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A System for Identifying Voyage Package Using Different Recommendations Techniques

Gajjela.Sandeep, R. Chandrashekar, , ,
Affiliations
M.Tech (CS),Department of Computer Science & Engineering , Sri Indu Institute of Engineering & Technology, Sheriguda (v)Ibrahimpatnam(M), RR District,501510
Assistant Professor, Department of Computer Science & Engineering , Sri Indu Institute of Engineering & Technology, Sheriguda (v)Ibrahimpatnam(M), RR District,501510
:NOT ASSIGNED


Abstract
- Recommendation system is very useful Technique for both Traveler and providers. And it’s provides various techniques to voyages to choose best tour package. However, most voyage recommender systems available are complicated and Confusing and usually rely on explicit user ratings to recommend, travel packages. However, user ratings for travel data are sparse, therein reducing their effectiveness in recommending travel packages.The unique characteristics of Voyage l packages are area of interest, session and travel mode. The tour spots are distributed in many geographical locations. In e- commerce the recommender system are having great victory. Here I proposed to develop new voyage system based on user’s interest and spatial-temporal correlations that exist within sets of locations, seasons and attractions. Further, I will assess relationships between travel users so than common users can be arranged into travel groups or the people who wants to travel as a group with their family or friends can also be arranged into travel groups.


Citation
Gajjela.Sandeep,R. Chandrashekar."A System for Identifying Voyage Package Using Different Recommendations Techniques". International Journal of Computer Engineering In Research Trends (IJCERT) ,ISSN:2349-7084 ,Vol.2, Issue 09,pp.646-650, SEPTEMBER - 2015, URL :https://ijcert.org/ems/ijcert_papers/V2I925.pdf,


Keywords : collaborative filtering , recommender systems , AI techniques , Voyage Package.

References
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