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Recommending Case Bases: Applications in Social Web Search [chapter]

Zurina Saaya, Barry Smyth, Maurice Coyle, Peter Briggs
2011 Lecture Notes in Computer Science  
We motivate this problem with reference to a deployed social web search service called HeyStaks, which is based on the availability of multiple repositories of shared search knowledge, known as staks,  ...  In this paper we consider a complementary retrieval issue, namely the retrieval of case bases themselves in scenarios where experience may be distributed across multiple case repositories.  ...  Introduction This paper is about social search and the use of case-based reasoning (CBR) techniques to develop social search technologies that work in tandem with mainstream web search engines.  ... 
doi:10.1007/978-3-642-23291-6_21 fatcat:ht4257is7fcezdxup5wa32o2vy

Enabling semantics-aware collaborative tagging and social search in an open interoperable tagosphere

Javier Soriano, Javier López, Miguel Jiménez, Fernando Alonso
2008 Proceedings of the 10th International Conference on Information Integration and Web-based Applications & Services - iiWAS '08  
To make the most of a global network effect and to search and filter the Long Tail, a collaborative tagging approach to social search should be based on the global activity of tagging, rating and filtering  ...  This improves search results in terms of recall and precision, and represents an innovative means of semantics-aware collaborative filtering and content ranking.  ...  In a collaborative tagging-and rating-based mash-up approach to social search, tagging provides Web content with user-contributed metadata that helps to distinguish high-quality contents from all the noise  ... 
doi:10.1145/1497308.1497328 dblp:conf/iiwas/SorianoLJA08 fatcat:sjyyhi3qu5epzintqqab5siqk4

Personalized Conversational Case-Based Recommendation [chapter]

Mehmet H. Göker, Cynthia A. Thompson
2000 Lecture Notes in Computer Science  
The system enhances the user's requirements with the user model and retrieves suitable items from a case-base.  ...  In this paper, we describe the Adaptive Place Advisor, a user adaptive, conversational recommendation system designed to help users decide on a destination, specifically a restaurant.  ...  The set of items that is returned from the database is used as a case-base for similarity based retrieval. This allows the content of the case-base to change between each step in the conversation.  ... 
doi:10.1007/3-540-44527-7_10 fatcat:kue2ne2u6bdwfi46rtkblnbhqa

Case Base Querying for Travel Planning Recommendation

F. Ricci, H. Werthner
2001 Information Technology & Tourism  
Case-Based Reasoning techniques enable the user to browse a repository of past travels and make possible the ranking of the elementary items included in a recommendation when these are selected from a  ...  This paper describes the general architecture and function of an intelligent recommendation system aimed at supporting a leisure traveller in the task of selecting a tourist destination, bundling a set  ...  Case Based Recommendation and Tourism The application of CBR to Travel and Tourism is in a very early stage.  ... 
doi:10.3727/109830501108751001 fatcat:vy4th3xkaba5to6mu2pe7ly3sy

MOOC-Rec: A Case Based Recommender System for MOOCs

Fatiha Bousbahi, Henda Chorfi
2015 Procedia - Social and Behavioral Sciences  
Since information retrieval and searching for the appropriate learning resources is an essential activity in TEL, the development of recommender systems for learning has seen increased attention.  ...  Using the Case Based Reasoning (CBR) approach and a special retrieval information technique, the system proposes to the learners the most appropriate MOOCs (from different providers) fitting her/his request  ...  If no similar solution is found in the case base, a search will be processed on the web; a new solution is constructed and saved in the case base.  ... 
doi:10.1016/j.sbspro.2015.06.395 fatcat:g4w6lnhzergifl6jubs6wnhp4y

Information Search Trail Recommendation Based on Markov Chain Model and Case-based Reasoning

Afeng Wang, Yiming Zhao, Yijin Chen
2020 Data and Information Management  
AbstractAn information search trail recommendation method based on the Markov chain model and case-based reasoning is proposed.  ...  The proposed search trail recommendation method extends the application scope of information recommendations and provides insights to improve the organization and management of online information resources  ...  Equation (9) , tmc i represents the search trail recommendation case of a certain type of search task, and N represents the number of cases in the case base.  ... 
doi:10.2478/dim-2020-0047 fatcat:egpwe5i2mfdwnbrbwggo5obq5a

CBCRS: An open case-based color recommendation system

Yan Hong, Xianyi Zeng, Yuyang Wang, Pascal Bruniaux, Yan Chen
2018 Knowledge-Based Systems  
In this paper, a case-based color recommendation system (CBCRS) is proposed for online color ranges (CRs) recommendation.  ...  The proposed recommendation system is capable of dynamically generating new CIWs, CRs and new cases based on open resources.  ...  Through a series of real applications, the proposed color recommendation system supported by case-based learning has demonstrated the implication of cased-based decision-making in a scaleable data environment  ... 
doi:10.1016/j.knosys.2017.11.014 fatcat:xpzgxhwxinhgvgdabf5vyt7kba

Social Trust Based Semantic Tourism Recommender System: A Case of Medical Tourism in Tunisia

Mohamed Frikha, Mohamed Mhiri, Faiez Gargouri
2017 European Journal of Tourism Research  
We have also applied our tourism recommender system for the case of medical tourism in Tunisia to help users interested in traveling to Tunisia for medical purposes.  ...  We propose to integrate the temporal factor in measuring trust between social network friends. A Trusted Friend's calculation method is developed for determining social trusted friends in Facebook.  ...  A social network-based Web application can be a useful option for the implementation of a social tourism recommender system.  ... 
doi:10.54055/ejtr.v17i.294 fatcat:zh4udp3v5ne2ncaf2zaxeazvg4

A case-based reasoning recommender system for sustainable smart city development

Bokolo Anthony Jnr
2020 AI & Society: The Journal of Human-Centred Systems and Machine Intelligence  
Thus, this study integrates case-based reasoning (CBR) as an artificial intelligence technique to develop a recommender system towards promoting smart city planning.  ...  Accordingly, survey data were collected from 115 respondents to evaluate the applicability of the implemented CBR recommender system in relation to how the system provides best practice recommendations  ...  Case retrieval Case retrieval aims to find the most similar case from the knowledge base in relation to the keywords of the searched case.  ... 
doi:10.1007/s00146-020-00984-2 fatcat:f6i5e3dxnnhgbp3rcc2nfufex4

A Case Study on Various Recommendation Systems

Athulya R., Remya R.
2016 International Journal of Computer Applications  
Usually recommender systems are based on the keyword search which allows the efficient scanning of very large document collections.  ...  Recommender systems have become extremely common in the recent years, and are applied in a variety of fields.  ...  In case of new users, the system does not have information about their preferences in order to make recommendations. So it becomes difficult for the system to recommend any suggestions.  ... 
doi:10.5120/ijca2016908149 fatcat:zgysn7g3brcqrm7hthobupzhp4

Profile-based recommendation: A case study in a parliamentary context

Luis M. de Campos, Juan M. Fernández-Luna, Juan F. Huete
2016 Journal of information science  
speeches in plenary or committee sessions.  ...  This paper explores both these ways of searching for relevant people conceptually by encapsulating them into a single problem: that of searching for the relevant MP's profile given an information need.  ...  In terms of the application, many content-based (or hybrid) recommender systems exist for a wide range of domains: web pages [34] , news [35] , music [25] , movies [36] , books [37] , emails [27]  ... 
doi:10.1177/0165551516659402 fatcat:pgusnhnw6nhgpfkt63jftglu5m

Recommended Guidelines for Effective MOOCs based on a Multiple-Case Study [article]

Eduardo Guerra, Fabio Kon, Paulo Lemos
2022 arXiv   pre-print
In particular, dropout rates in MOOCs are, normally, at least an order of magnitude higher than in conventional courses.  ...  In this paper, we analyze data from 7 successful MOOCs that have attracted over 150,000 students in the past years.  ...  MOOCs Good Practices and Methods Based on his ten-year experience teaching web-enhanced classes, distance learning classrooms, and fully online courses, Savery devised a set of recommendations for instructors  ... 
arXiv:2204.03405v1 fatcat:jea6oksyzffk3bhw6dsjv7nx5u

Knowledge Based Recommender System for Academia Using Machine Learning: A Case Study on Higher Education Landscape of Pakistan

Huma Samin, Tayyaba Azim
2019 IEEE Access  
Collaborative filtering and content-based recommender systems have already been in use by the industry for recommending things, such as movies, news, restaurants, and shopping items to the users, and however  ...  This paper presents a case study showcasing the use of probabilistic topic models for generating recommendations to users in academia through appropriate course allocation and supervisor assignment.  ...  from web in order to recommend documents on a given topic.  ... 
doi:10.1109/access.2019.2912012 fatcat:ahqksosgjzdkfm7r2omoq7nn7q

Towards a Semantic Graph-based Recommender System. A Case Study of Cultural Heritage

Sara Qassimi, El Hassan Abdelwahed
2021 Journal of universal computer science (Online)  
With the advent of the social web, the cultural heritage area is affected by the problem of information overload.  ...  Indeed, a large number of available resources have emerged coming from the social information systems (SocIS). Therefore, visitors are swamped with enormous choices in their visited cities.  ...  In the case study, The resources describe cultural heritage places.  ... 
doi:10.3897/jucs.70330 fatcat:7m7h5whp4jhvzatit5hbd6hdu4

Recommendation and Students' Authoring in Repositories of Learning Objects: A Case-Based Reasoning Approach

Mercedes Gomez-Albarran, Guillermo Jimenez-Diaz
2009 International Journal of Emerging Technologies in Learning (iJET)  
This paper presents a Case-Based Reasoning approach for the personalized recommendation and the students' authoring tasks in on-line repositories of Learning Objects (LOs).  ...  The recommender combines content-based filtering techniques together with collaborative filtering mechanisms.  ...  In this paper, we describe a Case-Based Reasoning (CBR) approach for recommending LOs that exist in educational repositories.  ... 
doi:10.3991/ijet.v4s1.797 fatcat:idhtwu3as5ajhdn4w7jsg3xdra
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