Abstract: Content such as user interface items provided to a user during a session of an interactive application is personalized. One or more environmental context attribute values for the session are determined. Responsive to a request for content, for at least one item of the content, each of the environmental context attribute values are mapped to respective values indicating a users level of interest in the item for the environmental context attribute values. Content is retrieved from a content database and the content is personalized as a function of the users level of interest in the item for the environmental context attribute values before being returned to the application.

Abstract: A method for personalizing content such as user interface items provided to a user during a session of an interactive application is disclosed. One or more environmental context attribute values for the session are determined. Responsive to a request for content, for at least one item of the content, each of the environmental context attribute values are mapped to respective values indicating a users level of interest in the item for the environmental context attribute values. Content is retrieved from a content database and the content is personalized as a function of the users level of interest in the item for the environmental context attribute values before being returned to the application.

Abstract: A method for personalizing content such as user interface items provided to a user during a session of an interactive application is disclosed. One or more environmental context attribute values for the session are determined. Responsive to a request for content, for at least one item of the content, each of the environmental context attribute values ate mapped to respective values indicating a users level of interest in the item for the environmental context attribute values. Content is retrieved from a content database and the content is personalized as a function of the users level of interest in the item for the environmental context attribute values before being returned to the application.

Abstract: An internet website which presents a hierarchical menu structure to users includes a personalization engine 14 to automatically modify the menu structure for each user at least according to that user's previous browsing history at the site. In one embodiment the engine 14 provides, as menu options for a selected menu page of the hierarchical menu, a plurality of the most probable links which the user may wish to reach from the selected menu page. In another embodiment there are provided, as additional menu options for a particular menu page, a plurality of links which are similar, as determined by meeting a predetermined similarity metric, to menu options present on the particular menu page other than through meeting the similarity metric.

Abstract: A data processing method and system for retrieving a subset of k items from a database of n items (n?k) firstly determines a limited set of bk items (b>1) in the database which have the greatest similarity to an input query t according to a given similarity function S. A result subset is then constructed by including as a first member the item having the greatest similarity S to the query t, and iteratively selecting each successive member of the subset as that remaining item of the bk items having the highest quality Q, where Q is a given function of both similarity to the input query t and relative diversity RD with respect to the items already in the results subset. In this way the diversity of the results subset is greatly increased relative to a simple selection of the k most similar items to the query t, with only a modest additional increase in processing requirements.

Abstract: An internet website which presents a hierarchical menu structure to users includes a personalization engine 14 to automatically modify the menu structure for each user at least according to that user's previous browsing history at the site. In one embodiment the engine 14 provides, as menu options for a selected menu page of the hierarchical menu, a plurality of the most probable links which the user may wish to reach from the selected menu page. In another embodiment there are provided, as additional menu options for a particular menu page, a plurality of links which are similar, as determined by meeting a predetermined similarity metric, to menu options present on the particular menu page other than through meeting the similarity metric.

Abstract: A data processing method and system for retrieving a subset of k items from a database of n items (n≧k) firstly determines a limited set of bk items (b>1) in the database which have the greatest similarity to an input query t according to a given similarity function S. A result subset is then constructed by including as a first member the item having the greatest similarity S to the query t, and iteratively selecting each successive member of the subset as that remaining item of the bk items having the highest quality Q, where Q is a given function of both similarity to the input query t and relative diversity RD with respect to the items already in the results subset. In this way the diversity of the results subset is greatly increased relative to a simple selection of the k most similar items to the query t, with only a modest additional increase in processing requirements.

Abstract: An internet website which presents a hierarchical menu structure to users includes a personalisation engine 14 to automatically modify the menu structure for each user at least according to that user's previous browsing history at the site. In one embodiment the engine 14 provides, as menu options for a selected menu page of the hierarchical menu, a plurality of the most probable links which the user may wish to reach from the selected menu page. In another embodiment there are provided, as additional menu options for a particular menu page, a plurality of links which are similar, as determined by meeting a predetermined similarity metric, to menu options present on the particular menu page other than through meeting the similarity metric.

Abstract: An internet website which presents a hierarchical menu structure to users includes a personalization engine 14 to automatically modify the menu structure for each user at least according to that user's previous browsing history at the site. In one embodiment the engine 14 provides, as menu options for a selected menu page of the hierarchical menu, a plurality of the most probable links which the user may wish to reach from the selected menu page. In another embodiment there are provided, as additional menu options for a particular menu page, a plurality of links which are similar, as determined by meeting a predetermined similarity metric, to menu options present on the particular menu page other than through meeting the similarity metric.