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Personalized social search based on the user's social network

David Carmel, Naama Zwerdling, Ido Guy, Shila Ofek-Koifman, Nadav Har'el, Inbal Ronen, Erel Uziel, Sivan Yogev, Sergey Chernov
2009 Proceeding of the 18th ACM conference on Information and knowledge management - CIKM '09  
This work investigates personalized social search based on the user's social relations -search results are re-ranked according to their relations with individuals in the user's social network.  ...  For comparison we also experiment with Topic-based personalization that is based on the user's related terms, aggregated from several social applications.  ...  Experimental setup We experimented with several personalization methods that are based on the the user's social network, and on the set of the user's topics.  ... 
doi:10.1145/1645953.1646109 dblp:conf/cikm/CarmelZGOHRUYC09 fatcat:tayxc2f2ozbvfmortpxzemgexa

A Survey on Personalized Multimedia Content Search

Vanashri N.
2015 International Journal on Recent and Innovation Trends in Computing and Communication  
In this paper, we done survey on different techniques used for personalized search in relevant information retrieval.  ...  We propose a personalized search system, called MovieMine, enhance this proposed system to provide more relevant data summarized according to past & present comments left by user.  ...  This paper investigates personalized social search based on the user's social relationssearch results are re-ranked according to their relations with individuals in the user's social network.  ... 
doi:10.17762/ijritcc2321-8169.150243 fatcat:zgyuxqsj2zhwve6t7bcocfc7ny

Designing a Recommender System Based on Social Networks and Location Based Services

Fatemeh Khoshnood
2012 International Journal of Managing Information Technology  
Because user's information include personal information and interests in social network sites, considering user's current location and the information existing in social network data base, it is possible  ...  Social recommender systems are a combination of social data on web like; user's social networks and spatial information.  ...  Applying social information on the web like; social network, visiting web pages by user and manner of search engines in order to personalize content is very important for the user.  ... 
doi:10.5121/ijmit.2012.4404 fatcat:nudgymhhsrbstplimcapg6ktcq

Designing a Recommender System Based on Social Networks and Location Based Services

Fatemeh Khoshnood, Mehregan Mahdavi, Maedeh Kiani Sarkaleh
2012 Zenodo  
Because user's information include personal information and interests in social network sites, considering user's current location and the information existing in social network data base, it is possible  ...  Social recommender systems are a combination of social data on web like; user's social networks and spatial information.  ...  Applying social information on the web like; social network, visiting web pages by user and manner of search engines in order to personalize content is very important for the user.  ... 
doi:10.5281/zenodo.3813280 fatcat:lc32tp2sgjeavncbslowrr24ni

Geo-Social Profile Matching Algorithm for Dynamic Interests in Ad-Hoc Social Network

Nagender Aneja, Sapna Gambhir
2014 Social Networking  
We emphasize that strength of an ad-hoc social network depends on a good profile-matching algorithm that provides meaningful friend suggestions in proximity.  ...  Building user profile based on GPS location of a user provides benefits to ASN users as this profile represents user's dynamic interests that keep changing with location e.g. office, home, or some other  ...  Conclusion This paper presented a geo-social profile matching algorithm that constructed profiles dynamically based on user's search and browsing history and showed that local profile based on GPS location  ... 
doi:10.4236/sn.2014.35029 fatcat:spguuqbocrcvrku4j5vht4qvee

Issues and Challenges of User Intent Discovery (UID) during Web Search

Wael K. Hanna, Aziza S. Aseem, M. B. Senousy
2015 International Journal of Information Technology and Computer Science  
This paper also discusses the social network analysis and the web queries analysis.  ...  In order to improve the quality of web search results, while increasing the user's satisfaction, this paper presents the current work to identify user's intent sources and how to understand the user behavior  ...  Ming, Juanzi, Lei, and Hai-Tao [29] presented a systematic method named personalized diversity search based on user's social relationships (PDSSR), this method is a combination of personalization and  ... 
doi:10.5815/ijitcs.2015.07.08 fatcat:zhbrnkbkzngtbn5lz442n4j46e

Disambiguating Search by Leveraging a Social Context Based on the Stream of User's Activity [chapter]

Tomáš Kramár, Michal Barla, Mária Bieliková
2010 Lecture Notes in Computer Science  
In this paper we propose a method which can infer additional keywords for a search query by leveraging a social network context and a method to build this network from the stream of user's activity on  ...  Older studies have proved that when searching information on the Web, users tend to write short queries, unconsciously trying to minimize the cognitive load.  ...  , co-funded by the ERDF.  ... 
doi:10.1007/978-3-642-13470-8_37 fatcat:agzw3jjj5fdwbfwdvkwhrllu3u

Personalized Mobile Information Retrieval System

Okkyung Choi, Kangseok Kim, Duksang Wang, Hongjin Yeh, Manpyo Hong
2012 International Journal of Advanced Robotic Systems  
Building a global Network Relations with the internet has made huge changes in personal information system and even comments left on a webpage of SNS(Social Network Services) are appreciated as important  ...  But, most of the current personalized systems on the basis of Social Network are built and constructed mainly in the PC environment, and the systems are neither designed nor implemented in mobile environment  ...  Social Network Formal Module Social Network Formal Module returns the closest matching result through semantic relation analysis and inference based on the user's input (keyword or text).  ... 
doi:10.5772/50910 fatcat:faid5pm2gfbjpeblew2qgj5u7m

Group based Personalized Search by Integrating Search Behaviour and Friend Network [article]

Yujia Zhou, Zhicheng Dou, Bingzheng Wei, Ruobing Xievand Ji-Rong Wen
2021 arXiv   pre-print
The key to personalized search is to build the user profile based on historical behaviour.  ...  Specifically, we propose a friend network enhanced personalized search model, which groups the user into multiple friend circles based on search behaviours and friend relations respectively.  ...  It achieves personalization based on the user's social relations, which considers the familiarity-based network, similaritybased network, and overall network.  ... 
arXiv:2111.12618v1 fatcat:thelkkh4fjg2nldrdtcbuckrk4

Social Network Privacy Protection Research in Big Data Era

Shuang LIANG
2017 DEStech Transactions on Computer Science and Engineering  
Based on the problems of big data, social network big data and privacy data on the social network, this paper has analyzed privacy protection methods and problems in traditional social network, described  ...  With the advent of the big data era, people's lifestyles are quietly changing. Social networking has become an Indispensable part, but there is a great leaks risk of user's privacy in social network.  ...  The Typical Social Network Security Technology Location Privacy Protection Technology The paper [5] focused on the user's location and its relationship to publish content in social networks, present  ... 
doi:10.12783/dtcse/aice-ncs2016/5715 fatcat:gx73amzjtzgwppmusz6ndno67y

Personalization and privacy: a survey of privacy risks and remedies in personalization-based systems

Eran Toch, Yang Wang, Lorrie Faith Cranor
2012 User modeling and user-adapted interaction  
This article analyzes the privacy risks associated with several current and prominent personalization trends, namely social-based personalization, behavioral profiling, and location-based personalization  ...  For example, systems that personalize advertisements according to the physical location of the user or according to the user's friends' search history, introduce new privacy risks that may discourage wide  ...  In social search, search results are personalized according to the user's social network (Heymann et al. 2008; Dalal 2007) .  ... 
doi:10.1007/s11257-011-9110-z fatcat:qxghk5txzfel3j5365yktbei3i

Analysis of Personalized Service in Social Network

Wei LI, Cheng-cheng LI, Pu LI
2018 DEStech Transactions on Computer Science and Engineering  
feasible suggestions on the future development of social network personalized services.  ...  Through the way of questionnaires, the social network sites frequented by netizens, the preferences and the expectation of personalized services on social network sites are known.  ...  Acknowledgement This work was supported in part by the National Natural Science Foundation of China (No. 61170038, 61472231, 71701115), the National Social Science Foundation of China (No. 14BTQ049), the  ... 
doi:10.12783/dtcse/icmsa2018/23241 fatcat:kkywyt52gba3lha3gkvlkpztwy

Confidential Policy for Protecting User Images Uploaded on Shared Web Sites

Akula Kiranmai, Gunisetti Loshma
2017 International Journal of Scientific Research and Management  
We propose a two-level framework which according to the user's available history on the site, determines the best available privacy policy for the user's images being uploaded.  ...  A hierarchical image classification that classifies pictures initially based on their contents then refine every class into subcategories based mostly on their metadata.  ...  Privacy expectations in social networks are based on relationships. Typical social networks support friends and networks with privileged access.  ... 
doi:10.18535/ijsrm/v5i6.50 fatcat:iewptkwmrjfwlk34vyispcxbra

Show Me Your Cookie And I Will Tell You Who You Are [article]

Vincent Toubiana, Vincent Verdot
2011 arXiv   pre-print
We describe an attack scheme leveraging the search personalization (based on the same SID cookie) to retrieve a part of the victim's click history and even some of her contacts.  ...  Thanks to this prototype we were able to recover up to 80% of the user's search click history.  ...  The personalized search algorithm is based on private data held in the user's account. As such, it can be considered as a controlled information leakage.  ... 
arXiv:1108.5864v1 fatcat:qhz7m3lqqbdoffacxeca2eohdi

SWIM

Jun Zhang, Marshall Van Alstyne
2004 Extended abstracts of the 2004 conference on Human factors and computing systems - CHI '04  
Based on these ideas, we designed and implemented the Small World Instant Messenger (SWIM). SWIM SYSTEM SWIM is a new IM system that focuses on fostering information search through social networks.  ...  It has all the functions that a general IM system has to support questions asking and answering. Two advanced functions are added to support social network based search process.  ... 
doi:10.1145/985921.986144 dblp:conf/chi/ZhangA04 fatcat:wzebmrioxzhhxozp2jupkwnzee
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