1,721,410 research outputs found
Proceedings of the ACM Recommender Systems 2012 Workshop on Human Decision Making in Recommender Systems (Decisions@RecSys 2012)
No full textInteracting with a recommender system means to take different decisions such as selecting a
song/movie from a recommendation list, selecting specific feature values (e.g., camera’s size,
zoom) as criteria, selecting feedback features to be critiqued in a critiquing based
recommendation session, or selecting a repair proposal for inconsistent user preferences when
interacting with a knowledge-based recommender. In all these scenarios, users have to solve a
decision task.
The complexity of decision tasks, limited cognitive resources of users, and the tendency to keep
the overall decision effort as low as possible lead to the phenomenon of bounded rationality,
i.e., users exploit decision heuristics rather than trying to take an optimal decision. Furthermore,
preferences of users will likely change throughout a recommendation session, i.e., preferences
are constructed in a specific decision environment and users do not know their preferences
beforehand.
Decision making under bounded rationality is a door opener for different types of non-conscious
influences on the decision behavior of a user. Theories from decision psychology and cognitive
psychology are trying to explain these influences, for example, decoy effects and defaults can
trigger significant shifts in item selection probabilities; in group decision scenarios, the visibility
of the preferences of other group members can have a significant impact on the final group
decision.
The major goal of this workshop was to establish a platform for industry and academia to
present and discuss new ideas and research results that are related to the topic of human
decision making in recommender systems. The workshop consisted of technical sessions in
which results of ongoing research as reported in these proceedings were presented, a keynote
talk given by Joseph A. Konstan on “Decision-Making and Recommender Systems: Failures,
Successes, and Research Directions” and a wrap up session chaired by Alexander Felfernig
Proceedings of the 22nd International Configuration Workshop
Full text linkThe 2020 Workshop on Configuration continues the series of successful workshops organized within IJCAI, AAAI, and ECAI since 1999. Starting from 2013, the workshop was held independently from major conferences. Even in this 22nd edition, beside researchers from a variety of different fields, it attracted a significant number of industrial participants from major configurator vendors as well as from end-users. The 2020 Workshop on Configuration is a standalone two-day event. It was planned to takes place in Vicenza, Italy at the Department of Management and Engineering of Padova University. Due to COVID19 pandemic, it has been moved online. A total of 18 papers were selected for presentation on the Configuration Workshop. All papers underwent to full paper blind review with a minimum of two independent reviewers per paper. All papers have been substantially changed to comply with the reviewers’ observations. The themes of the technical sessions are knowledge representation & reasoning, peculiar technologies for configuration (machine learning, conversational agents (chatboats and voiceboats), social software, Microsoft excel), configuration of products in use (reconfiguration, adaptation, renovation, maintenance, repair), business applications with a special focus on the provision of empirical data to depict the state of the art on configuration practices
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Evaluating Group Recommender Systems
No full textIn the previous chapters, we have learned how to design group recommender systems but did not explicitly discuss how to evaluate them. The evaluation techniques for group recommender systems are often the same or similar to those that are used for single user recommenders. We show how to apply these techniques on the basis of examples and introduce evaluation approaches that are specifically useful in group recommendation scenarios
Conclusions
No full textIn this chapter, we shortly summarize the contributions provided in this book
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