Discovering product feature and affective associations through collaborative tagging

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.

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

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.945-949.3004 ◽

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.

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