Recommendation system, apparatus and method thereof to guide self-service analysis

A user configuration and data analysis technology, applied in the field of data analysis, can solve problems such as incomprehension, users do not know the analysis path, and visual display is not displayed, so as to reduce the effect of big data analysis

Active Publication Date: 2018-08-03
HUAWEI TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The problem with existing self-service analytics is that users don't know the correct path to analyze when they start analyzing data
Also, the technique is dependent on the administrator (i.e., human intervention) configuring the path, which does not imply any visual display of the output, making it difficult to understand

Method used

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  • Recommendation system, apparatus and method thereof to guide self-service analysis
  • Recommendation system, apparatus and method thereof to guide self-service analysis
  • Recommendation system, apparatus and method thereof to guide self-service analysis

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Embodiment Construction

[0052] The technical solutions in the embodiments of the present invention will be clearly described below with reference to the drawings in the embodiments of the present invention. Apparently, the described embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0053] The invention can be implemented in numerous ways, including as a process, an apparatus, a system, a composition of matter, a computer readable medium such as a computer readable storage medium, or a computer network where program instructions are transmitted over optical or electronic communication links. In this specification, these implementations, or any other form that the invention may take, may be referred to as techniques. In general, the order of steps in ...

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Abstract

Provided is a system that offers user with various automated guidance which are identified intelligently based on current analysis path of the user to provide automatic recommendations for analysis path so as to ease the big data analysis. The recommendations are based on other expert user's analysis already performed. The user chooses analysis path recommendations to arrive at the final result inless time and with ease. The system can learn continuously from the analysis path of the other users on similar data. The system utilizes the collaborative knowledge form all users for giving recommendations. The system and / or an apparatus (800) has a receiving module (808), a user interaction profiler module (810), a user profile matcher module (812), and a recommendation module (814) to provideautomatic recommendations to the users.

Description

technical field [0001] The invention described herein relates generally to the field of data analytics, and more specifically to data analytics and recommendation systems, methods and apparatus for guiding self-service analytics by providing automatic recommendations of analytics paths. Background technique [0002] Traditional data analytics systems for analyzing and reporting data have two types of users: secondary developers and end users. Secondary developers may include, but are not limited to, business intelligence specialists, data scientists, and information technology personnel. As shown in Figure 1, the role of the secondary developer is to create complex analytical queries using sequential query language (SQL), multidimensional expressions (Multidimensional Expressions (MDX), or equivalent data query languages) and to use these complex queries Deploy the analysis templates in the analysis server. The end user's role is to select a pre-configured analysis templat...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/26
Inventor 布丕·库马尔·杰恩普尼特·古普塔V·魏玛·达斯·卡马斯
Owner HUAWEI TECH CO LTD
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