UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 3
March-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIRAU06048


Registration ID:
202003

Page Number

351-358

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Title

A KEYWORD BASED TRAVEL ROUTE RECOMMENDATION

Abstract

The Popularity of social media (eg, Facebook and Flicker), users can share their easily check-in records and photos during their trips. In view of the massive range of user quality historical records in social media, tend to aim to get travel experiences to facilitate trip coming up with. When coming up with a visit, users continuously have specific preferences relating to their visits. Instead of prescribing restricted users to question choices like locations, activities, or time periods, tend to text descriptions concerning capricious as keywords about customized needs. Prior works have elaborate on mining and ranking existing arrival routes from knowledge to fulfill the necessity for automatic trip organization, tend to claim that additional options of Places of Interest (POIs) ought to be Extracted. Therefore, throughout paper, we have a tendency to tend to associate propose economical Keyword-aware framework Representative Travel Route That use information extraction from users' quality historical records and social interactions. Explicitly, we've got a keyword extraction module designed to classify the POI-related tags, for effective matching with question keywords. we've got additional route designed to reconstruction algorithmic rule to construct that fulfill the candidates route necessities. to supply appropriate question results, tend to explore Representative Skyline ideas, That is, the Skyline routes That best describes the trade-offs Among totally different dish options to guage the effectiveness and potency of the planned algorithms, got Conducted in depth experiments actual on location -based social network datasets.

Key Words

Location-based social network, text mining, travel route recommendation.

Cite This Article

"A KEYWORD BASED TRAVEL ROUTE RECOMMENDATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.351-358, March-2019, Available :http://www.jetir.org/papers/JETIRAU06048.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"A KEYWORD BASED TRAVEL ROUTE RECOMMENDATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp351-358, March-2019, Available at : http://www.jetir.org/papers/JETIRAU06048.pdf

Publication Details

Published Paper ID: JETIRAU06048
Registration ID: 202003
Published In: Volume 6 | Issue 3 | Year March-2019
DOI (Digital Object Identifier):
Page No: 351-358
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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