Digitala Vetenskapliga Arkivet

Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Facebook Blocket with Unsupervised Learning
Blekinge Tekniska Högskola, Fakulteten för teknikvetenskaper, Institutionen för tillämpad signalbehandling.
Blekinge Tekniska Högskola, Fakulteten för teknikvetenskaper, Institutionen för tillämpad signalbehandling.
2014 (Engelska)Självständigt arbete på grundnivå (kandidatexamen)Studentuppsats (Examensarbete)
Abstract [en]

The Internet has become a valuable channel for both business-to- consumer and business-to-business e-commerce. It has changed the way for many companies to manage the business. Every day, more and more companies are making their presence on Internet. Web sites are launched for online shopping as web shops or on-line stores are a popular means of goods distribution. The number of items sold through the internet has sprung up significantly in the past few years. Moreover, it has become a choice for customers to do shopping at their ease. Thus, the aim of this thesis is to design and implement a consumer to consumer application for Facebook, which is one of the largest social networking website. The application allows Facebook users to use their regular profile (on Facebook) to buy and sell goods or services through Facebook. As we already mentioned, there are many web shops such as eBay, Amazon, and applications like blocket on Facebook. However, none of them is directly interacting with the Facebook users, and all of them are using their own platform. Users may use the web shop link from their Facebook profile and will be redirected to web shop. On the other hand, most of the applications in Facebook use notification method to introduce themselves or they push their application on the Facebook pages. This application provides an opportunity to Facebook users to interact directly with other users and use the Facebook platform as a selling/buying point. The application is developed by using a modular approach. Initially a Python web framework, i.e., Django is used and association rule learning is applied for the classification of users’ advertisments. Apriori algorithm generates the rules, which are stored as separate text file. The rule file is further used to classify advertisements and is updated regularly.

Ort, förlag, år, upplaga, sidor
2014. , s. 93
Nyckelord [en]
Web Development, Machine Learning , E-Commerce
Nationell ämneskategori
Systemvetenskap, informationssystem och informatik Datavetenskap (datalogi) Elektroteknik och elektronik
Identifikatorer
URN: urn:nbn:se:bth-1969Lokalt ID: oai:bth.se:arkivexE0252B0E3CCAB4B2C1257C78004CC7E5OAI: oai:DiVA.org:bth-1969DiVA, id: diva2:829228
Uppsök
teknik
Handledare
Tillgänglig från: 2015-04-22 Skapad: 2014-02-07 Senast uppdaterad: 2018-01-11Bibliografiskt granskad

Open Access i DiVA

fulltext(598 kB)4799 nedladdningar
Filinformation
Filnamn FULLTEXT01.pdfFilstorlek 598 kBChecksumma SHA-512
458b391e3313578abda8b641d3a3caa6bbb28784b3424270f003382d41b48fba1d9fe784891f8966c96206716a278073717b885d563c81760076714ba3ff7290
Typ fulltextMimetyp application/pdf

Av organisationen
Institutionen för tillämpad signalbehandling
Systemvetenskap, informationssystem och informatikDatavetenskap (datalogi)Elektroteknik och elektronik

Sök vidare utanför DiVA

GoogleGoogle Scholar
Totalt: 4854 nedladdningar
Antalet nedladdningar är summan av nedladdningar för alla fulltexter. Det kan inkludera t.ex tidigare versioner som nu inte längre är tillgängliga.

urn-nbn

Altmetricpoäng

urn-nbn
Totalt: 1206 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf