Intelligently driven visual interface on mobile devices and tablets based on implicit and explicit user actions

A system including one or more processors coupled to memory, the memory loaded with computer instructions to perform user identification of a desired document, the instructions, when executed on the processors, implement actions comprising:

• providing, accessibly to a computer system, a database identifying (i) a catalog of documents in an embedding space and (ii) a distance between each pair of the documents in the embedding space, the distance corresponding to a predetermined measure of dissimilarity between the pair of documents;
• a clustering step of a computer system forming K>1 clusters of documents of the documents in the embedding space, such that each document of the catalog is included in a cluster of the K clusters;
• a medoid locating step of locating a medoid document for each of the clusters;
• adjusting a boundary of each of the clusters in dependence on the located medoid document of the respective cluster;
• a representative selection step of selecting Mk>1 representative documents from each k'th one of the clusters;
• a cluster presentation step of identifying for dynamic display toward the user, K groupings of documents, wherein each of the groupings identifies the selected Mk representative documents of a corresponding one of the clusters;
• a document presentation step of, in response to user selection of one of the groupings, identifying, for dynamic display toward the user, a predetermined number Pk>0 of documents of the cluster which corresponds to the selected grouping;
• and
• a feedback step of receiving user feedback for one or more of the Pk documents identified for dynamic display toward the user,
• wherein the user feedback indicates that the user likes one or more documents of the Pk documents and that the user dislikes one or more other documents of the Pk documents,
• wherein the liked one or more documents is a set of liked documents,
• wherein the disliked one or more documents is a set of disliked documents,
• wherein the cluster that corresponds to the selected grouping is a selected cluster, and
• wherein the actions further comprise identifying, for dynamic presentation to the user, a subsequent document from the selected cluster in dependence on the set of liked documents and the set of disliked documents.

A non-transitory computer readable storage medium impressed with computer program instructions to perform user identification of a desired document, the instructions, when executed on a processor, implement a method comprising:

• a clustering step of a computer system forming K>1 clusters of documents of the documents in the embedding space, such that each document of the catalog is included in a cluster of the K clusters;
• a medoid locating step of locating a medoid document for each of the clusters;
• adjusting a boundary of each of the clusters in dependence on the located medoid document of the respective cluster;
• a representative selection step of selecting Mk>1 representative documents from each k'th one of the clusters;
• a cluster presentation step of identifying for dynamic display toward the user, K groupings of documents, wherein each of the groupings identifies the selected Mk representative documents of a corresponding one of the clusters;
• a document presentation step of, in response to user selection of one of the groupings, identifying, for dynamic display toward the user, a predetermined number Pk>0 of documents of the cluster which corresponds to the selected grouping;
• and
• a feedback step of receiving user feedback for one or more of the Pk documents identified for dynamic display toward the user,
• wherein the user feedback indicates that the user likes one or more documents of the Pk documents and that the user dislikes one or more other documents of the Pk documents,
• wherein the liked one or more documents is a set of liked documents,
• wherein the disliked one or more documents is a set of disliked documents,
• wherein the cluster that corresponds to the selected grouping is a selected cluster, and
• wherein the method further comprises identifying, for dynamic presentation to the user, a subsequent document from the selected cluster in dependence on the set of liked documents and the set of disliked documents.