Sökning: "Semantisk matchning"
Hittade 5 uppsatser innehållade orden Semantisk matchning.
1. Learning Style Compatibility on Fashion Data
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Fashion Recommendation can be defined as a set of systems that tries to predict and retrieve a curated and often ranked selection of fashion items based on the preference of one or more target consumers. Traditional systems relied on providing substitute recommendations, meaning that they were centered around finding similarities between fashion items. LÄS MER
2. Knowledge Base Augmentation from Spreadsheet Data : Combining layout inference with multimodal candidate classification
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Spreadsheets compose a valuable and notably large dataset of documents within many enterprise organizations and on the Web. Although spreadsheets are intuitive to use and equipped with powerful functionalities, extraction and transformation of the data remain a cumbersome and mostly manual task. LÄS MER
3. Automatiserad matchning vid rekrytering
M1-uppsats, KTH/Hälsoinformatik och logistikSammanfattning : För små företag utan rekryteringsansvarig person kan det var svårt att hitta rätt personal. Brist på sådana resurser är en påfrestning som leder till stress och mindre lyckade rekryteringar. LÄS MER
4. Matching Performance Metrics with Potential Candidates : A computer automated solution to recruiting
Kandidat-uppsats, KTH/Skolan för informations- och kommunikationsteknik (ICT)Sammanfattning : Selecting the right candidate for a job can be a challenge. Moreover, there are significant costs associated with recruiting new talent. Thus there is a requirement for precision, accuracy, and neutrality from an organization when hiring a new employee. LÄS MER
5. Cutting the Sentiment
Master-uppsats, KTH/Skolan för datavetenskap och kommunikation (CSC)Sammanfattning : In this thesis we have adapted a graph method used by Pang and Lee tonot use any machine learning, in order to use it for near real time sentimentanalysis. The machine learning step has been replaced with a novel approach toconstruct one positive document and one negative document respectively. LÄS MER