Separating the Swarm: Categorization Methods for User Sessions on the Web Export

@misc{citeulike:3032903, abstract = {Understanding user behaviors on Web sites enables site owners to make sites more usable, ultimately helping users to achieve their goals more quickly. Accordingly, researchers have devised methods for categorizing user sessions in hopes of revealing user interests. These techniques build user profiles by combining users' navigation paths with other data features, such as page viewing time, hypedink structure, and page content. Previously, we have presented complex techniques of combining many...}, author = {Heer, J. and Chi, E.}, citeulike-article-id = {3032903}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.18.1363}, keywords = {adaptive\_interfaces}, posted-at = {2008-07-22 15:37:24}, priority = {2}, title = {Separating the Swarm: Categorization Methods for User Sessions on the Web}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.18.1363} }

TY - GEN ID - citeulike:3032903 L3 - citeulike-article-id:3032903 N2 - Understanding user behaviors on Web sites enables site owners to make sites more usable, ultimately helping users to achieve their goals more quickly. Accordingly, researchers have devised methods for categorizing user sessions in hopes of revealing user interests. These techniques build user profiles by combining users' navigation paths with other data features, such as page viewing time, hypedink structure, and page content. Previously, we have presented complex techniques of combining many... TI - Separating the Swarm: Categorization Methods for User Sessions on the Web KW - adaptive_interfaces AU - Heer, J AU - Chi, E UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.18.1363 ER -