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Using social annotations to enhance document representation for personalized search

Mohamed Reda BOUADJENEK, Hakim Hacid, Mokrane Bouzeghoub, Athena Vakali
2013 Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval - SIGIR '13  
The PS-DRs are used to rank documents with respect to a query. This approach has been intensively evaluated on a large public dataset, showing significant benefits for personalized search.  ...  We propose an approach that computes on the fly, a Personalized Social Document Representation (PSDR) of each document per user based on his social activities.  ...  We proposed a Personalized Social Document Representation approach, an attempt to use social information to enhance and improve documents for users.  ... 
doi:10.1145/2484028.2484130 dblp:conf/sigir/BouadjenekHBV13 fatcat:gznyxh3ponbf7ehx7tc3fscvcy

Sopra

Mohamed Reda Bouadjenek, Hakim Hacid, Mokrane Bouzeghoub
2013 Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval - SIGIR '13  
The evaluation performed on our approach shows its benefits for personalized search.  ...  Currently, our approach relies on folksonomies for extracting these social contexts, but it can be extended to use any social meta-data, e.g. comments, ratings, tweets, etc.  ...  We proposed a new documents ranking function called SoPRa, which uses social information to enhance and improve web search.  ... 
doi:10.1145/2484028.2484131 dblp:conf/sigir/BouadjenekHB13 fatcat:2irunbigi5dfhec557nvr4ef6a

Enhanced Personalized Search using Social Data

Dong Zhou, Séamus Lawless, Xuan Wu, Wenyu Zhao, Jianxun Liu
2016 Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing  
Our web search strategy is achieved using personalized social query expansion. We introduce a topical query expansion model to enhance the search by utilizing individual user profiles.  ...  We present two probabilistic latent topic models to simultaneously incorporate social annotations, documents and the external knowledge base.  ...  ., 2013b) propose to use social data and user relationships to enhance document representation for re-ranking purposes.  ... 
doi:10.18653/v1/d16-1067 dblp:conf/emnlp/ZhouLWZL16 fatcat:zhpuegmnqvb6xk3ggsj4pymeg4

Inferring user intent in web search by exploiting social annotations

Jose M. Conde, David Vallet, Pablo Castells
2010 Proceeding of the 33rd international ACM SIGIR conference on Research and development in information retrieval - SIGIR '10  
We present a number of result re-ranking techniques based on this representation that can be applied to any Web search engine.  ...  We perform a user experiment the results of which indicate that this type of representation is better at context extraction than using the actual textual content of the document.  ...  We then use this context representation to re-rank the results of the Web search system.  ... 
doi:10.1145/1835449.1835636 dblp:conf/sigir/CondeVC10 fatcat:fv7swm57drdv5lyowkte66rnde

Query Extension with Improved User Profiles for User tailored Search taking Advantage over Folksonomy Data

Mohammed Zubair Ali Khan
2018 International Journal for Research in Applied Science and Engineering Technology  
However, user profiles that solely contain a user's past annotation data might not be enough to support the choice of growth terms, particularly for users with restricted previous activity with the system  ...  . we have a tendency to propose a unique model to construct enriched user profiles with the assistance of associate external corpus for customized question growth.  ...  folksonomy for personalized search.  ... 
doi:10.22214/ijraset.2018.6110 fatcat:nxvd2uqm7vgdtggmjqmuoxl37e

Social networks and information retrieval, how are they converging? A survey, a taxonomy and an analysis of social information retrieval approaches and platforms

Mohamed Reda Bouadjenek, Hakim Hacid, Mokrane Bouzeghoub
2016 Information Systems  
This is mainly done by enhancing the IR process with information coming from social networks, a process called Social Information Retrieval (SIR).  ...  The main question one might ask is What would be the benefits of using social information (no matter whether it is content or structure) into the information retrieval process and how is this currently  ...  [46] propose a framework to enhance document representation using social annotations.  ... 
doi:10.1016/j.is.2015.07.008 fatcat:letbaw4pwbbvvbyvumjirlwjdq

Social Search [chapter]

Peter Brusilovsky, Barry Smyth, Bracha Shapira
2018 Lecture Notes in Computer Science  
In this chapter, we review recent research that aims to make search a more social activity by combining readily available social signals with various strategies for using these signals to influence or  ...  For more information, please see the item record link above. Abstract. Today, most people find what they are looking for online by using search engines such as Google, Bing, or Baidu.  ...  As early as in 2007, two seminal papers [21, 150] proposed social search engines that used social annotations, accumulated by Del.icio.us, to build enhanced document representations and offer better  ... 
doi:10.1007/978-3-319-90092-6_7 fatcat:ro6hjgwhgvgwrncakrpfv5brye

Exploiting Social Annotations for Personalizing Retrieval

Eman Sayed, Abeer Korany, Akram Salah, Hesham Hefny
2017 International Journal of Intelligent Engineering and Systems  
This may be due to the huge number of web resources, and unidentified user's interests and domain. This paper proposes exploiting social annotations for improving retrieval based on personalization.  ...  Continually, search engines improve their capabilities toward facilitating search and the retrieval enhancement.  ...  So, it uses social annotation for improving IR by adding personalization level.  ... 
doi:10.22266/ijies2017.1231.21 fatcat:25wha56rlnaujippisqsen6cvi

Personalized diversification of search results

David Vallet, Pablo Castells
2012 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval - SIGIR '12  
Search personalization and diversification are often seen as opposing alternatives to cope with query uncertainty, where, given an ambiguous query, it is either preferable to adapt the search result to  ...  In order to evaluate our hypothesis, we conduct an evaluation with real users using crowdsourcing services.  ...  In our work, we exploit social annotation profiles in order to apply personalization factors related to a Web search.  ... 
doi:10.1145/2348283.2348396 dblp:conf/sigir/ValletC12 fatcat:je35qce2urajrdvc6lbdr2afu4

Web Search Personalization Using Social Data [chapter]

Dong Zhou, Séamus Lawless, Vincent Wade
2012 Lecture Notes in Computer Science  
This paper proposes an Iterative Personalized Query Expansion Algorithm for Web Search (iPAW), which is based on individual user profiles mined from the annotations and resources the user has marked.  ...  The method also incorporates a user model constructed from a cooccurrence matrix and from a Tag-Topic model where annotations and web documents are connected in a latent graph.  ...  This research is supported by the Science Foundation Ireland (Grant 07/CE/I1142) as part of the Centre for Next Generation Localisation (www.cngl.ie) at Trinity College Dublin.  ... 
doi:10.1007/978-3-642-33290-6_32 fatcat:bb5f3i672bhg3lnw5m4myasuou

Getting the most out of social annotations for web page classification

Arkaitz Zubiaga, Raquel Martínez, Víctor Fresno
2009 Proceedings of the 9th ACM symposium on Document engineering - DocEng '09  
User-generated annotations on social bookmarking sites can provide interesting and promising metadata for web document management tasks like web page classification.  ...  In this work, we analyze and evaluate the usefulness of each of these social annotations to classify web pages over a taxonomy like that proposed by the Open Directory Project.  ...  ACKNOWLEDGMENTS We wish to thank the anonymous reviewers for their helpful and instructive comments.  ... 
doi:10.1145/1600193.1600211 dblp:conf/doceng/ZubiagaMF09 fatcat:fo2v2elepnaabcrki63sbgiiwi

Evaluating tag filtering techniques for web resource classification in folksonomies

Nicolás Tourné, Daniela Godoy
2012 Expert systems with applications  
Furthermore, the use of several filtering and pre-processing operations to re- * Corresponding author  ...  In sites such as Del.icio.us, Technorati or Flickr, users annotate a variety of resources, including Web pages, blogs, pictures, videos or bibliographic references; using freely chosen textual labels or  ...  Particularly, the dataset compile several views of the documents: social annotations provided by readers of Web pages, hyperlink anchor text provided by authors of these documents, and search queries of  ... 
doi:10.1016/j.eswa.2012.02.088 fatcat:65rljaap5vdttd4clegggsyl3i

A data model and a cataloguing, storage and retrieval system for ancient document archives

Pasquale Savino, Anna Tonazzini, Franca Debole
2019 International Journal of Information Science and Technology  
The archive will offer the possibility of describing, storing and accessing all the available manuscript versions, document transcriptions and annotations, and to search and retrieve documents based on  ...  This opens many new opportunities for the diffusion of these precious cultural assets, since several scholars and researchers, as well as the general public, may access and use them for research purposes  ...  ) search for documents and document parts containing a given list of terms, c) search for documents where the text contains a certain lexeme, and d) search for documents annotated by a certain expert.  ... 
doaj:7e4deab44f134eed876eb7e7aac1d8d5 fatcat:xzncvpqlonamxnh2t4trpzuhfe

Adaptive Navigation through Semantic Annotations and Service Descriptions

Ruben Verborgh
2013 International Semantic Web Conference  
Therefore, the most relevant links for a user might be omitted, severely limiting the applicability of hypertext.  ...  However, it is the user who needs those links to navigate-and the publisher cannot know how any user might want to interact with the information.  ...  Acknowledgements The described research activities were funded by Ghent University, the Institute for the Promotion of Innovation by Science and Technology in Flanders (iwt), the Fund for Scientific Research  ... 
dblp:conf/semweb/Verborgh13 fatcat:lqy5lmiq5ndvzbktrhj6tusgam

Personalizing Web Search with Folksonomy-Based User and Document Profiles [chapter]

David Vallet, Iván Cantador, Joemon M. Jose
2010 Lecture Notes in Computer Science  
Web search personalization aims to adapt search results to a user based on his tastes, interests and needs.  ...  number of novel techniques that exploit the users' social tags to re-rank results obtained with a Web search engine.  ...  We thus opted for a query size of 3 in order to emulate a user using a Web search system, and to evaluate if user profiles obtained from the social tagging actions of the users could be successfully exploited  ... 
doi:10.1007/978-3-642-12275-0_37 fatcat:fz4ihrs6yre2vhzbxfkqlj5zqa
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