Personalized ontology for web search personalization

Sendhilkumar, S.; Geetha, T. V.

doi:10.1145/1341771.1341790

Cited by 22 publications

(23 citation statements)

References 9 publications

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“…In [10] the authors have defined a Web system which aims to improve the quality of a user's search on the Web. The objective is obtained by personalizing a Web search according to the user's interests.…”

Section: Approaches Defined To Re-rank the Search Results Based On Thmentioning

confidence: 99%

“…We analyze works where a Web page is considered relevant based on an analysis of actions performed by a user on it. In the considered approaches (i.e., [10,21,[61][62][63]) the usual actions taken into account for selecting the preferred Web pages are: the frequency of the visits to a page, the time spent on a page, bookmarking or saving a page, etc. The relevant concepts are then extracted from the preferred Web pages and linked together with the support of external knowledge, such as the ODP.…”

Section: The Use Of Personalized Ontologies For Re-ranking Search Resmentioning

confidence: 99%

“…Considered User's Actions Personal Ontology [10,21,[61][62][63] frequency of the visits to a page, based on the ODP time spent on a page, saving a page, etc. [9] past user's queries based on the ODP [64] selection of terms from the ODP based on the ODP [13] past user's queries, based on the ODP the preferred documents and interests explicitly declared.…”

Section: Referencementioning

confidence: 99%

“…These different strategies can be jointly used in order to obtain a personalized ontology. In the first case the words written in the user's queries are stored over time into query log files (past queries) to discover associations between terms [9,10]. In this field, one of the pioneer works is the one proposed by Silverstein et al [11].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Ontology-Based Information Behaviour to Improve Web Search

Calegari

Pasi

2010

Future Internet

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Web Search Engines provide a huge number of answers in response to a user query, many of which are not relevant, whereas some of the most relevant ones may not be found. In the literature several approaches have been proposed in order to help a user to find the information relevant to his/her real needs on the Web. To achieve this goal the individual Information Behavior can been analyzed to 'keep' track of the user's interests. Keeping information is a type of Information Behavior, and in several works researchers have referred to it as the study on what people do during a search on the Web. Generally, the user's actions (e.g., how the user moves from one Web page to another, or her/his download of a document, etc.) are recorded in Web logs. This paper reports on research activities which aim to exploit the information extracted from Web logs (or query logs) in personalized user ontologies, with the objective to support the user in the process of discovering Web information relevant to her/his information needs. Personalized ontologies are used to improve the quality of Web search by applying two main techniques: query reformulation and re-ranking of query evaluation results. In this paper we analyze various methodologies presented in the literature aimed at using personalized ontologies, defined on the basis of the observation of Information Behaviour to help the user in finding relevant information.

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Section: Approaches Defined To Re-rank the Search Results Based On Thmentioning

confidence: 99%

Section: The Use Of Personalized Ontologies For Re-ranking Search Resmentioning

confidence: 99%

Section: Referencementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Ontology-Based Information Behaviour to Improve Web Search

Calegari

Pasi

2010

Future Internet

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show abstract

“…On top of these, users can share ontologies with others and the list of pages visited by users can be saved as navigational histories in RDF [6] or OWL [7]. The saved ontology can serve as a personalized ontology that can be utilized for web search personalization [29].…”

Section: Introductionmentioning

confidence: 99%

Accessing Information Sources using Ontologies

Sun

Jung

Hwang

et al. 2011

INT J COMPUT COMMUN

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Abstract:In this paper, we present a system that helps users access various types of information sources using ontologies. An ontology consists of a set of concepts and their relationships in a domain of interests. The system analyzes an ontology provided by a user so that the user can search and browse PubMed [5], and the Web by utilizing the information in the ontology. In particular, terms defined in the ontology are mapped to Wikipedia pages and the navigation history of a user is saved so that it can serve as a personalized ontology. In addition, users can create and edit ontologies using the proposed system. We show that the proposed system can be used in an educational environment.

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Personalization in text information retrieval: A survey

Liu

Belkin

2019

Asso for Info Science & Tech

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Personalization of information retrieval (PIR) is aimed at tailoring a search toward individual users and user groups by taking account of additional information about users besides their queries. In the past two decades or so, PIR has received extensive attention in both academia and industry. This article surveys the literature of personalization in text retrieval, following a framework for aspects or factors that can be used for personalization. The framework consists of additional information about users that can be explicitly obtained by asking users for their preferences, or implicitly inferred from users' search behaviors. Users' characteristics and contextual factors such as tasks, time, location, etc., can be helpful for personalization. This article also addresses various issues including when to personalize, the evaluation of PIR, privacy, usability, etc. Based on the extensive review, challenges are discussed and directions for future effort are suggested.

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Personalized ontology for web search personalization

Cited by 22 publications

References 9 publications

Ontology-Based Information Behaviour to Improve Web Search

Ontology-Based Information Behaviour to Improve Web Search

Accessing Information Sources using Ontologies

Personalization in text information retrieval: A survey

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