Impact Factor:6.549
 Scopus Suggested Journal: UNDER REVIEW for TITLE INCLUSSION

International Journal
of Computer Engineering in Research Trends (IJCERT)

Scholarly, Peer-Reviewed, Open Access and Multidisciplinary

Welcome to IJCERT

International Journal of Computer Engineering in Research Trends. Scholarly, Peer-Reviewed,Open Access and Multidisciplinary

ISSN(Online):2349-7084                 Submit Paper    Check Paper Status    Conference Proposal

Back to Current Issues

TAST Model for Travel Package Recommendation

M.Tech (CSE), Priyadarshini Institute of Technology & Management
Associate Professor ( Dept.of CSE), Priyadarshini Institute of Technology & Management

Last few years ago a business needs travel, and generally that's lots of the time for created sensible packages and appropriate to customers. This paper provides a study of exploiting on-line travel info for customized travel package recommendation. A vital challenge on this line is to handle the distinctive characteristics of travel information that differentiate packages from ancient things for recommendation. Period of time has connected within the analysis domain of ITS. Cluster Strategy is used as a prevailing tool of discovering hidden data which will be applied on historical traffic information to predict correct period of time. A vital challenge on this line is to handle the distinctive characteristics of travel information that distinguish travel packages from ancient things for suggestion. This TAST model will represent travel packages and tourists by distributions. In MKC approach, a collection of historical information is portioned into a bunch of meaning sub-classes (also referred to as clusters) supported period of time, frequency of travel of period of time and velocity for specific road phase and time cluster. we tend to extend the TAST model to the TRAST model for capturing the latent relationships among the tourists in every travel cluster. The TAST model, the TRAST model, and also the cocktail recommendation approach on the real-world travel package information. TAST model will effectively capture the distinctive characteristics of the travel information and also the cocktail approach is, thus, rather more effective than ancient recommendation techniques for travel package recommendation.

INDLA IRMIYA,K.KIRAN KUMAR."TAST Model for Travel Package Recommendation". International Journal of Computer Engineering In Research Trends (IJCERT) ,ISSN:2349-7084 ,Vol.2, Issue 11,pp.814-819, November- 2015, URL :,

Keywords : Tourist Relation Area Season topic (TRAST), Intelligence Transport System (ITS), Modified K Means Clustering (MKC).

[1] Chen, M., Chien, S.: Dynamic freeway travel time prediction using probe vehicle data: Link-based vs. Path Research Record, TRB Paper No. 01 
[2] Wei, C.H., Lee, Y.: Development of Freeway Travel Time Models by Integrat-ing Different Sources of Traffic Data. IEEE Transactions on Vehicular Technology 56 (2007) 
[3] Chun-Hsin, W., Chia-Chen, W., Da H.: Travel Time Prediction with Support Vector Regression. In: IEEE Intelligent Transportation Systems Conference (2003)
[4] Kwon, J., Petty, K.: A travel time prediction algorithm scalable to freeway networks with many nodes with arbitrary travel routes. In: Transportation Research Board 84th Annual Meeting, Washington, D.C. (2005).
 [5] Park, D., Rilett, L.: Forecasting multiple times using modular neural networks. J. of Transportation Research Record 1617, 163–170 (1998). 
[6] Park, D., Rilett, L.: Spectral basis neural networks for real time forecasting. J. of Transport Engineering 125(6), 515 [7] Qi Liu, Enhong Chen, HuiXiong, Wu: A Cocktail Approach for Travel Package Recommendation. Trans. Knowl. Data Eng. 26(2): 278 
[8] Q. Liu, Y. Ge, Z. Li, H. Xiong, and E. Chen, “Personalized Travel Package Recommendation,” Data Mining (ICDM ’11), pp. 407 2011. 
[9] F. Ricci, D. Cavada, N. Mirzadeh, and N. Venturini, “Case Recommendations,” Destination Recommendation Systems: Behavioural Foundations and Applications, chapter 6, pp. 67
 [10] Tan, C., Liu, Q., Chen, E., Xiong, H., and Wu, X. 2013. Object oriented Travel Package Recommendation. ACM Trans. Intell. Syst. Technol. 
[11] Y. Ge et al., “Cost-Aware Travel Tour Recommendation,” Proc. 17thACM SIGKDD Int’l Conf. Knowledge Discovery and Data Mining(SIGKDD ’11), pp. 983-991, 2011. 
[12] Tariq Mahmooda, Francesco Riccib, Adriano Venturinic, and Wolfram Höpkend, “Adaptive Recommender Systems for Travel Planning 
[13] F. Fouss et al., “Random-Walk Computation of Similarities between Nodes of a Graph with Application to IEEE Trans. Knowledge and Data Eng., vol. 19, no. 3, pp. 355 Mar. 2007.


Download :

Refbacks : Currently there are no Refbacks


Authors are not required to pay any article-processing charges (APC) for their article to be published open access in Journal IJCERT. No charge is involved in any stage of the publication process, from administrating peer review to copy editing and hosting the final article on dedicated servers. This is free for all authors. 

News & Events

Latest issue :Volume 10 Issue 1 Articles In press

A plagiarism check will be implemented for all the articles using world-renowned software. Turnitin.

Digital Object Identifier will be assigned for all the articles being published in the Journal from September 2016 issue, i.e. Volume 3, Issue 9, 2016.

IJCERT is a member of the prestigious.Each of the IJCERT articles has its unique DOI reference.
DOI Prefix : 10.22362/ijcert

IJCERT is member of The Publishers International Linking Association, Inc. (“PILA”)

Emerging Sources Citation Index (in process)

IJCERT title is under evaluation by Scopus.

Key Dates

☞   LAST DATE OF SUBMISSION : 31st March 2023
In 7 Days

Important Announcements

All the authors, conference coordinators, conveners, and guest editors kindly check their articles' originality before submitting them to IJCERT. If any material is found to be duplicate submission or sent to other journals when the content is in the process with IJCERT, fabricated data, cut and paste (plagiarized), at any stage of processing of material, IJCERT is bound to take the following actions.
1. Rejection of the article.
2. The author will be blocked for future communication with IJCERT if duplicate articles are submitted.
3. A letter regarding this will be posted to the Principal/Director of the Institution where the study was conducted.
4. A List of blacklisted authors will be shared among the Chief Editors of other prestigious Journals
We have been screening articles for plagiarism with a world-renowned tool: Turnitin However, it is only rejected if found plagiarized. This more stern action is being taken because of the illegal behavior of a handful of authors who have been involved in ethical misconduct. The Screening and making a decision on such articles costs colossal time and resources for the journal. It directly delays the process of genuine materials.

Citation Index

Citations Indices All
Citations 1026
h-index 14
i10-index 20
Source: Google Scholar

Acceptance Rate (By Year)

Acceptance Rate (By Year)
Year Rate
2021 10.8%
2020 13.6%
2019 15.9%
2018 14.5%
2017 16.6%
2016 15.8%
2015 18.2%
2014 20.6%

Important Links

Conference Proposal