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Title: :  Surve on “ Travel Recommendation Using POI of User
PaperId: :  8613
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 4 Issue 3 2018
DUI:    16.0415/IJARIIE-8613
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
dhanashri malispcoe otur,pune
jadhav poojaspcoe otur,pune
vaishali jadhavspcoe otur,pune
K . S. Korespcoe otur,pune

Abstract

computer engineering
Travel recommendation, Geo-tagged photos, social media, multimedia information retrieval, POI(Point of Interest), GPS, Collaborative Filtering (CF), Location-based
Big data increasingly benefit both research and industrial area such as health care, finance service and commercial recommendation. This paper presents a personalized travel sequence recommendation from both travelogues and community-contributed photos and the heterogeneous metadata (e.g., tags, geo-location, and date taken) associated with these photos. Unlike most existing travel recommendation approaches, our approach is not only personalized to user’s travel interest but also able to recommend a travel sequence rather than individual Points of Interest (POIs). Topical package space including representative tags, the distributions of cost, visiting time and visiting season of each topic, is mined to bridge the vocabulary gap between user travel preference and travel routes. We take advantage of the complementary of two kinds of social media: travelogue and community-contributed photos. We map both user’s and routes’ textual descriptions to the topical package space to get user topical package model and route topical package model (i.e., topical interest, cost, time and season). To recommend personalized POI sequence, first, famous routes are ranked according to the similarity between user package and route package. Then top ranked routes are further optimized by social similar users’ travel records. Representative images with viewpoint and seasonal diversity of POIs are shown to offer a more comprehensive impression. We evaluate our recommendation system on a collection of 7 million Flickr images uploaded by 7,387 users and 24,008 travelogues covering 864 travel POIs in 9 famous cities, and show its effectiveness. We also contribute a new dataset with more than 200K photos with heterogeneous metadata in 9 famous cities.

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IJARIIE dhanashri mali, jadhav pooja, vaishali jadhav, and K . S. Kore. "Surve on “ Travel Recommendation Using POI of User" International Journal Of Advance Research And Innovative Ideas In Education Volume 4 Issue 3 2018 Page 1500-1504
MLA dhanashri mali, jadhav pooja, vaishali jadhav, and K . S. Kore. "Surve on “ Travel Recommendation Using POI of User." International Journal Of Advance Research And Innovative Ideas In Education 4.3(2018) : 1500-1504.
APA dhanashri mali, jadhav pooja, vaishali jadhav, & K . S. Kore. (2018). Surve on “ Travel Recommendation Using POI of User. International Journal Of Advance Research And Innovative Ideas In Education, 4(3), 1500-1504.
Chicago dhanashri mali, jadhav pooja, vaishali jadhav, and K . S. Kore. "Surve on “ Travel Recommendation Using POI of User." International Journal Of Advance Research And Innovative Ideas In Education 4, no. 3 (2018) : 1500-1504.
Oxford dhanashri mali, jadhav pooja, vaishali jadhav, and K . S. Kore. 'Surve on “ Travel Recommendation Using POI of User', International Journal Of Advance Research And Innovative Ideas In Education, vol. 4, no. 3, 2018, p. 1500-1504. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/Surve_on_“_Travel__Recommendation_Using__POI__of_User_ijariie8613.pdf (Accessed : ).
Harvard dhanashri mali, jadhav pooja, vaishali jadhav, and K . S. Kore. (2018) 'Surve on “ Travel Recommendation Using POI of User', International Journal Of Advance Research And Innovative Ideas In Education, 4(3), pp. 1500-1504IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/Surve_on_“_Travel__Recommendation_Using__POI__of_User_ijariie8613.pdf (Accessed : )
IEEE dhanashri mali, jadhav pooja, vaishali jadhav, and K . S. Kore, "Surve on “ Travel Recommendation Using POI of User," International Journal Of Advance Research And Innovative Ideas In Education, vol. 4, no. 3, pp. 1500-1504, May-Jun 2018. [Online]. Available: http://ijariie.com/AdminUploadPdf/Surve_on_“_Travel__Recommendation_Using__POI__of_User_ijariie8613.pdf [Accessed : ].
Turabian dhanashri mali, jadhav pooja, vaishali jadhav, and K . S. Kore. "Surve on “ Travel Recommendation Using POI of User." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 4 number 3 ().
Vancouver dhanashri mali, jadhav pooja, vaishali jadhav, and K . S. Kore. Surve on “ Travel Recommendation Using POI of User. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2018 [Cited : ]; 4(3) : 1500-1504. Available from: http://ijariie.com/AdminUploadPdf/Surve_on_“_Travel__Recommendation_Using__POI__of_User_ijariie8613.pdf
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