Use of Microblog Behavior Data in a Language Modeling Framework to Enhance Web Search Personalization

Diversity in users’ information needs has been effectively dealt with through personalized Web search systems whereby a user’s interests and preferences are taken into account within the retrieval model. A significant component of any Web search personalization model is the means with which to model a user’s interests and preferences to build what is termed as a user profile. This work explores the use of the Twitter microblog network as a source of user profile construction for Web search personalization. We propose a statistical language modeling approach taking into account various aspects of a user’s behavior on the Twitter network (such as Twitterers followed, mentioned and retweeted). The model also incorporates network and topical similarity measures which enables the model to be a better representation of the user’s profile. The richness of the Web search personalization model leads to significant performance improvements in retrieval accuracy.

[1]  Wei Chu,et al.  Enhancing personalized search by mining and modeling task behavior , 2013, WWW.

[2]  Christoph Meinel,et al.  Web Search Personalization Via Social Bookmarking and Tagging , 2007, ISWC/ASWC.

[3]  Ji-Rong Wen,et al.  WWW 2007 / Track: Search Session: Personalization A Largescale Evaluation and Analysis of Personalized Search Strategies ABSTRACT , 2022 .

[4]  Joemon M. Jose,et al.  Personalizing Web Search with Folksonomy-Based User and Document Profiles , 2010, ECIR.

[5]  Ido Guy,et al.  Personalized social search based on the user's social network , 2009, CIKM.

[6]  Mohand Boughanem,et al.  A session based personalized search using an ontological user profile , 2009, SAC '09.

[7]  Yiming Yang,et al.  CiteData: a new multi-faceted dataset for evaluating personalized search performance , 2010, CIKM.

[8]  Ryen W. White,et al.  Probabilistic models for personalizing web search , 2012, WSDM '12.

[9]  Hongfei Yan,et al.  Comparing Twitter and Traditional Media Using Topic Models , 2011, ECIR.

[10]  ChengXiang Zhai,et al.  A session-based search engine , 2004, SIGIR '04.

[11]  Danah Boyd,et al.  Tweet, Tweet, Retweet: Conversational Aspects of Retweeting on Twitter , 2010, 2010 43rd Hawaii International Conference on System Sciences.

[12]  Hongxia Jin,et al.  Exploring online social activities for adaptive search personalization , 2010, CIKM.

[13]  Gabriella Pasi,et al.  A Language Modeling Approach to Personalized Search Based on Users' Microblog Behavior , 2014, ECIR.

[14]  Susan T. Dumais,et al.  Personalizing Search via Automated Analysis of Interests and Activities , 2005, SIGIR.

[15]  ChengXiang Zhai,et al.  Mining long-term search history to improve search accuracy , 2006, KDD '06.

[16]  Filip Radlinski,et al.  Personalizing web search using long term browsing history , 2011, WSDM '11.

[17]  Hakim Hacid,et al.  Using social annotations to enhance document representation for personalized search , 2013, SIGIR.

[18]  Jordi Castellà-Roca,et al.  Preventing automatic user profiling in Web 2.0 applications , 2012, Knowl. Based Syst..

[19]  M. de Rijke,et al.  Adding semantics to microblog posts , 2012, WSDM '12.

[20]  Gabriella Pasi,et al.  Predictors of Users' Willingness to Personalize Web Search , 2013, FQAS.

[21]  Xiao Lu,et al.  Computing and applying topic-level user interactions in microblog recommendation , 2014, SIGIR.

[22]  Mohand Boughanem,et al.  Time-Sensitive User Profile for Optimizing Search Personlization , 2014, UMAP.

[23]  Susan T. Dumais,et al.  Potential for personalization , 2010, TCHI.

[24]  Hakim Hacid,et al.  LAICOS: an open source platform for personalized social web search , 2013, KDD.

[25]  Qi Gao,et al.  Semantic Enrichment of Twitter Posts for User Profile Construction on the Social Web , 2011, ESWC.

[26]  Georgia Koutrika,et al.  Can social bookmarking improve web search? , 2008, WSDM '08.