How it Works
TravelRecs turns Reddit travel discussions into ranked, structured recommendations. Here's the pipeline from raw posts to what you see on screen.
We collect Reddit discussions
Thousands of threads from travel subreddits are pulled every quarter — questions like "best neighborhoods in Tokyo?", "where to eat in Bangkok?", and "worth visiting Nikko?". We focus on threads with real discussion, not just a single-line reply.
Places are extracted from comments
Each comment is scanned for mentions of specific places — a neighborhood, a restaurant name, a temple, a hotel. We normalize variations ("Senso-ji", "Senso Ji", "Asakusa temple") into a single canonical name so counts don't get fragmented.
Sentiment is scored per mention
Each mention is scored: positive (recommended, praised), neutral (mentioned without strong opinion), or negative (warned against, complained about). We use the surrounding context — the full comment, the thread title, and any replies — to get the sentiment right.
Places are ranked by aggregated sentiment
A place's score is a weighted combination of its positive sentiment ratio and its total mention count. A place with 30 mentions at 85% positive beats one with 5 mentions at 100% positive. Volume is evidence of consistency.
Pros, cons, and context are surfaced
We extract the specific things people praise and criticize — not just a score but the reasons behind it. You see "quiet and central, great subway access" alongside the occasional "too quiet at night", so you can decide for yourself.
What it doesn't do
- ✕It doesn't verify that a place is still open or operating
- ✕It doesn't track prices — those change too fast to be reliable
- ✕It doesn't catch irony or sarcasm reliably
- ✕It doesn't represent every traveler — Reddit skews English-speaking and budget-conscious