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Evolution of Modern Recommender Systems with AI Techniques

Artyom Kravchenko
2019 Intellectual Archive  
Recommender systems (RSs) emerged several decades ago as software tools analyzing Web user preferences and making intelligent product and content suggestions based on their behavior and tastes.  ...  With the booming expansion of Web data and growing variety of products, services, and information sources online, RSs face pressing challenges to efficiency of recommendations such as data sparsity, cold  ...  But along with the technological progress, RSs also evolved into personalized, context-aware recommenders providing suggestions in real time based on accurate, complex machine-learning approaches.  ... 
doi:10.32370/ia_2019_09_6 fatcat:t67eudpgfvguhl7ush2ne6y6ou

Twitter message recommendation based on user interest profiles

Raheleh Makki, Axel J. Soto, Stephen Brooks, Evangelos E. Milios
2016 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)  
Information filtering and recommender systems can help users by suggesting informative tweets based on their interests.  ...  We aim to tackle this problem by integrating active learning techniques into tweet recommendation, more specifically for finding relevant tweets and ranking them.  ...  FUTURE PLAN To overcome some of the challenges related to real-time tweet recommender systems, we plan to introduce and apply active learning strategies.  ... 
doi:10.1109/asonam.2016.7752266 dblp:conf/asunam/MakkiSBM16 fatcat:3jrug3ieu5ab3byukap3phurum

Recommending twitter users to follow using content and collaborative filtering approaches

John Hannon, Mike Bennett, Barry Smyth
2010 Proceedings of the fourth ACM conference on Recommender systems - RecSys '10  
harness the real-time web as the basis for profiling and recommendation.  ...  Recently the world of the web has become more social and more real-time.  ...  We describe a recommender system that is designed to harness Twitter's real-time information as a source of recommendation knowledge for followee recommendation.  ... 
doi:10.1145/1864708.1864746 dblp:conf/recsys/HannonBS10 fatcat:tnrmzqtewbaeddlxo5sj7prwmy

Researching Context-Aware Recommendation Systems in Mobile Environments

María del Carmen Rodríguez-Hernández, Sergio Ilarri
1970 Jornada de Jóvenes Investigadores del I3A  
Those systems will allow suggesting relevant items to mobile users.  ...  The design and implementation of generic frameworks to support an easy development of context-aware recommendation systems has been relatively unexplored.  ...  Introduction Recommendation Systems (RS) are applications which suggest (relevant) items to users.  ... 
doi:10.26754/jji-i3a.201401673 fatcat:edl45fhpczcifa3zi372aina4u

A novel system for the semi automatic annotation of event images

Philip James McParlane, Joemon Jose
2014 Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval - SIGIR '14  
Specifically, we present a novel tag recommendation system for images taken at a popular music festival which allows the user to select relevant tags from related Tweets and Wikipedia content, thus reducing  ...  Despite the progress made in this field, however, annotating images automatically based on their visual appearance often results in unsatisfactory suggestions and as a result these models have not been  ...  In comparison to existing manual annotation and tag recommendation methods, our interface offers a wider evidence scope which draws temporally significant suggestions from users in real time (in the form  ... 
doi:10.1145/2600428.2611188 dblp:conf/sigir/McParlaneJ14a fatcat:nxpabochcjdehosskiqiqjrgym

Location-Aware Recommendation Systems: Where We Are and Where We Recommend to Go

María del Carmen Rodríguez-Hernández, Sergio Ilarri, Raquel Trillo Lado, Ramón Hermoso
2015 ACM Conference on Recommender Systems  
However, traditional recommendation systems do not take into account the location as a relevant factor when providing suggestions.  ...  Then, we introduce some of the most relevant existing approaches for location-aware recommendation.  ...  more research is needed to solve existing difficulties and design systems able to obtain more effective recommendations. We hope that this survey will encourage further efforts.  ... 
dblp:conf/recsys/Rodriguez-Hernandez15 fatcat:zqo4ton4y5fzbljewbqy5tubnm

A Survey of Recommender System Techniques and the Ecommerce Domain [article]

Imran Hossain, Md Aminul Haque Palash, Anika Tabassum Sejuty, Noor A Tanjim, MD Abdullah AL Nasim, Sarwar Saif, Abu Bokor Suraj
2022 arXiv   pre-print
In recent years, a research field has emerged known as recommender systems. Recommenders have become important as they have many real-life applications.  ...  The final results give practitioners and researchers the necessary guidance and insights into the recommendation system and its application.  ...  Real-time dynamic recommendation system for all website visitors, whether they are registered or not registered [41] .  ... 
arXiv:2208.07399v1 fatcat:pnuguidkdbhthiryg6drqnpbme

Evaluation of Reranked Recommended Queries in Web Information Retrieval using NDCG and CV

R. Umagandhi, A.V. Senthil Kumar
2015 International Journal of Information Technology and Computer Science  
analyzes the real search intent of the user and recommends set of queries to be used in future to retrieve the relevant and required information.  ...  The proposed strategies are experimentally evaluated using real time American On Line (AOL) search engine query log.  ...  In this situation, Query recommendation is an important process which analyse the real search intent of the user and provides the alternate relevant and meaningful queries as suggestions to retrieve the  ... 
doi:10.5815/ijitcs.2015.08.04 fatcat:25z3nneorzgatpuqlwn7abh3ti

The Politics of Real-time: A Device Perspective on Social Media Platforms and Search Engines

Esther Weltevrede, Anne Helmond, Carolin Gerlitz
2014 Theory, Culture and Society. Explorations in Critical Social Science  
It suggests that real-time cannot be accounted for as a universal temporal frame in which events happen, but explores the making of real-time from a device perspective focusing on the temporalities of  ...  real-time.  ...  as Bing and Google make efforts to include real-time updates in their result pages so that 'relevance meets the real-time web' (Singhal, 2009) .  ... 
doi:10.1177/0263276414537318 fatcat:ywpr2onksbdhrajdyninttbxoi

Visualizing recommendations to support exploration, transparency and controllability

Katrien Verbert, Denis Parra, Peter Brusilovsky, Erik Duval
2013 Proceedings of the 2013 international conference on Intelligent user interfaces - IUI '13  
We investigated how information visualization can improve user understanding of the typically black-box rationale behind recommendations in order to increase their perceived relevance and meaning and to  ...  Research on recommender systems has traditionally focused on the development of algorithms to improve accuracy of recommendations.  ...  The authors would like to thank the anonymous reviewers for their valuable feedback and suggestions.  ... 
doi:10.1145/2449396.2449442 dblp:conf/iui/VerbertPBD13 fatcat:ekkkx4e45rh6fm3gralqvoiyim

A Serendipity-Oriented Personalized Trip Recommendation Model

Rizwan Abbas, Ghassan Muslim Hassan, Muna Al-Razgan, Mingwei Zhang, Gehad Abdullah Amran, Ali Ahmed Al Bakhrani, Taha Alfakih, Hussein Al-Sanabani, Sk Md Mizanur Rahman
2022 Electronics  
To address these issues in recommendation lies in searching for the sequential, relevant, novel, and unexpected (with high satisfaction) Points of Interest (POIs) to plan a personalized trip.  ...  We evaluated our algorithm using information acquired from a real-life dataset and user travel histories extracted from a Foursquare dataset.  ...  One location recommendation objective is to suggest the next POI for the users at an exact time given the users' recorded history of traveling [10] .  ... 
doi:10.3390/electronics11101660 fatcat:7jpxojnyjbdapnsl7qcw77tmiu

Web-Based Recommendation System for Smart Tourism: Multiagent Technology

Raheleh Hassannia, Ali Vatankhah Barenji, Zhi Li, Habib Alipour
2019 Sustainability  
In addition, based on the second scenario, real time data communication on the system occurred, thus the proposed system supported real time data communication.  ...  The purpose of the study is to design and develop a recommended system based on agent and web technologies, which utilizes a hybrid recommendation filtering for the smart tourism industry.  ...  can be able to support real time communication and provided better recommendation to customers.  ... 
doi:10.3390/su11020323 fatcat:g5bcmnh35rbifdh55wzlirpzz4

Energy saving in smart homes based on consumer behaviour: A case study [article]

Michael Zehnder, Holger Wache, Hans-Friedrich Witschel, Danilo Zanatta, Miguel Rodriguez
2015 arXiv   pre-print
We present an algorithm that uses consumer behavior data only and uses machine learning to suggest actions for inhabitants to reduce the energy consumption of their homes.  ...  If the system detects an opportunities to save energy without decreasing the comfort level it sends a recommendation to the residents.  ...  The event stream contains the real-time events from the smart home, ordered by time of their occurrence. The matching algorithm is the core component of the recommender system.  ... 
arXiv:1509.05722v1 fatcat:aqwjl2tz45a5he2om3nlo5s5be

Modeling Online Behavior in Recommender Systems: The Importance of Temporal Context [article]

Milena Filipovic, Blagoj Mitrevski, Diego Antognini, Emma Lejal Glaude, Boi Faltings, Claudiu Musat
2021 arXiv   pre-print
time.  ...  We use a multi-objective approach to introduce temporal context into traditionally time-unaware recommender systems and confirm its advantage via the proposed evaluation protocol.  ...  Recency to Improve Recommendation The main task of a recommender system is to anticipate users' future desires and suggest relevant content.  ... 
arXiv:2009.08978v3 fatcat:k5vnxo2bzzdprecculsrnr5dri

Benchmarking News Recommendations in a Living Lab [chapter]

Frank Hopfgartner, Benjamin Kille, Andreas Lommatzsch, Till Plumbaum, Torben Brodt, Tobias Heintz
2014 Lecture Notes in Computer Science  
In this paper, we introduce a living lab on news recommendation in real time.  ...  Within this lab, researchers were asked to provide news article recommendations to millions of users in real time.  ...  Real-Time News Recommendation Real-time news recommendation differs from the most traditional recommender scenarios which have been studied in literature.  ... 
doi:10.1007/978-3-319-11382-1_21 fatcat:2a25ii4wpbeldb27jnax5ewbzq
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