scholarly journals Collaborative Tagging as a Tripartite Network

2006 ◽  
pp. 1114-1117 ◽  
Author(s):  
Renaud Lambiotte ◽  
Marcel Ausloos
Keyword(s):  
Collaborative Tagging

SOAF: Semantic Indexing System Based on Collaborative Tagging

10.28945/371 ◽  
2008 ◽  
Vol 4 ◽  
pp. 137-149 ◽  
Author(s):  
Doina Ana Cernea ◽  
Esther Del Moral-Pérez ◽  
Jose E. Labra Gayo
Keyword(s):  
Semantic Indexing ◽  
Collaborative Tagging ◽  
Indexing System

A method of query expansion based on topic models and user profile for search in folksonomy

2021 ◽  
pp. 1-11
Author(s):  
Zhinan Gou ◽  
Yan Li
Keyword(s):  
Information Retrieval ◽  
Query Expansion ◽  
Information Overload ◽  
Topic Model ◽  
User Profile ◽  
Expansion Method ◽  
Collaborative Tagging ◽  
Search Query ◽  
Tagging System ◽  
The Web

With the development of the web 2.0 communities, information retrieval has been widely applied based on the collaborative tagging system. However, a user issues a query that is often a brief query with only one or two keywords, which leads to a series of problems like inaccurate query words, information overload and information disorientation. The query expansion addresses this issue by reformulating each search query with additional words. By analyzing the limitation of existing query expansion methods in folksonomy, this paper proposes a novel query expansion method, based on user profile and topic model, for search in folksonomy. In detail, topic model is constructed by variational antoencoder with Word2Vec firstly. Then, query expansion is conducted by user profile and topic model. Finally, the proposed method is evaluated by a real dataset. Evaluation results show that the proposed method outperforms the baseline methods.

The Research on the Characteristics and the Construction of Collaboration Design Platform in Industry Cluster

2014 ◽  
Vol 945-949 ◽  
pp. 3004-3007
Author(s):  
Yu Cui ◽  
Qing Wang ◽  
Huie Guo ◽  
Ying Wang ◽  
Hao Jiao
Keyword(s):  
Economic Growth ◽  
Collaborative Inquiry ◽  
Synergy Effect ◽  
Research Projects ◽  
Collaborative Tagging ◽  
Asynchronous Mode ◽  
Industry Cluster ◽  
Temporal Characteristics ◽  
Synchronous Mode ◽  
Research Programs

From the perspective of the synergy effect, the paper discusses how to construct the industry cluster collaboration design platform. As is known, the concept of industry cluster collaboration platform has been paid great attention with the economic growth, which has become a national leading research programs and key research projects in various provinces and cities. Therefore, it is very necessary to build industry cluster collaboration design platform. In this paper, the construction mechanism of industry cluster collaboration design platform is divided into collaborative session, collaborative browsing, collaborative text editing, collaborative tagging and collaborative inquiry. In detail, the policy should adopt the temporal characteristics, including remote synchronous mode, remote asynchronous mode, synchronous model and asynchronous model.

scholarly journals Annotations, Collaborative Tagging, and Searching Mathematics in E-Learning

2011 ◽  
Vol 2 (4) ◽  
Author(s):  
Iyad Abu ◽  
Faisal Alkhateeb ◽  
Eslam Al ◽  
Izzat Alsmadi ◽  
Samer Samarah
Keyword(s):  
Collaborative Tagging ◽  
E Learning

Multiple Interests of Users in Collaborative Tagging Systems

2009 ◽  
pp. 255-274 ◽  
Author(s):  
Ching-man Au Yeung ◽  
Nicholas Gibbins ◽  
Nigel Shadbolt
Keyword(s):  
Collaborative Tagging

Exploiting Collaborative Tagging Systems to Unveil the User-Experience of Web Contents

2011 ◽  
pp. 1374-1387
Author(s):  
A. Malizia ◽  
A De Angeli ◽  
S. Levialdi ◽  
I. Aedo Cuevas
Keyword(s):  
User Experience ◽  
Web Sites ◽  
User Satisfaction ◽  
Web Site ◽  
Collaborative Tagging ◽  
Computational Tool ◽  
Web Contents ◽  
Site Evaluation ◽  
Potential Use ◽  
Traditional Evaluation

The User Experience (UX) is a crucial factor for designing and enhancing the user satisfaction when interacting with a computational tool or with a system. Thus, measuring the UX can be very effective when designing or updating a Web site. Currently, there are many Web sites that rely on collaborative tagging: such systems allow users to add labels (tags) for categorizing contents. In this chapter the authors present a set of techniques for detecting the user experience through Collaborative Tagging Systems and we present an example on how to apply the approach for a Web site evaluation. This chapter highlights the potential use of collaborative tagging systems for measuring users’ satisfaction and discusses the future implications of this approach as compared to traditional evaluation tools, such as questionnaires, or interviews.

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