Modern Information Retrieval
ACM Computing Surveys (CSUR)
Measurement and analysis of online social networks
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
Efficient search ranking in social networks
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Efficient top-k querying over social-tagging networks
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
A measurement-driven analysis of information propagation in the flickr social network
Proceedings of the 18th international conference on World wide web
On social networks and collaborative recommendation
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Personalized social search based on the user's social network
Proceedings of the 18th ACM conference on Information and knowledge management
Partitioned multi-indexing: bringing order to social search
Proceedings of the 21st international conference on World Wide Web
Network-aware search in social tagging applications: instance optimality versus efficiency
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
| Hi-index | 0.00 |
To enhance the quality of document search, recent research studies have started to exploit the social networks of users by considering social influence (SI), measurement of the affinity between a query user and the publisher of a retrieved document, in addition to the commonly used textual relevance (TR). We refer to such document search that considers social networks as social web search. In this paper, we focus on efficient top-k social web search and propose two search strategies: (i) TR-based search and (ii) SI-based search that tailor document examination orders upon TR and SI, respectively. We evaluate the proposed strategies through experimentation.