Methods and systems for segmenting relative user preferences into fine-grain and coarse-grain collections
First Claim
1. A user-interface method of selecting and presenting a collection of content items in which the presentation is ordered at least in part based on learned user preferences, the method comprising:
- providing access to a set of content items, each content item having at least one associated descriptive term to describe the content item;
receiving incremental input entered by the user for incrementally identifying desired content items;
in response to the incremental input entered by the user, presenting a subset of content items;
receiving selection actions of content items of the subset from the user;
analyzing the descriptive terms associated with the selected content items to learn the preferred descriptive terms of the user;
expressing the learned preferred descriptive terms as a segmented measurement collection having at least one coarse grain segment, wherein the coarse grain segment has relatively coarse grain differentiation of measurements associated with preferred descriptive terms within the segment, wherein the coarse grain segment includes at least two measurement groups, each measurement group having a preselected range of measurement values that determine which measurements are in the measurement group so that any measurements in a particular measurement group are not differentiated from other measurements in the same group, and wherein the measurements in different measurement groups are differentiated from each other; and
in response to receiving subsequent incremental input entered by the user, selecting and ordering a collection of content items by promoting the ranking of content items associated with the learned preferred descriptive terms of the user according to the differentiation provided by the segmented measurement collection;
wherein at least one of the incremental input and the subsequent incremental input are entered by the user on an input constrained device.
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Abstract
A method of segmenting relative user preferences into fine-grain and coarse-grain collections is provided. The method includes providing a set of content items having associated descriptive terms. The method also includes receiving user search input and, in response thereto, presenting a subset of content items. The method includes receiving user selection actions and analyzing the selections to learn the user'"'"'s preferred descriptive terms. The method includes expressing the learned preferred descriptive terms as a segmented probability distribution function having at least one fine grain segment and at least one coarse grain segment. In response to subsequent search input, the method calls for selecting and ordering a collection of content items by promoting the ranking of content items associated with the learned preferred descriptive terms of the user according to the differentiation provided by the segmented probability distribution function.
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Citations
25 Claims
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1. A user-interface method of selecting and presenting a collection of content items in which the presentation is ordered at least in part based on learned user preferences, the method comprising:
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providing access to a set of content items, each content item having at least one associated descriptive term to describe the content item; receiving incremental input entered by the user for incrementally identifying desired content items; in response to the incremental input entered by the user, presenting a subset of content items; receiving selection actions of content items of the subset from the user; analyzing the descriptive terms associated with the selected content items to learn the preferred descriptive terms of the user; expressing the learned preferred descriptive terms as a segmented measurement collection having at least one coarse grain segment, wherein the coarse grain segment has relatively coarse grain differentiation of measurements associated with preferred descriptive terms within the segment, wherein the coarse grain segment includes at least two measurement groups, each measurement group having a preselected range of measurement values that determine which measurements are in the measurement group so that any measurements in a particular measurement group are not differentiated from other measurements in the same group, and wherein the measurements in different measurement groups are differentiated from each other; and in response to receiving subsequent incremental input entered by the user, selecting and ordering a collection of content items by promoting the ranking of content items associated with the learned preferred descriptive terms of the user according to the differentiation provided by the segmented measurement collection; wherein at least one of the incremental input and the subsequent incremental input are entered by the user on an input constrained device. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25)
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Specification