 2, the RL profile is known to enjoy favourable computational properties for query answering, and state-of-the-art RL reasoners such as ...
- research-articleMay 2013
Sparse online topic models
WWW '13: Proceedings of the 22nd international conference on World Wide WebMay 2013, Pages 1489–1500https://doi.org/10.1145/2488388.2488518Topic models have shown great promise in discovering latent semantic structures from complex data corpora, ranging from text documents and web news articles to images, videos, and even biological data. In order to deal with massive data collections and ...
- research-articleMay 2013
A biterm topic model for short texts
WWW '13: Proceedings of the 22nd international conference on World Wide WebMay 2013, Pages 1445–1456https://doi.org/10.1145/2488388.2488514Uncovering the topics within short texts, such as tweets and instant messages, has become an important task for many content analysis applications. However, directly applying conventional topic models (e.g. LDA and PLSA) on such short texts may not work ...
- research-articleMay 2013
Latent credibility analysis
WWW '13: Proceedings of the 22nd international conference on World Wide WebMay 2013, Pages 1009–1020https://doi.org/10.1145/2488388.2488476A frequent problem when dealing with data gathered from multiple sources on the web (ranging from booksellers to Wikipedia pages to stock analyst predictions) is that these sources disagree, and we must decide which of their (often mutually exclusive) ...
- research-articleMay 2013
Unsupervised sentiment analysis with emotional signals
WWW '13: Proceedings of the 22nd international conference on World Wide WebMay 2013, Pages 607–618https://doi.org/10.1145/2488388.2488442The explosion of social media services presents a great opportunity to understand the sentiment of the public via analyzing its large-scale and opinion-rich data. In social media, it is easy to amass vast quantities of unlabeled data, but very costly to ...
- research-articleMay 2013
Web usage mining with semantic analysis
WWW '13: Proceedings of the 22nd international conference on World Wide WebMay 2013, Pages 561–570https://doi.org/10.1145/2488388.2488438Web usage mining has traditionally focused on the individual queries or query words leading to a web site or web page visit, mining patterns in such data. In our work, we aim to characterize websites in terms of the semantics of the queries that lead to ...
- research-articleMay 2013
ClausIE: clause-based open information extraction
WWW '13: Proceedings of the 22nd international conference on World Wide WebMay 2013, Pages 355–366https://doi.org/10.1145/2488388.2488420We propose ClausIE, a novel, clause-based approach to open information extraction, which extracts relations and their arguments from natural language text. ClausIE fundamentally differs from previous approaches in that it separates the detection of ``...
- research-articleMay 2013
A framework for benchmarking entity-annotation systems
WWW '13: Proceedings of the 22nd international conference on World Wide WebMay 2013, Pages 249–260https://doi.org/10.1145/2488388.2488411In this paper we design and implement a benchmarking framework for fair and exhaustive comparison of entity-annotation systems. The framework is based upon the definition of a set of problems related to the entity-annotation task, a set of measures to ...
- research-articleMay 2013
CopyCatch: stopping group attacks by spotting lockstep behavior in social networks
WWW '13: Proceedings of the 22nd international conference on World Wide WebMay 2013, Pages 119–130https://doi.org/10.1145/2488388.2488400How can web services that depend on user generated content discern fraudulent input by spammers from legitimate input? In this paper we focus on the social network Facebook and the problem of discerning ill-gotten Page Likes, made by spammers hoping to ...
- research-articleMay 2013
Distributed large-scale natural graph factorization
WWW '13: Proceedings of the 22nd international conference on World Wide WebMay 2013, Pages 37–48https://doi.org/10.1145/2488388.2488393Natural graphs, such as social networks, email graphs, or instant messaging patterns, have become pervasive through the internet. These graphs are massive, often containing hundreds of millions of nodes and billions of edges. While some theoretical ...
- research-articleMay 2013
Multi-label learning with millions of labels: recommending advertiser bid phrases for web pages
WWW '13: Proceedings of the 22nd international conference on World Wide WebMay 2013, Pages 13–24https://doi.org/10.1145/2488388.2488391Recommending phrases from web pages for advertisers to bid on against search engine queries is an important research problem with direct commercial impact. Most approaches have found it infeasible to determine the relevance of all possible queries to a ...
- research-articleMay 2013
Evaluating and predicting user engagement change with degraded search relevance
WWW '13: Proceedings of the 22nd international conference on World Wide WebMay 2013, Pages 1213–1224https://doi.org/10.1145/2488388.2488494User engagement in search refers to the frequency for users (re-)using the search engine to accomplish their tasks. Among factors that affected users' visit frequency, relevance of search results is believed to play a pivotal role. While multiple work ...
- research-articleMay 2013
Know your personalization: learning topic level personalization in online services
WWW '13: Proceedings of the 22nd international conference on World Wide WebMay 2013, Pages 873–884https://doi.org/10.1145/2488388.2488464Online service platforms (OSPs), such as search engines, news-websites, ad-providers, etc., serve highly personalized content to the user, based on the profile extracted from her history with the OSP. In this paper, we capture OSP's personalization for ...
- research-articleMay 2013
On the evolution of the internet economic ecosystem
WWW '13: Proceedings of the 22nd international conference on World Wide WebMay 2013, Pages 849–860https://doi.org/10.1145/2488388.2488462The evolution of the Internet has manifested itself in many ways: the traffic characteristics, the interconnection topologies and the business relationships among the autonomous components. It is important to understand why (and how) this evolution came ...
- research-articleMay 2013
Personalized recommendation via cross-domain triadic factorization
WWW '13: Proceedings of the 22nd international conference on World Wide WebMay 2013, Pages 595–606https://doi.org/10.1145/2488388.2488441Collaborative filtering (CF) is a major technique in recommender systems to help users find their potentially desired items. Since the data sparsity problem is quite commonly encountered in real-world scenarios, Cross-Domain Collaborative Filtering (...
- research-articleMay 2013
Hierarchical geographical modeling of user locations from social media posts
WWW '13: Proceedings of the 22nd international conference on World Wide WebMay 2013, Pages 25–36https://doi.org/10.1145/2488388.2488392With the availability of cheap location sensors, geotagging of messages in online social networks is proliferating. For instance, Twitter, Facebook, Foursquare, and Google+ provide these services both explicitly by letting users choose their location or ...