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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Travel Planner - A Guide To Your Dream Destination |
| Authors Name: | Saka Koushik , Shruti Suman , Dosapati Ganesh , Kalneedi Durga Naga Venkata Ramu , Shivendra Dubey |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_216395
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| Published Paper Id: | IJNRD2403516 |
| Published In: | Volume 9 Issue 3, March-2024 |
| DOI: | |
| Abstract: | The use of Recommender Systems has seen widespread ap- plication across various domains, with this paper focusing specifically on their implementation in the field of tourism advice and travel planning. When travelers embark on a jour- ney, they often seek local insights, information on routes, start and end times, addresses, accommodation options, nearby attractions, and more to transform their plans into a mem- orable trip. In some cases, travelers may reach out to tourism companies to help organize their itineraries. However, these company-created packages often overlook individual prefer- ences and interests, leading to a disconnect between travelers’ expectations and the experiences they receive. Research has highlighted that existing tourism advice agencies often pro- vide suggestions that do not align with what travelers truly desire. One of the primary reasons for this discrepancy is the failure to incorporate previous user reviews and ratings into the recommendation process. In response to these challenges, this paper introduces a novel approach to tour guide planning, leveraging a combination of consumer testing features. By taking into account three key elements—diverse explorations, ratings, and emotional responses—a personalized analysis is conducted and integrated into the recommendations for tourist destinations. This paper presents a human-centric tourism recommendation system, designed to bridge the gap between travelers’ unique preferences and the experiences they en- counter. The recommendation system is implemented as a web application capable of generating a personalized list of points of interest for travelers. |
| Keywords: | Travel Itinerary Recommendations , Website, Planning, Trip. |
| Cite Article: | "Travel Planner - A Guide To Your Dream Destination ", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 3, page no.f123-f127, March-2024, Available :http://www.ijnrd.org/papers/IJNRD2403516.pdf |
| Downloads: | 00027 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2403516 Registration ID: 216395 Published In: Volume 9 Issue 3, March-2024 DOI (Digital Object Identifier): Page No: f123-f127 Country: Vishakapatnam, Andhra Pradesh, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2403516 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2403516 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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