The Journal of Machine Learning Research
Using annotations in enterprise search
Proceedings of the 15th international conference on World Wide Web
Optimizing web search using social annotations
Proceedings of the 16th international conference on World Wide Web
Exploring folksonomy for personalized search
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Can all tags be used for search?
Proceedings of the 17th ACM conference on Information and knowledge management
A Ranking Method for Web Search Using Social Bookmarks
DASFAA '09 Proceedings of the 14th International Conference on Database Systems for Advanced Applications
sDoc: exploring social wisdom for document enhancement in web mining
Proceedings of the 18th ACM conference on Information and knowledge management
Personalized social search based on the user's social network
Proceedings of the 18th ACM conference on Information and knowledge management
Towards improving web search by utilizing social bookmarks
ICWE'07 Proceedings of the 7th international conference on Web engineering
Web search personalization via social bookmarking and tagging
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
A comparison of social bookmarking with traditional search
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
Exploring online social activities for adaptive search personalization
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Information retrieval in folksonomies: search and ranking
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
Personalizing web search with folksonomy-based user and document profiles
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
Using social annotations to enhance document representation for personalized search
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
LAICOS: an open source platform for personalized social web search
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Evaluation of personalized social ranking functions of information retrieval
ICWE'13 Proceedings of the 13th international conference on Web Engineering
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We present in this paper a contribution to IR modeling by proposing a new ranking function called SoPRa that considers the social dimension of the Web. This social dimension is any social information that surrounds documents along with the social context of users. Currently, our approach relies on folksonomies for extracting these social contexts, but it can be extended to use any social meta-data, e.g. comments, ratings, tweets, etc. The evaluation performed on our approach shows its benefits for personalized search.