Browse Prior Art Database

One Method of Data-measuring Recommendation based on Individual Difference of Hobbies and Culture by Big Data Analytics

IP.com Disclosure Number: IPCOM000239490D
Publication Date: 2014-Nov-12
Document File: 6 page(s) / 123K

Publishing Venue

The IP.com Prior Art Database

Abstract

This article will introduce a disclosure which designs a system and method to let the travelers ,who get in trouble for making traveling plan, automatically get a smarter suggested plan or journey plan recommendation from hundreds of thousands of traveling guides in popular traveling web sites. And the core idea, the advantages, the designed architecture of this disclosure will be introduced too.

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This is the abbreviated version, containing approximately 52% of the total text.

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One Method of Data

One Method of Data-

--measuring Recommendation based on Individual Difference of Hobbies and Culture by Big Data

measuring Recommendation based on Individual Difference of Hobbies and Culture by Big Data

measuring Recommendation based on Individual Difference of Hobbies and Culture by Big Data

Analytics

This disclosure designs a system and method to let the travelers ,who get in trouble for making traveling plan, automatically get a smarter suggested plan or journey plan recommendation from hundreds of thousands of traveling guides in popular traveling web sites .

A general known solution is to manually search a few traveling guide articles in main traveling web site, then compose a traveling plan per simple and subjective analysis.

The drawbacks of this known solution includes:

1) Travelling guides searched by traveler is very limited, since the searching process is manual.

2) Analysis result is not very accurate.

3) Analyzing efficiency is very low.

This disclosure can conquer above drawbacks.

The core idea of this disclosure includes:
1)Firstly, the system will get travelling guide data from big travelling web site.

2)Then the system will help traveler to compose travelling plan via basic info, statistical analysis of scenic spot , statistical analysis of semantic words, etc.

The advantages of this disclosure include:
1) The travelling guide data which is for analysis is very big.

2) The analysis process references manually designing process, so the final result will be closed to manually designed result.
3) The analyzing efficiency is very high, since the system will use big data technics to analyze.

Overview

Overview

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From overview, there are 2 functionalities of this system.

Function 1, Obtain big data of travelling guide: this functionality will use network spider to get huge travelling guide data from hundreds of thousands of traveling guide articles from travelling service stations and put these data into a Traveling guide big data DB . Function 2, Generate recommended traveling plan: this functionality will firstly gather traveler's basic info, then composing a most suitable plan via basic info statistic analysis, statistical analysis of scenic spot , statistical analysis of semantic words.

Detailed view

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1.

.. Obtain big data of traveling guide

Obtain big data of traveling guide.

1.1 Get travel...