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Scientific Portal Personalization
Čáslavský, Josef ; Otrusina, Lubomír (referee) ; Smrž, Pavel (advisor)
This paper describes personalization of web applications and options of usage for scientific web portals. Theoretical part introduces main personalization principles and methods. Practical part of this paper focuses on resulting application. The application provides personalized services based on created user profile such as personalized search, content recommendation and conference planner.
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Recommendations as everyday practice of each of us
Matoušová, Barbora ; Osuský, Michal (advisor) ; Gorčíková, Magdaléna (referee)
This thesis deals with recommendation as the omnipresent phenomenon, especially its mechanism of functioning. Recommendation is a common part of communication of each of us. It contains a conversation on any topic with friends or acquaintances that have certain experience with given topic and on the ground of this experience they intentionally provide negative or positive reference for the product, service or event discussed. It is not rare that the essence of recommendation is used for marketing and commercial purposes as for example various advertisements, websites or specific mobile applications. Recommendation is a specific form of social communication and we can look at it from more points of view. It is usual to divide communication situation using traditional models to participants, content, form, intentions and effects. These general findings are in this thesis connected with particular parts of life as entertainment, services, basic things and products of daily consumption, extra products and social relationships. As emerged from the analysis of the interviews, key concept of recommendation mechanism is trust. It plays an important role in all parts of recommendation structure. Finally, the results from the analysis are compared with findings from expert literature and previous researches.
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User preference visualization for music
Gajdušek, Pavel ; Peška, Ladislav (advisor) ; Škoda, Petr (referee)
Most of the music portals offer users lists of songs that are the result of black-box algorithms. The recommendation is often nontransparent for users, therefore the irrele- vant recommendation might have negative consequences. The recommendation is mainly based on the computation of similarities between users or objects. The computation relies on collaborative techniques or similarity of the contents of the objects. The purpose of this bachelor thesis is to design and implement suitable visualization of these relations in the form of an interactive graph for a certain Spotify user. The visualization should help users realize that their data have inner structures and the recommendations are based on them. The final application should also provide a music playback using the songs contained in the graph. 1
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Recommendations as everyday practice of each of us
Matoušová, Barbora ; Osuský, Michal (advisor) ; Gorčíková, Magdaléna (referee)
This thesis deals with recommendation as the omnipresent phenomenon, especially its mechanism of functioning. Recommendation is a common part of communication of each of us. It contains a conversation on any topic with friends or acquaintances that have certain experience with given topic and on the ground of this experience they intentionally provide negative or positive reference for the product, service or event discussed. It is not rare that the essence of recommendation is used for marketing and commercial purposes as for example various advertisements, websites or specific mobile applications. Recommendation is a specific form of social communication and we can look at it from more points of view. It is usual to divide communication situation using traditional models to participants, content, form, intentions and effects. These general findings are in this thesis connected with particular parts of life as entertainment, services, basic things and products of daily consumption, extra products and social relationships. As emerged from the analysis of the interviews, key concept of recommendation mechanism is trust. It plays an important role in all parts of recommendation structure. Finally, the results from the analysis are compared with findings from expert literature and previous researches.
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Scientific Portal Personalization
Čáslavský, Josef ; Otrusina, Lubomír (referee) ; Smrž, Pavel (advisor)
This paper describes personalization of web applications and options of usage for scientific web portals. Theoretical part introduces main personalization principles and methods. Practical part of this paper focuses on resulting application. The application provides personalized services based on created user profile such as personalized search, content recommendation and conference planner.
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