User interface methods and systems for selecting and presenting content based on user navigation and selection actions associated with the content
First Claim
1. A user-interface method of selecting and presenting a collection of items in which the presentation is ordered at least in part based on navigation and selection behavior of a user learned over time, the method comprising:
- providing a set of items, each item having an associated relevance weight on a per user basis to indicate a relative measure of a likelihood that the item is desired by the user;
providing an initial associated relevance weight to each item;
receiving input entered by the user for identifying desired items;
in response to the input entered by the user, selecting and presenting a subset of items to the user as a navigable topology of items wherein the items are ordered at least in part by the initial associated relevance weights assigned to the items;
receiving input entered by the user for navigating through the topology of the subset of items and for identifying and selecting the desired items;
in response to a selection by the user of an item, presenting said item to the user and adjusting the associated relevance weight of said item;
in response to receiving subsequent input entered by the user, selecting and presenting a subset of items to the user wherein the items are ordered at least in part by the adjusted associated relevance weights assigned to the items such that items with greater associated relevance weights are presented as more relevant items.
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Abstract
A user-interface method of selecting and presenting a collection of content items based on user navigation and selection actions associated with the content is provided. The method includes associating a relevance weight on a per user basis with content items to indicate a relative measure of likelihood that the user desires the content item. The method includes receiving a user'"'"'s navigation and selections actions for identifying desired content items, and in response, adjusting the associated relevance weight of the selected content item and group of content items containing the selected item. The method includes, in response to subsequent user input, selecting and presenting a subset of content items and content groups to the user ordered by the adjusted associated relevance weights assigned to the content items and content groups.
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Citations
25 Claims
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1. A user-interface method of selecting and presenting a collection of items in which the presentation is ordered at least in part based on navigation and selection behavior of a user learned over time, the method comprising:
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providing a set of items, each item having an associated relevance weight on a per user basis to indicate a relative measure of a likelihood that the item is desired by the user; providing an initial associated relevance weight to each item; receiving input entered by the user for identifying desired items; in response to the input entered by the user, selecting and presenting a subset of items to the user as a navigable topology of items wherein the items are ordered at least in part by the initial associated relevance weights assigned to the items; receiving input entered by the user for navigating through the topology of the subset of items and for identifying and selecting the desired items; in response to a selection by the user of an item, presenting said item to the user and adjusting the associated relevance weight of said item; in response to receiving subsequent input entered by the user, selecting and presenting a subset of items to the user wherein the items are ordered at least in part by the adjusted associated relevance weights assigned to the items such that items with greater associated relevance weights are presented as more relevant items. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A user-interface method of presenting a collection of items in which the presentation is ordered at least in part based on navigation and selection behavior of a user learned over time, the method comprising:
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providing a set of items, each item having an associated relevance weight on a per user basis to indicate a relative measure of a likelihood that the item is desired by the user; providing an initial associated relevance weight to each item; receiving input entered by the user for selecting a desired item; determining a context in which the user performed the selection actions, the context including at least one of geographic location of the user, day, date, and time; in response to the selection by the user of the item, adjusting the associated relevance weight of said item and associating the context of the user selection action with the adjusted relevance weighting of said item learned from the corresponding user selection; and in response to a subsequent reoccurrence of the context in which the user performed the selection actions, identifying and presenting a subset of items to the user wherein the items are identified and ordered at least in part by the adjusted relevance weights assigned to the items that are associated with the context that has reoccurred such that items with greater associated relevance weights are presented as more relevant items. - View Dependent Claims (14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25)
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Specification