Context-Based Adaptive Personalized Web Search for Improving Information Retrieval Effectiveness

Pan, Xuwei; Wang, Zhengcheng; Gu, Xiaolei

doi:10.1109/wicom.2007.1329

Cited by 23 publications

(8 citation statements)

References 4 publications

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“…It works on each user's need in different situations by using a process of a context-based adaptive personalized search. Then, it uses three technologies semantic indexing for web resources, modeling and acquiring user context and semantic similarity matching between web resources and user context [3].…”

Section: Existing Workmentioning

confidence: 99%

Content and Location based Information Retrieval System

Swathi¹,

Seethalakshmi²

2014

IJCA

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Personalized Web search is an effective means of providing precise results to different users when they submit the same query. As the amount of web information grows rapidly an efficient personalization approach that modifies the appearance of a website's content to satisfy a specific user's instructions or preferences is required. It is also essential to keep track of the change of interest of the user from time to time. An approach which involves a concept based user profiling strategy, along with the click-through data and keyword-based search, is developed. Concepts are split into content and location concepts and are maintained separately for monitoring the gradual transition in the interest of a user over the time. The user's interest is captured from the clickthrough information. Depending upon the links clicked and the concepts returned users' information access behavior is analyzed and re-ranking is performed to obtain the relevant results.

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Section: Existing Workmentioning

confidence: 99%

Content and Location based Information Retrieval System

Swathi¹,

Seethalakshmi²

2014

IJCA

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“…Relevance may be defined as a criterion reflecting the effectiveness of exchange of information between people (or between people and objects) in communication relation, all within a context". Three main relevancies in context-aware systems are identical relevancy, spatial relevancy and temporal relevancy [10,42]. Among these relevancies, the current position -'the here' -is usually the centre of action, perception and attention.…”

Section: Spatio-temporal Relevancy In Context-aware Systemsmentioning

confidence: 99%

“…Among these relevancies, the current position -'the here' -is usually the centre of action, perception and attention. The identical information may be fully relevant at one position but irrelevant at another position [6,8,17,37,42]. Thus, the spatial relevancy is a parameter which has a fundamental role to provide context-aware services [4,6].…”

Section: Spatio-temporal Relevancy In Context-aware Systemsmentioning

confidence: 99%

Modelling Spatio-Temporal Relevancy in Urban Context-Aware Pervasive Systems Using Voronoi Continuous Range Query and Multi-Interval Algebra

Samany‬

Delavar

Chrisman

et al. 2013

Mobile Information Systems

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Abstract. Space and time are two dominant factors in context-aware pervasive systems which determine whether an entity is related to the moving user or not. This paper specifically addresses the use of spatio-temporal relations for detecting spatiotemporally relevant contexts to the user. The main contribution of this work is that the proposed model is sensitive to the velocity and direction of the user and applies customized Multi Interval Algebra (MIA) with Voronoi Continuous Range Query (VCRQ) to introduce spatio-temporally relevant contexts according to their arrangement in space. In this implementation the Spatio-Temporal Relevancy Model for Context-Aware Systems (STRMCAS) helps the tourist to find his/her preferred areas that are spatio-temporally relevant. The experimental results in a scenario of tourist navigation are evaluated with respect to the accuracy of the model, performance time and satisfaction of users in 30 iterations of the algorithm. The evaluation process demonstrated the efficiency of the model in real-world applications.

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“…A detailed description of the data structure is available in [13]. Figure 1 shows the ontology metamodel represented by a E-R diagram.…”

Section: Webmlmentioning

confidence: 99%

“…These primitives provide the designer with a simplified highlevel access to the ontological content [13]. The new primitives are: Subsume and Plugin units for retrieving the more generic/specific concepts/relations of a given one respectively; Exact unit for retrieving the more specific concept/relation among two or more; Subsume attributes/parameters unit for retrieving the inherited attributes of a concept; Export/Import Ontology units for elaborating the internal relational representation of an ontology to/from its WSML format.…”

Section: Figure 2 Concept Page Webml Hypertext Modelmentioning

confidence: 99%