Suchergebnisse - "2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology"

Predicting the Future with Social Media von Asur, Sitaram, Huberman, Bernardo A.

“… In recent years, social media has become ubiquitous and important for social networking and content sharing. And yet, the content that is generated from these …”
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Breaking News Detection and Tracking in Twitter von Phuvipadawat, S, Murata, T

“… Twitter has been used as one of the communication channels for spreading breaking news. We propose a method to collect, group, rank and track breaking news in …”
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Ranking Approaches for Microblog Search von Nagmoti, Rinkesh, Teredesai, Ankur, De Cock, Martine

“… Ranking microblogs, such as tweets, as search results for a query is challenging, among other things because of the sheer amount of microblogs that are being …”
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An Approach to Model and Predict the Popularity of Online Contents with Explanatory Factors von Lee, Jong Gun, Moon, Sue, Salamatian, Kave

“… In this paper, we propose a methodology to predict the popularity of online contents. More precisely, rather than trying to infer the popularity of a content …”
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Feedback Dynamic Algorithms for Preemptable Job Scheduling in Cloud Systems von Li, Jiayin, Qiu, Meikang, Niu, Jianwei, Gao, Wenzhong, Zong, Ziliang, Qin, Xiao

“… An infrastructure-as-a-service cloud system provides computational capacities to remote users. Parallel processing in the cloud system can shorten the …”
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Investigating Homophily in Online Social Networks von Bisgin, Halil, Agarwal, Nitin, Xu, Xiaowei

“… Similarity breeds connections, the principle of homophily, has been well studied in existing sociology literature. %Several studies have observed this …”
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Expertise Matching via Constraint-Based Optimization von Tang, Wenbin, Tang, Jie, Tan, Chenhao

“… Expertise matching, aiming to find the alignment between experts and queries, is a common problem in many real applications such as conference paper-reviewer …”
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Design and Evaluation of Explainable BDI Agents von Harbers, M, van den Bosch, K, Meyer, J

“… It is widely acknowledged that providing explanations is an important capability of intelligent systems. Explanation capabilities are useful, for example, in …”
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The KGRAM Abstract Machine for Knowledge Graph Querying von Corby, Olivier, Zucker, Catherine Faron

“… In this paper we present the KGRAM abstract machine dedicated to querying knowledge graphs. It is the result of an abstraction process we performed to reach a …”
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Reducing the Cold-Start Problem in Content Recommendation through Opinion Classification von Poirier, Damien, Fessant, Francoise, Tellier, Isabelle

“… Like search engines, recommender systems have become a tool that cannot be ignored by websites with a large selection of products, music, news or simply …”
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Linked Open Social Signals von Mendes, Pablo N., Passant, Alexandre, Kapanipathi, Pavan, Sheth, Amit P.

“… In this paper we discuss the collection, semantic annotation and analysis of real-time social signals from micro blogging data. We focus on users interested in …”
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The Ethicality of Web Crawlers von Sun, Yang, Councill, Isaac G., Giles, C. Lee

“… Search engines largely rely on web crawlers to collect information from the web. This has led to an enormous amount of web traffic generated by crawlers alone …”
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Learning a Large Scale of Ontology from Japanese Wikipedia von Tamagawa, Susumu, Sakurai, Shinya, Tejima, Takuya, Morita, Takeshi, Izumi, Noriaki, Yamaguchi, Takahira

“… Here is discussed how to learn a large scale of ontology from Japanese Wikipedia. The learned ontology includes the following properties: rdfs:subClassOf (IS-A …”
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Improving Collaborative Filtering in Social Tagging Systems for the Recommendation of Scientific Articles von Parra-Santander, Denis, Brusilovsky, Peter

“… Social tagging systems pose new challenges to developers of recommender systems. As observed by recent research, traditional implementations of classic …”
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Bees Swarm Optimization Based Approach for Web Information Retrieval von Drias, Habiba, Mosteghanemi, Hadia

“… This paper deals with large scale information retrieval aiming at contributing to web searching. The collections of documents considered are huge and not …”
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Particle Swarm Optimization Based Hierarchical Agglomerative Clustering von Alam, Shafiq, Dobbie, Gillian, Riddle, Patricia, Naeem, M. Asif

“… Clustering- an important data mining task, which groups the data on the basis of similarities among the data, can be divided into two broad categories, …”
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How to Improve Your Google Ranking: Myths and Reality von Su, Ao-Jan, Hu, Y. Charlie, Kuzmanovic, Aleksandar, Koh, Cheng-Kok

“… 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 …”
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Intelligent Agents in Mobile Vehicular Ad-Hoc Networks: Leveraging Trust Modeling Based on Direct Experience with Incentives for Honesty von Minhas, U F, Jie Zhang, Tran, T, Cohen, R

“… In this paper we introduce a multi-faceted trust model of use for the application of ad-hoc vehicular networks (VANETs) - scenarios where agents representing …”
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MapMarker: Extraction of Postal Addresses and Associated Information for General Web Pages von Chang, Chia-Hui, Li, Shu-Ying

“… Address information is essential for people's daily life. People often need to query addresses of unfamiliar location through Web and then use map services to …”
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Using Relational Similarity between Word Pairs for Latent Relational Search on the Web von Duc, Nguyen Tuan, Bollegala, Danushka, Ishizuka, Mitsuru

“… Latent relational search is a new search paradigm based on the degree of analogy between two word pairs. A latent relational search engine is expected to …”
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