|
|
6 who loses! game - AI server
Hruška, Michal ; Holan, Tomáš (advisor) ; Peška, Ladislav (referee)
This bachelor thesis deals with the implementation of a web server for playing the card game 6 who loses! The game can be played against other people over the internet or against a computer. Part of the thesis is also the design of a language for the creation of an artificial intelligence. Using the designed language, everybody can create their own algorithm. The algorithm can be used in the game or tested by a simulation, which is part of the implementation. The server includes an artificial intelligence created in this language by using the evolutionary algorithm. Powered by TCPDF (www.tcpdf.org)
|
|
|
Ontology Management and Visualisation
Fischer, René ; Kopecký, Michal (advisor) ; Peška, Ladislav (referee)
Modern information technologies are unstoppably advancing and their development is inseparably linked with the development of the Internet. The amount of data and information published and available on the Internet is growing in units of Exabyte every year. Using so-called semantic tags added to documents, the Semantic Web movement aims to help machines, and eventually man, to benefit from the information contained in those (not only) on the Internet stored data. Elements marked with a semantic tag is given a machine- recognizable information. The importance of it lies in the positions and relationships of the tag to other tags within some set of (dictionary) of such tags. Ontologies are sets or dictionaries of such marks that capture specific knowledge of certain areas of life, technology or problems. The theoretical part of this work aims to explore the history and the development of knowledge representation, the development of ontologies and ontological engineering and semantic web technologies. In the practical part we analyze the SNOMED CT ontology, what is a large actually used ontology. We also design a tool that should help to enhance and simplify the development of ontologies. In the last, a plan is to implement a part of the designed tool.
|
|
|
Content-based recommender systems
Michalko, Maria ; Peška, Ladislav (advisor) ; Vojtáš, Peter (referee)
This work deals with the issue of poviding recommendations for individual users of e-shop based on the obtained user preferences. The work includes an overview of existing recommender systems, their methods of getting user preferences, the methods of using objects' content and recommender algorithms. An integral part of this work is design and implementated for independent software component for Content-based recommendation. Component is able to receive various user preferences and various forms of object's input data. The component also contains various processing methods for implicit feedback and various methods for making recommendations. Component is written in the Java programming language and uses a PostgreSQL database. The thesis also includes experiments that was carried out with usage of component designed on datasets slantour.cz and antikvariat-ichtys.cz e-shops.
|
|
|
Using customer preferences in property market
Strnad, Radek ; Kopecký, Michal (advisor) ; Peška, Ladislav (referee)
In recent years the market share of major real estate companies, at least the Czech ones, has not changed much. Statistical data don't reflect any significal upward trend in volumes of properties for rent or sale. In case the real estate company would like to access larger market share, they have to secure a competitive advantage over the others. One of the ways how to attract more potential customers might be speeding up the company website's property search process. In many cases the website visitors are facing hundreds or thousands of property offers before finding couple satisfactories. The aim of the thesis is to explore possibilities of applicating customer preferences in property trading. The focus is put on research of recommender system algorithms, their characteristics and limtations. The author is evaluating usage of each algorithm variant and its suitability for a real world deployment in a real estate area. Apart from the theoretical part of the work one can find a part, where real estate information system is extended with a framework for implementing recommendation system algorithms. The author is in possesion of production data of a medium sized real estate company. He uses the recommender system framework to build and evaluate example algorithm. Powered by TCPDF (www.tcpdf.org)
|
|
|
Ontology Management and Visualisation
Fischer, René ; Kopecký, Michal (advisor) ; Peška, Ladislav (referee)
Modern information technologies are unstoppably advancing and their development is inseparably linked with the development of the Internet. The amount of data and information published and available on the Internet is growing in units of Exabyte every year. Using so-called semantic tags added to documents, the Semantic Web movement aims to help machines, and eventually man, to benefit from the information contained in those (not only) on the Internet stored data. Elements marked with a semantic tag is given a machine- recognizable information. The importance of it lies in the positions and relationships of the tag to other tags within some set of (dictionary) of such tags. Ontologies are sets or dictionaries of such marks that capture specific knowledge of certain areas of life, technology or problems. The theoretical part of this work aims to explore the history and the development of knowledge representation, the development of ontologies and ontological engineering and semantic web technologies. In the practical part we analyze the SNOMED CT ontology, what is a large actually used ontology. We also design a tool that should help to enhance and simplify the development of ontologies. In the last, a plan is to implement a part of the designed tool.
|
|
|
User preferences in the domain of web shops
Peška, Ladislav ; Vojtáš, Peter (advisor) ; Eckhardt, Alan (referee)
The goal of the thesis is first to find available information about user preferences, user feedback and their acquisition, processing, storing etc. The collected information is then used for making suggestions / advices for the creating an recommender system for the web shops (with special emphasis on implicit feedback). The following chapters introduces UPComp - our solution of the recommender system for the web shops. The UPComp is written in the programming language PHP and uses MySQL database. The thesis also includes testing of the UPComp on real-user web shop sites slantour.cz and antikvariat-ichtys.cz.
|
|
|
Reservation and inrormation system for travel agency
Peška, Ladislav ; Skopal, Tomáš (referee) ; Forst, Libor (advisor)
The goal of this project is to create Reservation System for small or medium-sized travel agency. Essential is a support for On-line tour's reservation, management of capacities of the tours and also support for search engine optimization. Application is divided into two parts. The internal part allows travel agency employers to manage tours, clients, reservations etc. The part for travel agency clients allows them to search for tours, make reservations and check the state of their reservations. The application is written in PHP programming language and using MySQL database server.
|
|
|
ITAT 2014. Information Technologies - Applications and Theory. Part II
Kůrková, Věra ; Bajer, Lukáš ; Peška, L. ; Vojtáš, P. ; Holeňa, Martin ; Nehéz, M.
ITAT 2014. Information Technologies - Applications and Theory. Part II. Prague : Institute of Computer Science AS CR, 2014. 145 p. ISBN 978-80-87136-19-5. This volume is the second part of the two-volume proceedings of the 14th conference Information Technologies – Applications and Theory (ITAT 2014), which was held in Jasná, Demänovská Dolina, Slovakia, on September 25–29, 2014. ITAT is a computer science conference with the primary goal of exchanging information on recent research results. Overall, 51 papers were submitted to all conference tracks. This volume presents papers from the workshops and an extended abstract of a poster. Three specialized workshops were held as a part of the conference: Data Mining and Preference Learning on Web, Computational Intelligence and Data Mining, and Algorithmic Aspects of Complex Networks Analysis.
|
|
| |
|
| |
guest ::
RSS feed.