Conference Paper

A Hybrid Approach of Personalized Web Information Retrieval.

MNIT, Jaipur, India
DOI: 10.1109/WI-IAT.2010.270 Conference: 2010 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2010, Toronto, Canada, August 31 - September 3, 2010, Main Conference Proceedings
Source: DBLP

ABSTRACT

This paper proposes a hybrid approach of personalized Web Information Retrieval that utilizes (1) ontology for retrieval of user's context (2) user profile that is temporarily updated according to users' browsing behavior and (3) collaborative filtering for considering recommendation of similar users. Empirical analysis reveals that Precision, Recall and F-Score of most of the queries for many users are improved with using the proposed method.

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    • "MAR=0.8[6] MAF=0.63[6] Web Search Personalization Based on Browsing History by Artificial Immune System [WSPBHAIS] Vector WordNet X X Relevance 0.75[10] Evaluating the Effectiveness of Personalized Web Search [EEPWS] Vector X X X 0.89 [11] 0.22 [11] Improving Web Search by Categorization, Clustering, and Personalization [IWSCCP] Vector ODP X X 0.53 [12] 0.57 [12] Architecture of personalized web search engine Using suffix tree clustering [APWSSTC] X X X X 0.66 [28] 0.62 [28] A Novel Page Ranking algorithm for Personalize Web Search [ANPRPWS] Vector WordNet X X 8-18 [4] 0.5 [4] Query Expansion Based on a Personalized Web Search Model [QEPWSM] Vector User defined category X 0.80 [13] "

    Full-text · Conference Paper · Mar 2015
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    • "The study of the web information retrieval have generally been done on the repository system which organize of centralized resources, such as personalization of preferences and navigation behavior in [2], personalization of browsing behavior and collaborative filtering in [3], and the use of world knowledge base in [4]. However, resource organizers that are personal and local as in [5] have not been exploited further. "
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