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Learning Implicit User Interests Using Ontology and Search History for Personalization [chapter]

Mariam Daoud, Lynda Tamine, Mohand Boughanem, Bilal Chebaro
Web Information Systems Engineering – WISE 2007 Workshops  
In this paper, we present an enhanced approach for learning a semantic representation of the underlying user's interests using the search history and a predefined ontology.  ...  The basic idea is to learn the user's interests by collecting evidence from his search history and represent them conceptually using the concept hierarchy of the ontology.  ...  We exploit in our approach both of the search history and the ODP ontology to learn the long term user's interests at the time the user conducts a search.  ... 
doi:10.1007/978-3-540-77010-7_31 dblp:conf/wise/DaoudTBC07 fatcat:whybosum6zasbemls2htdsq2aa

A Survey on Techniques for Personalization of Web Search

Himani Arya, Jaytrilok Choudhary, Deepak Singh Tomar
2014 International Journal of Computer Applications  
The approaches include hybrid profiling, personalized click model, ontology based user profiles and fuzzy theory for personalization.  ...  The quality of web search results depends on the information needs of the user and the searching techniques employed in the web search systems.  ...  Implicit methods for creating an ontological user profiles are used as user's interests changes over time. For the evaluation of personal ontology annotations like an interest score, are utilised.  ... 
doi:10.5120/16462-6192 fatcat:ijxlouyavvaqhcvepu6doe4aqi

Ontology-Based User Profiling for Personalized Acces to Information within Collaborative Learning System

Mohammed Amine Alimam, Yasyn Elyusufi, Hamid Seghiouer
2014 International Journal of Euro-Mediterranean Studies  
We use the context of the user query into a prediction mechanism of the search type, based on a previous identification of users' levels and interests.  ...  and constructing semantic users' profiles.  ...  Secondly, concept-based user profiling methods aim at classifying users browsed documents and search histories to a set of topical categories.  ... 
doaj:35903f37cc714b35b3a5ccab2d346c84 fatcat:cfa2czehifdrrautzwtw6kpju4

Review and Analysis of Machine Learning and Soft Computing Approaches for User Modeling

Madhuri Potey, Pradeep K Sinha
2015 International journal of Web & Semantic Technology  
Machine learning and Soft computing Techniques have the ability to handle the uncertainty and are extensively being used for user modeling purpose.  ...  This paper reviews various approaches of user modeling and critically analyzes the machine learning and soft computing techniques that have successfully captured and formally modelled the human behavior  ...  ACKNOWLEDGEMENTS The authors are deeply indebted to all the researchers in the field and anonymous reviewers for their useful comments.  ... 
doi:10.5121/ijwest.2015.6104 fatcat:q43eezsnr5epredqr7xuhid3i4

Personalize Web Searching Strategies Classification and Comparison

Mariya Savova Evtimova, Ivan Momtchilov Momtchev
2016 Journal of Communication and Computer  
In this paper, a classification of web personalization is proposed and semantic web search tools are investigated. Building user interest profile is essential for personalizing.  ...  Nowadays, semantic web tools use ontologies for personalization because of their advantages.  ...  with use interests Use ontology to avoid cold start problem and information over load; semantic similarity A ontological user modeling and semantic rule-based reasoning for personalization of help-on-demand  ... 
doi:10.17265/1548-7709/2016.01.003 fatcat:ykrwd7zyljawbiqwy4hidxlq2y

An approach for selecting seed URLs of focused crawler based on user-interest ontology

YaJun Du, YuFeng Hai, ChunZhi Xie, XiaoMing Wang
2014 Applied Soft Computing  
Creating user Interest Ontology In this module user interest ontology is created by using the user history query logs.  ...  By using concept lattice merger, construct the user-interest ontology which can describe the implicit concepts and relationships between them more appropriately for semantic representation and query match  ...  When a user submits his query topics to our Personalized Intelligence Search Engine (PISE), the PISE expands user query topics by user-interest ontology and calls other general search engines, such as  ... 
doi:10.1016/j.asoc.2013.09.007 fatcat:oigcgs4fx5fdniqrucqtsayufm

Towards personalization in digital libraries through ontologies

Núria Ferran, Enric Mor, Julià Minguillón, Militiadis Lytras
2005 Library Management  
In this paper we describe a browsing and searching personalization system for digital libraries based on the use of ontologies for describing the relationships between all the elements which take part  ...  , using ontologies and concepts drawn from the semantic web field.  ...  history and behavior records, which will be used altogether with the personal information by the personalization system to build the set of recommendations that will help each user in browsing and searching  ... 
doi:10.1108/01435120510596062 fatcat:6aywvlwjwfdg3frulkd62ioe3m

Recommended system of personalized corporate e-learning based on ontologies

Lyudmila Nikitina, Pavel Shikov, Yuriy Shikov, Anna Bakanova, Aleksey Shikov, A. Mottaeva, B. Melović
2018 MATEC Web of Conferences  
Corporate e-learning is becoming general, the use of electronic learning systems is constantly expanding.  ...  Thus, new systems are needed that can effectively recommend the necessary educational material for users on the basis of their preferences.  ...  Thus, a new model of ontological search for similar cases is presented, based on the text of the prioritization of artifacts for the selected topic and a specific business problem.  ... 
doi:10.1051/matecconf/201819305074 fatcat:5vebtxso4jggll5el3rjkpdy3m

Contextual relevance feedback in web information retrieval

Dilip Kumar Limbu, Andy Connor, Russel Pears, Stephen MacDonell
2006 Proceedings of the 1st international conference on Information interaction in context - IIiX  
Our approach utilises a rich contextual model that exploits a user's implicit and explicit data. Each user's implicit data are gathered from their Internet search histories on their local machine.  ...  This data is later used by our approach to modify queries to more accurately reflect the user's interests as well as to continually build the user's contextual profile and a shared contextual knowledge  ...  s WebMate [13] learns and keeps track of user interests incrementally and with continuous update, it automatically provides documents that match the user interests.  ... 
doi:10.1145/1164820.1164848 dblp:conf/iiix/LimbuCPM06 fatcat:vd4jw2yzfzc5ln5x3xwghbayji

Search personalization through query and page topical analysis

Sofia Stamou, Alexandros Ntoulas
2008 User modeling and user-adapted interaction  
First the search engines need to be able to effectively identify the user interests and build a profile for every individual user.  ...  Since the users may have diverse backgrounds and may have different expectations for a given query, some search engines try to personalize their results to better match the overall interests of an individual  ...  ontology for personalizing web search.  ... 
doi:10.1007/s11257-008-9056-y fatcat:kconehf3j5asrpurz6nmexjwsm

Semantic Learning Service Personalized

Yibo Chen, Chanle Wu, Xiaojun Guo, Jiyan Wu
2012 International Journal of Computational Intelligence Systems  
Current e-Learning systems search for learning resources using information search technology, based on the keywords that selected or inputted by the user.  ...  Moreover, we made full use of semantic technology, using ontologies to represent the learning contents and user profile, mining and utilizing the friendship and membership of the social relationship to  ...  Google Personalized Search builds a user profile by means of implicit feedback where the system adapts the results according to the search history of the user.  ... 
doi:10.1080/18756891.2012.670528 fatcat:k7q675hu7ba53p33lwlc2qh6pu

Multi Agent Architecture for Search Engine

Disha Verma, Barjesh Kochar
2016 International Journal of Advanced Computer Science and Applications  
Personalized search allows delivering web pages in accordance with user's interest and domain.  ...  Multi agent search engine architecture uses the concept of semantic descriptors for acquiring knowledge about given domain and leading to personalized search results.  ...  LITERATURE Various studies have been conducted and results are deduced regarding personalized view of search engines as follows: Gauch, & Chaffee [1] captured user interest by browsing their history  ... 
doi:10.14569/ijacsa.2016.070332 fatcat:qt3vpiv7czbj7ke4djr6x2enqe

Agent Based Personalized Semantc Web Information Retrieval System

Dr.M. Thangaraj, Mrs.Mchamundeeswari
2014 International Journal of Advanced Computer Science and Applications  
The goal of personalized search is to search results to a particular user based on the user's interests and preferences.  ...  The results are re-ranked and optimized for providing the relevant links. Based on the user's information access behavior, an ontological profile is created, which is also used for personalization.  ...  When matching, Semantic Matching will make use of users personalize information (users' interest behavior and search history) to match and search more accurate and useful information for users.  ... 
doi:10.14569/ijacsa.2014.050816 fatcat:5x72dnrb2rellmh4s4k2g35vvq

A Semantic Recommendation System for Learning Personalization in Massive Open Online Courses

Sara Assami, Najima Daoudi, Rachida Ajhoun
2020 International Journal of Recent Contributions from Engineering, Science & IT  
Nevertheless, the rapid advances in learning technologies imply the need for personalized guidance for learners and adapted learning materials.  ...  Then it describes the proposed MOOC recommendation system that uses the ontological representation of the learner model and MOOCs content to make its intelligent suggestions.  ...  Domain ontologies used for knowledge modeling (learner ontology, content ontology and computer science ontology) [14] A System for personalized search and delivery of learning objects to learners (PSDLO  ... 
doi:10.3991/ijes.v8i1.14229 fatcat:4mqwiix5ozea7iunkoxaxwaaya

Study on Agricultural Information Push Technology Based on User Interest Model [chapter]

Xiaorong Yang, Qingtian Zeng, Nengfu Xie, Lihua Jiang
2013 IFIP Advances in Information and Communication Technology  
The result of experiment proved the user interest modeling method can express a user's interest in agricultural information better. The intelligently and personalization of the system are improved.  ...  The value of user interest measure can be obtained by counting the frequency of information accesses.  ...  The work is supported by the special fund project for Basic Science Research Business Fee "The demonstration of Tibet agricultural information personalized service system", AII (No. 2012-J-08).  ... 
doi:10.1007/978-3-642-36124-1_22 fatcat:fymmvtdvnzckbmlevozmz75ucy
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