How to tell people where to go: comparing navigational aids
International Journal of Man-Machine Studies
CHI '92 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The World-Wide-Web as social hypertext
Communications of the ACM
GroupLens: applying collaborative filtering to Usenet news
Communications of the ACM
Supporting social navigation on the World Wide Web
International Journal of Human-Computer Studies - Special issue: innovative applications of the World Wide Web
Socially translucent systems: social proxies, persistent conversation, and the design of “babble”
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Footprints: history-rich tools for information foraging
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Visualizing interaction history on a collaborative web server
HYPERTEXT '00 Proceedings of the eleventh ACM on Hypertext and hypermedia
Explaining collaborative filtering recommendations
CSCW '00 Proceedings of the 2000 ACM conference on Computer supported cooperative work
Social navigation of food recipes
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Personal and Social Navigation of Information Space
Personal and Social Navigation of Information Space
Making web sites be places for social interaction
CSCW '02 Proceedings of the 2002 ACM conference on Computer supported cooperative work
Is seeing believing?: how recommender system interfaces affect users' opinions
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Results from the footprints project
Designing information spaces
A comparison of several predictive algorithms for collaborative filtering on multi-valued ratings
Proceedings of the 2004 ACM symposium on Applied computing
REFEREE: an open framework for practical testing of recommender systems using ResearchIndex
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Designing familiar open surfaces
Proceedings of the 4th Nordic conference on Human-computer interaction: changing roles
Collecting community wisdom: integrating social search & social navigation
Proceedings of the 12th international conference on Intelligent user interfaces
Celebratory technology: new directions for food research in HCI
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
CityFlocks: designing social navigation for urban mobile information systems
Proceedings of the 7th ACM conference on Designing interactive systems
A tag in the hand: supporting semantic, social, and spatial navigation in museums
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
What can user experience learn from food design?
CHI '09 Extended Abstracts on Human Factors in Computing Systems
"The devil you know knows best": how online recommendations can benefit from social networking
BCS-HCI '07 Proceedings of the 21st British HCI Group Annual Conference on People and Computers: HCI...but not as we know it - Volume 1
Relationship Enhancer: Interactive Recipe in Kitchen Island
Proceedings of the 13th International Conference on Human-Computer Interaction. Part III: Ubiquitous and Intelligent Interaction
Mobile Social Service Design for Large-Scale Exhibition
OCSC '09 Proceedings of the 3d International Conference on Online Communities and Social Computing: Held as Part of HCI International 2009
An evaluation of a meal planning system: ease of use and perceived usefulness
Proceedings of the 23rd British HCI Group Annual Conference on People and Computers: Celebrating People and Technology
Social information access: the other side of the social web
SOFSEM'08 Proceedings of the 34th conference on Current trends in theory and practice of computer science
Deriving a recipe similarity measure for recommending healthful meals
Proceedings of the 16th international conference on Intelligent user interfaces
Exploring folksonomy and cooking procedures to boost cooking recipe recommendation
APWeb'11 Proceedings of the 13th Asia-Pacific web conference on Web technologies and applications
GeoDrinking: how to extract value from an extended social wine drinking experience
UAHCI'11 Proceedings of the 6th international conference on Universal access in human-computer interaction: context diversity - Volume Part III
Recipe recommendation using ingredient networks
Proceedings of the 3rd Annual ACM Web Science Conference
Intelligent menu planning: recommending set of recipes by ingredients
Proceedings of the ACM multimedia 2012 workshop on Multimedia for cooking and eating activities
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Comer, Comentar e Compartilhar: Análise de uma Rede de Ingredientes e Receitas
Proceedings of the X Brazilian Symposium in Collaborative Systems
Cooking personas: Goal-directed design requirements in the kitchen
International Journal of Human-Computer Studies
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The idea of social navigation is to aid users to navigate information spaces through making the collective, aggregated, or individual actions of others visible and useful as a basis for making decisions on where to go next and what to choose. These social markers should also help in turning the navigation experience into a social and pleasurable one rather than the tedious, boring, frustrating, and sometimes even scary experience of a lonely traveler. To evaluate whether it is possible to design for social navigation, we built the food recipe system Kalas. It includes several different forms of aggregated trails of user actions and means of communication between users: recommender system functionality (recommendations computed from others' choices), real-time broadcasting of concurrent user activity in the interface, possibilities to comment and vote on recipes, the number of downloads per recipe, and chatting facilities. Recipe author was also included in the recipe description.Kalas was tried with 302 users during six months, and 73 of the users answered a final questionnaire. The overall impression was that users liked and acted on aggregated trails and navigated differently because of them. 18&percent; of the selected recipes came from the list of recommended recipes. About half of the 73 users understood that recommendations were computed from their own and others actions, while the rest had not reflected upon it or had erroneous beliefs. Interestingly, both groups selected a large proportion of their recipes from the recommendations.Unfortunately, there were not enough users to populate the space at every occasion, and thus both chatting and following other users moving in the space was for the most part not possible, but when possible, users move to the space where most other users could be found. Of the other social textures, users themselves claimed to be most influenced by other users' comments attached to the recipes and less by recipe author or number of downloads. Users are more positive to the possibility of expressing themselves in terms of comments and voting than seeing the comments and votes of others.It was noted that users did not pick more recommended recipes towards the end of the study period when the accuracy of recommendations should have been higher. More or less from the start, they picked recommended recipes and went on doing so throughout the whole period.