Searched for: author:"Sappelli, M."
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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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Wijn, R. (author), Paradies, G.L. (author), Sappelli, M. (author)
Dit onderzoek geeft een antwoord op drie vragen van NVM: • Welke tastbare en minder tastbare kenmerken van huizen, huizenzoekers en context zijn bepalend voor de keuze van een huis?; • Leent de huizencontext zich voor een recommender systeem waarin aan huizenzoekers gepersonaliseerde huizensuggesties worden gedaan?; • Sluit de ontwikkeling van...
report 2017
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Raaijmakers, S.A. (author), Sappelli, M. (author), Kraaij, W. (author)
In this short paper, we address the interpretability of hidden layer representations in deep text mining: deep neural networks applied to text mining tasks. Following earlierwork predating deep learning methods, we exploit the internal neural network activation (latent) space as a source for performing k-nearest neighbor search, looking for...
conference paper 2017
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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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Neerincx, M.A. (author), Kaptein, F. (author), van Bekkum, M.A. (author), Krieger, H.U. (author), Kiefer, B. (author), Peters, R. (author), Broekens, J. (author), Sappelli, M. (author)
The PAL project is developing: (1) an embodied conversational agent (robot and its avatar); (2) applications for child-agent activities that help children from 8 to 14 years old to acquire the required knowledge, skills and attitude for adequate diabetes self-management; and (3) dashboards for caregivers to enhance their supportive role for this...
conference paper 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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de Boer, M.H.T. (author), Brandt, P. (author), Sappelli, M. (author), Daniele, L.M. (author), Schutte, K. (author), Kraaij, W. (author)
One of the challenges in the field of content-based image retrieval is to bridge the semantic gap that exists between the information extracted from visual data using classifiers, and the interpretation of this data made by the end users. The semantic gap is a cascade of 1) the transformation of image pixels into labelled objects and 2) the...
article 2015
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de Boer, M.H.T. (author), Daniele, L.M. (author), Brandt, P. (author), Sappelli, M. (author)
Abstract—With the growth of open sensor networks, multiple applications in different domains make use of a large amount of sensor data, resulting in an emerging need to search semantically over heterogeneous datasets. In semantic search, an important challenge consists of bridging the semantic gap between the high-level natural language query...
conference paper 2015
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Schutte, K. (author), Bouma, H. (author), Schavemaker, J.G.M. (author), Daniele, L.M. (author), Sappelli, M. (author), Koot, G. (author), Eendebak, P.T. (author), Azzopardi, G. (author), Spitters, M.M. (author), de Boer, M.H.T. (author), Kruithof, M.C. (author), Brandt, P. (author)
The number of networked cameras is growing exponentially. Multiple applications in different domains result in an increasing need to search semantically over video sensor data. In this paper, we present the GOOSE demonstrator, which is a real-time general-purpose search engine that allows users to pose natural language queries to retrieve...
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
Searched for: author:"Sappelli, M."
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