Sökning: "flight tickets"
Visar resultat 1 - 5 av 16 uppsatser innehållade orden flight tickets.
1. Understand me, do you? : An experiment exploring the natural language understanding of two open source chatbots
M1-uppsats, Blekinge Tekniska Högskola/Institutionen för programvaruteknikSammanfattning : What do you think of when you hear the word chatbot? A helpful assistant when booking flight tickets? Maybe a frustrating encounter with a company’s customer support, or smart technologies that will eventually take over your job? The field of chatbots is under constant development and bots are more and more taking a place in our everyday life, but how well do they really understand us humans? The objective of this thesis is to investigate how capable two open source chatbots are in understanding human language when given input containing spelling errors, synonyms or faulty syntax. The study will further investigate if the bots get better at identifying what the user’s intention is when supplied with more training data to base their analysis on. LÄS MER
2. Prediktion av optimal tidpunkt för köp av flygbiljetter med hjälp av maskininlärning
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The work presented in this study is based on the desire of cutting consumer costs related to purchase of airfare tickets. In detail, the study has investigated whether it is possible to classify optimal purchase decisions for specific flight routes with high accuracy using machine learning models trained with basic data containing only price and search date for a given date of departure. LÄS MER
3. Switzerland: railway or aviation nation? Emission saving potential from replacing air by train travel between Switzerland and Europe and the possibilities for the Swiss government to foster this mode shift.
Master-uppsats, Lunds universitet/LUCSUSSammanfattning : Even though flying is the most unsustainable mode of transport due to its high contribution to global climate change (global warming), it is widely used and is predicted to increase considerably in the future. This goes against the global goal to reduce greenhouse gas (GHG) emission in order to reach the two-degree target set in the Paris Agreement. LÄS MER
4. Binary classification for predicting propensity to buy flight tickets. : A study on whether binary classification can be used to predict Scandinavian Airlines customers’ propensity to buy a flight ticket within the next seven days.
Master-uppsats, Umeå universitet/Institutionen för matematik och matematisk statistikSammanfattning : A customers propensity to buy a certain product is a widely researched field and is applied in multiple industries. In this thesis it is showed that using binary classification on data from Scandinavian Airlines can predict their customers propensity to book a flight within the next coming seven days. LÄS MER
5. Predicting low airfares with time series features and a decision tree algorithm
Kandidat-uppsats, Uppsala universitet/Statistiska institutionenSammanfattning : Airlines try to maximize revenue by letting prices of tickets vary over time. This fluctuation contains patterns that can be exploited to predict price lows. In this study, we create an algorithm that daily decides whether to buy a certain ticket or wait for the price to go down. LÄS MER
