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Subtitles heuristics
Polanka, Martin ; Děcký, Martin (advisor) ; Peška, Ladislav (referee)
Original idea on this project comes from Khanova škola. This group of people is translating educational videos from Khan Academy and they would like to have an automatic tool, which will check their created subtitles. Character of this check relates with format of subtitles in general (time of beginning, ending, etc.) and also with Czech language and textual form of language. Within the scope of this thesis was developed software, which loads subtitles in SubRip format, on this loaded file analysis is executed and results are returned in XML or JSON format. Whole application is modular and has one main component (control program) and then several modules (plugins). These modules have one area of functioning, in which they execute analysis on subtitle objects. Plugins itself are realised by dynamic libraries, which are dynamicaly loaded on run-time. Thanks to that, application is simply extensible and new plugins can be added without necessity of re-compiling control program. Powered by TCPDF (www.tcpdf.org)
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Recommender systems - models, methods, experiments
Peška, Ladislav ; Vojtáš, Peter (advisor) ; Jannach, Dietmar (referee) ; Krátký, Michal (referee)
This thesis investigates the area of preference learning and recommender systems. We concentrated recommending on small e-commerce vendors and efficient usage of implicit feedback. In contrast to the most published studies, we focused on investigating multiple diverse implicit indicators of user preference and substantial part of the thesis aims on defining implicit feedback, models of its combination and aggregation and also algorithms employing them in preference learning and recommending tasks. Furthermore, a part of the thesis focuses on other challenges of deploying recommender systems on small e-commerce vendors such as which recommending algorithms should be used or how to employ third party data in order to improve recommendations. The proposed models, methods and algorithms were evaluated in both off-line and on-line experiments on real world datasets and on real e-commerce vendors respectively. Datasets are included to the thesis for the sake of validation and further research. Powered by TCPDF (www.tcpdf.org)
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Content based Recommendation from Explicit Ratings
Ferenc, Matej ; Vojtáš, Peter (advisor) ; Peška, Ladislav (referee)
In the thesis we compare several models for prediction of user preferences. The focus is mainly on Content Based models which work with metadata about objects that are recommended. These models are compared with other models which do not use metadata for recommendation. We use three datasets and three metrics to get the results of recommendation. The goal of the thesis is to find out how can the metadata about the users and the objects enhance the standard recommender models. However, the result is that the metadata can enhance recommendation in some cases, but it varies by used metrics and dataset. This enhancement is not significant.
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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)
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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.
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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.
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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)
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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.
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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.
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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.
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