1,721,153 research outputs found
From Pictures to Travel Characteristics: Deep Learning-Based Profiling of Tourists and Tourism Destinations
No full textTourism products are complex and strongly tied to emotions. Thus, it is not easy for consumers to explicitly communicate their travel preferences, needs, and interest, especially in the early phase of travel decision making. In the spirit of the idiom "A picture is worth a thousand words" we utilize pictures to characterize tourists as well as tourism destinations in order to build the foundations of a recommender system (RS). In this work all entities (i.e., users and items) are characterized using the Seven-Factor Model. Pre-labelled pictures are used in order to train convolutional neural networks (CNN) in a transfer learning manner with the goal to extract the Seven-Factors of a given picture. We demonstrate that touristic characteristics can be extracted out of pictures. Furthermore, we show that those characteristics can be aggregated for a collection of pictures, such that a representation of a user or a destination can be determined respectively
Conversational Recommender Systems Using Generative Models (Gen-CRS): Literature Review
No full text<h2>Description</h2>
<p>This dataset contains a curated list of 49 research papers focused on Conversational Recommender Systems using Generative Models (Gen-CRS). The collection covers publications from 2018 to 2025 and reflects the rapid evolution of generative approaches in conversational recommendation scenarios.</p>
<p><br>The dataset was compiled in the context of the literature review “<a href="https://www.researchgate.net/publication/398319946_Conversational_Recommender_Systems_Using_Generative_Models_Gen-CRS_A_Literature_Review" target="_blank" rel="noopener">Conversational Recommender Systems Using Generative Models (Gen-CRS): A Literature Review</a>” and the tutorial “<a href="https://dl.acm.org/doi/10.1145/3705328.3748010" target="_blank" rel="noopener">A Tutorial on Recent Advances in Generative Conversational Recommender Systems</a>”, presented at the <a href="https://recsys.acm.org/recsys25/tutorials/" target="_blank" rel="noopener">ACM RecSys conference 2025</a>. It serves as the bibliographic foundation for both contributions and is intended to support transparency, reproducibility, and further research in this area.</p>
<p>Each entry in the dataset corresponds to a single paper relevant to Gen-CRS, and the selection process, collection methodology, and inclusion criteria are provided in the accompanying literature review paper.</p>
<h2>Dataset Structure</h2>
<p>The dataset is organized in a tabular format, where each row corresponds to a single publication included in the literature collection. Rows contain the essential bibliographic metadata required to identify and retrieve the original paper.</p>
<h3>The dataset includes the following columns:</h3>
<ul>
<li><strong>Paper title:</strong> Full title of the publication</li>
<li><strong>Author(s):</strong> Names of all authors as reported in the original paper</li>
<li><strong>Year:</strong> Year in which the paper was published</li>
<li><strong>Published at:</strong> Conference, workshop, journal, or other venue where the work appeared</li>
<li><strong>Reference Link/DOI:</strong> Persistent link to access the published document (e.g., DOI, publisher URL, or preprint reference)</li>
</ul>
TourExplain: A Crowdsourcing Pipeline for Generating Explanations for Groups of Tourists
No full textWhen a group is traveling together it is challenging to recommendan itinerary consisting of several points of interest (POIs). Thepreferences of individual group members often diverge, but it isimportant to keep everyone in the group satisfied during the entiretrip. We propose a method to consider the preferences of all thepeople in the group. Building on this method, we design expla-nations for groups of people, to help them reach a consensus forplaces to visit. However, one open question is how to best formu-late explanations for such sequences. In this paper, we introduceTourExplain, an automated crowdsourcing pipeline to generate andevaluate explanations for groups with the aim of improving ourinitial proposed explanations by relying on the wisdom of crowds.Accepted author manuscriptWeb Information System
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
Motivations, mobility and work practices; the conceptual realities of digital nomads
No full textIn an increasingly digitised and globalised world, a new type of business tourism has emerged, undertaken by the digital nomad (DN). Tourism operators and government agencies are increasingly seeking to attract DNs. Yet, knowledge about DNs is often based on reports that focus on glamorous aspects of the DN lifestyle whilst glossing over the negative realities of DN lifestyles. This study addresses this gap by adopting a retrospective autoethnographical approach that provides a more holistic understanding of DN life. The study collects and critically reflects on a vast amount of data related to various events and observations associated with the lead researcher's experience of living as a DN. Sans gloss, the study’s findings reveal the characteristic motivations, mobility and work practices of DNs, discusses the implications of DNs for tourism practitioners that seek to attract DNs, and recommends future areas of research
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
CiRi-Engine: POI Recommender System for Diverse and Balanced Walking Tours
Full text linkWe present CiRi-Engine (CityRiddler Recommendation Engine), an interactive city walking-tour recommender system. This demonstration paper showcases a novel approach to generating personalized and balanced itineraries for urban exploration. By combining user-specified constraints, such as start and end locations, tour duration, interest categories, and challenge preferences, with an efficient dual-stage routing algorithm, CiRi-Engine dynamically constructs diverse routes featuring curated Points of Interest (POIs). The engine leverages a novel hybrid of A* and Beam Search for path planning, and incorporates preference-aware POI selection to ensure both relevance and diversity. We demonstrate firsthand how the system balances route diversity, thematic coherence, and user-specified constraints, demonstrating its effectiveness for handling multiple objectives and generating engaging walking tours
Customer value framework and recommendation intention: the moderating role of customer characteristics in an online travel community
Full text linkThe aim of this study was to develop and test a model that examined the interactions among the customer value framework, recommendation intention and customer characteristics in an online travel community (OTC). Data were obtained using Amazon Mechanical Turk from 251 members of an OTC as a sample. The partial least squares method was used to analyse the data. We found that all the variables of the customer value framework, including functional value, hedonic value and social value, were positively related to recommendation intention. In addition, using multi-group analyses, the study found differences between how different customer segments perceive each of the value dimensions and their effect on recommendation intention. Theoretical and managerial implications are offered
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