BibSLEIGH corpus
BibSLEIGH tags
BibSLEIGH bundles
BibSLEIGH people
Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
email twitter
Used together with:
data (7)
onlin (6)
recommend (6)
product (5)
behavior (5)

Stem purchas$ (all stems)

28 papers:

HCIHIMI-IKD-2015-MorizumiA #analysis #using
Analysis Using Purchasing Data in Japan (RM, YA), pp. 640–647.
CHICHI-2014-Wohn #game studies #online #social
Spending real money: purchasing patterns of virtual goods in an online social game (DYW), pp. 3359–3368.
Tracking Temporal Dynamics of Purchase Decisions via Hierarchical Time-Rescaling Model (HK, NT, HS), pp. 1389–1398.
KEODKEOD-2014-Kraines #ontology #order #question #semantics #similarity
Can SKOS Ontologies Improve the Accuracy of Measuring Semantic Similarity of Purchase Orders? (SBK), pp. 248–255.
HCIDUXU-WM-2013-PrataMQ #mobile #testing #usability
Usability Testing of Mobile Applications Store: Purchase, Search and Reviews (WP, CRM, MQ), pp. 714–722.
HCIHCI-UC-2013-BeldadS #experience #ll #online #trust
It Was Nice with the Brick So Now I’ll Click: The Effects of Offline and Online Experience, Perceived Benefits, and Trust on Dutch Consumers’ Online Repeat Purchase Intention (AB, MS), pp. 371–380.
HCIHIMI-D-2013-KobayashiYA #analysis #behaviour
Analysis of Purchasing Behavior Focusing on the Passage of Time at a Group Buying Site of Coupon (TK, TY, YA), pp. 449–455.
HCIHIMI-LCCB-2013-OhtaK #motivation
The Relationship between Kansei Scale for Uniqueness of Products and Purchase Motivation (YO, KK), pp. 521–530.
ICEISICEIS-v2-2013-KuCY #approach #recommendation
Effect of Product Type and Recommendation Approach on Consumers’ Intention to Purchase Recommended Products (YCK, CHC, CSY), pp. 475–480.
VLDBVLDB-2012-KanagalAPJYP #behaviour #learning #recommendation #taxonomy #using
Supercharging Recommender Systems using Taxonomies for Learning User Purchase Behavior (BK, AA, SP, VJ, JY, LGP), pp. 956–967.
KDIRKDIR-2012-DesarkarS #collaboration
User based Collaborative Filtering with Temporal Information for Purchase Data (MSD, SS), pp. 55–64.
Increasing temporal diversity with purchase intervals (GZ, MLL, WH, WC), pp. 165–174.
HCIHIMI-v1-2011-NguyenV #behaviour #online #privacy #question
Does Privacy Information Influence Users’ Online Purchasing Behavior? (JHN, KPLV), pp. 349–358.
KDDKDD-2011-PradelSDGRUFD #case study #recommendation
A case study in a recommender system based on purchase data (BP, SS, JD, SG, CR, NU, FFS, FDJ), pp. 377–385.
RecSysRecSys-2011-GorgoglionePT #behaviour #recommendation #trust
The effect of context-aware recommendations on customer purchasing behavior and trust (MG, UP, AT), pp. 85–92.
RecSysRecSys-2011-WangSS #e-commerce #recommendation
Utilizing related products for post-purchase recommendation in e-commerce (JW, BS, NS), pp. 329–332.
SIGIRSIGIR-2010-HofmannHBR #evaluation #retrieval
Comparing click-through data to purchase decisions for retrieval evaluation (KH, BH, MB, MdR), pp. 761–762.
HCIHIMI-IIE-2007-Fagerstrom #online
The Impact of Verbal Stimuli in Motivating Consumer Response at the Point of Purchase Situation Online (AF), pp. 713–719.
HCIHIMI-IIE-2007-LinWH #metric #modelling #web
Evaluating Measurement Models for Web Purchasing Intention (BYL, PJW, CIH), pp. 740–748.
HCIOCSC-2007-YehWH #behaviour #case study #online
A Study of Emotional and Rational Purchasing Behavior for Online Shopping (LY, EMYW, SLH), pp. 222–227.
EDOCEDOC-2005-WangM #order
Intelligent Aggregation of Purchase Orders in e-Procurement (GW, SM), pp. 27–38.
KDDKDD-2005-RaskuttiH #predict
Predicting the product purchase patterns of corporate customers (BR, AH), pp. 469–478.
SEKESEKE-2005-HuaC #specification
Yet Another Purchasing Specification Construction in E-Business (CHH, PMC), pp. 105–108.
KDDKDD-2004-CumbyFGK #predict
Predicting customer shopping lists from point-of-sale purchase data (CMC, AEF, RG, MK), pp. 402–409.
KDDKDD-2004-RusmevichientongZS #identification
Identifying early buyers from purchase data (PR, SZ, DS), pp. 671–677.
KDDKDD-2003-EtzioniTKY #mining
To buy or not to buy: mining airfare data to minimize ticket purchase price (OE, RT, CAK, AY), pp. 119–128.
A System Based on Preferences for Aid to the Purchase Decision (ILR, ELE, GCG, MÁGN), pp. 1058–1063.
SACSAC-1997-OchiDF #algorithm #design #implementation #parallel #problem #search-based
Design and implementation of a parallel genetic algorithm for the travelling purchaser problem (LSO, LMdAD, RMVF), pp. 257–262.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.