9 papers:
SIGIR-2015-WangGLXWC #learning #recommendation #representation- Learning Hierarchical Representation Model for NextBasket Recommendation (PW, JG, YL, JX, SW, XC), pp. 403–412.
KDD-2011-McCloskeyKIKB #behaviour #data mining #mining #using- From market baskets to mole rats: using data mining techniques to analyze RFID data describing laboratory animal behavior (DPM, MEK, SPI, IK, SBM), pp. 301–306.
ICEIS-DISI-2009-Pitkaranta #information retrieval #recommendation- Applying Information Retrieval for Market Basket Recommender Systems (TP), pp. 138–143.
- KDD-2009-LiDJEL #random #recommendation
- Grocery shopping recommendations based on basket-sensitive random walk (ML, MBD, IHJ, WED, PJGL), pp. 1215–1224.
PADL-2000-HuCT #algorithm #analysis #data mining #mining- Calculating a New Data Mining Algorithm for Market Basket Analysis (ZH, WNC, MT), pp. 169–184.
SIGMOD-1999-AggarwalWY #similarity- A New Method for Similarity Indexing of Market Basket Data (CCA, JLW, PSY), pp. 407–418.
- SIGMOD-1997-BrinMS #correlation
- Beyond Market Baskets: Generalizing Association Rules to Correlations (SB, RM, CS), pp. 265–276.
- SIGMOD-1997-BrinMUT
- Dynamic Itemset Counting and Implication Rules for Market Basket Data (SB, RM, JDU, ST), pp. 255–264.
OOPSLA-1991-SimmelG #data access #semantics #transaction- The Kala Basket: A Semantic Primitive Unifying Object Transactions, Access Control, Versions, and Configurations (SSS, IG), pp. 230–246.
