Title:
CACHING OF TEXT ANALYTICS BASED ON TOPIC DEMAND AND MEMORY CONSTRAINTS
Document Type and Number:
WIPO Patent Application WO/2024/060812
Kind Code:
A1
Abstract:
An embodiment includes analyzing text content of a user query to identify via natural language processing (NLP) a query topic. The embodiment maps the query topic to a topic cluster at a node of a hierarchical model of a text database. The embodiment generates query demand data indicative of demand for the topic cluster based on user queries. The embodiment identifies the topic cluster as a topic-cache candidate based on the query demand data. The embodiment compares an amount of memory required for storing text associated with the first topic cluster to available cache memory. The embodiment caches the text of the topic cluster candidate upon determining that there is sufficient available cache memory space.
Inventors:
SIVAKUMAR GANDHI (AU)
MARVANIYA SMITKUMAR NAROTAMBHAI (IN)
EKAMBARAM VIJAY (IN)
MACURA LUKE PETER (AU)
MARVANIYA SMITKUMAR NAROTAMBHAI (IN)
EKAMBARAM VIJAY (IN)
MACURA LUKE PETER (AU)
Application Number:
PCT/CN2023/108093
Publication Date:
March 28, 2024
Filing Date:
July 19, 2023
Export Citation:
Assignee:
IBM (US)
IBM CHINA CO LTD (CN)
IBM CHINA CO LTD (CN)
International Classes:
G06F16/33
Foreign References:
| US20200356578A1 | 2020-11-12 | |||
| US8972404B1 | 2015-03-03 | |||
| US20210209107A1 | 2021-07-08 | |||
| US20140377735A1 | 2014-12-25 | |||
| US20170132141A1 | 2017-05-11 | |||
| US20190065500A1 | 2019-02-28 |
Attorney, Agent or Firm:
CCPIT PATENT AND TRADEMARK LAW OFFICE (CN)
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