MIT Press

Table 1:

SG features of trial t. a_i, l_i, and dmp_i denote the DM’s action, lottery result, and DM’s payoff in trial t, respectively. s(h_t) is the average score of the suggested hotel in trial t, r_t is its revealed review, and s(r_t) is the revealed review score. * indicates that the feature is taken from Apel et al. (2020).

Feature Name	Feature Description	Feature Formulation
Behavioral Features
HotelAcceptance	Avg #trials where the hotel was accepted	$\frac{\sum_{i = 1}^{t - 1} 1_{{a_{i} = 1}}}{t - 1}$
HotelAcceptance Earn	Avg #trials where the hotel was accepted and the DM achieved a negative payoff.*	$\frac{\sum_{i = 1}^{t - 1} 1_{{a_{i} = 1 \cap d m p_{i} > 0}}}{t - 1}$
HotelAcceptance Lose	Avg #trials where the hotel was accepted and the DM achieved a positive payoff.*	$\frac{\sum_{i = 1}^{t - 1} 1_{{a_{i} = 1 \cap d m p_{i} < 0}}}{t - 1}$
¬HotelAcceptance Earn	Avg #trials where the hotel was not accepted but the payoff would have been positive if the DM had accepted it.*	$\frac{\sum_{i = 1}^{t - 1} 1_{{a_{i} = 0 \cap d m p_{i} > 0}}}{t - 1}$
¬HotelAcceptance Lose	Avg #trials where the hotel was not accepted but the payoff would have been negative if the DM had accepted it.*	$\frac{\sum_{i = 1}^{t - 1} 1_{{a_{i} = 0 \cap d m p_{i} < 0}}}{t - 1}$
BadHotel Acceptance	Avg #trials where a hotel with average score lower than 7.5 was accepted.	$\frac{\sum_{i = 1}^{t - 1} 1_{{a_{i} = 1 \cap s (h i) < 7.5}}}{t - 1}$
¬ExcellentHotel Acceptance	Avg #trials where a hotel with average score higher than 9.5 was accepted.	$\frac{\sum_{i = 1}^{t - 1} 1_{{a_{i} = 0 \cap s (h i) > 9.5}}}{t - 1}$
DMPayoff	Avg DM’s payoff pet trial	$\frac{\sum_{i = 1}^{t - 1} d m p_{i}}{t - 1}$

General Features
LotteryLow	Avg #trials where the lottery result was lower than 3.*	$\frac{\sum_{i = 1}^{t - 1} 1_{{l_{i} < 3}}}{t - 1}$
LotteryMed	Avg #trials where the lottery result was between 3 to 5.*	$\frac{\sum_{i = 1}^{t - 1} 1_{{l_{i} \geq 3 \cap l_{i} < 5}}}{t - 1}$
LotteryHigh	Avg #trials where the lottery result was higher than 8.*	$\frac{\sum_{i = 1}^{t - 1} 1_{{l_{i} \geq 8}}}{t - 1}$
CompletedTrials	The proportion of trials that have already been played.	$\frac{t - 1}{10}$
GoodHotel	Avg score of the current hotel is higher than 8.5.	$1_{{s (h_{t}) \geq 8.5}}$
MedHotel	Avg score of the current hotel is between 7.8 to 8.5.	$1_{{s (h_{t}) < 8.5 \cap s (h_{t}) \geq 7.5}}$
BadHotel	Avg score of the hotel is lower than 7.5.	$1_{{s (h_{t}) \leq 7.5}}$
HighScore	The attached score of the presented review is higher than 8.5.	$1_{{s (r_{t}) \geq 8.5}}$
MedScore	The attached score of the presented review is between 7.5 to 8.5.	$1_{{s (r_{t}) < 8.5 \cap s (r_{t}) \geq 7.5}}$
LowScore	The attached score of the presented review is lower than 7.5.	$1_{{s (r_{t}) < 7.5}}$
TopReview	The attached score of the presented review is in the top 3 scoring reviews.	$1_{{s (r_{t}) \in top 3 scores}}$
BottomReview	The attached score of the presented review is not in the top 3 scoring reviews.	$1_{{s (r_{t}) \notin top 3 scores}}$

Feature Name	Feature Description	Feature Formulation
Behavioral Features
HotelAcceptance	Avg #trials where the hotel was accepted	$\frac{\sum_{i = 1}^{t - 1} 1_{{a_{i} = 1}}}{t - 1}$
HotelAcceptance Earn	Avg #trials where the hotel was accepted and the DM achieved a negative payoff.*	$\frac{\sum_{i = 1}^{t - 1} 1_{{a_{i} = 1 \cap d m p_{i} > 0}}}{t - 1}$
HotelAcceptance Lose	Avg #trials where the hotel was accepted and the DM achieved a positive payoff.*	$\frac{\sum_{i = 1}^{t - 1} 1_{{a_{i} = 1 \cap d m p_{i} < 0}}}{t - 1}$
¬HotelAcceptance Earn	Avg #trials where the hotel was not accepted but the payoff would have been positive if the DM had accepted it.*	$\frac{\sum_{i = 1}^{t - 1} 1_{{a_{i} = 0 \cap d m p_{i} > 0}}}{t - 1}$
¬HotelAcceptance Lose	Avg #trials where the hotel was not accepted but the payoff would have been negative if the DM had accepted it.*	$\frac{\sum_{i = 1}^{t - 1} 1_{{a_{i} = 0 \cap d m p_{i} < 0}}}{t - 1}$
BadHotel Acceptance	Avg #trials where a hotel with average score lower than 7.5 was accepted.	$\frac{\sum_{i = 1}^{t - 1} 1_{{a_{i} = 1 \cap s (h i) < 7.5}}}{t - 1}$
¬ExcellentHotel Acceptance	Avg #trials where a hotel with average score higher than 9.5 was accepted.	$\frac{\sum_{i = 1}^{t - 1} 1_{{a_{i} = 0 \cap s (h i) > 9.5}}}{t - 1}$
DMPayoff	Avg DM’s payoff pet trial	$\frac{\sum_{i = 1}^{t - 1} d m p_{i}}{t - 1}$

General Features
LotteryLow	Avg #trials where the lottery result was lower than 3.*	$\frac{\sum_{i = 1}^{t - 1} 1_{{l_{i} < 3}}}{t - 1}$
LotteryMed	Avg #trials where the lottery result was between 3 to 5.*	$\frac{\sum_{i = 1}^{t - 1} 1_{{l_{i} \geq 3 \cap l_{i} < 5}}}{t - 1}$
LotteryHigh	Avg #trials where the lottery result was higher than 8.*	$\frac{\sum_{i = 1}^{t - 1} 1_{{l_{i} \geq 8}}}{t - 1}$
CompletedTrials	The proportion of trials that have already been played.	$\frac{t - 1}{10}$
GoodHotel	Avg score of the current hotel is higher than 8.5.	$1_{{s (h_{t}) \geq 8.5}}$
MedHotel	Avg score of the current hotel is between 7.8 to 8.5.	$1_{{s (h_{t}) < 8.5 \cap s (h_{t}) \geq 7.5}}$
BadHotel	Avg score of the hotel is lower than 7.5.	$1_{{s (h_{t}) \leq 7.5}}$
HighScore	The attached score of the presented review is higher than 8.5.	$1_{{s (r_{t}) \geq 8.5}}$
MedScore	The attached score of the presented review is between 7.5 to 8.5.	$1_{{s (r_{t}) < 8.5 \cap s (r_{t}) \geq 7.5}}$
LowScore	The attached score of the presented review is lower than 7.5.	$1_{{s (r_{t}) < 7.5}}$
TopReview	The attached score of the presented review is in the top 3 scoring reviews.	$1_{{s (r_{t}) \in top 3 scores}}$
BottomReview	The attached score of the presented review is not in the top 3 scoring reviews.	$1_{{s (r_{t}) \notin top 3 scores}}$

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