without sufficient personal experience of the alternatives. In everyday life, we rely on recommendations from other people either by word of mouth, recommendation letters, movie and book reviews printed in newspapers, or general surveys such as Zagat’s restaurant guides. Recommender systems assist and augment this natural social process. ਪનγεςϜͱ [Resnick+ 97] ࣗͷܦݧ͔ΒͷΈͰ͋·ΓΑ͘Θ͔Βͳ͍ͷͷத͔ΒɼͲ͏ ͯ͠ͲΕ͔Λબͳ͚ΕͳΒͳ͍ͱ͍͏͜ͱΑ͋͘Δɽ͜ͷ Α͏ͳࡍΘͨͨͪ͠ɼޱίϛɼਪનঢ়ɼ ৽ฉͷॻධөըධɼϨ ετϥϯΨΠυͳͲͷଞਓ͔ΒͷਪનʹཔΔ͜ͱΛ ৗతʹߦͬͯ ͍Δɽ ใਪનγεςϜͱɼ͜͏ͨࣾ͠ձͰී௨ʹߦΘΕ͍ͯΔ Ұ࿈ͷߦҝΛิॿͨ͠Γɼଅਐͨ͠Γ͢ΔͷͰ͋Δɽ [Resnick 97] P. Resnick and H. R. Varian. Recommender systems. Communications of the ACM, Vol. 40, No. 3, pp. 56–58, 1997.
ਪનγεςϜͱ [Konstan+ 03] ਪનγεςϜ: Ձͷ͋Δͷ͕ͲΕ͔ಛఆ͢Δͷʹཱͭಓ۩ [Konstan 03] J. A. Konstan and J. Riedl. Recommender systems: Collaborating in commerce and communities. In Proc. of the SIGCHI Conf. on Human Factors in Computing Systems, Tutorial, 2003.