%0 Book Section %1 citeulike:3890096 %A Kim, Hyoung-rae %A Chan, Philip %B Advances in Web Mining and Web Usage Analysis %C Berlin, Heidelberg %D 2006 %E Nasraoui, Olfa %E Zaïane, Osmar %E Spiliopoulou, Myra %E Mobasher, Bamshad %E Masand, Brij %E Yu, Philip %I Springer Berlin / Heidelberg %J Advances in Web Mining and Web Usage Analysis %K adaptive-search bookmarking %P 158--176 %R 10.1007/11891321_9 %T Personalized Search Results with User Interest Hierarchies Learnt from Bookmarks %U http://dx.doi.org/10.1007/11891321_9 %V 4198 %X Personalized web search incorporates an individual user's interests when deciding relevant results to return. While, most web search engines are usually designed to serve all users, without considering the interests of individual users. We propose a method to (re)rank the results from a search engine using a learned user profile, called a user interest hierarchy (UIH), from web pages that are of interest to the user. The user's interest in web pages will be determined implicitly, without directly asking the user. Experimental results indicate that our personalized ranking methods, when used with a popular search engine, can yield more potentially interesting web pages for individual users. %& 9 %@ 978-3-540-46346-7

@incollection{citeulike:3890096, abstract = {{Personalized web search incorporates an individual user's interests when deciding relevant results to return. While, most web search engines are usually designed to serve all users, without considering the interests of individual users. We propose a method to (re)rank the results from a search engine using a learned user profile, called a user interest hierarchy (UIH), from web pages that are of interest to the user. The user's interest in web pages will be determined implicitly, without directly asking the user. Experimental results indicate that our personalized ranking methods, when used with a popular search engine, can yield more potentially interesting web pages for individual users.}}, added-at = {2018-03-19T12:24:51.000+0100}, address = {Berlin, Heidelberg}, author = {Kim, Hyoung-rae and Chan, Philip}, biburl = {https://www.bibsonomy.org/bibtex/2fbc591d901067fea12b410bb56ab7015/aho}, booktitle = {Advances in Web Mining and Web Usage Analysis}, chapter = 9, citeulike-article-id = {3890096}, citeulike-linkout-0 = {http://dx.doi.org/10.1007/11891321_9}, citeulike-linkout-1 = {http://www.springerlink.com/content/6132721146710566}, doi = {10.1007/11891321_9}, editor = {Nasraoui, Olfa and Za\"{i}ane, Osmar and Spiliopoulou, Myra and Mobasher, Bamshad and Masand, Brij and Yu, Philip}, interhash = {ec1e0f9650f72b9dc49d5de9e4fe9a8c}, intrahash = {fbc591d901067fea12b410bb56ab7015}, isbn = {978-3-540-46346-7}, journal = {Advances in Web Mining and Web Usage Analysis}, keywords = {adaptive-search bookmarking}, pages = {158--176}, posted-at = {2011-04-01 22:19:19}, priority = {2}, publisher = {Springer Berlin / Heidelberg}, series = {Lecture Notes in Computer Science}, timestamp = {2018-03-19T12:24:51.000+0100}, title = {{Personalized Search Results with User Interest Hierarchies Learnt from Bookmarks}}, url = {http://dx.doi.org/10.1007/11891321_9}, volume = 4198, year = 2006 }