BibSLEIGH — Proceedings of the Second Conference on Recommender Systems

Pearl Pu, Derek G. Bridge, Bamshad Mobasher, Francesco Ricci
Proceedings of the Second Conference on Recommender Systems
RecSys, 2008.

KER

@proceedings{RecSys-2008,
	address       = "Lausanne, Switzerland",
	editor        = "Pearl Pu and Derek G. Bridge and Bamshad Mobasher and Francesco Ricci",
	isbn          = "978-1-60558-093-7",
	publisher     = "{ACM}",
	title         = "{Proceedings of the Second Conference on Recommender Systems}",
	year          = 2008,
}

Contents (51 items)

RecSys-2008-Broder #recommendation: Computational advertising and recommender systems (AZB), pp. 1–2.
RecSys-2008-DingZYZFB #collaboration #fault #predict #statistics: Boosting collaborative filtering based on statistical prediction errors (SD, SZ, QY, XZ, RF, LDB), pp. 3–10.
RecSys-2008-ParkT #how #recommendation: The long tail of recommender systems and how to leverage it (YJP, AT), pp. 11–18.
RecSys-2008-GunawardanaM #recommendation: Tied boltzmann machines for cold start recommendations (AG, CM), pp. 19–26.
RecSys-2008-SchifanellaPGR #ad hoc #collaboration #mobile #named #network #self: MobHinter: epidemic collaborative filtering and self-organization in mobile ad-hoc networks (RS, AP, CG, GR), pp. 27–34.
RecSys-2008-ShaniCM #mining #recommendation #web: Mining recommendations from the web (GS, DMC, CM), pp. 35–42.
RecSys-2008-SymeonidisNM #recommendation #reduction: Tag recommendations based on tensor dimensionality reduction (PS, AN, YM), pp. 43–50.
RecSys-2008-ZanardiC #ranking #recommendation #social #using: Social ranking: uncovering relevant content using tag-based recommender systems (VZ, LC), pp. 51–58.
RecSys-2008-GeyerDMMF #online #recommendation #self #topic: Recommending topics for self-descriptions in online user profiles (WG, CD, DRM, MJM, JF), pp. 59–66.
RecSys-2008-GargW #interactive #personalisation #recommendation: Personalized, interactive tag recommendation for flickr (NG, IW), pp. 67–74.
RecSys-2008-ChenP #evaluation #interface #recommendation: A cross-cultural user evaluation of product recommender interfaces (LC, PP), pp. 75–82.
RecSys-2008-XuJL #documentation #image #online #personalisation #recommendation #video: Personalized online document, image and video recommendation via commodity eye-tracking (SX, HJ, FCML), pp. 83–90.
RecSys-2008-MaidelSST #evaluation #personalisation: Evaluation of an ontology-content based filtering method for a personalized newspaper (VM, PS, BS, MTM), pp. 91–98.
RecSys-2008-WuWC #analysis #automation #incremental #probability #recommendation #semantics: Incremental probabilistic latent semantic analysis for automatic question recommendation (HW, YW, XC), pp. 99–106.
RecSys-2008-LiWZZC #named #parallel #query #recommendation: Pfp: parallel fp-growth for query recommendation (HL, YW, DZ, MZ, EYC), pp. 107–114.
RecSys-2008-HadzicO #graph #navigation: Critique graphs for catalogue navigation (TH, BO), pp. 115–122.
RecSys-2008-ZhangH #recommendation: Avoiding monotony: improving the diversity of recommendation lists (MZ, NH), pp. 123–130.
RecSys-2008-YildirimK #collaboration #problem #random: A random walk method for alleviating the sparsity problem in collaborative filtering (HY, MSK), pp. 131–138.
RecSys-2008-Zanker #collaboration #constraints #recommendation: A collaborative constraint-based meta-level recommender (MZ), pp. 139–146.
RecSys-2008-ResnickS #recommendation: The information cost of manipulation-resistance in recommender systems (PR, RS), pp. 147–154.
RecSys-2008-BryanOC #collaboration #recommendation #retrieval: Unsupervised retrieval of attack profiles in collaborative recommender systems (KB, MPO, PC), pp. 155–162.
RecSys-2008-DegemmisLSB #recommendation #semantics: Integrating tags in a semantic content-based recommender (MD, PL, GS, PB), pp. 163–170.
RecSys-2008-BrodskyHW #framework #named #recommendation: CARD: a decision-guidance framework and application for recommending composite alternatives (AB, SMH, JW), pp. 171–178.
RecSys-2008-CelmaH #approach #novel #recommendation: A new approach to evaluating novel recommendations (ÒC, PH), pp. 179–186.
RecSys-2008-DrennerST #community #experience #user interface: Crafting the initial user experience to achieve community goals (SD, SS, LGT), pp. 187–194.
RecSys-2008-KagieWG #difference #using: Choosing attribute weights for item dissimilarity using clikstream data with an application to a product catalog map (MK, MCvW, PJFG), pp. 195–202.
RecSys-2008-KoutrikaIBG #flexibility #recommendation: Flexible recommendations over rich data (GK, RI, BB, HGM), pp. 203–210.
RecSys-2008-KrishnanNNDK #online #predict #recommendation: Who predicts better?: results from an online study comparing humans and an online recommender system (VK, PKN, MN, RTD, JAK), pp. 211–218.
RecSys-2008-LakiotakiTM #analysis #multi #named #recommendation: UTA-Rec: a recommender system based on multiple criteria analysis (KL, ST, NFM), pp. 219–226.
RecSys-2008-LathiaHC #network #social: kNN CF: a temporal social network (NL, SH, LC), pp. 227–234.
RecSys-2008-OostendorpR #interface #recommendation #reduction: Three recommender approaches to interface controls reduction (NO, PR), pp. 235–242.
RecSys-2008-Recio-GarciaDG #prototype #recommendation: Prototyping recommender systems in jcolibri (JARG, BDA, PAGC), pp. 243–250.
RecSys-2008-RendleS #kernel #matrix #modelling #recommendation #scalability: Online-updating regularized kernel matrix factorization models for large-scale recommender systems (SR, LST), pp. 251–258.
RecSys-2008-ShepitsenGMB #clustering #personalisation #recommendation #social #using: Personalized recommendation in social tagging systems using hierarchical clustering (AS, JG, BM, RDB), pp. 259–266.
RecSys-2008-TakacsPNT #algorithm #matrix #problem: Matrix factorization and neighbor based algorithms for the netflix prize problem (GT, IP, BN, DT), pp. 267–274.
RecSys-2008-WeimerKS #adaptation #collaboration: Adaptive collaborative filtering (MW, AK, AJS), pp. 275–282.
RecSys-2008-AgrahriMR #people #question: Can people collaborate to improve the relevance of search results? (AKA, DATM, JR), pp. 283–286.
RecSys-2008-BogersB #recommendation #using: Recommending scientific articles using citeulike (TB, AvdB), pp. 287–290.
RecSys-2008-DiasLLEL #case study #personalisation #recommendation: The value of personalised recommender systems to e-business: a case study (MBD, DL, ML, WED, PJGL), pp. 291–294.
RecSys-2008-Baltrunas #information management #recommendation: Exploiting contextual information in recommender systems (LB), pp. 295–298.
RecSys-2008-Domingues #adaptation #analysis #framework #independence #monitoring #platform #web: An independent platform for the monitoring, analysis and adaptation of web sites (MAD), pp. 299–302.
RecSys-2008-DrachslerHK #learning #navigation: Navigation support for learners in informal learning environments (HD, HGKH, RK), pp. 303–306.
RecSys-2008-Kwon #rating #recommendation #using: Improving top-n recommendation techniques using rating variance (YK), pp. 307–310.
RecSys-2008-Lee #named #recommendation #trust: PITTCULT: trust-based cultural event recommender (DHL), pp. 311–314.
RecSys-2008-Sampaio #internet #network #performance #process #recommendation: A network performance recommendation process for advanced internet applications users (LNS), pp. 315–318.
RecSys-2008-Santos #adaptation #lifecycle #recommendation #standard: A recommender system to provide adaptive and inclusive standard-based support along the elearning life cycle (OCS), pp. 319–322.
RecSys-2008-Teppan #recommendation: Implications of psychological phenomenons for recommender systems (ECT), pp. 323–326.
RecSys-2008-Umyarov #performance #predict #recommendation: Leveraging aggregate ratings for improving predictive performance of recommender systems (AU), pp. 327–330.
RecSys-2008-Burke #recommendation #robust: Robust recommender systems (RDB), pp. 331–332.
RecSys-2008-Koren #collaboration #tutorial: Tutorial on recent progress in collaborative filtering (YK), pp. 333–334.
RecSys-2008-AdomaviciusT #recommendation: Context-aware recommender systems (GA, AT), pp. 335–336.

Pearl Pu, Derek G. Bridge, Bamshad Mobasher, Francesco RicciProceedings of the Second Conference on Recommender SystemsRecSys, 2008.

Contents (51 items)

Pearl Pu, Derek G. Bridge, Bamshad Mobasher, Francesco Ricci
Proceedings of the Second Conference on Recommender Systems
RecSys, 2008.