Searched for: author:"Verberne, S."
(1 - 20 of 27)

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Kraaij, W. (author), Verberne, S. (author), Koldijk, S. (author), de Korte, E. (author), van Dantzig, S. (author), Sappelli, M. (author), Shoaib, M. (author), Bosems, S. (author), Achterkamp, R. (author), Bonomi, A. (author), Schavemaker, J. (author), Hulsebosch, B. (author), Wabeke, T. (author), Vollenbroek-Hutten, M. (author), Neerincx, M. (author), Sinderen, M. (author)
Recent advances in wearable sensor technology and smartphones enable simple and affordable collection of personal analytics. This paper reflects on the lessons learned in the SWELL project that addressed the design of user-centered ICT applications for self-management of vitality in the domain of knowledge workers. These workers often have a...
article 2020
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Verberne, S. (author), Wabeke, T. (author), Kaptein, R. (author)
In this paper, we evaluate query suggestion for Boolean queries in a news monitoring system. Users of this system receive news articles that match their running query on a daily basis. Because the news for a topic continuously changes, the queries need regular updating. We first investigated the users' working process through interviews and then...
conference paper 2016
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Verberne, S. (author), Arends, B. (author), Kraaij, W. (author), de Vries, A. (author)
We have collected the access logs for our university's web domain over a time span of 4.5 years. We now release the pre-processed data of a 3-month period for research into user navigation behavior. We preprocessed the data so that only successful GET requests of web pages by non-bot users are kept. The resulting 3-month collection comprises 9...
conference paper 2016
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Sappelli, M. (author), Pasi, G. (author), Verberne, S. (author), de Boer, M. (author), Kraaij, W. (author)
In this paper, we analyze corporate e-mail messages as a medium to convey work tasks. Research indicates that categorization of e-mail could alleviate the common problem of information overload. Although e-mail clients provide possibilities of e-mail categorization, not many users spend effort on proper e-mail management. Since e-mail clients...
article 2016
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Verberne, S. (author), Sappelli, M. (author), Hiemstra, D. (author), Kraaij, W. (author)
We evaluate five term scoring methods for automatic term extraction on four different types of text collections: personal document collections, news articles, scientific articles and medical discharge summaries. Each collection has its own use case: author profiling, boolean query term suggestion, personalized query suggestion and patient query...
article 2016
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Sappelli, M. (author), Verberne, S. (author), Kraaij, W. (author)
In this article we evaluate context-aware recommendation systems for information re-finding by knowledge workers. We identify 4 criteria that are relevant for evaluating the quality of knowledge worker support: context relevance, document relevance, prediction of user action, and diversity of the suggestions. We compare 3 different context-aware...
article 2016
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Sappelli, M. (author), Verberne, S. (author), Kraaij, W. (author)
In this article, we propose and implement a new model for context recognition and identification. Our work is motivated by the importance of "working in context" for knowledge workers to stay focused and productive. A computer application that can identify the current context in which the knowledge worker is working can (among other things)...
article 2016
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Verberne, S. (author), Sappelli, M. (author), Järvelin, K. (author), Kraaij, W. (author)
In this paper, we address the question “what is the influence of user search behaviour on the effectiveness of personalized query suggestion?”. We implemented a method for query suggestion that generates candidate follow-up queries from the documents clicked by the user. This is a potentially effective method for query suggestion, but it heavily...
conference paper 2015
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Schavemaker, J.G.M. (author), Boertjes, E.M. (author), Koldijk, S.J. (author), Wiertz, L. (author), Verberne, S. (author), Sappelli, M. (author), Kaptein, A.M. (author)
In this contribution1 we present a novel psychological intervention that maps human computer activity to a group feedback device on the basis of a combination of various types of unobtrusive, low-level sensors. The goal is to enable employees to gain insights into their working habits, to reduce stress levels and increase productivity. The...
conference paper 2014
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Verberne, S. (author), Sappelli, M. (author), Kraaij, W. (author)
In this paper, we evaluate query term suggestion in the context of academic professional search. Our overall goal is to support scientists in their information seeking tasks. We set up an interactive search system in which terms are extracted from clicked documents and suggested to the user before every query specification step. We evaluated our...
bookPart 2014
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Sappelli, M. (author), Verberne, S. (author), Koldijk, S.J. (author), Kraaij, W. (author)
We collected human - computer interaction data (keystrokes, active applications, typed text, etc.) from knowledge workers in the context of writing reports and preparing presentations. This has resulted in an interesting dataset that can be used for different types of information retrieval and information seeking research. The details of the...
conference paper 2014
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Sappelli, M. (author), Verberne, S. (author), Kraaij, W. (author)
Automatic e-mail categorization with traditional classification methods requires labelling of training data. In a real-life setting, this labelling disturbs the working flow of the user. We argue that it might be helpful to use documents, which are generally well-structured in directories on the file system, as training data for supervised e...
conference paper 2014
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Koldijk, S.J. (author), Sappelli, M. (author), Verberne, S. (author), Neerincx, M.A. (author), Kraaij, W. (author)
This paper describes the new multimodal SWELL knowl- edge work (SWELL-KW) dataset for research on stress and user modeling. The dataset was collected in an experiment, in which 25 people performed typical knowledge work (writing reports, making presentations, reading e-mail, searching for information). We manipulated their working conditions...
conference paper 2014
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Verberne, S. (author), van der Heijden, M. (author), Hinne, M. (author), Sappelli, M. (author), Koldijk, S. (author), Hoenkamp, E. (author), Kraaij, W. (author)
In most intent recognition studies, annotations of query intent are created post hoc by external assessors who are not the searchers themselves. It is important for the field to get a better understanding of the quality of this process as an approximation for determining the searcher's actual intent. Some studies have investigated the...
article 2013
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Sappelli, M. (author), Verberne, S. (author), Kraaij, W. (author)
In this work, we present a binary classification problem in which we aim to identify those email messages that the receiver will reply to. The future goal is to develop a tool that informs a knowledge worker which emails are likely to need a reply. The Enron corpus was used to extract training examples. We analysed the word n-grams that...
conference paper 2013
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Sappelli, M. (author), Kraaij, W. (author), Verberne, S. (author)
The purpose of the Contextual Suggestion track, an evaluation task at the TREC 2012 conference, is to suggest personalized tourist activities to an individual, given a certain location and time. In our content-based approach, we collected initial recommendations using the location context as search query in Google Places. We first ranked the...
conference paper 2013
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Verberne, S. (author), Sappelli, M. (author), Sørensen, D.R. (author), Kraaij, W. (author)
In this paper, we investigated how academic search can profit from personalization by incorporating query history and background knowledge in the ranking of the results. We implemented both techniques in a language modelling framework, using the Indri search engine. For our experiments, we used the iSearch data collection, a large corpus of...
conference paper 2013
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Sappelli, M. (author), Verberne, S. (author), Kraaij, W. (author)
The purpose of the Contextual Suggestion track is to suggest personalized touristic activities to an individual, given a certain location and time. In our approach, we collected initial recommendations by using the location context as search query in Google Places. We first ranked the recommendations based on their textual similarity to the user...
conference paper 2013
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Fuhr, N. (author), Kamps, J. (author), Kraaij, W. (author), Verberne, S. (author)
This paper reports on the fourth Information Interaction in Context (IIiX) Symposium held in Nijmegen, the Netherlands in August 2012. It featured a lively program with 3 keynotes, 25 long papers with oral presentation, 20 short papers with poster presentation, a doctoral consortium, a workshop on human-computer information retrieval, and was...
article 2013
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Verberne, S. (author), Sappelli, M. (author), Kraaij, W. (author)
We compared three term scoring methods in their ability to extract descriptive terms from a knowledge worker's document collection. We compared the methods in two different evaluation scenarios, both from the perspective of the user: a perterm evaluation, and a holistic (term cloud) evaluation. We found that users tend to prefer a term scoring...
conference paper 2013
Searched for: author:"Verberne, S."
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