This leading search engine is also where many potential guests turn for general location-based searches. If you appear as a solution throughout their trip research, they may be more likely to consider your hotel as their home base during their travels. Everyone and their grandmother are on Facebook nowadays, so you likely already know that Facebook allows users to leave reviews and ratings for businesses on the platform. These reviews can be seen by other users, and can be a valuable source of information for customers when they are considering making a purchase or trying out a new service. If you already have a Facebook business page, getting started collecting Facebook reviews is quick and simple. Users can search for hotels, vacation rentals, and other types of lodging based on criteria like location, dates, and amenities. In addition to its search and comparison features, Trivago also offers a variety of resources such as destination guides and travel blog articles. Yelp is a website and mobile app that allows users to search for and review local businesses, including restaurants, bars, shops, and more.

Adventure is not just for adrenaline junkies, it’s for everyone who wants to experience life differently. At Index Adventure we have carefully selected itineraries specially designed for families who can enjoy a journey filled with adventure and bonding. Why to choose EBC helicopter tour? The helicopter tour experience ensures a safe and comfortable journey while providing breathtaking views of the Himalayan landscape, including the iconic Mount Everest. These tours typically come as part of a package, encompassing round-trip helicopter flights, necessary permits, knowledgeable guides, and occasionally, meals at the renowned Everest View Hotel. The tour’s duration typically spans between 4 to 6 hours, encompassing not only the flight itself but also a captivating stop at Everest Base Camp. We had been to mardi himal trek from 16th to 20 October through index adventure, our tour guide prakash,porters sagar and santosh, four trekkers,including me .our trek started with a tata winger ride of 2 hours from pokhara to kande. I was on Pokhara to meet one of my friends.

Martin-Fuentes, E. and Mellinas, J.P. 73 No. 4, pp. Martin-Fuentes, E., Fernandez, C., Mateu, C. and Marine-Roig, E. (2018), “Modelling a grading scheme for peer-to-peer accommodation: stars for airbnb”, International Journal of Hospitality Management, Vol. 23 No. 1, pp. Mellinas, J.P., Martínez María-Dolores, S.-M. Bernal García, J.J. (2015), “Booking.com: the unexpected scoring system”, Tourism Management, Vol. Mellinas, J.P. and Reino, S. (2018), “‘Neutrality in descriptions beside overall hotel scores”, Conference Proceedings The INC, pp. Mellinas, J.P. and Reino, S. (2019), “Average scores integration in official star rating scheme”, Journal of Hospitality and Tourism Technology, Vol. Mellinas, J.P., Martínez María-Dolores, S.-M. Muangon, A., Thammaboosadee, S. and Haruechaiyasak, C. (2014), “A lexiconizing framework of feature-based opinion mining in tourism industry”, 2014 4th International Conference on Digital Information and Communication Technology and Its Applications, DICTAP, pp. Nieto-Garcia, M., Resce, G., Ishizaka, A., Occhiocupo, N. and Viglia, G. (2019), “The dimensions of hotel customer ratings that boost RevPAR”, International Journal of Hospitality Management, Vol. Park, Y.A., Gretzel, U. and Sirakaya-Turk, E. (2007), “Measuring website quality for online travel agencies”, Journal of Travel & Tourism Marketing, Vol. 23 No. 1, pp. Parra, E., Mellinas, J.P., Martínez María-Dolores, S.-M., Bernal Garcia, J.J. Gutiérrez-Taño, D. (2018), “Effects of reviews scales on hotel online reputation”, in XII Congreso Internacional de Turismo y Tecnologías de la información y las comunicaciones Turitec 2018, Malaga, pp. Patel, B.S., Varma, T. and Patel, P.S. (2015), “A survey on feature based opinion mining for tourism industry”, Journal of Engineering Computers & Applied Sciences, Vol. 4 No. 3, pp. Poggi, N., Moreno, T., Berral, J.L., Gavaldà, R. and Torres, J. (2007), ‘“Web customer modeling for automated session prioritization on high traffic sites”, in Conati, C., McCoy, K. and Paliouras, G. (Eds), User Modeling 2007, Springer Berlin Heidelberg, pp.

For our tool to help you figure out a price, there were a few factors to consider. First, this was a once-in-a-generation event in that country, so we at Airbnb have absolutely no historical data to look at. Second, every hotel was sold out, so clearly there was a massive imbalance between supply and demand. Third, the people coming to visit already had paid immense sums for their tickets and international travel, so they’d probably be prepared to pay a lot for a room. All of that had to be considered in addition to the obvious parameters of size, number of rooms, and location. Or imagine you’ve inherited a castle in the Highlands of Scotland and, in order to pay the costs of cleaning the moats, operating the distillery, and feeding the falcons, you decide to turn the turret into a bed-and-breakfast. Unlike the World Cup situation, you’d have some comparative data, based on nearby castles.