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<p>”<strong>HEJO MAIL – HTML och CSS för email</strong>” handlar precis som titeln antyder om användandet av HTML och CSS för att utforma e-postmeddelanden och är en undersökning över vilka standarder som finns eller åtminstone borde finnas. Viktiga fraser vid informationssökningen har varit ”Html Email”, ”Email Standards” och ”Email Programming”. Resultatet är tänkt att appliceras på HEJO MAIL, som är en applikation för utskick av nyhets- och informationsbrev som idag inte fungerar fullt ut.</p><p>Resultatet är något förvånande då standarder specifikt för email saknas och har ersatts med rekommendationer, resultatet innefattar en sammanställning av rekommendationer från tre olika källor som valts ut. Dessa rekommendationer har även testats för att verifiera att det faktiskt fungerar med hjälp av 11 stycken testmail. Diskussionen innehåller ett förslag på en praktisk lösning med modultänk för HEJO MAIL samt ett försök att sammanfatta arbetet och återknyta till frågeställningarna.</p> / <p>"<strong>HEJO MAIL - HTML and CSS for email</strong>" is like the title suggests a thesis about the use of HTML and CSS to design electronic mail and what standards there are to be applied, or at least should be. Key phrases in the search for information have been "HTML Email", "Email Standards" and "Email Programming". The results are intended to be applied on HEJO MAIL, which is an application for sending news and information letters via email that is not working properly.</p><p>The result is somewhat surprising since standards specific for email do not exist and have been replaced with general recommendations, the result consists of a compilation of recommendations from three different sources that have been selected. These recommendations have also been tested to verify that they are actually functioning by the creation of 11 emails for testing. The discussion part of the thesis includes a suggestion of a practical solution with modular structure for HEJO MAIL and an attempt to summarize the work and the questions of issue.</p>

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With the ever increasing popularity of emails, it is very common nowadays that people discuss specific issues, events or tasks among a group of people by emails. Those discussions can be viewed as conversations via emails and are valuable for the user as a personal information repository. For instance, in 10 minutes before a meeting, a user may want to quickly go through a previous discussion via emails that is going to be discussed in the meeting soon. In this case, rather than reading each individual email one by one, it is preferable to read a concise summary of the previous discussion with major information summarized. In this thesis, we study the problem of discovering and summarizing email conversations. We believe that our work can greatly support users with their email folders. However, the characteristics of email conversations, e.g., lack of synchronization, conversational structure and informal writing style, make this task particularly challenging. In this thesis, we tackle this task by considering the following aspects: discovering emails in one conversation, capturing the conversation structure and summarizing the email conversation. We first study how to discover all emails belonging to one conversation. Specifically, we study the hidden email problem, which is important for email summarization and other applications but has not been studied before. We propose a framework to discover and regenerate hidden emails. The empirical evaluation shows that this framework is accurate and scalable to large folders. Second, we build a fragment quotation graph to capture email conversations. The hidden emails belonging to each conversation are also included into the corresponding graph. Based on the quotation graph, we develop a novel email conversation summarizer, ClueWordSummarizer. The comparison with a state-of-the-art email summarizer as well as with a popular multi-document summarizer shows that ClueWordSummarizer obtains a higher accuracy in most cases. Furthermore, to address the characteristics of email conversations, we study several ways to improve the ClueWordSummarizer by considering more lexical features. The experiments show that many of those improvements can significantly increase the accuracy especially the subjective words and phrases.

With the ever increasing popularity of emails, it is very common nowadays that people discuss specific issues, events or tasks among a group of people by emails. Those discussions can be viewed as conversations via emails and are valuable for the user as a personal information repository. For instance, in 10 minutes before a meeting, a user may want to quickly go through a previous discussion via emails that is going to be discussed in the meeting soon. In this case, rather than reading each individual email one by one, it is preferable to read a concise summary of the previous discussion with major information summarized. In this thesis, we study the problem of discovering and summarizing email conversations. We believe that our work can greatly support users with their email folders. However, the characteristics of email conversations, e.g., lack of synchronization, conversational structure and informal writing style, make this task particularly challenging. In this thesis, we tackle this task by considering the following aspects: discovering emails in one conversation, capturing the conversation structure and summarizing the email conversation. We first study how to discover all emails belonging to one conversation. Specifically, we study the hidden email problem, which is important for email summarization and other applications but has not been studied before. We propose a framework to discover and regenerate hidden emails. The empirical evaluation shows that this framework is accurate and scalable to large folders. Second, we build a fragment quotation graph to capture email conversations. The hidden emails belonging to each conversation are also included into the corresponding graph. Based on the quotation graph, we develop a novel email conversation summarizer, ClueWordSummarizer. The comparison with a state-of-the-art email summarizer as well as with a popular multi-document summarizer shows that ClueWordSummarizer obtains a higher accuracy in most cases. Furthermore, to address the characteristics of email conversations, we study several ways to improve the ClueWordSummarizer by considering more lexical features. The experiments show that many of those improvements can significantly increase the accuracy especially the subjective words and phrases.

”HEJO MAIL – HTML och CSS för email” handlar precis som titeln antyder om användandet av HTML och CSS för att utforma e-postmeddelanden och är en undersökning över vilka standarder som finns eller åtminstone borde finnas. Viktiga fraser vid informationssökningen har varit ”Html Email”, ”Email Standards” och ”Email Programming”. Resultatet är tänkt att appliceras på HEJO MAIL, som är en applikation för utskick av nyhets- och informationsbrev som idag inte fungerar fullt ut. Resultatet är något förvånande då standarder specifikt för email saknas och har ersatts med rekommendationer, resultatet innefattar en sammanställning av rekommendationer från tre olika källor som valts ut. Dessa rekommendationer har även testats för att verifiera att det faktiskt fungerar med hjälp av 11 stycken testmail. Diskussionen innehåller ett förslag på en praktisk lösning med modultänk för HEJO MAIL samt ett försök att sammanfatta arbetet och återknyta till frågeställningarna. / "HEJO MAIL - HTML and CSS for email" is like the title suggests a thesis about the use of HTML and CSS to design electronic mail and what standards there are to be applied, or at least should be. Key phrases in the search for information have been "HTML Email", "Email Standards" and "Email Programming". The results are intended to be applied on HEJO MAIL, which is an application for sending news and information letters via email that is not working properly. The result is somewhat surprising since standards specific for email do not exist and have been replaced with general recommendations, the result consists of a compilation of recommendations from three different sources that have been selected. These recommendations have also been tested to verify that they are actually functioning by the creation of 11 emails for testing. The discussion part of the thesis includes a suggestion of a practical solution with modular structure for HEJO MAIL and an attempt to summarize the work and the questions of issue.

With the ever increasing popularity of emails, it is very common nowadays that people discuss specific issues, events or tasks among a group of people by emails. Those discussions can be viewed as conversations via emails and are valuable for the user as a personal information repository. For instance, in 10 minutes before a meeting, a user may want to quickly go through a previous discussion via emails that is going to be discussed in the meeting soon. In this case, rather than reading each individual email one by one, it is preferable to read a concise summary of the previous discussion with major information summarized. In this thesis, we study the problem of discovering and summarizing email conversations. We believe that our work can greatly support users with their email folders. However, the characteristics of email conversations, e.g., lack of synchronization, conversational structure and informal writing style, make this task particularly challenging. In this thesis, we tackle this task by considering the following aspects: discovering emails in one conversation, capturing the conversation structure and summarizing the email conversation. We first study how to discover all emails belonging to one conversation. Specifically, we study the hidden email problem, which is important for email summarization and other applications but has not been studied before. We propose a framework to discover and regenerate hidden emails. The empirical evaluation shows that this framework is accurate and scalable to large folders. Second, we build a fragment quotation graph to capture email conversations. The hidden emails belonging to each conversation are also included into the corresponding graph. Based on the quotation graph, we develop a novel email conversation summarizer, ClueWordSummarizer. The comparison with a state-of-the-art email summarizer as well as with a popular multi-document summarizer shows that ClueWordSummarizer obtains a higher accuracy in most cases. Furthermore, to address the characteristics of email conversations, we study several ways to improve the ClueWordSummarizer by considering more lexical features. The experiments show that many of those improvements can significantly increase the accuracy especially the subjective words and phrases. / Science, Faculty of / Computer Science, Department of / Graduate

Diplomová práce se zabývá komunikací a kvalitou a hledá mezi nimi průnik. Cílem je odpovědět na otázku, co je to kvalita komunikace, jak ji měřit a jak ji dosáhnout. Východisky jsou současné trendy obou oborů a dosažený teoretický výsledek je v druhé části práce aplikován na konkrétní situaci v podniku. Tématem, který práce řeší jsou přeplněné emailové schránky zaměstnanců firmy. Zde je úkolem podrobněji analyzovat současnou situaci pomocí výzkumu a na jeho základě s ohledem na teoretickou úvahu definovat požadavky na kvalitu komunikace ? nyní již v konkrétní podobě. Výstupem je pak návrh řešení jak situaci řešit a to pomocí implementace jiného komunikačního nástroje, který bude nejlépe vyhovovat vzneseným požadavkům.

Submitted to the faculty of the School of Informatics in partial fulfillment of the requirements for the degree Master of Sciences in the School of Informatics,Indiana University May 2005 / An email overload problem occurs when users try to utilize email service in a way it was not designed for. Moreover, many web-based email services provide large email storage space and users tend to keep more unused emails. Issues that cause email overload are 1) Keeping too many emails, 2) Using email for conversational threads, and 3) Using email as a task management tool. Forty-five participants were selected to participate in user study sessions including questionnaire, time-on-task study, and interview. Participants were divided into three groups of 15. Participants in the first group were assigned as Gmail users. Participants in the second group were assigned as Yahoo! Mail users. After finishing user study sessions for the first two groups, the results were analyzed and the new web-based email prototype was designed as a suggestion of how the web-based email could be developed to handle the email overload problem. Then users in the third group tested the new prototype in the same manner the research was conducted with the first two groups of users. Users in the third group were satisfied with the features and design of the new prototype. The design of the new prototype focused on solutions that are able to handle email overload problem which are 1) Email categorizing, 2) Email thread grouping, 3) Email searching, and 4) Email task management. This study illustrates how the web-based email can be designed with features to handle email overload problems while maintaining the interface usable to most users.