Sökning: "mean reciprocal rank"

Hittade 5 uppsatser innehållade orden mean reciprocal rank.

1. 1. Shoppin’ in the Rain : An Evaluation of the Usefulness of Weather-Based Features for an ML Ranking Model in the Setting of Children’s Clothing Online Retailing

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Isac Lorentz; [2023]
   Nyckelord :Statistical analysis; regression analysis; recommender systems; ensemble learning; electronic commerce; LightGBM; learning to rank; feature selection; weather-based features; fashion; Statistisk analys; regressionsanalys; rekommendationssystem; ensemble-inlärning; näthandel; LightGBM; learning to rank; variabelselektion; väderbaserade variabler; mode;

   Sammanfattning : Online shopping offers numerous benefits, but large product catalogs make it difficult for shoppers to understand the existence and characteristics of every item for sale. To simplify the decision-making process, online retailers use ranking models to recommend products relevant to each individual user. LÄS MER

3. 2. Graph Neural Networks for Article Recommendation based on Implicit User Feedback and Content

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Márk Bereczki; [2021]
   Nyckelord :Recommender systems; Implicit recommendation; Graph neural networks; Simple Graph Convolution; Natural language processing; Rekommendationssystem; Implicit rekommendation; Grafneurala nätverk; Simple Graph Convolution; Naturlig språkbehandling;

   Sammanfattning : Recommender systems are widely used in websites and applications to help users find relevant content based on their interests. Graph neural networks achieved state- of-the- art results in the field of recommender systems, working on data represented in the form of a graph. LÄS MER

4. 3. Weight Estimation and Evaluation of User Suggestions in Mobile Browsing

   Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

   Författare :Oscar Johansson; [2019]
   Nyckelord :;

   Sammanfattning : This study investigates the suggestion system of a mobile browser. The goal of a suggestion system is to assist the user by presenting relevant suggestions in an ordered list. By weighting the different types of suggestions presented to the user, such as history, bookmarks etc. LÄS MER

5. 4. Tuning of machine learning algorithms for automatic bug assignment

   Master-uppsats, Linköpings universitet/Programvara och system

   Författare :Daniel Artchounin; [2017]
   Nyckelord :bug triage; bug assignment; bug mining; bug report; activity-based approach; issue tracking; bug repository; bug tracker; pre-processing; feature extraction; feature selection; tuning; model selection; hyper-parameter optimization; text mining; text classification; classifier; supervised learning; machine learning; information retrieval; bugzilla; eclipse jdt; mozilla firefox; open source software; proprietary project; accuracy; mean reciprocal rank; software development; software maintenance; software engineering;

   Sammanfattning : In software development projects, bug triage consists mainly of assigning bug reports to software developers or teams (depending on the project). The partial or total automation of this task would have a positive economic impact on many software projects. LÄS MER

7. 5. Att sjunga en fråga. En jämförelse av tre Query-by-Humming-system och deras användare.

   Kandidat-uppsats, Högskolan i Borås/Institutionen Biblioteks- och informationsvetenskap / Bibliotekshögskolan

   Författare :Madeleine Eriksson; [2012]
   Nyckelord :Query-by-Humming; Music Information Retrieval; Informationsåtervinning; Innehållsbaserad informationsåtervinning; Återvinnginseffektivitet;

   Sammanfattning : The aim of this study was to compare the Query-by-Humming systems Midomi, Musicline and Tunebot regarding their retrieval effectiveness. The aim was to see if there were differences between the systems but also between the user groups common users, musicians and singers. LÄS MER