Recommender System for Real Estate Management | Zendy

Tomas Ginevičius | Zendy; Artūras Kaklauskas | Zendy; Paulius Kazokaitis | Zendy; Jurgita Alchimovienė | Zendy

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Recommender System for Real Estate Management

Author(s) -

Tomas Ginevičius,

Artūras Kaklauskas,

Paulius Kazokaitis,

Jurgita Alchimovienė

Publication year - 2011

Publication title -

verslas teorija ir praktika

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.369

H-Index - 17

eISSN - 1822-4202

pISSN - 1648-0627

DOI - 10.3846/btp.2011.26

Subject(s) - real estate , recommender system , computer science , property management , estate , database , data science , knowledge management , world wide web , business , finance

The analysis of information, the expert and decision support systems used in real estate management that were developed by researchers from various countries assisted the authors in creating their own Recommender System for Real Estate Management (RSREM). The database of real estate management was developed providing a comprehensive assessment of alternative versions from the economic, technical, technological, infrastructure, qualitative, technological, legislative and other perspectives. Based on the above complex databases, the developed Recommender System for Real Estate Management enables the user to analyse alternatives quantitatively (i.e. a system and subsystems of criteria, units of measure, values and weights) and conceptually (i.e. the text, formula, schemes, graphs, diagrams and videotapes) and provides recommendations

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