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- 620 creator cormac-herley.
- 620 creator dinei-florencio.
- 620 type InProceedings.
- 620 label "A Large-Scale Study of Web Password Habits".
- 620 sameAs 620.
- 620 abstract "We report the results of a large scale study of password use and password re-use habits. The study involved half a million users over a three month period. A client component on users' machines recorded a variety of password strength, usage and frequency metrics. This allows us to measure or estimate such quantities as the average number of passwords and average number of accounts each user has, how many passwords she types per day, how often passwords are shared among sites, and how often they are forgotten. We get extremely detailed data on password strength, the types and lengths of passwords chosen, and how they vary by site. The data is the first large scale study of its kind, and yields numerous other insights into the role the passwords play in users' online experience.".
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- 620 title "A Large-Scale Study of Web Password Habits".
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- 626 creator ji-rong-wen.
- 626 creator shuming-shi.
- 626 creator wei-ying-ma.
- 626 creator yunxiao-ma.
- 626 creator zaiqing-nie.
- 626 type InProceedings.
- 626 label "Web Object Retrieval".
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- 626 abstract "The primary function of current Web search engines is essentially relevance ranking at the document level. However, myriad structured information about real-world objects embedded in static Web pages and online Web databases. Document-level information retrieval can unfortunately lead to highly inaccurate relevance ranking in answering object-oriented queries. In this paper, we propose a paradigm shift to enable searching at the object level. In traditional information retrieval models, documents are taken as the retrieval units and the content of a document is considered reliable. However, this reliability assumption is no longer valid in the object retrieval context when multiple copies of information about the same object typically exist. These copies may be inconsistent because of diversity of Web site qualities and the limited performance of current information extraction techniques. If we simply combine the noisy and inaccurate attribute information extracted from different sources, we may not be able to achieve satisfactory retrieval performance. In this paper, we propose several language models for Web object retrieval, namely an unstructured object retrieval model, a structured object retrieval model, and a hybrid model with both structured and unstructured retrieval features. We test these models on a paper search engine and compare their performances. We conclude that the hybrid model is the superior by taking into account the extraction errors at varying levels.".
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- 631 creator giuseppe-carenini.
- 631 creator raymond-ng.
- 631 creator xiaodong-zhou.
- 631 type InProceedings.
- 631 label "Summarizing Email Conversations with Clue Words".
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- 631 abstract "With the ever increasing popularity of emails, email overload becomes a major problem for email users. Email summarization is one way not only to solve this problem, but also to make use of one's email corpus. In this paper, we propose a new framework for email summarization. One novelty is to use a fragment quotation graph to try to capture an email conversation. The second novelty is to use clue words to measure the importance of sentences in conversation summarization. Based on clue words and their scores, we propose a method called CWS, which is capable of producing a summary of any length as requested by the user. We provide a comprehensive comparison of CWS with various existing methods on the Enron data set. Preliminary results suggest that CWS provides better summaries than existing methods.".
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- 631 title "Summarizing Email Conversations with Clue Words".
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