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IMPROVING FRIENDS RECOMMENDATION USING FP-GROWTH ALGORITHM IN SOCIAL TAGGING SYSTEM

Usman Bukar Usman, Kabir Umar
2022 FUDMA Journal of Sciences  
In this work we proposed improving friend recommendation using, to address the difficulty of tag ambiguities.  ...  There is a constant growth in the number of users using social tagging.  ...  CONCLUSION We present a unique friend recommendation system called improving friend recommendation using FP-growth Algorithm in social tagging system (IFRAST) that may be applied on social tagging sites  ... 
doi:10.33003/fjs-2021-0504-675 fatcat:4kqtgjnhhfacbabuscli7kzdge

Expanding User Features with Social Relationships in Social Recommender Systems [chapter]

Chengjie Sun, Lei Lin, Yuan Chen, Bingquan Liu
2013 Communications in Computer and Information Science  
Plenty of information can be used in social networks to improve the performance of recommender system. However, some information is very sparse when used as features.  ...  Although recommender system has been studied for many years, the research of social recommender system is just beginning.  ...  Social recommendation aims at forming a recommender system by using recommendation methods with information from social networks such as user profile, user action, and social relationships [7] .  ... 
doi:10.1007/978-3-642-41644-6_23 fatcat:lu5n62pvwzfw7bkrh4d6htfqhy

Improving Search in Social Networks by Agent Based Mining

Anil Gürsel, Sandip Sen
2009 International Joint Conference on Artificial Intelligence  
We have implemented the SNIS agent-based framework in Flickr, a photosharing social network, for searching for photos by using tag lists as search queries.  ...  Our Social Networkbased Item Search (SNIS) system uses agents that utilize the connections of a user in the social network to facilitate the search for items of interest.  ...  Discussion We show that past user activities in social networks can be used to learn topic-specific user preferences and use a Social Network-based Item Search (SNIS) system to locate items in social networks  ... 
dblp:conf/ijcai/GurselS09 fatcat:rw7fosai2fdvvcnxmwzeqxsk64

STRec: An Improved Graph-based Tag Recommender

Modou Gueye, Talel Abdessalem, Hubert Naacke
2013 ACM Conference on Recommender Systems  
Our algorithm, called STRec, provides networkaware recommendations based on proximity measures computed on-the-fly in the network. STRec uses a bounded search to find good neighbors.  ...  On top of STRec, we apply a re-ranking scheme that improves the quality of the recommendations.  ...  Let us notice that we use, as a social network, a similarity network (weighted graph) inferred from the tagging behaviour of the users.  ... 
dblp:conf/recsys/GueyeAN13 fatcat:75qyj76q6bbkpntbr6owmq6lie

Improving Recommender Systems by Incorporating Social Contextual Information

Hao Ma, Tom Chao Zhou, Michael R. Lyu, Irwin King
2011 ACM Transactions on Information Systems  
information, such as social networks and social tags.  ...  Many existing approaches to recommender systems cannot easily deal with users who have made very few ratings.  ...  Recommendation with Social Trust Network We first demonstrate our recommendation framework using a simple but illustrative toy example.  ... 
doi:10.1145/1961209.1961212 fatcat:wgh23g4b4zasboklcml76o3pyi

Systematic Evaluation of Social Recommendation Systems: Challenges and Future

Priyanka Rastogi, Dr. Vijendra
2016 International Journal of Advanced Computer Science and Applications  
Social Recommender System (SRS) exploits social contextual information in the form of social links of users, social tags, user-generated data that contain huge supplemental information about items or services  ...  Therefore, having tremendous potential for improving recommendation quality.  ...  ., comments, post, tags, photos, videos) in social network too started being used for the purpose of recommendation [11] .  ... 
doi:10.14569/ijacsa.2016.070420 fatcat:wwvyumdr5ffohiphirbb3ycuoa

Exploiting Social Ties for Search and Recommendation in Online Social Networks - Challenges and Chances

Kerstin Bischoff
2010 Workshop Grundlagen von Datenbanken  
Offline social networks have long been studied in sociology, epidemiology, etc.  ...  Online social networking is a huge trend. On Facebook or MySpace people connect with their friends or make new friends.  ...  Social query expansion by tags used by friends, however, did not lead to improved performance.  ... 
dblp:conf/gvd/Bischoff10 fatcat:335rvtczzjd2diketp3ajml3si

Social Photo Tagging Recommendation Using Community-Based Group Associations

Chien-Li Chou, Yee-Choy Chean, Yi-Cheng Chen, Hua-Tsung Chen, Suh-Yin Lee
2012 2012 IEEE International Conference on Multimedia and Expo Workshops  
Finally, the experimental evaluations show that the performance of photo tagging recommendation is improved by combining the face recognition and social relationship.  ...  In the social network, living photos occupy a large portion of web contents.  ...  Moreover, analyzing the photo tags is useful for both friend recommendation [10, 16] and photo tag recommendation techniques [1, 12, 14] .  ... 
doi:10.1109/icmew.2012.46 dblp:conf/icmcs/ChouCCCL12 fatcat:ukmotlha6banzozrsvifms22tq

Social Tagging System for Community Detecting using NLP Technique

Mrs. C. Gomathi
2018 International Journal for Research in Applied Science and Engineering Technology  
recommendation.  ...  Social tagging systems for community detecting in social networks, users usually have different intentions when tagging.  ...  Researches have shown that social tagging can be used to improve recommender systems.  ... 
doi:10.22214/ijraset.2018.4279 fatcat:qldlijoa2rb2jmgty44hjh4sum

Friend suggestion in social network based on user log

R. Kaviya, M. Vanitha, I. Sumaiya Thaseen, R. Mangaiyarkarasi
2017 IOP Conference Series: Materials Science and Engineering  
In the proposed system, we use an algorithm for network correlation-based social friend recommendation (NC-based SFR).It includes user activities like where one lives and works.  ...  We consider by preserving the network structure for a more better recommendations so that it significantly improves the accuracy for better friend-recommendation.  ...  The three different networks formed are user friendship network, tag and image content network. SVM is used as the reference model for classifying the users as "recommended" or "not recommended".  ... 
doi:10.1088/1757-899x/263/4/042079 fatcat:3pd5z3qx2zg43iqeiogsqr2xbq

Social Web Recommendation using Metapaths

Robin D. Burke, Fatemeh Vahedian
2013 ACM Conference on Recommender Systems  
A challenge for social web recommendation is make the most effective use of a diverse set of relations.  ...  As a preliminary demonstration, we show that our approach yields improvements over a state-of-the-art technique on several social tagging datasets.  ...  DATASETS For our experiments, we used three social tagging networks from the data sets studied in [7] .  ... 
dblp:conf/recsys/BurkeV13 fatcat:skr53jnp4zg2pnkykn5k4lyhe4

A Survey on the Generation of Recommender Systems

Rahul Singh, Kanika chuchra, Akshama Rani
2017 International Journal of Information Engineering and Electronic Business  
First generation or Web 1.0 recommender systems deal with E-commerce, Second generation or web 2.0 recommender systems use social network and social contextual information for accurate and diverse recommendations  ...  , and Third generation recommender systems use location based information or internet of things for generating recommendations.  ...  incorporated Scalability Problem Movie (Movielens) Recommender System Incorporating social Network information [29] Improvement in Recommendation Privacy Theoretical Framework (Social Network  ... 
doi:10.5815/ijieeb.2017.03.04 fatcat:rl27wnfugvbxbd4zf2gswgpswi

Research on the Method of Personalized Information Recommendation Based on Social Tagging

Chaoyang Ji
2016 International Journal of Database Theory and Application  
In the social tagging systems, tags are results of use annotations.  ...  Combining social tagging with personalized information recommendation, this paper designs a personalized information recommendation method based on social tagging on the basis of the existing method of  ...  Such as personalized information recommendation method based on analysis of social network proposed by Xu Baoxiang is using social network analysis tool to mine common preference of network community and  ... 
doi:10.14257/ijdta.2016.9.7.01 fatcat:ee6mfz3sbjha3oes7xxgnafa4e

An Improved Fuzzy Logic Based Recommender System by Integrating Social Tags and Social Networks Information

Asgarali Bouyer
2018 Progress in Computing Applications  
The proposed method enhances the accuracy of recommendations by combining the social tags, fuzzy logic and social networks' information such as friendship and groups' membership.  ...  This paper proposes an improved collaborative filtering algorithm based on fuzzy logic and Social Network Information.  ...  Since the dynamic and open web service environment is quite similar to the social network environment, researchers can use social network information to improve the quality of recommendations.  ... 
doi:10.6025/pca/2018/7/2/47-55 fatcat:xzib6jw3ynde7li6vfg55uzkqu

Recommender Systems Based on Tensor Decomposition

Zhoubao Sun, Xiaodong Zhang, Haoyuan Li Yan Xiao, Haifeng Guo
2020 Computers Materials & Continua  
While social networks contain abundant social information, such as tags, places and times. Researches show that the social information has a great impact on recommendation results.  ...  Since the traditional recommender systems cannot parse multi-dimensional information, in this paper, a tensor decomposition model based on tag regularization is proposed which incorporates social information  ...  tags, and improve the performance of tag recommendation by using tag information in the social tagging system.  ... 
doi:10.32604/cmc.2020.012593 fatcat:apwahfw2cvetdke33yk6mtszkm
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