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User modeling

About: User modeling is a research topic. Over the lifetime, 10701 publications have been published within this topic receiving 278012 citations.


Papers
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Proceedings ArticleDOI
01 Apr 2008
TL;DR: A methodology for characterizing and identifying user behaviors in online social networks is proposed and it is shown that attributes that stem from the user social interactions, in contrast to attributes relative to each individual user, are good discriminators and allow the identification of relevant user behaviors.
Abstract: Online social networks pose an interesting problem: how to best characterize the different classes of user behavior. Traditionally, user behavior characterization methods, based on user individual features, are not appropriate for online networking sites. In these environments, users interact with the site and with other users through a series of multiple interfaces that let them to upload and view content, choose friends, rank favorite content, subscribe to users and do many other interactions. Different interaction patterns can be observed for different groups of users. In this paper, we propose a methodology for characterizing and identifying user behaviors in online social networks. First, we crawled data from YouTube and used a clustering algorithm to group users that share similar behavioral pattern. Next, we have shown that attributes that stem from the user social interactions, in contrast to attributes relative to each individual user, are good discriminators and allow the identification of relevant user behaviors. Finally, we present and discuss experimental results of the use of proposed methodology. A set of useful profiles, derived from the analysis of the YouTube sample is presented. The identification of different classes of user behavior has the potential to improve, for instance, recommendation systems for advertisements in online social networks.

206 citations

Journal ArticleDOI
TL;DR: This article analyzed the completeness, consistency and replication of form-based and tag-based user profiles, which result from social tagging activities in systems such as Flickr, Delicious and StumbleUpon, and developed and evaluated several cross-system user modeling strategies in the context of recommender systems.
Abstract: In order to adapt functionality to their individual users, systems need information about these users The Social Web provides opportunities to gather user data from outside the system itself Aggregated user data may be useful to address cold-start problems as well as sparse user profiles, but this depends on the nature of individual user profiles distributed on the Social Web For example, does it make sense to re-use Flickr profiles to recommend bookmarks in Delicious? In this article, we study distributed form-based and tag-based user profiles, based on a large dataset aggregated from the Social Web We analyze the completeness, consistency and replication of form-based profiles, which users explicitly create by filling out forms at Social Web systems such as Twitter, Facebook and LinkedIn We also investigate tag-based profiles, which result from social tagging activities in systems such as Flickr, Delicious and StumbleUpon: to what extent do tag-based profiles overlap between different systems, what are the benefits of aggregating tag-based profiles Based on these insights, we developed and evaluated the performance of several cross-system user modeling strategies in the context of recommender systems The evaluation results show that the proposed methods solve the cold-start problem and improve recommendation quality significantly, even beyond the cold-start

206 citations

Journal ArticleDOI
TL;DR: An integrative model explaining intentions to use an information technology is proposed, and revealed strong influences of both personal innovativeness and computer self-efficacy.
Abstract: An integrative model explaining intentions to use an information technology is proposed. The primary objective is to obtain a clearer picture of how intentions are formed, and draws on previous research such as the Technology Acceptance Model (Davis, Bagozzi, & Warshaw, 1989) and the Decomposed Theory of Planned Behavior (Taylor & Todd, 1995a). The conceptual model was tested using questionnaire responses from 189 subjects, measured at two time periods approximately two months apart. The results generally supported the hypothesized relationships, and revealed strong influences of both personal innovativeness and computer self-efficacy.

206 citations

Patent
Chanda Dharap1
10 Jun 1999
TL;DR: In this article, a context is created based on a profile of the user, the profile being at least partly formed in advance and candidate data is selected from the data base under control of the context and the user is enabled to interact with the candidates.
Abstract: A user is enabled to navigate through an electronic data base in a personalized manner. A context is created based on a profile of the user, the profile being at least partly formed in advance. Candidate data is selected from the data base under control of the context and the user is enabled to interact with the candidates. The profile is based on topical information supplied by the user in advance and a history of previous accesses from the user to the data base.

205 citations

Patent
20 Dec 2002
TL;DR: In this article, the authors present a method for organizing user provided information being available in a mobile terminal device with meta-information for allowing retrieving of the user-provided information and a device being capable of performing the method.
Abstract: The present invention provides a method for organizing user provided information being available in a mobile terminal device with meta-information for allowing retrieving of the user provided information and a device being capable to perform the method. The user provided information is obtained in consequence on any user operation against the mobile terminal device and context information is obtained which is associated with the User provided information. The meta-information is obtained from the context information and assigned to the user provided information. The user provided information and the meta-information is stored in a history storage in order to establish an information history functionality. The meta-information is employed for retrieval of the User provided information by matching request information : provided with a retrieval request with the meta-information for selecting a user provided information being assigned to the matching meta-information. Further, the method for organizing user provided information employs calendar information for obtaining meta-information. The calendar information is obtained from an electronic calendar implemented in the mobile terminal device. The calendar information is matched with user provided information to obtain the meta-information. Further, the method for organizing user provided information is adapted to organize user provided audio information. The user provided audio information is obtained, recorded and stored. During the recording additional user provided information and context information relating to the recording operation is obtained. The meta-information comprising information about the additional user provided information and the context information. Further, the method for organizing user provided information is adapted to organize User provided audio information by embedding meta-information into the User provided audio information. The embedding is based on a set of code bases representing a plurality of coding symbols and the set of code bases is adapted to enable a mapping of the meta-information into the a plurality of coding symbols. The user provided audio information and the mapped meta-information is combined by embedding the mapped meta-information into the user provided audio information.

205 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202327
202269
2021150
2020167
2019194
2018216