Artificial intelligence applied to challenges in the fields of operations and customer support

Arvapally, Ravi Santosh; Hicsasmaz, Hasan; Faro, Wally Lo

doi:10.1109/bigdata.2017.8258347

Cited by 2 publications

(1 citation statement)

References 5 publications

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“…Their regimes hoard the data, in the cited dissertation, they also deliver four divergent cases of implementing to the stored data seeking the solutions for their business challenges. [21] Next observed paper was carried out in as a home automation project which means the monitoring of lights, IoT devices, designated switches, and several other powered appliances in a house with Internet of things which is extensively opted these days. It proposed a web-app with all the inter-connectable gadgets and were operated VI internet.…”

Section: Chatbotmentioning

confidence: 99%

Design and Development of Travel and Tourism Recommendation System using Web-Scraped Data Positioned on Artificial Intelligence and Machine Learning

Kumar¹

2020

IJATCSE

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Internet is filled with innumerable websites offering the desired data, like here the information about flights and hotels, their reservations, also recommendations built on the searches performed for the dates and locations. Whereas, if one visits to other travel websites, they must be having enormous nominations, but it will be difficult to select one competitive price, he must scroll through all of these websites analyzing each suited offer and hence, it becomes a tedious task. This web-based application presents the user with hand-picked cheap and cheerful choice. With a developed strategy for extracting web information, an important method using python scripts, this process becomes very much simpler. Well, Travelling is a unification of an expedition, exploring delightful time, residing at a new location under some different weather conditions, celebrating events, trying new cuisines and many other experiences. To enhance such episodes of life, we comprehensively look for some assistance, like, scheduling a journey. Currently, tourism concerned guidance obtainable on the internet is inexhaustible, but scouting those acceptable getaway plans, and related services may be a prolonged process. While a recommender engine or system can be supported for diverse travel queries, for instance, prime stations for a vacation, favorable weather or a brisk conveyance. An artificial conversation module, a chatbot for this purpose empowers clients to ask their queries regarding their trips, saving their prestigious time, as they can collect the details during their textual communication. So, in this paper, an efficacious study on travel and correlated characteristics like flight and hotel bookings, along with some packages and interpreting recommendations as per users' heterogeneous preferences.

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Section: Chatbotmentioning

confidence: 99%