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High Order Profile Expansion to tackle the new user problem on recommender systems

Diego Fernández, Vreixo Formoso, Fidel Cacheda, Victor Carneiro, Le Hoang Son
2019 PLoS ONE  
This is the well-known new user problem, a type of cold-start. Profile Expansion techniques had been already presented as a method to alleviate this situation.  ...  In this paper, we present the High Order Profile Expansion techniques, which combine in different ways the Profile Expansion methods.  ...  Expansion (PE) techniques [6] , which were proposed to deal with the new user problem without involving the user.  ... 
doi:10.1371/journal.pone.0224555 pmid:31697691 pmcid:PMC6837286 fatcat:z3owlavd5vfjjmmxlcxmydk2de

Recommender System: Revolution in E-Commerce

Pratibha Yadav
2016 International Journal Of Engineering And Computer Science  
With the growing expansion of information on World Wide Web, web sites are facing challenges to meet their customers' needs to present them with the information they are interested in.  ...  Recommender systems have emerged as a solution to this issue. Recommender system makes predictions for the users based on the analysis of their past behaviour.  ...  preferences.  New User Problem: When a new user joins the system, RS does not have adequate information to analyze user's profile.  ... 
doi:10.18535/ijecs/v4i10.48 fatcat:yliy7bzoxvgs3lptpg2dndvwkq

Extended Collaborative Filtering Technique for Mitigating the Sparsity Problem

Keunho Choi, Yongmoo Suh, Donghee Yoo
2016 International Journal of Computers Communications & Control  
The new user similarity function computes the user similarity of two users if they rated similar items, while the user similarity function of traditional CF technique computes it only if they rated common  ...  Therefore, this paper first suggests a means to derive implicit rating information from the transaction data of an online shopping mall and then proposes a new user similarity function to mitigate the  ...  [10] proposed an approach called profile expansion based on the query expansion techniques used in information retrieval to mitigate the new user problem which can cause the sparsity problem.  ... 
doi:10.15837/ijccc.2016.5.2152 fatcat:ehxuucgstzehflzyq7cidvhzna

Profiling users in a 3g network using hourglass co-clustering

Ram Keralapura, Antonio Nucci, Zhi-Li Zhang, Lixin Gao
2010 Proceedings of the sixteenth annual international conference on Mobile computing and networking - MobiCom '10  
We formulate this user behavior profiling problem as a co-clustering problem, i.e., we group both users (who share similar browsing behavior), and browsing profiles (of like-minded users) simultaneously  ...  The proposed hourglass model first reduces the dimensions of the input data and performs divisive hierarchical co-clustering on the lower dimensional data; it then carries out an expansion step that restores  ...  The new lower-dimensional matrix is then used to co-cluster users and categories.  ... 
doi:10.1145/1859995.1860034 dblp:conf/mobicom/KeralapuraNZG10 fatcat:v6tgutjcuzdvtg7msq3vqznhby

BJUT at TREC 2015 Microblog Track: Real-Time Filtering Using Non-negative Matrix Factorization

Chaoyang Li, Zhen Yang, Kefeng Fan
2015 Text Retrieval Conference  
To build this framework, we firstly considered the Real-Time Filtering Task as a short text retrieval problem, and proposed a non-negative matrix factorization based Microblog retrieval model (N-MF Framework  ...  In this paper, we described our approaches to the Real-Time Filtering Task in the TREC 2015 Microblog track. We submitted the results for scenario B: periodic email digest.  ...  This method uses the accurate descriptions and the ambiguity descriptions of the same user interest with different sources of information to extend the query, alleviates the problem of concept drift in  ... 
dblp:conf/trec/LiYF15 fatcat:2yj6bwd7rzhdjo6prhnru2tnla

A semantic-expansion approach to personalized knowledge recommendation

Ting-Peng Liang, Yung-Fang Yang, Deng-Neng Chen, Yi-Cheng Ku
2008 Decision Support Systems  
The method adopts a semantic-expansion approach to build the user profile by analyzing documents previously read by the person.  ...  An empirical study using master theses in the National Central library in Taiwan shows that the semantic-expansion approach outperforms the traditional keyword approach in catching user interests.  ...  One way to alleviate the problem is to use implicit cues such as reading time as a substitute.  ... 
doi:10.1016/j.dss.2007.05.004 fatcat:ijymxehs2rd5znevx5a3k7j7ce

Using Personalization to Improve XML Retrieval

Luis M. de Campos, Juan M. Fernandez-Luna, Juan F. Huete, Eduardo Vicente-Lopez
2014 IEEE Transactions on Knowledge and Data Engineering  
Using the information about the user stored in a user profile, these techniques retrieve results that are closer to the user preferences.  ...  XML search allows a higher retrieval effectiveness, due to its ability to retrieve and to show the user specific parts of the documents instead of the full document.  ...  ACKNOWLEDGMENT This paper has been supported by the Spanish "Consejería de Innovación, Ciencia y Empresa de la Junta de Andalucía", the "Ministerio de Ciencia e Innovación" and the research programme "  ... 
doi:10.1109/tkde.2013.75 fatcat:fu2p6bwk4bgdlir2frbzktcoha

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 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 present a number of result re-ranking techniques based on this representation that can be applied to any Web search engine.  ...  ACKNOWLEDGEMENTS This research was partially supported by the Spanish Ministry of Science and Education (TIN2008-06566-C04-02) and the Regional Government of Madrid (S2009TIC-1542).  ... 
doi:10.1145/1835449.1835636 dblp:conf/sigir/CondeVC10 fatcat:fv7swm57drdv5lyowkte66rnde

Recommendation systems: Principles, methods and evaluation

F.O. Isinkaye, Y.O. Folajimi, B.A. Ojokoh
2015 Egyptian Informatics Journal  
On the Internet, where the number of choices is overwhelming, there is need to filter, prioritize and efficiently deliver relevant information in order to alleviate the problem of information overload,  ...  which has created a potential problem to many Internet users.  ...  Also, they do not alleviate the cold-start problem.  ... 
doi:10.1016/j.eij.2015.06.005 fatcat:arp4euyhifhvppxf6z46rcuyqu

A Combined Method for Mitigating Sparsity Problem in Tag Recommendation

Endang Djuana, Yue Xu, Yuefeng Li, Audun Josang
2014 2014 47th Hawaii International Conference on System Sciences  
In this context, sparsity problem refers to situation where tags need to be produced for items with few annotations or for user who tags few items.  ...  Tag recommendation is a specific recommendation task for recommending metadata (tag) for a web resource (item) during user annotation process.  ...  Acknowledgement This work is part of ARC Linkage Project (LP0776400) supported by the Australian Research Council.  ... 
doi:10.1109/hicss.2014.120 dblp:conf/hicss/DjuanaXLJ14 fatcat:xw7j6wr7w5empjdnaafiepar3m

Exploiting the web of data in model-based recommender systems

Tommaso Di Noia, Roberto Mirizzi, Vito Claudio Ostuni, Davide Romito
2012 Proceedings of the sixth ACM conference on Recommender systems - RecSys '12  
The availability of a huge amount of interconnected data in the so called Web of Data (WoD) paves the way to a new generation of applications able to exploit the information encoded in it.  ...  The proposed approach adapts support vector machine (SVM) to deal with RDF triples.  ...  The authors acknowledge partial support of HP IRP 2011. Grant CW267313.  ... 
doi:10.1145/2365952.2366007 dblp:conf/recsys/NoiaMOR12 fatcat:kav6xou7tbcdnj66ty2s2qhtr4

A systematic review and research perspective on recommender systems

Deepjyoti Roy, Mala Dutta
2022 Journal of Big Data  
AbstractRecommender systems are efficient tools for filtering online information, which is widespread owing to the changing habits of computer users, personalization trends, and emerging access to the  ...  Due to the existence of various techniques, the selection of techniques becomes a complex work while building application-focused recommender systems.  ...  New research may extend this study to cover other journals and non-English papers.  ... 
doi:10.1186/s40537-022-00592-5 fatcat:t6fomj2vpff5ticjzwvezqw2di

A synergistic strategy for combining thesaurus-based and corpus-based approaches in building ontology for multilingual search engines

Leyla Zhuhadar
2016 Figshare  
We also applied a query translation method to retrieve multilingual documentswith an expansion technique for phrasal translation. Finally, we present our findings.  ...  These techniques map sets of t f id f term weights fromone language to another.  ...  Google News (news.google.com): recommendations are based on the similarity between user profiles.  ... 
doi:10.6084/m9.figshare.3423686.v1 fatcat:h7un4wlxyfg67avecgk7ub36qu

An Ontology-based Method for Sparsity Problem in Tag Recommendation
english

Endang Djuana, Yue Xu, Yuefeng Li, Audun Jøsang, Clive Cox
2013 Proceedings of the 15th International Conference on Enterprise Information Systems  
Its objective is to suggest relevant tags to use as well as to help consolidating vocabulary in the systems.  ...  However, as tags are freely chosen by users, the vocabularies are diverse, ambiguous and sometimes only meaningful to individuals. Tag recommenders may assist users during tagging process.  ...  ACKNOWLEDGEMENTS This work is part of ARC Linkage Project (LP0776400) supported by the Australian Research Council.  ... 
doi:10.5220/0004439904670474 dblp:conf/iceis/DjuanaXLJC13 fatcat:zmezkwzs3zhvjoliz6gd4nupfq

Generating Items Recommendations by Fusing Content and User-Item based Collaborative Filtering

Anand Shanker Tewari
2020 Procedia Computer Science  
The CBF recommends items that have similar characteristics as items used by the user in the past.  ...  The CBF recommends items that have similar characteristics as items used by the user in the past.  ...  Introduction The expansion of the Internet has provided the flat ground for the e-commerce business to spread all across the globe. Daily new products are coming in the market.  ... 
doi:10.1016/j.procs.2020.03.215 fatcat:vwjgn4gy45dnngn7r3va75thgu
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