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Numerous algorithms have been proposed for detecting underlying community structure in social network. However, the majority of existing methods focus on modularity or structure similarity, and the effectiveness on complicated networks is still far from satisfactory. In this paper, we propose a novel community detection algorithm on the basis of newly defined relationship density in social networks...
Recommender systems are widely used in today's online applications. Traditional rating-oriented methods predict user ratings on items, but they fail to capture user preference among different items. This paper regards recommendation problem as a ranking task and proposes a new ranking-oriented collaborative filtering framework based on ranking aggregation methods. In this framework, recommendation...
Search log provides valuable insight into user behavior and interest. By analyzing search log, website manager could have a better understanding on user behavior and interest, and the system design and user experience could be improved. This paper analyzes campus map search log in Tsinghua University on term level, query level and session level. To find out interests of users, generalized sequential...
Location-Based service (LBS) provides the fundamental services for upcoming ubiquitous environments. However, most existing patterns for location service are driven and supported by a LBS service provider only but lacking of user participation and personalized recommendation. In this paper, we propose a novel intelligent location-based service to address these issues. Our solution is based on ontology...
Although numerous studies have been conducted on learning resources recommendation in E-Learning, research extending this investigation into usage of users' contextual information is rare. This paper presents an innovative architecture of an intelligent personalized context-aware recommendation system in an E-Learning environment. The system offers users by recommending learning materials, tutors,...
Software-as-a-Service (SaaS) is now a hot issue in both academia and business. Multi-tenant data storage as a fundamental component of a SaaS system draws much attention. The need of scalability and multi-tenant support in SaaS makes traditional RDBMS unappealing and calls for a better data storage solution. In this paper, we categorize some proposed solutions and evaluate the performance of a Native...
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