Social search and discovery using a unified approach Export

@inproceedings{citeulike:5030799, abstract = {This research explores new ways to augment the search and discovery of relations between Web 2.0 entities using multiple types and sources of social information. Our goal is to allow the search for all object types such as documents, persons and tags, while retrieving related objects of all types. We implemented a social-search engine using a unified approach, where the search space is expanded to represent heterogeneous information objects that are interrelated by several relation types. Our solution is based on multifaceted search, which provides an efficient update mechanism for relations between objects, as well as efficient search over the heterogeneous data. We describe a social search engine positioned within a large enterprise, applied over social data gathered from several Web 2.0 applications. We conducted a large user study with over 600 people to evaluate the contribution of social data for search. Our results demonstrate the high precision of social search results and confirm the strong relationship of users and tags to the topics retrieved.}, address = {New York, NY, USA}, author = {Amitay, Einat and Carmel, David and Har'el, Nadav and Koifman, Shila O. and Soffer, Aya and Yogev, Sivan and Golbandi, Nadav}, booktitle = {HT '09: Proceedings of the 20th ACM conference on Hypertext and hypermedia}, citeulike-article-id = {5030799}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1557914.1557950}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/1557914.1557950}, doi = {10.1145/1557914.1557950}, isbn = {978-1-60558-486-7}, keywords = {ht09, social-search}, location = {Torino, Italy}, pages = {199--208}, posted-at = {2009-07-01 08:18:43}, priority = {2}, publisher = {ACM}, title = {Social search and discovery using a unified approach}, url = {http://dx.doi.org/10.1145/1557914.1557950}, year = {2009} }

TY - CONF ID - citeulike:5030799 L3 - citeulike-article-id:5030799 N2 - This research explores new ways to augment the search and discovery of relations between Web 2.0 entities using multiple types and sources of social information. Our goal is to allow the search for all object types such as documents, persons and tags, while retrieving related objects of all types. We implemented a social-search engine using a unified approach, where the search space is expanded to represent heterogeneous information objects that are interrelated by several relation types. Our solution is based on multifaceted search, which provides an efficient update mechanism for relations between objects, as well as efficient search over the heterogeneous data. We describe a social search engine positioned within a large enterprise, applied over social data gathered from several Web 2.0 applications. We conducted a large user study with over 600 people to evaluate the contribution of social data for search. Our results demonstrate the high precision of social search results and confirm the strong relationship of users and tags to the topics retrieved. CY - Torino, Italy SN - 978-1-60558-486-7 AD - New York, NY, USA EP - 208 TI - Social search and discovery using a unified approach PB - ACM T2 - HT '09: Proceedings of the 20th ACM conference on Hypertext and hypermedia SP - 199 KW - ht09 KW - social-search AU - Amitay, Einat AU - Carmel, David AU - Har'el, Nadav AU - Koifman, Shila AU - Soffer, Aya AU - Yogev, Sivan AU - Golbandi, Nadav PY - 2009/// UR - http://dx.doi.org/10.1145/1557914.1557950 ER -