diplomsko delo visokošolskega strokovnega študija Organizacija in management delovnih procesov
Martina Lebar (Author), Robert Leskovar (Mentor), Zvone Balantič (Co-mentor)

Abstract

V diplomski nalogi sta predstavljena zasnova in razvoj vertikalnega spletnega iskalnika Zaposlim.se za potrebe iskanja aktualnih zaposlitvenih oglasov po slovenskih spletnih straneh. Podana je kratka analiza razmer na trgu dela, opisani pa so tudi najpomembnejši slovenski iskalniki. Razložena je razlika med splošnimi in vertikalnimi iskalniki in specificirane zahtevane značilnosti vertikalnega iskalnika. Prvotno je bilo predvidenih šest spletnih strani, ki vsak dan objavljajo prosta delovna mesta. Naloge, ki so bile opravljene v sklopu razvoja, so bile: razvoj spletnih pajkov, razvoj iskalnika, avtomatizacija procesov, oblikovanje iskalnika, programiranje uporabniškega vmesnika in testiranje. Pri projektu so sodelovali trije programerji, ocenjeni napor pa je 4,5 človeka na mesec. Glavni tehnični težavi sta bili: a) replikacija baze MongoDB na virtualnem strežniku in b) indeksiranje strani Ajax zaposlitvenega portala Zaposlim.se. Prvo težavo smo odpravili z zamenjavo baze podatkov (MySQL), drugo pa s pretvorbo strani Ajax v obliko URL, ki je prijazna do iskalnikov. Analiza obiska vertikalnega iskalnika Zaposlim.se je pokazala, da ga na dan obišče okrog 1000 obiskovalcev, število pa se še povečuje. Razmišljamo tudi o nadaljnjem razvoju iskalnika v prihodnosti, in sicer s širitvijo na tuje trge. Na začetku se bomo najprej usmerili na hrvaški in avstrijski trg, na katerih je na podlagi opravljenih raziskav naš največji potencial. Razvoj iskalnika in orodja za iskanje zaposlitvenih oglasov se bo razvijal hkrati s širitvijo na tuje trge, v prvi fazi pa bo obsegal možnost dodajanja novih zaposlitvenih oglasov na iskalnik.

Keywords

Zaposlim.se;vertikalni spletni iskalnik;Python;

Data

Language: Slovenian
Year of publishing:
Typology: 2.11 - Undergraduate Thesis
Organization: UM FOV - Faculty of Organizational Sciences
Publisher: [M. Lebar]
UDC: 004
COBISS: 7277843 Link will open in a new window
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Downloads: 88
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Other data

Secondary language: English
Secondary title: DEVELOPMENT OF VERTICAL SEARCH ENGINE ZAPOSLIM.SE
Secondary abstract: This thesis explores the design and development of a vertical search engine called Zaposlim.se for searching all currently available online job offers in Slovenia. An analysis of the current labor market situation was conducted, and a review of Slovenian job offering web sites and technical project planning implementation were performed. Furthermore, the differences between search engines and specialized vertical search engines are explained and requirements specification for vertical search engine are elaborated. Initially, we aimed to include six web pages publishing online jobs on a daily basis. The following tasks were completed during development: development of web crawlers, search engine development, process automation, search engine design, user interface development and testing. There were three programmers involved in development, with an estimated total effort of 4,5 man-months. The two main technical issues encountered during development were: a) replication of MongoDB database on a virtual server, and b) indexing AJAX pages on Zaposlim.se web page. The first issue was resolved by changing the database (MySQL), and the second by converting AJAX pages into a friendly URL format on server side providing these pages. Analytics for Zaposlim.se page visit revealed around 1000 page visits per day and a rising trend. We are also considering further development of vertical search engine to enter foreign markets. At the beginning our main focus will be Croatian and Austrian market. As our research showed, these two markets have the highest potential. Furthermore we will also work on search engine development and try to improve it for our users. Our first major improvement will be possibility of posting job adverts directly on search engine.
Secondary keywords: Zaposlim.se;- vertical search engine;Python;Django;Scrapy;Ajax;
URN: URN:SI:UM:
Type (COBISS): Undergraduate thesis
Thesis comment: Univ. v Mariboru, Fak. za organizacijske vede
Pages: 41 f.
ID: 8728706
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