发明名称 ACCESS AND PRESENTATION OF FILES BASED ON SEMANTIC PROXIMITY TO CURRENT INTERESTS
摘要 A computer program product for managing and rendering one or more information nodes relative to a current focus. The computer program product receives one or more principal topics from an analysis of the information nodes. The computer program product determines a topic vector from a similarity of a first information node to each of the principal topics and a map from the topic vector to a storage location of the first information node. The computer program product determines one or more current topics from a second information node that has been recently accessed by a user and a current focus vector from a similarity of the one or more current topics to the one or more principal topics. The computer program product renders the current focus vector and the first information node according to a rendering algorithm that is applied to the current focus vector and the first information node.
申请公布号 US2017024458(A1) 申请公布日期 2017.01.26
申请号 US201615254254 申请日期 2016.09.01
申请人 International Business Machines Corporation 发明人 Gaucher Brian P.;Kephart Jeffrey O.;Lenchner Jonathan;Melville David O.S.
分类号 G06F17/30 主分类号 G06F17/30
代理机构 代理人
主权项 1. A computer program product for managing and rendering one or more information nodes relative to a current focus, the computer program product comprising: one or more non-transitory computer-readable storage media and program instructions stored on at least one of the one or more non-transitory computer-readable storage media, the program instructions comprising: program instructions to receive one or more principal topics from a content of one or more information nodes visited by a user, wherein the one or more information nodes includes at least one first information node;program instructions to determine a topic vector from a similarity of a content of the first information node to the one or more principal topics, wherein the topic vector is determined using a Latent Dirichlet Allocation algorithm;program instructions to create a map from the topic vector to a storage location of the first information node;program instructions to determine one or more current topics from a content of a second information node, wherein the second information node is an information node that has been accessed recently;program instructions to determine a current focus vector from a similarity of the one or more current topics to each of the one or more principal topics, wherein the current focus vector is determined using the Latent Dirichlet Allocation algorithm;program instructions to render a representation of the current focus vector and a representation of the first information node according to a rendering algorithm, wherein the rendering algorithm: determines a position and a size of the representation of the current focus vector and of the first information node;includes a force-directed drawing algorithm;includes an algorithm that renders a content of the first information node as a word cloud; anduses the similarity of the one or more current topics to each of the one or more principal topics to generate a position and a size of the representation of the current focus vector and of the first information node; andprogram instructions to access the first information node in the storage location by selecting the representation of the first information node.
地址 Armonk NY US