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A Re-visit of the Popularity Baseline in Recommender Systems [article]

Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li
2020 arXiv   pre-print
Through this study, we call for a re-visit of the popularity baseline in recommender system to better reflect its effectiveness.  ...  We argue that the current evaluation of popularity (i) does not reflect the popular items at the time when a user interacts with the system, and (ii) may recommend items released after a user's last interaction  ...  Our further analysis shows that recommendation by popularity is e ective for users who do not have many interactions with a system. rough this study, we call for a re-visit of the popularity baseline.  ... 
arXiv:2005.13829v1 fatcat:4d3wijpzd5hs3klmdl75fuh3uu

A Content-based Recommender System for E-commerce Offers and Coupons

Yandi Xia, Giuseppe Di Fabbrizio, Shikhar Vaibhav, Ankur Datta
2017 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval  
In this work, we propose a contentbased recommender system that streamlines the coupon selection process and personalizes the recommendation to improve the clickthrough rate and, ultimately, the conversion  ...  When compared to the popularity-based baseline, our content-based recommender system improves F-measures from 0.21 to 0.85 and increases the estimated click-through rate from 1.20% to 7.80%.  ...  The authors would also like to thank the anonymous reviewers for their helpful advice and Yiu-Chang Lin for presenting our work at the workshop.  ... 
dblp:conf/sigir/XiaFVD17 fatcat:o2tzchwrl5d4nabvrktnl4yvd4

Political audience diversity and news reliability in algorithmic ranking [article]

Saumya Bhadani, Shun Yamaya, Alessandro Flammini, Filippo Menczer, Giovanni Luca Ciampaglia, Brendan Nyhan
2021 arXiv   pre-print
In this paper, we propose using the political diversity of a website's audience as a quality signal.  ...  We then incorporate audience diversity into a standard collaborative filtering framework and show that our improved algorithm increases the trustworthiness of websites suggested to users -- especially  ...  We are also grateful to organizers, chairs and participants of the News Quality in the Platform Era  ... 
arXiv:2007.08078v2 fatcat:2dcjmiikencdxamsdu4mm3tmby

Research on the Realization of Travel Recommendations for Different Users Through Deep Learning Under Global Information Management

2022 Journal of Global Information Management  
The innovation of this article is to compare and analyze with a large number of baseline algorithms, highlighting the superiority of this model in personalized travel recommendation.  ...  This article is mainly to study the realization of travel recommendations for different users through deep learning under global information management.  ...  a re the same as those in the recall rate, and both are all the points of interest visited in the recommended route and the real route.  ... 
doi:10.4018/jgim.296145 fatcat:uyrjhnfwffef7gvkunoco3hc2y

Studying the use of popular destinations to enhance web search interaction

Ryen W. White, Mikhail Bilenko, Silviu Cucerzan
2007 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '07  
We describe a user study which compared the suggestion of destinations with the previously proposed suggestion of related queries, as well as with traditional, unaided Web search.  ...  We present a novel Web search interaction feature which, for a given query, provides links to websites frequently visited by other users with similar information needs.  ...  Web search system Baseline), a search that recommends additional and two systems that augment baseline using either end-points of of session trails To establish baseline performance against which other  ... 
doi:10.1145/1277741.1277771 dblp:conf/sigir/WhiteBC07 fatcat:yzrldykxjff6npr5aohhlcbkyi

Attention-based neural re-ranking approach for next city in trip recommendations [article]

Aleksandr Petrov, Yuriy Makarov
2021 arXiv   pre-print
This paper describes an approach to solving the next destination city recommendation problem for a travel reservation system.  ...  We used this approach to solve the recommendations challenge Our team achieved 5th place on the challenge using this method, with 0.555 accuracy@4 value on the closed part of the dataset.  ...  process (see section 2.2) • TruncatedSVD -a popular method of solving recommendations problem [6] . • SelfAttention -end-to-end version of our model.  ... 
arXiv:2103.12475v1 fatcat:fvb3rgey6vepzjcz3sp6cy4e3y

CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender Systems [article]

Mohammadmehdi Naghiaei, Hossein A. Rahmani, Yashar Deldjoo
2022 arXiv   pre-print
A common trend in the previous literature research on fairness in recommender systems is that the majority of works treat user and item fairness concerns separately, ignoring the fact that recommender  ...  Recommender systems are prominent examples of such ML systems that assist users in making high-stakes judgments.  ...  Active users of POI may want to visit a variety of popular and less popular locations, whilst less active users may want to visit mainly the most popular locations.  ... 
arXiv:2204.08085v1 fatcat:xl4xfh35dra4fojsvuyjuahzea

Temporal diversity in recommender systems

Neal Lathia, Stephen Hailes, Licia Capra, Xavier Amatriain
2010 Proceeding of the 33rd international ACM SIGIR conference on Research and development in information retrieval - SIGIR '10  
In this work, we show that temporal diversity is an important facet of recommender systems, by showing how CF data changes over time and performing a user survey.  ...  We then evaluate three CF algorithms from the point of view of the diversity in the sequence of recommendation lists they produce over time.  ...  In order to examine the sequence of recommendations produced by a system, we explore CF algorithms that iteratively re-train on a growing dataset.  ... 
doi:10.1145/1835449.1835486 dblp:conf/sigir/LathiaHCA10 fatcat:mu3r3dldtnc2tlygj3hziwmqcm

Leveraging popular destinations to enhance Web search interaction

Ryen W. White, Mikhail Bilenko, Silviu Cucerzan
2008 ACM Transactions on the Web  
We discuss the implications of these and other findings from our study for the design of search systems that utilize user behavior, in particular user browse trails and popular destinations.  ...  Results show that search enhanced by query suggestions outperforms other systems, in terms of subject perceptions and search effectiveness, for fact-finding search tasks.  ...  Systems Four systems were used in this study: a baseline Web search system with no explicit support for query refinement (Baseline), a search system with a query suggestion component that recommends additional  ... 
doi:10.1145/1377488.1377490 fatcat:dqdoi5k3r5emtaaqetmntf746m

Learning travel recommendations from user-generated GPS traces

Yu Zheng, Xing Xie
2011 ACM Transactions on Intelligent Systems and Technology  
Meanwhile, we achieved a better performance in recommending travel sequences beyond baselines like rank-by-count.  ...  We evaluated our system based on a real-world GPS trace dataset collected by 107 users over a period of one year.  ...  At the same time, we investigated the popular rate, which represents the ratio of sequences with a score of 2 in the set, of different methods. Baselines .  ... 
doi:10.1145/1889681.1889683 fatcat:n6irgfselvatrg5nxrnne43vmy

Predicting Links in Plant-Pollinator Interaction Networks Using Latent Factor Models With Implicit Feedback

Eugene Seo, Rebecca Hutchinson
The matrix factorization methods compare favorably against several baselines on a pollination dataset collected in montane meadows over several years.  ...  This paper explores the use of latent factor models to predict interactions that will occur in new contexts (e.g. a different distribution of the set of plant species) based on an observed network.  ...  The Popularity baseline determines all pollinators' preferences for the plants based on the popularity of plants in the training set.  ... 
doi:10.1609/aaai.v32i1.11345 fatcat:rcqtwobhonbs7g25oh4lzjxylu

Geo-Targeting, Privacy, and the Rise of Consumer Location Trajectories

Meghanath M. Y, Beibei Li, Ying Natasha Zhang Foutz
2019 International Conference on Information Systems  
Validating on a sample of nearly one million location trajectories from over 40,000 individuals, we find that high privacy risks indeed prevail in the absence of data obfuscation.  ...  Outperforming multiple baselines, the proposed framework significantly reduces the privacy risk with minimal decrease in an advertiser's utility.  ...  We compare the performance with several baselines -recommendations based on the most popular locations (Most Popular), based on the locations that the user spent the most time in (Most Dwell (User)), visited  ... 
dblp:conf/icis/YLF19 fatcat:smwgdpdqmvfxrhnnirz3wlymoe

Event driven Recommendation System for E-commerce using Knowledge based Collaborative Filtering Technique

Mahesh Kumar Singh, Om Prakash Rishi
2020 Scalable Computing : Practice and Experience  
Almost every existing recommendation system is based on one of feature, review, rating, and popularity of the items in which users' involvement is very less or none.  ...  We see the effectiveness of this approach in comparison with baseline methods in the area of recommendation system using three parameters precision, recall, and NDCG through online and offline evaluation  ...  The first author express the profound sense of gratitude and deep sentiments to the supervisor Dr.  ... 
doi:10.12694/scpe.v21i3.1709 fatcat:4x3j3buuonchdkn6ukr4wlhkqi

Simulated Altitude via Re-Breathing Creates Arterial Hypoxemia but Fails to Improve Elements of Running Performance

Matthew J Garver, Cory M Scheadler, Logan M Smith, Sarah J Taylor, Chase M Harbach
2018 International Journal of Exercise Science  
This work was on a handheld, re-breathing device touted to enhance performance. Seven recreationally-trained athletes used the device for 18 hours over the course of the 37-day intervention trial.  ...  Acclimatization to altitude has been shown to improve elements of performance. Use of simulated altitude is popular among athletes across the sports spectrum.  ...  The researchers note the generosity of the ACU Pursuit Grant Team for their funding. Also, thank you to Taylor G. Flowers and Heather Johnston for their assistance with data collection.  ... 
pmid:29795741 pmcid:PMC5955285 fatcat:blpkrynbe5bufjojqibt3r24pa

Context-Aware Tourist Trip Recommendations

Christopher Laß, Daniel Herzog, Wolfgang Wörndl
2017 ACM Conference on Recommender Systems  
The study proves a high usability of our system and shows that our context-aware approach outperforms a baseline algorithm.  ...  We conducted an online questionnaire to determine the in uence of the context factors on the user's decision of visiting a POI and the ratings of the POIs under these conditions.  ...  The aim of this study was to evaluate the in uence of the selected context factors on their decisions to visit a category represented by a selected POI as well as the change of POI popularity precipitated  ... 
dblp:conf/recsys/LassHW17 fatcat:7tkskau27bfp7amhupmyetwdb4
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